id	sid	tid	token	lemma	pos
cana-1222	1	1	communications	communication	NOUN
cana-1222	1	2	on	on	ADP
cana-1222	1	3	applied	apply	VERB
cana-1222	1	4	nonlinear	nonlinear	ADJ
cana-1222	1	5	analysis	analysis	NOUN
cana-1222	1	6	issn	issn	NOUN
cana-1222	1	7	:	:	PUNCT
cana-1222	1	8	1074	1074	NUM
cana-1222	1	9	-	-	PUNCT
cana-1222	1	10	133x	133x	NUM
cana-1222	1	11	vol	vol	NOUN
cana-1222	1	12	31	31	NUM
cana-1222	1	13	no	no	NOUN
cana-1222	1	14	.	.	PUNCT
cana-1222	2	1	6s	6s	NUM
cana-1222	2	2	(	(	PUNCT
cana-1222	2	3	2024	2024	NUM
cana-1222	2	4	)	)	PUNCT
cana-1222	2	5	281	281	NUM
cana-1222	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1222	2	7	synergizing	synergize	VERB
cana-1222	2	8	remote	remote	ADJ
cana-1222	2	9	sensing	sensing	NOUN
cana-1222	2	10	,	,	PUNCT
cana-1222	2	11	geospatial	geospatial	ADJ
cana-1222	2	12	intelligence	intelligence	NOUN
cana-1222	2	13	,	,	PUNCT
cana-1222	2	14	applied	apply	VERB
cana-1222	2	15	nonlinear	nonlinear	ADJ
cana-1222	2	16	analysis	analysis	NOUN
cana-1222	2	17	,	,	PUNCT
cana-1222	2	18	and	and	CCONJ
cana-1222	2	19	ai	ai	VERB
cana-1222	2	20	for	for	ADP
cana-1222	2	21	sustainable	sustainable	ADJ
cana-1222	2	22	environmental	environmental	ADJ
cana-1222	2	23	monitoring	monitoring	NOUN
cana-1222	2	24	dr.n.shanmugapriya1	dr.n.shanmugapriya1	PROPN
cana-1222	2	25	,	,	PUNCT
cana-1222	2	26	ali	ali	PROPN
cana-1222	2	27	bostani2	bostani2	PROPN
cana-1222	2	28	,	,	PUNCT
cana-1222	2	29	ali	ali	PROPN
cana-1222	2	30	nabavi3	nabavi3	PROPN
cana-1222	2	31	,	,	PUNCT
cana-1222	2	32	dr.d.sasikala4	dr.d.sasikala4	PROPN
cana-1222	2	33	,	,	PUNCT
cana-1222	2	34	dr.t.elangovan5	dr.t.elangovan5	PROPN
cana-1222	2	35	,	,	PUNCT
cana-1222	2	36	kodirova	kodirova	VERB
cana-1222	2	37	surayyo	surayyo	PROPN
cana-1222	2	38	adilovna6	adilovna6	PROPN
cana-1222	2	39	1assistant	1assistant	NUM
cana-1222	2	40	professor	professor	NOUN
cana-1222	2	41	&	&	CCONJ
cana-1222	2	42	head	head	PROPN
cana-1222	2	43	,	,	PUNCT
cana-1222	2	44	department	department	NOUN
cana-1222	2	45	of	of	ADP
cana-1222	2	46	information	information	NOUN
cana-1222	2	47	technology	technology	NOUN
cana-1222	2	48	,	,	PUNCT
cana-1222	2	49	erode	erode	NOUN
cana-1222	2	50	arts	art	NOUN
cana-1222	2	51	and	and	CCONJ
cana-1222	2	52	science	science	PROPN
cana-1222	2	53	college	college	PROPN
cana-1222	2	54	(	(	PUNCT
cana-1222	2	55	autonomous	autonomous	ADJ
cana-1222	2	56	)	)	PUNCT
cana-1222	2	57	erode	erode	PROPN
cana-1222	2	58	,	,	PUNCT
cana-1222	2	59	tamilnadu	tamilnadu	NOUN
cana-1222	2	60	,	,	PUNCT
cana-1222	2	61	india	india	PROPN
cana-1222	2	62	.	.	PUNCT
cana-1222	3	1	email	email	NOUN
cana-1222	3	2	:	:	PUNCT
cana-1222	4	1	sweetypriya26@gmail.com	sweetypriya26@gmail.com	PROPN
cana-1222	4	2	2assistant	2assistant	PROPN
cana-1222	4	3	professor	professor	NOUN
cana-1222	4	4	,	,	PUNCT
cana-1222	4	5	college	college	NOUN
cana-1222	4	6	of	of	ADP
cana-1222	4	7	engineering	engineering	NOUN
cana-1222	4	8	and	and	CCONJ
cana-1222	4	9	applied	apply	VERB
cana-1222	4	10	sciences	science	NOUN
cana-1222	4	11	,	,	PUNCT
cana-1222	4	12	american	american	PROPN
cana-1222	4	13	university	university	PROPN
cana-1222	4	14	of	of	ADP
cana-1222	4	15	kuwait	kuwait	PROPN
cana-1222	4	16	,	,	PUNCT
cana-1222	4	17	salmiya	salmiya	PROPN
cana-1222	4	18	,	,	PUNCT
cana-1222	4	19	kuwait	kuwait	PROPN
cana-1222	4	20	.	.	PUNCT
cana-1222	5	1	eamil	eamil	PROPN
cana-1222	5	2	:	:	PUNCT
cana-1222	5	3	abostani@auk.edu.kw	abostani@auk.edu.kw	PROPN
cana-1222	5	4	3faculty	3faculty	NUM
cana-1222	5	5	of	of	ADP
cana-1222	5	6	engineering	engineering	NOUN
cana-1222	5	7	,	,	PUNCT
cana-1222	5	8	mathematics	mathematics	NOUN
cana-1222	5	9	division	division	NOUN
cana-1222	5	10	,	,	PUNCT
cana-1222	5	11	kuwait	kuwait	PROPN
cana-1222	5	12	college	college	PROPN
cana-1222	5	13	of	of	ADP
cana-1222	5	14	science	science	NOUN
cana-1222	5	15	and	and	CCONJ
cana-1222	5	16	technology	technology	NOUN
cana-1222	5	17	(	(	PUNCT
cana-1222	5	18	kcst	kcst	PROPN
cana-1222	5	19	)	)	PUNCT
cana-1222	5	20	,	,	PUNCT
cana-1222	5	21	doha	doha	PROPN
cana-1222	5	22	area	area	NOUN
cana-1222	5	23	,	,	PUNCT
cana-1222	5	24	7th	7th	ADJ
cana-1222	5	25	ring	ring	NOUN
cana-1222	5	26	road	road	NOUN
cana-1222	5	27	,	,	PUNCT
cana-1222	5	28	kuwait	kuwait	PROPN
cana-1222	5	29	.	.	PUNCT
cana-1222	6	1	email	email	NOUN
cana-1222	6	2	:	:	PUNCT
cana-1222	6	3	a.nabavi@kcst.edu.kw	a.nabavi@kcst.edu.kw	NOUN
cana-1222	6	4	4assistant	4assistant	NUM
cana-1222	6	5	professor	professor	NOUN
cana-1222	6	6	,	,	PUNCT
cana-1222	6	7	department	department	NOUN
cana-1222	6	8	of	of	ADP
cana-1222	6	9	computer	computer	NOUN
cana-1222	6	10	science	science	NOUN
cana-1222	6	11	,	,	PUNCT
cana-1222	6	12	sri	sri	PROPN
cana-1222	6	13	vasavi	vasavi	PROPN
cana-1222	6	14	college	college	PROPN
cana-1222	6	15	,	,	PUNCT
cana-1222	6	16	erode-638316	erode-638316	PROPN
cana-1222	6	17	.	.	PUNCT
cana-1222	6	18	email	email	NOUN
cana-1222	6	19	:	:	PUNCT
cana-1222	6	20	sasikalad@gmail.com	sasikalad@gmail.com	X
cana-1222	6	21	5assistant	5assistant	NUM
cana-1222	6	22	professor	professor	NOUN
cana-1222	6	23	,	,	PUNCT
cana-1222	6	24	department	department	NOUN
cana-1222	6	25	of	of	ADP
cana-1222	6	26	computer	computer	NOUN
cana-1222	6	27	science	science	NOUN
cana-1222	6	28	,	,	PUNCT
cana-1222	6	29	erode	erode	NOUN
cana-1222	6	30	arts	art	NOUN
cana-1222	6	31	and	and	CCONJ
cana-1222	6	32	science	science	PROPN
cana-1222	6	33	college	college	PROPN
cana-1222	6	34	,	,	PUNCT
cana-1222	6	35	erode	erode	VERB
cana-1222	6	36	,	,	PUNCT
cana-1222	6	37	tamilnadu	tamilnadu	NOUN
cana-1222	6	38	,	,	PUNCT
cana-1222	6	39	india	india	PROPN
cana-1222	6	40	email	email	NOUN
cana-1222	6	41	elangobrave@gmail.com	elangobrave@gmail.com	PROPN
cana-1222	6	42	6professor	6professor	PROPN
cana-1222	6	43	,	,	PUNCT
cana-1222	6	44	the	the	DET
cana-1222	6	45	department	department	NOUN
cana-1222	6	46	of	of	ADP
cana-1222	6	47	"	"	PUNCT
cana-1222	6	48	architectural	architectural	ADJ
cana-1222	6	49	design	design	NOUN
cana-1222	6	50	"	"	PUNCT
cana-1222	6	51	,	,	PUNCT
cana-1222	6	52	tashkent	tashkent	PROPN
cana-1222	6	53	university	university	NOUN
cana-1222	6	54	of	of	ADP
cana-1222	6	55	architecture	architecture	NOUN
cana-1222	6	56	and	and	CCONJ
cana-1222	6	57	construction	construction	NOUN
cana-1222	6	58	,	,	PUNCT
cana-1222	6	59	tashkent	tashkent	NOUN
cana-1222	6	60	,	,	PUNCT
cana-1222	6	61	uzbekistan	uzbekistan	PROPN
cana-1222	6	62	.	.	PUNCT
cana-1222	7	1	email	email	NOUN
cana-1222	7	2	:	:	PUNCT
cana-1222	7	3	kadirovasurayyo32@mail.com	kadirovasurayyo32@mail.com	X
cana-1222	7	4	article	article	NOUN
cana-1222	7	5	history	history	NOUN
cana-1222	7	6	:	:	PUNCT
cana-1222	7	7	received	receive	VERB
cana-1222	7	8	:	:	PUNCT
cana-1222	7	9	07	07	NUM
cana-1222	7	10	-	-	PUNCT
cana-1222	7	11	06	06	NUM
cana-1222	7	12	-	-	PUNCT
cana-1222	7	13	2024	2024	NUM
cana-1222	7	14	revised	revise	VERB
cana-1222	7	15	:	:	PUNCT
cana-1222	7	16	09	09	NUM
cana-1222	7	17	-	-	SYM
cana-1222	7	18	07	07	NUM
cana-1222	7	19	-	-	PUNCT
cana-1222	7	20	2024	2024	NUM
cana-1222	7	21	accepted	accept	VERB
cana-1222	7	22	:	:	PUNCT
cana-1222	7	23	26	26	NUM
cana-1222	7	24	-	-	SYM
cana-1222	7	25	07	07	NUM
cana-1222	7	26	-	-	PUNCT
cana-1222	7	27	2024	2024	NUM
cana-1222	7	28	abstract	abstract	NOUN
cana-1222	7	29	:	:	PUNCT
cana-1222	7	30	the	the	DET
cana-1222	7	31	incorporation	incorporation	NOUN
cana-1222	7	32	of	of	ADP
cana-1222	7	33	remote	remote	ADJ
cana-1222	7	34	sensing	sensing	NOUN
cana-1222	7	35	,	,	PUNCT
cana-1222	7	36	geospatial	geospatial	ADJ
cana-1222	7	37	intelligence	intelligence	NOUN
cana-1222	7	38	(	(	PUNCT
cana-1222	7	39	geoint	geoint	NOUN
cana-1222	7	40	)	)	PUNCT
cana-1222	7	41	,	,	PUNCT
cana-1222	7	42	and	and	CCONJ
cana-1222	7	43	artificial	artificial	ADJ
cana-1222	7	44	intelligence	intelligence	NOUN
cana-1222	7	45	(	(	PUNCT
cana-1222	7	46	ai	ai	NOUN
cana-1222	7	47	)	)	PUNCT
cana-1222	7	48	for	for	ADP
cana-1222	7	49	land	land	NOUN
cana-1222	7	50	cover	cover	NOUN
cana-1222	7	51	classification	classification	NOUN
cana-1222	7	52	facilitates	facilitate	VERB
cana-1222	7	53	the	the	DET
cana-1222	7	54	efficient	efficient	ADJ
cana-1222	7	55	gathering	gathering	NOUN
cana-1222	7	56	of	of	ADP
cana-1222	7	57	data	datum	NOUN
cana-1222	7	58	,	,	PUNCT
cana-1222	7	59	sophisticated	sophisticated	ADJ
cana-1222	7	60	spatial	spatial	ADJ
cana-1222	7	61	analysis	analysis	NOUN
cana-1222	7	62	,	,	PUNCT
cana-1222	7	63	and	and	CCONJ
cana-1222	7	64	the	the	DET
cana-1222	7	65	development	development	NOUN
cana-1222	7	66	of	of	ADP
cana-1222	7	67	prediction	prediction	NOUN
cana-1222	7	68	models	model	NOUN
cana-1222	7	69	.	.	PUNCT
cana-1222	8	1	this	this	DET
cana-1222	8	2	collaborative	collaborative	ADJ
cana-1222	8	3	method	method	NOUN
cana-1222	8	4	improves	improve	VERB
cana-1222	8	5	the	the	DET
cana-1222	8	6	precision	precision	NOUN
cana-1222	8	7	and	and	CCONJ
cana-1222	8	8	promptness	promptness	NOUN
cana-1222	8	9	of	of	ADP
cana-1222	8	10	environmental	environmental	ADJ
cana-1222	8	11	monitoring	monitoring	NOUN
cana-1222	8	12	,	,	PUNCT
cana-1222	8	13	bolstering	bolster	VERB
cana-1222	8	14	sustainable	sustainable	ADJ
cana-1222	8	15	resource	resource	NOUN
cana-1222	8	16	management	management	NOUN
cana-1222	8	17	and	and	CCONJ
cana-1222	8	18	proactive	proactive	ADJ
cana-1222	8	19	decision	decision	NOUN
cana-1222	8	20	-	-	PUNCT
cana-1222	8	21	making	making	NOUN
cana-1222	8	22	.	.	PUNCT
cana-1222	9	1	the	the	DET
cana-1222	9	2	study	study	NOUN
cana-1222	9	3	used	use	VERB
cana-1222	9	4	an	an	DET
cana-1222	9	5	advanced	advanced	ADJ
cana-1222	9	6	methodology	methodology	NOUN
cana-1222	9	7	involving	involve	VERB
cana-1222	9	8	a	a	DET
cana-1222	9	9	modified	modify	VERB
cana-1222	9	10	vgg16	vgg16	NOUN
cana-1222	9	11	model	model	NOUN
cana-1222	9	12	,	,	PUNCT
cana-1222	9	13	achieving	achieve	VERB
cana-1222	9	14	an	an	DET
cana-1222	9	15	outstanding	outstanding	ADJ
cana-1222	9	16	accuracy	accuracy	NOUN
cana-1222	9	17	rate	rate	NOUN
cana-1222	9	18	of	of	ADP
cana-1222	9	19	97.34	97.34	NUM
cana-1222	9	20	%	%	NOUN
cana-1222	9	21	.	.	PUNCT
cana-1222	10	1	this	this	DET
cana-1222	10	2	approach	approach	NOUN
cana-1222	10	3	outperforms	outperform	VERB
cana-1222	10	4	traditional	traditional	ADJ
cana-1222	10	5	algorithms	algorithm	NOUN
cana-1222	10	6	,	,	PUNCT
cana-1222	10	7	showcasing	showcase	VERB
cana-1222	10	8	its	its	PRON
cana-1222	10	9	efficacy	efficacy	NOUN
cana-1222	10	10	in	in	ADP
cana-1222	10	11	precisely	precisely	ADV
cana-1222	10	12	classifying	classify	VERB
cana-1222	10	13	land	land	NOUN
cana-1222	10	14	cover	cover	NOUN
cana-1222	10	15	categories	category	NOUN
cana-1222	10	16	.	.	PUNCT
cana-1222	11	1	the	the	DET
cana-1222	11	2	utilization	utilization	NOUN
cana-1222	11	3	of	of	ADP
cana-1222	11	4	remote	remote	ADJ
cana-1222	11	5	sensing	sense	VERB
cana-1222	11	6	technology	technology	NOUN
cana-1222	11	7	enables	enable	VERB
cana-1222	11	8	the	the	DET
cana-1222	11	9	effective	effective	ADJ
cana-1222	11	10	gathering	gathering	NOUN
cana-1222	11	11	of	of	ADP
cana-1222	11	12	data	datum	NOUN
cana-1222	11	13	,	,	PUNCT
cana-1222	11	14	while	while	SCONJ
cana-1222	11	15	geoint	geoint	NOUN
cana-1222	11	16	enhances	enhance	VERB
cana-1222	11	17	the	the	DET
cana-1222	11	18	spatial	spatial	ADJ
cana-1222	11	19	analysis	analysis	NOUN
cana-1222	11	20	capabilities	capability	NOUN
cana-1222	11	21	using	use	VERB
cana-1222	11	22	modern	modern	ADJ
cana-1222	11	23	techniques	technique	NOUN
cana-1222	11	24	.	.	PUNCT
cana-1222	12	1	the	the	DET
cana-1222	12	2	ai	ai	NOUN
cana-1222	12	3	-	-	PUNCT
cana-1222	12	4	powered	powered	ADJ
cana-1222	12	5	modified	modify	VERB
cana-1222	12	6	vgg16	vgg16	NOUN
cana-1222	12	7	model	model	NOUN
cana-1222	12	8	has	have	VERB
cana-1222	12	9	exceptional	exceptional	ADJ
cana-1222	12	10	performance	performance	NOUN
cana-1222	12	11	in	in	ADP
cana-1222	12	12	predictive	predictive	ADJ
cana-1222	12	13	modeling	modeling	NOUN
cana-1222	12	14	,	,	PUNCT
cana-1222	12	15	allowing	allow	VERB
cana-1222	12	16	for	for	ADP
cana-1222	12	17	the	the	DET
cana-1222	12	18	implementation	implementation	NOUN
cana-1222	12	19	of	of	ADP
cana-1222	12	20	proactive	proactive	ADJ
cana-1222	12	21	management	management	NOUN
cana-1222	12	22	measures	measure	NOUN
cana-1222	12	23	.	.	PUNCT
cana-1222	13	1	the	the	DET
cana-1222	13	2	abstract	abstract	ADJ
cana-1222	13	3	highlights	highlight	NOUN
cana-1222	13	4	the	the	DET
cana-1222	13	5	significant	significant	ADJ
cana-1222	13	6	and	and	CCONJ
cana-1222	13	7	revolutionary	revolutionary	ADJ
cana-1222	13	8	effects	effect	NOUN
cana-1222	13	9	of	of	ADP
cana-1222	13	10	this	this	DET
cana-1222	13	11	comprehensive	comprehensive	ADJ
cana-1222	13	12	method	method	NOUN
cana-1222	13	13	on	on	ADP
cana-1222	13	14	environmental	environmental	ADJ
cana-1222	13	15	monitoring	monitoring	NOUN
cana-1222	13	16	,	,	PUNCT
cana-1222	13	17	providing	provide	VERB
cana-1222	13	18	unparalleled	unparalleled	ADJ
cana-1222	13	19	capacities	capacity	NOUN
cana-1222	13	20	for	for	ADP
cana-1222	13	21	data	datum	NOUN
cana-1222	13	22	analysis	analysis	NOUN
cana-1222	13	23	and	and	CCONJ
cana-1222	13	24	decision	decision	NOUN
cana-1222	13	25	-	-	PUNCT
cana-1222	13	26	making	making	NOUN
cana-1222	13	27	.	.	PUNCT
cana-1222	14	1	the	the	DET
cana-1222	14	2	findings	finding	NOUN
cana-1222	14	3	highlight	highlight	VERB
cana-1222	14	4	the	the	DET
cana-1222	14	5	importance	importance	NOUN
cana-1222	14	6	of	of	ADP
cana-1222	14	7	cooperation	cooperation	NOUN
cana-1222	14	8	between	between	ADP
cana-1222	14	9	researchers	researcher	NOUN
cana-1222	14	10	,	,	PUNCT
cana-1222	14	11	policymakers	policymaker	NOUN
cana-1222	14	12	,	,	PUNCT
cana-1222	14	13	and	and	CCONJ
cana-1222	14	14	industry	industry	NOUN
cana-1222	14	15	stakeholders	stakeholder	NOUN
cana-1222	14	16	to	to	PART
cana-1222	14	17	fully	fully	ADV
cana-1222	14	18	utilize	utilize	VERB
cana-1222	14	19	the	the	DET
cana-1222	14	20	capabilities	capability	NOUN
cana-1222	14	21	of	of	ADP
cana-1222	14	22	these	these	DET
cana-1222	14	23	technologies	technology	NOUN
cana-1222	14	24	and	and	CCONJ
cana-1222	14	25	tackle	tackle	VERB
cana-1222	14	26	obstacles	obstacle	NOUN
cana-1222	14	27	in	in	ADP
cana-1222	14	28	sustainable	sustainable	ADJ
cana-1222	14	29	environmental	environmental	ADJ
cana-1222	14	30	management	management	NOUN
cana-1222	14	31	.	.	PUNCT
cana-1222	15	1	keywords	keyword	NOUN
cana-1222	15	2	:	:	PUNCT
cana-1222	15	3	land	land	NOUN
cana-1222	15	4	cover	cover	NOUN
cana-1222	15	5	,	,	PUNCT
cana-1222	15	6	remote	remote	ADJ
cana-1222	15	7	-	-	PUNCT
cana-1222	15	8	sensing	sense	VERB
cana-1222	15	9	,	,	PUNCT
cana-1222	15	10	environment	environment	NOUN
cana-1222	15	11	,	,	PUNCT
cana-1222	15	12	monitoring	monitoring	NOUN
cana-1222	15	13	,	,	PUNCT
cana-1222	15	14	deep	deep	ADJ
cana-1222	15	15	learning	learning	NOUN
cana-1222	15	16	,	,	PUNCT
cana-1222	15	17	accuracy	accuracy	NOUN
cana-1222	15	18	,	,	PUNCT
cana-1222	15	19	and	and	CCONJ
cana-1222	15	20	gradient	gradient	ADJ
cana-1222	15	21	loss	loss	NOUN
cana-1222	15	22	.	.	PUNCT
cana-1222	16	1	mailto:sweetypriya26@gmail.com	mailto:sweetypriya26@gmail.com	PROPN
cana-1222	16	2	mailto:elangobrave@gmail.com	mailto:elangobrave@gmail.com	PROPN
cana-1222	16	3	communications	communication	NOUN
cana-1222	16	4	on	on	ADP
cana-1222	16	5	applied	apply	VERB
cana-1222	16	6	nonlinear	nonlinear	ADJ
cana-1222	16	7	analysis	analysis	NOUN
cana-1222	16	8	issn	issn	NOUN
cana-1222	16	9	:	:	PUNCT
cana-1222	16	10	1074	1074	NUM
cana-1222	16	11	-	-	PUNCT
cana-1222	16	12	133x	133x	NUM
cana-1222	16	13	vol	vol	NOUN
cana-1222	16	14	31	31	NUM
cana-1222	16	15	no	no	NOUN
cana-1222	16	16	.	.	PUNCT
cana-1222	17	1	6s	6s	NUM
cana-1222	17	2	(	(	PUNCT
cana-1222	17	3	2024	2024	NUM
cana-1222	17	4	)	)	PUNCT
cana-1222	17	5	282	282	NUM
cana-1222	17	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1222	17	7	1	1	X
cana-1222	17	8	.	.	PUNCT
cana-1222	18	1	introduction	introduction	NOUN
cana-1222	18	2	sustainable	sustainable	ADJ
cana-1222	18	3	environmental	environmental	ADJ
cana-1222	18	4	monitoring	monitoring	NOUN
cana-1222	18	5	is	be	AUX
cana-1222	18	6	a	a	DET
cana-1222	18	7	fundamental	fundamental	ADJ
cana-1222	18	8	aspect	aspect	NOUN
cana-1222	18	9	of	of	ADP
cana-1222	18	10	modern	modern	ADJ
cana-1222	18	11	environmental	environmental	ADJ
cana-1222	18	12	management	management	NOUN
cana-1222	18	13	.	.	PUNCT
cana-1222	19	1	its	its	PRON
cana-1222	19	2	goal	goal	NOUN
cana-1222	19	3	is	be	AUX
cana-1222	19	4	to	to	PART
cana-1222	19	5	achieve	achieve	VERB
cana-1222	19	6	a	a	DET
cana-1222	19	7	balance	balance	NOUN
cana-1222	19	8	between	between	ADP
cana-1222	19	9	the	the	DET
cana-1222	19	10	use	use	NOUN
cana-1222	19	11	of	of	ADP
cana-1222	19	12	resources	resource	NOUN
cana-1222	19	13	and	and	CCONJ
cana-1222	19	14	the	the	DET
cana-1222	19	15	preservation	preservation	NOUN
cana-1222	19	16	of	of	ADP
cana-1222	19	17	ecosystems	ecosystem	NOUN
cana-1222	19	18	,	,	PUNCT
cana-1222	19	19	ensuring	ensure	VERB
cana-1222	19	20	the	the	DET
cana-1222	19	21	well	well	ADV
cana-1222	19	22	-	-	PUNCT
cana-1222	19	23	being	being	NOUN
cana-1222	19	24	of	of	ADP
cana-1222	19	25	future	future	ADJ
cana-1222	19	26	generations	generation	NOUN
cana-1222	19	27	.	.	PUNCT
cana-1222	20	1	the	the	DET
cana-1222	20	2	combination	combination	NOUN
cana-1222	20	3	of	of	ADP
cana-1222	20	4	remote	remote	ADJ
cana-1222	20	5	sensing	sensing	NOUN
cana-1222	20	6	,	,	PUNCT
cana-1222	20	7	geospatial	geospatial	ADJ
cana-1222	20	8	intelligence	intelligence	NOUN
cana-1222	20	9	(	(	PUNCT
cana-1222	20	10	geoint	geoint	NOUN
cana-1222	20	11	)	)	PUNCT
cana-1222	20	12	,	,	PUNCT
cana-1222	20	13	and	and	CCONJ
cana-1222	20	14	artificial	artificial	ADJ
cana-1222	20	15	intelligence	intelligence	NOUN
cana-1222	20	16	(	(	PUNCT
cana-1222	20	17	ai	ai	AUX
cana-1222	20	18	)	)	PUNCT
cana-1222	20	19	forms	form	VERB
cana-1222	20	20	a	a	DET
cana-1222	20	21	revolutionary	revolutionary	ADJ
cana-1222	20	22	approach	approach	NOUN
cana-1222	20	23	that	that	PRON
cana-1222	20	24	greatly	greatly	ADV
cana-1222	20	25	improves	improve	VERB
cana-1222	20	26	the	the	DET
cana-1222	20	27	effectiveness	effectiveness	NOUN
cana-1222	20	28	and	and	CCONJ
cana-1222	20	29	influence	influence	NOUN
cana-1222	20	30	of	of	ADP
cana-1222	20	31	environmental	environmental	ADJ
cana-1222	20	32	monitoring	monitoring	NOUN
cana-1222	20	33	efforts	effort	NOUN
cana-1222	20	34	[	[	X
cana-1222	20	35	1	1	NUM
cana-1222	20	36	]	]	PUNCT
cana-1222	20	37	.	.	PUNCT
cana-1222	21	1	the	the	DET
cana-1222	21	2	combination	combination	NOUN
cana-1222	21	3	of	of	ADP
cana-1222	21	4	these	these	DET
cana-1222	21	5	technologies	technology	NOUN
cana-1222	21	6	allows	allow	VERB
cana-1222	21	7	for	for	ADP
cana-1222	21	8	numerous	numerous	ADJ
cana-1222	21	9	advantages	advantage	NOUN
cana-1222	21	10	,	,	PUNCT
cana-1222	21	11	including	include	VERB
cana-1222	21	12	the	the	DET
cana-1222	21	13	ability	ability	NOUN
cana-1222	21	14	to	to	PART
cana-1222	21	15	collect	collect	VERB
cana-1222	21	16	data	datum	NOUN
cana-1222	21	17	efficiently	efficiently	ADV
cana-1222	21	18	through	through	ADP
cana-1222	21	19	remote	remote	ADJ
cana-1222	21	20	sensing	sense	VERB
cana-1222	21	21	technologies	technology	NOUN
cana-1222	21	22	,	,	PUNCT
cana-1222	21	23	perform	perform	VERB
cana-1222	21	24	advanced	advanced	ADJ
cana-1222	21	25	spatial	spatial	ADJ
cana-1222	21	26	analysis	analysis	NOUN
cana-1222	21	27	using	use	VERB
cana-1222	21	28	geoint	geoint	NOUN
cana-1222	21	29	,	,	PUNCT
cana-1222	21	30	and	and	CCONJ
cana-1222	21	31	utilize	utilize	VERB
cana-1222	21	32	predictive	predictive	ADJ
cana-1222	21	33	modeling	modeling	NOUN
cana-1222	21	34	skills	skill	NOUN
cana-1222	21	35	provided	provide	VERB
cana-1222	21	36	by	by	ADP
cana-1222	21	37	ai	ai	NOUN
cana-1222	21	38	.	.	PUNCT
cana-1222	22	1	this	this	DET
cana-1222	22	2	comprehensive	comprehensive	ADJ
cana-1222	22	3	approach	approach	NOUN
cana-1222	22	4	promotes	promote	VERB
cana-1222	22	5	a	a	DET
cana-1222	22	6	complete	complete	ADJ
cana-1222	22	7	comprehension	comprehension	NOUN
cana-1222	22	8	of	of	ADP
cana-1222	22	9	environmental	environmental	ADJ
cana-1222	22	10	dynamics	dynamic	NOUN
cana-1222	22	11	,	,	PUNCT
cana-1222	22	12	facilitating	facilitate	VERB
cana-1222	22	13	well	well	ADV
cana-1222	22	14	-	-	PUNCT
cana-1222	22	15	informed	inform	VERB
cana-1222	22	16	decision	decision	NOUN
cana-1222	22	17	-	-	PUNCT
cana-1222	22	18	making	make	VERB
cana-1222	22	19	and	and	CCONJ
cana-1222	22	20	proactive	proactive	ADJ
cana-1222	22	21	management	management	NOUN
cana-1222	22	22	techniques	technique	NOUN
cana-1222	22	23	that	that	PRON
cana-1222	22	24	are	be	AUX
cana-1222	22	25	essential	essential	ADJ
cana-1222	22	26	for	for	ADP
cana-1222	22	27	sustainable	sustainable	ADJ
cana-1222	22	28	development	development	NOUN
cana-1222	22	29	[	[	X
cana-1222	22	30	2	2	NUM
cana-1222	22	31	]	]	PUNCT
cana-1222	22	32	.	.	PUNCT
cana-1222	23	1	remote	remote	ADJ
cana-1222	23	2	sensing	sense	VERB
cana-1222	23	3	technology	technology	NOUN
cana-1222	23	4	,	,	PUNCT
cana-1222	23	5	such	such	ADJ
cana-1222	23	6	as	as	ADP
cana-1222	23	7	satellites	satellite	NOUN
cana-1222	23	8	and	and	CCONJ
cana-1222	23	9	drones	drone	NOUN
cana-1222	23	10	,	,	PUNCT
cana-1222	23	11	are	be	AUX
cana-1222	23	12	crucial	crucial	ADJ
cana-1222	23	13	for	for	ADP
cana-1222	23	14	the	the	DET
cana-1222	23	15	effective	effective	ADJ
cana-1222	23	16	gathering	gathering	NOUN
cana-1222	23	17	of	of	ADP
cana-1222	23	18	environmental	environmental	ADJ
cana-1222	23	19	data	datum	NOUN
cana-1222	23	20	.	.	PUNCT
cana-1222	24	1	satellites	satellite	NOUN
cana-1222	24	2	,	,	PUNCT
cana-1222	24	3	outfitted	outfit	VERB
cana-1222	24	4	with	with	ADP
cana-1222	24	5	a	a	DET
cana-1222	24	6	variety	variety	NOUN
cana-1222	24	7	of	of	ADP
cana-1222	24	8	sensors	sensor	NOUN
cana-1222	24	9	,	,	PUNCT
cana-1222	24	10	gather	gather	VERB
cana-1222	24	11	data	datum	NOUN
cana-1222	24	12	on	on	ADP
cana-1222	24	13	global	global	ADJ
cana-1222	24	14	land	land	NOUN
cana-1222	24	15	cover	cover	NOUN
cana-1222	24	16	changes	change	NOUN
cana-1222	24	17	,	,	PUNCT
cana-1222	24	18	vegetation	vegetation	NOUN
cana-1222	24	19	health	health	NOUN
cana-1222	24	20	,	,	PUNCT
cana-1222	24	21	and	and	CCONJ
cana-1222	24	22	atmospheric	atmospheric	ADJ
cana-1222	24	23	conditions	condition	NOUN
cana-1222	24	24	.	.	PUNCT
cana-1222	25	1	drones	drone	NOUN
cana-1222	25	2	,	,	PUNCT
cana-1222	25	3	due	due	ADP
cana-1222	25	4	to	to	ADP
cana-1222	25	5	their	their	PRON
cana-1222	25	6	nimbleness	nimbleness	NOUN
cana-1222	25	7	and	and	CCONJ
cana-1222	25	8	adaptability	adaptability	NOUN
cana-1222	25	9	,	,	PUNCT
cana-1222	25	10	provide	provide	VERB
cana-1222	25	11	excellent	excellent	ADJ
cana-1222	25	12	spatial	spatial	ADJ
cana-1222	25	13	resolution	resolution	NOUN
cana-1222	25	14	,	,	PUNCT
cana-1222	25	15	enabling	enable	VERB
cana-1222	25	16	precise	precise	ADJ
cana-1222	25	17	data	datum	NOUN
cana-1222	25	18	gathering	gathering	NOUN
cana-1222	25	19	in	in	ADP
cana-1222	25	20	regions	region	NOUN
cana-1222	25	21	with	with	ADP
cana-1222	25	22	intricate	intricate	ADJ
cana-1222	25	23	topography	topography	NOUN
cana-1222	25	24	or	or	CCONJ
cana-1222	25	25	specialized	specialized	ADJ
cana-1222	25	26	monitoring	monitoring	NOUN
cana-1222	25	27	requirements	requirement	NOUN
cana-1222	25	28	.	.	PUNCT
cana-1222	26	1	the	the	DET
cana-1222	26	2	use	use	NOUN
cana-1222	26	3	of	of	ADP
cana-1222	26	4	artificial	artificial	ADJ
cana-1222	26	5	intelligence	intelligence	NOUN
cana-1222	26	6	optimizes	optimize	VERB
cana-1222	26	7	the	the	DET
cana-1222	26	8	handling	handling	NOUN
cana-1222	26	9	and	and	CCONJ
cana-1222	26	10	examination	examination	NOUN
cana-1222	26	11	of	of	ADP
cana-1222	26	12	extensive	extensive	ADJ
cana-1222	26	13	datasets	dataset	NOUN
cana-1222	26	14	,	,	PUNCT
cana-1222	26	15	guaranteeing	guarantee	VERB
cana-1222	26	16	prompt	prompt	ADJ
cana-1222	26	17	and	and	CCONJ
cana-1222	26	18	precise	precise	ADJ
cana-1222	26	19	observations	observation	NOUN
cana-1222	26	20	regarding	regard	VERB
cana-1222	26	21	environmental	environmental	ADJ
cana-1222	26	22	conditions	condition	NOUN
cana-1222	26	23	[	[	X
cana-1222	26	24	3	3	NUM
cana-1222	26	25	]	]	PUNCT
cana-1222	26	26	.	.	PUNCT
cana-1222	27	1	this	this	DET
cana-1222	27	2	increased	increase	VERB
cana-1222	27	3	efficiency	efficiency	NOUN
cana-1222	27	4	not	not	PART
cana-1222	27	5	only	only	ADV
cana-1222	27	6	improves	improve	VERB
cana-1222	27	7	the	the	DET
cana-1222	27	8	amount	amount	NOUN
cana-1222	27	9	and	and	CCONJ
cana-1222	27	10	quality	quality	NOUN
cana-1222	27	11	of	of	ADP
cana-1222	27	12	information	information	NOUN
cana-1222	27	13	accessible	accessible	ADJ
cana-1222	27	14	,	,	PUNCT
cana-1222	27	15	but	but	CCONJ
cana-1222	27	16	also	also	ADV
cana-1222	27	17	allows	allow	VERB
cana-1222	27	18	for	for	ADP
cana-1222	27	19	immediate	immediate	ADJ
cana-1222	27	20	monitoring	monitoring	NOUN
cana-1222	27	21	,	,	PUNCT
cana-1222	27	22	a	a	DET
cana-1222	27	23	critical	critical	ADJ
cana-1222	27	24	factor	factor	NOUN
cana-1222	27	25	in	in	ADP
cana-1222	27	26	dealing	deal	VERB
cana-1222	27	27	with	with	ADP
cana-1222	27	28	ever	ever	ADV
cana-1222	27	29	-	-	PUNCT
cana-1222	27	30	changing	change	VERB
cana-1222	27	31	environmental	environmental	ADJ
cana-1222	27	32	issues	issue	NOUN
cana-1222	27	33	[	[	X
cana-1222	27	34	4	4	NUM
cana-1222	27	35	]	]	PUNCT
cana-1222	27	36	.	.	PUNCT
cana-1222	28	1	geoint	geoint	NOUN
cana-1222	28	2	plays	play	VERB
cana-1222	28	3	a	a	DET
cana-1222	28	4	crucial	crucial	ADJ
cana-1222	28	5	role	role	NOUN
cana-1222	28	6	in	in	ADP
cana-1222	28	7	the	the	DET
cana-1222	28	8	integrated	integrate	VERB
cana-1222	28	9	approach	approach	NOUN
cana-1222	28	10	by	by	ADP
cana-1222	28	11	offering	offer	VERB
cana-1222	28	12	sophisticated	sophisticated	ADJ
cana-1222	28	13	geographical	geographical	ADJ
cana-1222	28	14	analytic	analytic	ADJ
cana-1222	28	15	capabilities	capability	NOUN
cana-1222	28	16	.	.	PUNCT
cana-1222	29	1	this	this	DET
cana-1222	29	2	process	process	NOUN
cana-1222	29	3	entails	entail	VERB
cana-1222	29	4	the	the	DET
cana-1222	29	5	incorporation	incorporation	NOUN
cana-1222	29	6	of	of	ADP
cana-1222	29	7	diverse	diverse	ADJ
cana-1222	29	8	geospatial	geospatial	ADJ
cana-1222	29	9	resources	resource	NOUN
cana-1222	29	10	,	,	PUNCT
cana-1222	29	11	including	include	VERB
cana-1222	29	12	maps	map	NOUN
cana-1222	29	13	,	,	PUNCT
cana-1222	29	14	satellite	satellite	NOUN
cana-1222	29	15	imagery	imagery	NOUN
cana-1222	29	16	,	,	PUNCT
cana-1222	29	17	and	and	CCONJ
cana-1222	29	18	terrain	terrain	NOUN
cana-1222	29	19	models	model	NOUN
cana-1222	29	20	,	,	PUNCT
cana-1222	29	21	to	to	PART
cana-1222	29	22	extract	extract	VERB
cana-1222	29	23	significant	significant	ADJ
cana-1222	29	24	observations	observation	NOUN
cana-1222	29	25	regarding	regard	VERB
cana-1222	29	26	spatial	spatial	ADJ
cana-1222	29	27	connections	connection	NOUN
cana-1222	29	28	and	and	CCONJ
cana-1222	29	29	patterns	pattern	NOUN
cana-1222	29	30	[	[	X
cana-1222	29	31	5	5	NUM
cana-1222	29	32	]	]	PUNCT
cana-1222	29	33	.	.	PUNCT
cana-1222	30	1	spatial	spatial	ADJ
cana-1222	30	2	analysis	analysis	NOUN
cana-1222	30	3	enables	enable	VERB
cana-1222	30	4	a	a	DET
cana-1222	30	5	more	more	ADV
cana-1222	30	6	profound	profound	ADJ
cana-1222	30	7	comprehension	comprehension	NOUN
cana-1222	30	8	of	of	ADP
cana-1222	30	9	environmental	environmental	ADJ
cana-1222	30	10	dynamics	dynamic	NOUN
cana-1222	30	11	by	by	ADP
cana-1222	30	12	discovering	discover	VERB
cana-1222	30	13	trends	trend	NOUN
cana-1222	30	14	and	and	CCONJ
cana-1222	30	15	connections	connection	NOUN
cana-1222	30	16	that	that	PRON
cana-1222	30	17	may	may	AUX
cana-1222	30	18	be	be	AUX
cana-1222	30	19	disregarded	disregard	VERB
cana-1222	30	20	by	by	ADP
cana-1222	30	21	conventional	conventional	ADJ
cana-1222	30	22	methods	method	NOUN
cana-1222	30	23	.	.	PUNCT
cana-1222	31	1	decision	decision	NOUN
cana-1222	31	2	support	support	NOUN
cana-1222	31	3	systems	system	NOUN
cana-1222	31	4	,	,	PUNCT
cana-1222	31	5	utilizing	utilize	VERB
cana-1222	31	6	geoint	geoint	NOUN
cana-1222	31	7	,	,	PUNCT
cana-1222	31	8	enable	enable	VERB
cana-1222	31	9	stakeholders	stakeholder	NOUN
cana-1222	31	10	to	to	PART
cana-1222	31	11	make	make	VERB
cana-1222	31	12	well	well	ADV
cana-1222	31	13	-	-	PUNCT
cana-1222	31	14	informed	inform	VERB
cana-1222	31	15	decisions	decision	NOUN
cana-1222	31	16	by	by	ADP
cana-1222	31	17	presenting	present	VERB
cana-1222	31	18	intricate	intricate	ADJ
cana-1222	31	19	spatial	spatial	ADJ
cana-1222	31	20	data	datum	NOUN
cana-1222	31	21	in	in	ADP
cana-1222	31	22	a	a	DET
cana-1222	31	23	clear	clear	ADJ
cana-1222	31	24	and	and	CCONJ
cana-1222	31	25	understandable	understandable	ADJ
cana-1222	31	26	way	way	NOUN
cana-1222	31	27	.	.	PUNCT
cana-1222	32	1	the	the	DET
cana-1222	32	2	utilization	utilization	NOUN
cana-1222	32	3	of	of	ADP
cana-1222	32	4	spatial	spatial	ADJ
cana-1222	32	5	intelligence	intelligence	NOUN
cana-1222	32	6	is	be	AUX
cana-1222	32	7	crucial	crucial	ADJ
cana-1222	32	8	in	in	ADP
cana-1222	32	9	tackling	tackle	VERB
cana-1222	32	10	challenges	challenge	NOUN
cana-1222	32	11	such	such	ADJ
cana-1222	32	12	as	as	ADP
cana-1222	32	13	urbanization	urbanization	NOUN
cana-1222	32	14	,	,	PUNCT
cana-1222	32	15	the	the	DET
cana-1222	32	16	effects	effect	NOUN
cana-1222	32	17	of	of	ADP
cana-1222	32	18	climate	climate	NOUN
cana-1222	32	19	change	change	NOUN
cana-1222	32	20	,	,	PUNCT
cana-1222	32	21	and	and	CCONJ
cana-1222	32	22	the	the	DET
cana-1222	32	23	management	management	NOUN
cana-1222	32	24	of	of	ADP
cana-1222	32	25	natural	natural	ADJ
cana-1222	32	26	resources	resource	NOUN
cana-1222	32	27	.	.	PUNCT
cana-1222	33	1	this	this	PRON
cana-1222	33	2	contributes	contribute	VERB
cana-1222	33	3	to	to	ADP
cana-1222	33	4	the	the	DET
cana-1222	33	5	implementation	implementation	NOUN
cana-1222	33	6	of	of	ADP
cana-1222	33	7	efficient	efficient	ADJ
cana-1222	33	8	and	and	CCONJ
cana-1222	33	9	sustainable	sustainable	ADJ
cana-1222	33	10	environmental	environmental	ADJ
cana-1222	33	11	monitoring	monitoring	NOUN
cana-1222	33	12	.	.	PUNCT
cana-1222	34	1	the	the	DET
cana-1222	34	2	ai	ai	PROPN
cana-1222	34	3	's	's	PART
cana-1222	34	4	predictive	predictive	ADJ
cana-1222	34	5	modeling	modeling	NOUN
cana-1222	34	6	capabilities	capability	NOUN
cana-1222	34	7	are	be	AUX
cana-1222	34	8	another	another	DET
cana-1222	34	9	important	important	ADJ
cana-1222	34	10	aspect	aspect	NOUN
cana-1222	34	11	of	of	ADP
cana-1222	34	12	the	the	DET
cana-1222	34	13	integrated	integrate	VERB
cana-1222	34	14	strategy	strategy	NOUN
cana-1222	34	15	[	[	X
cana-1222	34	16	6	6	NUM
cana-1222	34	17	]	]	PUNCT
cana-1222	34	18	.	.	PUNCT
cana-1222	35	1	machine	machine	NOUN
cana-1222	35	2	learning	learn	VERB
cana-1222	35	3	algorithms	algorithm	NOUN
cana-1222	35	4	,	,	PUNCT
cana-1222	35	5	especially	especially	ADV
cana-1222	35	6	those	those	PRON
cana-1222	35	7	employing	employ	VERB
cana-1222	35	8	deep	deep	ADJ
cana-1222	35	9	learning	learning	NOUN
cana-1222	35	10	methodologies	methodology	NOUN
cana-1222	35	11	,	,	PUNCT
cana-1222	35	12	have	have	VERB
cana-1222	35	13	the	the	DET
cana-1222	35	14	capability	capability	NOUN
cana-1222	35	15	to	to	PART
cana-1222	35	16	examine	examine	VERB
cana-1222	35	17	past	past	ADJ
cana-1222	35	18	data	datum	NOUN
cana-1222	35	19	in	in	ADP
cana-1222	35	20	order	order	NOUN
cana-1222	35	21	to	to	PART
cana-1222	35	22	detect	detect	VERB
cana-1222	35	23	and	and	CCONJ
cana-1222	35	24	comprehend	comprehend	VERB
cana-1222	35	25	patterns	pattern	NOUN
cana-1222	35	26	and	and	CCONJ
cana-1222	35	27	correlations	correlation	NOUN
cana-1222	35	28	.	.	PUNCT
cana-1222	36	1	subsequently	subsequently	ADV
cana-1222	36	2	,	,	PUNCT
cana-1222	36	3	these	these	DET
cana-1222	36	4	algorithms	algorithm	NOUN
cana-1222	36	5	have	have	VERB
cana-1222	36	6	the	the	DET
cana-1222	36	7	capability	capability	NOUN
cana-1222	36	8	to	to	PART
cana-1222	36	9	anticipate	anticipate	VERB
cana-1222	36	10	forthcoming	forthcoming	ADJ
cana-1222	36	11	alterations	alteration	NOUN
cana-1222	36	12	in	in	ADP
cana-1222	36	13	the	the	DET
cana-1222	36	14	environment	environment	NOUN
cana-1222	36	15	,	,	PUNCT
cana-1222	36	16	providing	provide	VERB
cana-1222	36	17	valuable	valuable	ADJ
cana-1222	36	18	discernment	discernment	NOUN
cana-1222	36	19	for	for	ADP
cana-1222	36	20	proactive	proactive	ADJ
cana-1222	36	21	administration	administration	NOUN
cana-1222	36	22	.	.	PUNCT
cana-1222	37	1	within	within	ADP
cana-1222	37	2	the	the	DET
cana-1222	37	3	realm	realm	NOUN
cana-1222	37	4	of	of	ADP
cana-1222	37	5	sustainable	sustainable	ADJ
cana-1222	37	6	environmental	environmental	ADJ
cana-1222	37	7	monitoring	monitoring	NOUN
cana-1222	37	8	,	,	PUNCT
cana-1222	37	9	prediction	prediction	NOUN
cana-1222	37	10	models	model	NOUN
cana-1222	37	11	powered	power	VERB
cana-1222	37	12	by	by	ADP
cana-1222	37	13	artificial	artificial	ADJ
cana-1222	37	14	intelligence	intelligence	NOUN
cana-1222	37	15	can	can	AUX
cana-1222	37	16	anticipate	anticipate	VERB
cana-1222	37	17	patterns	pattern	NOUN
cana-1222	37	18	pertaining	pertain	VERB
cana-1222	37	19	to	to	ADP
cana-1222	37	20	deforestation	deforestation	NOUN
cana-1222	37	21	,	,	PUNCT
cana-1222	37	22	biodiversity	biodiversity	NOUN
cana-1222	37	23	depletion	depletion	NOUN
cana-1222	37	24	,	,	PUNCT
cana-1222	37	25	and	and	CCONJ
cana-1222	37	26	alterations	alteration	NOUN
cana-1222	37	27	in	in	ADP
cana-1222	37	28	water	water	NOUN
cana-1222	37	29	quality	quality	NOUN
cana-1222	37	30	.	.	PUNCT
cana-1222	38	1	the	the	DET
cana-1222	38	2	ability	ability	NOUN
cana-1222	38	3	to	to	PART
cana-1222	38	4	anticipate	anticipate	VERB
cana-1222	38	5	future	future	ADJ
cana-1222	38	6	events	event	NOUN
cana-1222	38	7	enables	enable	VERB
cana-1222	38	8	the	the	DET
cana-1222	38	9	development	development	NOUN
cana-1222	38	10	of	of	ADP
cana-1222	38	11	proactive	proactive	ADJ
cana-1222	38	12	measures	measure	NOUN
cana-1222	38	13	and	and	CCONJ
cana-1222	38	14	flexible	flexible	ADJ
cana-1222	38	15	strategies	strategy	NOUN
cana-1222	38	16	,	,	PUNCT
cana-1222	38	17	which	which	PRON
cana-1222	38	18	are	be	AUX
cana-1222	38	19	crucial	crucial	ADJ
cana-1222	38	20	for	for	ADP
cana-1222	38	21	reducing	reduce	VERB
cana-1222	38	22	the	the	DET
cana-1222	38	23	effects	effect	NOUN
cana-1222	38	24	of	of	ADP
cana-1222	38	25	environmental	environmental	ADJ
cana-1222	38	26	changes	change	NOUN
cana-1222	38	27	and	and	CCONJ
cana-1222	38	28	promoting	promote	VERB
cana-1222	38	29	longterm	longterm	ADJ
cana-1222	38	30	sustainability	sustainability	NOUN
cana-1222	38	31	[	[	X
cana-1222	38	32	7	7	NUM
cana-1222	38	33	]	]	PUNCT
cana-1222	38	34	.	.	PUNCT
cana-1222	39	1	communications	communication	NOUN
cana-1222	39	2	on	on	ADP
cana-1222	39	3	applied	apply	VERB
cana-1222	39	4	nonlinear	nonlinear	ADJ
cana-1222	39	5	analysis	analysis	NOUN
cana-1222	39	6	issn	issn	NOUN
cana-1222	39	7	:	:	PUNCT
cana-1222	39	8	1074	1074	NUM
cana-1222	39	9	-	-	PUNCT
cana-1222	39	10	133x	133x	NUM
cana-1222	39	11	vol	vol	NOUN
cana-1222	39	12	31	31	NUM
cana-1222	39	13	no	no	NOUN
cana-1222	39	14	.	.	PUNCT
cana-1222	40	1	6s	6s	NUM
cana-1222	40	2	(	(	PUNCT
cana-1222	40	3	2024	2024	NUM
cana-1222	40	4	)	)	PUNCT
cana-1222	40	5	283	283	NUM
cana-1222	40	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1222	41	1	the	the	DET
cana-1222	41	2	hybrid	hybrid	ADJ
cana-1222	41	3	feature	feature	NOUN
cana-1222	41	4	enhancement	enhancement	NOUN
cana-1222	41	5	network	network	NOUN
cana-1222	41	6	is	be	AUX
cana-1222	41	7	an	an	DET
cana-1222	41	8	example	example	NOUN
cana-1222	41	9	of	of	ADP
cana-1222	41	10	a	a	DET
cana-1222	41	11	recent	recent	ADJ
cana-1222	41	12	breakthrough	breakthrough	NOUN
cana-1222	41	13	that	that	PRON
cana-1222	41	14	demonstrates	demonstrate	VERB
cana-1222	41	15	the	the	DET
cana-1222	41	16	ongoing	ongoing	ADJ
cana-1222	41	17	development	development	NOUN
cana-1222	41	18	of	of	ADP
cana-1222	41	19	this	this	DET
cana-1222	41	20	integrated	integrate	VERB
cana-1222	41	21	method	method	NOUN
cana-1222	41	22	.	.	PUNCT
cana-1222	42	1	this	this	DET
cana-1222	42	2	network	network	NOUN
cana-1222	42	3	tackles	tackle	NOUN
cana-1222	42	4	issues	issue	NOUN
cana-1222	42	5	pertaining	pertain	VERB
cana-1222	42	6	to	to	PART
cana-1222	42	7	feature	feature	VERB
cana-1222	42	8	ambiguity	ambiguity	NOUN
cana-1222	42	9	and	and	CCONJ
cana-1222	42	10	the	the	DET
cana-1222	42	11	detection	detection	NOUN
cana-1222	42	12	of	of	ADP
cana-1222	42	13	minute	minute	ADJ
cana-1222	42	14	characteristics	characteristic	NOUN
cana-1222	42	15	in	in	ADP
cana-1222	42	16	the	the	DET
cana-1222	42	17	classification	classification	NOUN
cana-1222	42	18	of	of	ADP
cana-1222	42	19	remote	remote	ADJ
cana-1222	42	20	sensing	sensing	NOUN
cana-1222	42	21	images	image	NOUN
cana-1222	42	22	.	.	PUNCT
cana-1222	43	1	the	the	DET
cana-1222	43	2	dua	dua	PROPN
cana-1222	43	3	-	-	PROPN
cana-1222	43	4	net	net	NOUN
cana-1222	43	5	,	,	PUNCT
cana-1222	43	6	a	a	DET
cana-1222	43	7	combined	combine	VERB
cana-1222	43	8	convolutional	convolutional	ADJ
cana-1222	43	9	neural	neural	ADJ
cana-1222	43	10	network	network	NOUN
cana-1222	43	11	,	,	PUNCT
cana-1222	43	12	exhibits	exhibit	VERB
cana-1222	43	13	exceptional	exceptional	ADJ
cana-1222	43	14	precision	precision	NOUN
cana-1222	43	15	in	in	ADP
cana-1222	43	16	intricate	intricate	ADJ
cana-1222	43	17	urban	urban	ADJ
cana-1222	43	18	land	land	NOUN
cana-1222	43	19	-	-	PUNCT
cana-1222	43	20	use	use	NOUN
cana-1222	43	21	classification	classification	NOUN
cana-1222	43	22	,	,	PUNCT
cana-1222	43	23	hence	hence	ADV
cana-1222	43	24	illustrating	illustrate	VERB
cana-1222	43	25	the	the	DET
cana-1222	43	26	tangible	tangible	ADJ
cana-1222	43	27	influence	influence	NOUN
cana-1222	43	28	of	of	ADP
cana-1222	43	29	ai	ai	VERB
cana-1222	43	30	in	in	ADP
cana-1222	43	31	environmental	environmental	ADJ
cana-1222	43	32	surveillance	surveillance	NOUN
cana-1222	43	33	.	.	PUNCT
cana-1222	44	1	frameworks	framework	NOUN
cana-1222	44	2	such	such	ADJ
cana-1222	44	3	as	as	ADP
cana-1222	44	4	atrous	atrous	ADJ
cana-1222	44	5	spatial	spatial	ADJ
cana-1222	44	6	pyramid	pyramid	NOUN
cana-1222	44	7	pooling	pool	VERB
cana-1222	44	8	(	(	PUNCT
cana-1222	44	9	aspp	aspp	NOUN
cana-1222	44	10	)	)	PUNCT
cana-1222	44	11	in	in	ADP
cana-1222	44	12	raanet	raanet	NOUN
cana-1222	44	13	(	(	PUNCT
cana-1222	44	14	residual	residual	ADJ
cana-1222	44	15	aspp	aspp	NOUN
cana-1222	44	16	with	with	ADP
cana-1222	44	17	attention	attention	NOUN
cana-1222	44	18	net	net	NOUN
cana-1222	44	19	)	)	PUNCT
cana-1222	44	20	help	help	NOUN
cana-1222	44	21	improve	improve	VERB
cana-1222	44	22	the	the	DET
cana-1222	44	23	accuracy	accuracy	NOUN
cana-1222	44	24	of	of	ADP
cana-1222	44	25	semantic	semantic	ADJ
cana-1222	44	26	segmentation	segmentation	NOUN
cana-1222	44	27	.	.	PUNCT
cana-1222	45	1	nevertheless	nevertheless	ADV
cana-1222	45	2	,	,	PUNCT
cana-1222	45	3	the	the	DET
cana-1222	45	4	incorporation	incorporation	NOUN
cana-1222	45	5	of	of	ADP
cana-1222	45	6	remote	remote	ADJ
cana-1222	45	7	sensing	sensing	NOUN
cana-1222	45	8	,	,	PUNCT
cana-1222	45	9	geospatial	geospatial	ADJ
cana-1222	45	10	intelligence	intelligence	NOUN
cana-1222	45	11	(	(	PUNCT
cana-1222	45	12	geoint	geoint	NOUN
cana-1222	45	13	)	)	PUNCT
cana-1222	45	14	,	,	PUNCT
cana-1222	45	15	and	and	CCONJ
cana-1222	45	16	artificial	artificial	ADJ
cana-1222	45	17	intelligence	intelligence	NOUN
cana-1222	45	18	(	(	PUNCT
cana-1222	45	19	ai	ai	NOUN
cana-1222	45	20	)	)	PUNCT
cana-1222	45	21	encounters	encounter	VERB
cana-1222	45	22	certain	certain	ADJ
cana-1222	45	23	difficulties	difficulty	NOUN
cana-1222	45	24	.	.	PUNCT
cana-1222	46	1	data	datum	NOUN
cana-1222	46	2	integration	integration	NOUN
cana-1222	46	3	presents	present	VERB
cana-1222	46	4	a	a	DET
cana-1222	46	5	substantial	substantial	ADJ
cana-1222	46	6	challenge	challenge	NOUN
cana-1222	46	7	due	due	ADP
cana-1222	46	8	to	to	ADP
cana-1222	46	9	the	the	DET
cana-1222	46	10	wide	wide	ADJ
cana-1222	46	11	range	range	NOUN
cana-1222	46	12	of	of	ADP
cana-1222	46	13	sources	source	NOUN
cana-1222	46	14	,	,	PUNCT
cana-1222	46	15	formats	format	NOUN
cana-1222	46	16	,	,	PUNCT
cana-1222	46	17	and	and	CCONJ
cana-1222	46	18	resolutions	resolution	NOUN
cana-1222	46	19	.	.	PUNCT
cana-1222	47	1	to	to	PART
cana-1222	47	2	achieve	achieve	VERB
cana-1222	47	3	a	a	DET
cana-1222	47	4	harmonious	harmonious	ADJ
cana-1222	47	5	integration	integration	NOUN
cana-1222	47	6	of	of	ADP
cana-1222	47	7	this	this	DET
cana-1222	47	8	diverse	diverse	ADJ
cana-1222	47	9	data	datum	NOUN
cana-1222	47	10	,	,	PUNCT
cana-1222	47	11	it	it	PRON
cana-1222	47	12	is	be	AUX
cana-1222	47	13	necessary	necessary	ADJ
cana-1222	47	14	to	to	PART
cana-1222	47	15	implement	implement	VERB
cana-1222	47	16	standardized	standardized	ADJ
cana-1222	47	17	protocols	protocol	NOUN
cana-1222	47	18	and	and	CCONJ
cana-1222	47	19	interoperability	interoperability	NOUN
cana-1222	47	20	methods	method	NOUN
cana-1222	47	21	.	.	PUNCT
cana-1222	48	1	these	these	DET
cana-1222	48	2	measures	measure	NOUN
cana-1222	48	3	will	will	AUX
cana-1222	48	4	ensure	ensure	VERB
cana-1222	48	5	smooth	smooth	ADJ
cana-1222	48	6	collaboration	collaboration	NOUN
cana-1222	48	7	and	and	CCONJ
cana-1222	48	8	effective	effective	ADJ
cana-1222	48	9	communication	communication	NOUN
cana-1222	48	10	among	among	ADP
cana-1222	48	11	all	all	DET
cana-1222	48	12	parties	party	NOUN
cana-1222	48	13	involved	involve	VERB
cana-1222	48	14	.	.	PUNCT
cana-1222	49	1	ensuring	ensure	VERB
cana-1222	49	2	the	the	DET
cana-1222	49	3	adaptation	adaptation	NOUN
cana-1222	49	4	of	of	ADP
cana-1222	49	5	ai	ai	PRON
cana-1222	49	6	algorithms	algorithm	NOUN
cana-1222	49	7	to	to	ADP
cana-1222	49	8	various	various	ADJ
cana-1222	49	9	environmental	environmental	ADJ
cana-1222	49	10	situations	situation	NOUN
cana-1222	49	11	is	be	AUX
cana-1222	49	12	a	a	DET
cana-1222	49	13	significant	significant	ADJ
cana-1222	49	14	challenge	challenge	NOUN
cana-1222	49	15	in	in	ADP
cana-1222	49	16	terms	term	NOUN
cana-1222	49	17	of	of	ADP
cana-1222	49	18	their	their	PRON
cana-1222	49	19	resilience	resilience	NOUN
cana-1222	49	20	.	.	PUNCT
cana-1222	50	1	the	the	DET
cana-1222	50	2	dependability	dependability	NOUN
cana-1222	50	3	and	and	CCONJ
cana-1222	50	4	precision	precision	NOUN
cana-1222	50	5	of	of	ADP
cana-1222	50	6	ai	ai	PROPN
cana-1222	50	7	models	model	NOUN
cana-1222	50	8	are	be	AUX
cana-1222	50	9	contingent	contingent	ADJ
cana-1222	50	10	upon	upon	SCONJ
cana-1222	50	11	thorough	thorough	ADJ
cana-1222	50	12	training	training	NOUN
cana-1222	50	13	using	use	VERB
cana-1222	50	14	varied	varied	ADJ
cana-1222	50	15	datasets	dataset	NOUN
cana-1222	50	16	,	,	PUNCT
cana-1222	50	17	and	and	CCONJ
cana-1222	50	18	continuous	continuous	ADJ
cana-1222	50	19	improvement	improvement	NOUN
cana-1222	50	20	is	be	AUX
cana-1222	50	21	imperative	imperative	ADJ
cana-1222	50	22	to	to	PART
cana-1222	50	23	tackle	tackle	VERB
cana-1222	50	24	changing	change	VERB
cana-1222	50	25	environmental	environmental	ADJ
cana-1222	50	26	dynamics	dynamic	NOUN
cana-1222	50	27	.	.	PUNCT
cana-1222	51	1	the	the	DET
cana-1222	51	2	integrated	integrate	VERB
cana-1222	51	3	method	method	NOUN
cana-1222	51	4	is	be	AUX
cana-1222	51	5	significantly	significantly	ADV
cana-1222	51	6	influenced	influence	VERB
cana-1222	51	7	by	by	ADP
cana-1222	51	8	ethical	ethical	ADJ
cana-1222	51	9	considerations	consideration	NOUN
cana-1222	51	10	.	.	PUNCT
cana-1222	52	1	the	the	DET
cana-1222	52	2	implementation	implementation	NOUN
cana-1222	52	3	of	of	ADP
cana-1222	52	4	ai	ai	VERB
cana-1222	52	5	in	in	ADP
cana-1222	52	6	environmental	environmental	ADJ
cana-1222	52	7	monitoring	monitoring	NOUN
cana-1222	52	8	gives	give	VERB
cana-1222	52	9	rise	rise	NOUN
cana-1222	52	10	to	to	ADP
cana-1222	52	11	privacy	privacy	NOUN
cana-1222	52	12	problems	problem	NOUN
cana-1222	52	13	pertaining	pertain	VERB
cana-1222	52	14	to	to	ADP
cana-1222	52	15	the	the	DET
cana-1222	52	16	collecting	collecting	NOUN
cana-1222	52	17	and	and	CCONJ
cana-1222	52	18	utilization	utilization	NOUN
cana-1222	52	19	of	of	ADP
cana-1222	52	20	data	datum	NOUN
cana-1222	52	21	.	.	PUNCT
cana-1222	53	1	it	it	PRON
cana-1222	53	2	is	be	AUX
cana-1222	53	3	crucial	crucial	ADJ
cana-1222	53	4	to	to	PART
cana-1222	53	5	find	find	VERB
cana-1222	53	6	a	a	DET
cana-1222	53	7	middle	middle	ADJ
cana-1222	53	8	ground	ground	NOUN
cana-1222	53	9	between	between	ADP
cana-1222	53	10	using	use	VERB
cana-1222	53	11	the	the	DET
cana-1222	53	12	capabilities	capability	NOUN
cana-1222	53	13	of	of	ADP
cana-1222	53	14	artificial	artificial	ADJ
cana-1222	53	15	intelligence	intelligence	NOUN
cana-1222	53	16	to	to	PART
cana-1222	53	17	gain	gain	VERB
cana-1222	53	18	valuable	valuable	ADJ
cana-1222	53	19	insights	insight	NOUN
cana-1222	53	20	and	and	CCONJ
cana-1222	53	21	upholding	uphold	VERB
cana-1222	53	22	the	the	DET
cana-1222	53	23	rights	right	NOUN
cana-1222	53	24	to	to	ADP
cana-1222	53	25	privacy	privacy	NOUN
cana-1222	53	26	of	of	ADP
cana-1222	53	27	individuals	individual	NOUN
cana-1222	53	28	and	and	CCONJ
cana-1222	53	29	communities	community	NOUN
cana-1222	53	30	.	.	PUNCT
cana-1222	54	1	establishing	establish	VERB
cana-1222	54	2	responsible	responsible	ADJ
cana-1222	54	3	data	datum	NOUN
cana-1222	54	4	governance	governance	NOUN
cana-1222	54	5	and	and	CCONJ
cana-1222	54	6	adopting	adopt	VERB
cana-1222	54	7	transparent	transparent	ADJ
cana-1222	54	8	methods	method	NOUN
cana-1222	54	9	are	be	AUX
cana-1222	54	10	essential	essential	ADJ
cana-1222	54	11	in	in	ADP
cana-1222	54	12	order	order	NOUN
cana-1222	54	13	to	to	PART
cana-1222	54	14	foster	foster	VERB
cana-1222	54	15	confidence	confidence	NOUN
cana-1222	54	16	among	among	ADP
cana-1222	54	17	stakeholders	stakeholder	NOUN
cana-1222	54	18	and	and	CCONJ
cana-1222	54	19	guarantee	guarantee	VERB
cana-1222	54	20	the	the	DET
cana-1222	54	21	ethical	ethical	ADJ
cana-1222	54	22	utilization	utilization	NOUN
cana-1222	54	23	of	of	ADP
cana-1222	54	24	technology	technology	NOUN
cana-1222	54	25	for	for	ADP
cana-1222	54	26	sustainable	sustainable	ADJ
cana-1222	54	27	environmental	environmental	ADJ
cana-1222	54	28	monitoring	monitoring	NOUN
cana-1222	54	29	.	.	PUNCT
cana-1222	55	1	the	the	DET
cana-1222	55	2	potential	potential	ADJ
cana-1222	55	3	uses	use	NOUN
cana-1222	55	4	of	of	ADP
cana-1222	55	5	this	this	DET
cana-1222	55	6	integrated	integrate	VERB
cana-1222	55	7	strategy	strategy	NOUN
cana-1222	55	8	are	be	AUX
cana-1222	55	9	many	many	ADJ
cana-1222	55	10	and	and	CCONJ
cana-1222	55	11	significant	significant	ADJ
cana-1222	55	12	.	.	PUNCT
cana-1222	56	1	the	the	DET
cana-1222	56	2	integration	integration	NOUN
cana-1222	56	3	of	of	ADP
cana-1222	56	4	remote	remote	ADJ
cana-1222	56	5	sensing	sensing	NOUN
cana-1222	56	6	and	and	CCONJ
cana-1222	56	7	artificial	artificial	ADJ
cana-1222	56	8	intelligence	intelligence	NOUN
cana-1222	56	9	in	in	ADP
cana-1222	56	10	forest	forest	NOUN
cana-1222	56	11	monitoring	monitoring	NOUN
cana-1222	56	12	enables	enable	VERB
cana-1222	56	13	the	the	DET
cana-1222	56	14	identification	identification	NOUN
cana-1222	56	15	of	of	ADP
cana-1222	56	16	deforestation	deforestation	NOUN
cana-1222	56	17	,	,	PUNCT
cana-1222	56	18	enabling	enable	VERB
cana-1222	56	19	prompt	prompt	ADJ
cana-1222	56	20	intervention	intervention	NOUN
cana-1222	56	21	and	and	CCONJ
cana-1222	56	22	conservation	conservation	NOUN
cana-1222	56	23	initiatives	initiative	NOUN
cana-1222	56	24	.	.	PUNCT
cana-1222	57	1	the	the	DET
cana-1222	57	2	integration	integration	NOUN
cana-1222	57	3	of	of	ADP
cana-1222	57	4	remote	remote	ADJ
cana-1222	57	5	sensing	sensing	NOUN
cana-1222	57	6	technologies	technology	NOUN
cana-1222	57	7	with	with	ADP
cana-1222	57	8	ai	ai	VERB
cana-1222	57	9	enables	enable	VERB
cana-1222	57	10	water	water	NOUN
cana-1222	57	11	resource	resource	NOUN
cana-1222	57	12	management	management	NOUN
cana-1222	57	13	to	to	PART
cana-1222	57	14	effectively	effectively	ADV
cana-1222	57	15	monitor	monitor	VERB
cana-1222	57	16	water	water	NOUN
cana-1222	57	17	bodies	body	NOUN
cana-1222	57	18	,	,	PUNCT
cana-1222	57	19	evaluate	evaluate	VERB
cana-1222	57	20	water	water	NOUN
cana-1222	57	21	quality	quality	NOUN
cana-1222	57	22	,	,	PUNCT
cana-1222	57	23	and	and	CCONJ
cana-1222	57	24	identify	identify	VERB
cana-1222	57	25	pollution	pollution	NOUN
cana-1222	57	26	.	.	PUNCT
cana-1222	58	1	geoint	geoint	VERB
cana-1222	58	2	and	and	CCONJ
cana-1222	58	3	ai	ai	AUX
cana-1222	58	4	play	play	VERB
cana-1222	58	5	a	a	DET
cana-1222	58	6	crucial	crucial	ADJ
cana-1222	58	7	role	role	NOUN
cana-1222	58	8	in	in	ADP
cana-1222	58	9	urban	urban	ADJ
cana-1222	58	10	planning	planning	NOUN
cana-1222	58	11	by	by	ADP
cana-1222	58	12	examining	examine	VERB
cana-1222	58	13	urban	urban	ADJ
cana-1222	58	14	growth	growth	NOUN
cana-1222	58	15	trends	trend	NOUN
cana-1222	58	16	,	,	PUNCT
cana-1222	58	17	overseeing	oversee	VERB
cana-1222	58	18	infrastructure	infrastructure	NOUN
cana-1222	58	19	development	development	NOUN
cana-1222	58	20	,	,	PUNCT
cana-1222	58	21	and	and	CCONJ
cana-1222	58	22	addressing	address	VERB
cana-1222	58	23	the	the	DET
cana-1222	58	24	consequences	consequence	NOUN
cana-1222	58	25	of	of	ADP
cana-1222	58	26	climate	climate	NOUN
cana-1222	58	27	change	change	NOUN
cana-1222	58	28	on	on	ADP
cana-1222	58	29	cities	city	NOUN
cana-1222	58	30	,	,	PUNCT
cana-1222	58	31	hence	hence	ADV
cana-1222	58	32	facilitating	facilitate	VERB
cana-1222	58	33	informed	informed	ADJ
cana-1222	58	34	decision	decision	NOUN
cana-1222	58	35	-	-	PUNCT
cana-1222	58	36	making	making	NOUN
cana-1222	58	37	[	[	X
cana-1222	58	38	8	8	NUM
cana-1222	58	39	]	]	PUNCT
cana-1222	58	40	.	.	PUNCT
cana-1222	59	1	these	these	DET
cana-1222	59	2	applications	application	NOUN
cana-1222	59	3	highlight	highlight	VERB
cana-1222	59	4	the	the	DET
cana-1222	59	5	adaptability	adaptability	NOUN
cana-1222	59	6	and	and	CCONJ
cana-1222	59	7	importance	importance	NOUN
cana-1222	59	8	of	of	ADP
cana-1222	59	9	the	the	DET
cana-1222	59	10	integrated	integrated	ADJ
cana-1222	59	11	approach	approach	NOUN
cana-1222	59	12	in	in	ADP
cana-1222	59	13	several	several	ADJ
cana-1222	59	14	environmental	environmental	ADJ
cana-1222	59	15	fields	field	NOUN
cana-1222	59	16	.	.	PUNCT
cana-1222	60	1	as	as	SCONJ
cana-1222	60	2	these	these	DET
cana-1222	60	3	technologies	technology	NOUN
cana-1222	60	4	continue	continue	VERB
cana-1222	60	5	to	to	PART
cana-1222	60	6	advance	advance	VERB
cana-1222	60	7	,	,	PUNCT
cana-1222	60	8	collaborative	collaborative	ADJ
cana-1222	60	9	efforts	effort	NOUN
cana-1222	60	10	among	among	ADP
cana-1222	60	11	researchers	researcher	NOUN
cana-1222	60	12	,	,	PUNCT
cana-1222	60	13	policymakers	policymaker	NOUN
cana-1222	60	14	,	,	PUNCT
cana-1222	60	15	and	and	CCONJ
cana-1222	60	16	industry	industry	NOUN
cana-1222	60	17	stakeholders	stakeholder	NOUN
cana-1222	60	18	become	become	VERB
cana-1222	60	19	increasingly	increasingly	ADV
cana-1222	60	20	crucial	crucial	ADJ
cana-1222	60	21	.	.	PUNCT
cana-1222	61	1	interdisciplinary	interdisciplinary	ADJ
cana-1222	61	2	collaboration	collaboration	NOUN
cana-1222	61	3	can	can	AUX
cana-1222	61	4	address	address	VERB
cana-1222	61	5	challenges	challenge	NOUN
cana-1222	61	6	,	,	PUNCT
cana-1222	61	7	foster	foster	ADJ
cana-1222	61	8	innovation	innovation	NOUN
cana-1222	61	9	,	,	PUNCT
cana-1222	61	10	and	and	CCONJ
cana-1222	61	11	maximize	maximize	VERB
cana-1222	61	12	the	the	DET
cana-1222	61	13	benefits	benefit	NOUN
cana-1222	61	14	of	of	ADP
cana-1222	61	15	this	this	DET
cana-1222	61	16	integrated	integrate	VERB
cana-1222	61	17	approach	approach	NOUN
cana-1222	61	18	.	.	PUNCT
cana-1222	62	1	governments	government	NOUN
cana-1222	62	2	and	and	CCONJ
cana-1222	62	3	international	international	ADJ
cana-1222	62	4	organizations	organization	NOUN
cana-1222	62	5	play	play	VERB
cana-1222	62	6	a	a	DET
cana-1222	62	7	pivotal	pivotal	ADJ
cana-1222	62	8	role	role	NOUN
cana-1222	62	9	in	in	ADP
cana-1222	62	10	creating	create	VERB
cana-1222	62	11	frameworks	framework	NOUN
cana-1222	62	12	and	and	CCONJ
cana-1222	62	13	standards	standard	NOUN
cana-1222	62	14	that	that	PRON
cana-1222	62	15	promote	promote	VERB
cana-1222	62	16	the	the	DET
cana-1222	62	17	responsible	responsible	ADJ
cana-1222	62	18	use	use	NOUN
cana-1222	62	19	of	of	ADP
cana-1222	62	20	technology	technology	NOUN
cana-1222	62	21	for	for	ADP
cana-1222	62	22	sustainable	sustainable	ADJ
cana-1222	62	23	environmental	environmental	ADJ
cana-1222	62	24	monitoring	monitoring	NOUN
cana-1222	62	25	.	.	PUNCT
cana-1222	63	1	investing	invest	VERB
cana-1222	63	2	in	in	ADP
cana-1222	63	3	research	research	NOUN
cana-1222	63	4	and	and	CCONJ
cana-1222	63	5	development	development	NOUN
cana-1222	63	6	,	,	PUNCT
cana-1222	63	7	promoting	promote	VERB
cana-1222	63	8	data	datum	NOUN
cana-1222	63	9	sharing	sharing	NOUN
cana-1222	63	10	initiatives	initiative	NOUN
cana-1222	63	11	,	,	PUNCT
cana-1222	63	12	and	and	CCONJ
cana-1222	63	13	ensuring	ensure	VERB
cana-1222	63	14	inclusive	inclusive	ADJ
cana-1222	63	15	participation	participation	NOUN
cana-1222	63	16	are	be	AUX
cana-1222	63	17	essential	essential	ADJ
cana-1222	63	18	components	component	NOUN
cana-1222	63	19	of	of	ADP
cana-1222	63	20	a	a	DET
cana-1222	63	21	collaborative	collaborative	ADJ
cana-1222	63	22	approach	approach	NOUN
cana-1222	63	23	that	that	PRON
cana-1222	63	24	leverages	leverage	VERB
cana-1222	63	25	the	the	DET
cana-1222	63	26	full	full	ADJ
cana-1222	63	27	potential	potential	NOUN
cana-1222	63	28	of	of	ADP
cana-1222	63	29	remote	remote	ADJ
cana-1222	63	30	sensing	sensing	NOUN
cana-1222	63	31	,	,	PUNCT
cana-1222	63	32	geoint	geoint	NOUN
cana-1222	63	33	,	,	PUNCT
cana-1222	63	34	and	and	CCONJ
cana-1222	63	35	ai	ai	VERB
cana-1222	63	36	.	.	PUNCT
cana-1222	64	1	ultimately	ultimately	ADV
cana-1222	64	2	,	,	PUNCT
cana-1222	64	3	the	the	DET
cana-1222	64	4	combination	combination	NOUN
cana-1222	64	5	of	of	ADP
cana-1222	64	6	remote	remote	ADJ
cana-1222	64	7	sensing	sensing	NOUN
cana-1222	64	8	,	,	PUNCT
cana-1222	64	9	geoint	geoint	NOUN
cana-1222	64	10	(	(	PUNCT
cana-1222	64	11	geospatial	geospatial	ADJ
cana-1222	64	12	intelligence	intelligence	NOUN
cana-1222	64	13	)	)	PUNCT
cana-1222	64	14	,	,	PUNCT
cana-1222	64	15	and	and	CCONJ
cana-1222	64	16	ai	ai	VERB
cana-1222	64	17	communications	communication	NOUN
cana-1222	64	18	on	on	ADP
cana-1222	64	19	applied	apply	VERB
cana-1222	64	20	nonlinear	nonlinear	ADJ
cana-1222	64	21	analysis	analysis	NOUN
cana-1222	64	22	issn	issn	NOUN
cana-1222	64	23	:	:	PUNCT
cana-1222	64	24	1074	1074	NUM
cana-1222	64	25	-	-	PUNCT
cana-1222	64	26	133x	133x	NUM
cana-1222	64	27	vol	vol	NOUN
cana-1222	64	28	31	31	NUM
cana-1222	64	29	no	no	NOUN
cana-1222	64	30	.	.	PUNCT
cana-1222	65	1	6s	6s	NUM
cana-1222	65	2	(	(	PUNCT
cana-1222	65	3	2024	2024	NUM
cana-1222	65	4	)	)	PUNCT
cana-1222	65	5	284	284	NUM
cana-1222	66	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1222	66	2	(	(	PUNCT
cana-1222	66	3	artificial	artificial	ADJ
cana-1222	66	4	intelligence	intelligence	NOUN
cana-1222	66	5	)	)	PUNCT
cana-1222	66	6	is	be	AUX
cana-1222	66	7	a	a	DET
cana-1222	66	8	powerful	powerful	ADJ
cana-1222	66	9	and	and	CCONJ
cana-1222	66	10	game	game	NOUN
cana-1222	66	11	-	-	PUNCT
cana-1222	66	12	changing	change	VERB
cana-1222	66	13	factor	factor	NOUN
cana-1222	66	14	in	in	ADP
cana-1222	66	15	the	the	DET
cana-1222	66	16	field	field	NOUN
cana-1222	66	17	of	of	ADP
cana-1222	66	18	sustainable	sustainable	ADJ
cana-1222	66	19	environmental	environmental	ADJ
cana-1222	66	20	monitoring	monitoring	NOUN
cana-1222	66	21	[	[	X
cana-1222	66	22	9	9	NUM
cana-1222	66	23	]	]	SYM
cana-1222	66	24	.	.	PUNCT
cana-1222	67	1	2	2	X
cana-1222	67	2	.	.	X
cana-1222	67	3	related	relate	VERB
cana-1222	67	4	works	work	VERB
cana-1222	67	5	the	the	DET
cana-1222	67	6	utilization	utilization	NOUN
cana-1222	67	7	of	of	ADP
cana-1222	67	8	deep	deep	ADJ
cana-1222	67	9	learning	learning	NOUN
cana-1222	67	10	has	have	AUX
cana-1222	67	11	become	become	VERB
cana-1222	67	12	a	a	DET
cana-1222	67	13	significant	significant	ADJ
cana-1222	67	14	and	and	CCONJ
cana-1222	67	15	influential	influential	ADJ
cana-1222	67	16	factor	factor	NOUN
cana-1222	67	17	in	in	ADP
cana-1222	67	18	various	various	ADJ
cana-1222	67	19	scientific	scientific	ADJ
cana-1222	67	20	fields	field	NOUN
cana-1222	67	21	,	,	PUNCT
cana-1222	67	22	producing	produce	VERB
cana-1222	67	23	exceptional	exceptional	ADJ
cana-1222	67	24	outcomes	outcome	NOUN
cana-1222	67	25	in	in	ADP
cana-1222	67	26	recent	recent	ADJ
cana-1222	67	27	times	time	NOUN
cana-1222	67	28	.	.	PUNCT
cana-1222	68	1	deep	deep	ADJ
cana-1222	68	2	learning	learning	NOUN
cana-1222	68	3	is	be	AUX
cana-1222	68	4	notable	notable	ADJ
cana-1222	68	5	in	in	ADP
cana-1222	68	6	the	the	DET
cana-1222	68	7	field	field	NOUN
cana-1222	68	8	of	of	ADP
cana-1222	68	9	remote	remote	ADJ
cana-1222	68	10	sensing	sense	VERB
cana-1222	68	11	image	image	NOUN
cana-1222	68	12	categorization	categorization	NOUN
cana-1222	68	13	because	because	SCONJ
cana-1222	68	14	it	it	PRON
cana-1222	68	15	takes	take	VERB
cana-1222	68	16	into	into	ADP
cana-1222	68	17	account	account	NOUN
cana-1222	68	18	both	both	CCONJ
cana-1222	68	19	the	the	DET
cana-1222	68	20	spatial	spatial	ADJ
cana-1222	68	21	and	and	CCONJ
cana-1222	68	22	spectral	spectral	ADJ
cana-1222	68	23	features	feature	NOUN
cana-1222	68	24	of	of	ADP
cana-1222	68	25	target	target	NOUN
cana-1222	68	26	objects	object	NOUN
cana-1222	68	27	in	in	ADP
cana-1222	68	28	a	a	DET
cana-1222	68	29	comprehensive	comprehensive	ADJ
cana-1222	68	30	manner	manner	NOUN
cana-1222	68	31	.	.	PUNCT
cana-1222	69	1	this	this	DET
cana-1222	69	2	methodology	methodology	NOUN
cana-1222	69	3	is	be	AUX
cana-1222	69	4	commonly	commonly	ADV
cana-1222	69	5	used	use	VERB
cana-1222	69	6	for	for	ADP
cana-1222	69	7	classifying	classify	VERB
cana-1222	69	8	and	and	CCONJ
cana-1222	69	9	extracting	extract	VERB
cana-1222	69	10	target	target	NOUN
cana-1222	69	11	objects	object	NOUN
cana-1222	69	12	from	from	ADP
cana-1222	69	13	remote	remote	ADJ
cana-1222	69	14	sensing	sensing	ADJ
cana-1222	69	15	images	image	NOUN
cana-1222	69	16	that	that	PRON
cana-1222	69	17	have	have	VERB
cana-1222	69	18	both	both	CCONJ
cana-1222	69	19	high	high	ADJ
cana-1222	69	20	spectral	spectral	ADJ
cana-1222	69	21	and	and	CCONJ
cana-1222	69	22	spatial	spatial	ADJ
cana-1222	69	23	resolutions	resolution	NOUN
cana-1222	69	24	.	.	PUNCT
cana-1222	70	1	deep	deep	ADJ
cana-1222	70	2	learning	learning	NOUN
cana-1222	70	3	models	model	NOUN
cana-1222	70	4	,	,	PUNCT
cana-1222	70	5	such	such	ADJ
cana-1222	70	6	as	as	ADP
cana-1222	70	7	convolutional	convolutional	ADJ
cana-1222	70	8	neural	neural	ADJ
cana-1222	70	9	networks	network	NOUN
cana-1222	70	10	(	(	PUNCT
cana-1222	70	11	cnns	cnns	PROPN
cana-1222	70	12	)	)	PUNCT
cana-1222	70	13	,	,	PUNCT
cana-1222	70	14	deep	deep	ADJ
cana-1222	70	15	belief	belief	NOUN
cana-1222	70	16	networks	network	NOUN
cana-1222	70	17	,	,	PUNCT
cana-1222	70	18	and	and	CCONJ
cana-1222	70	19	stacked	stack	VERB
cana-1222	70	20	autoencoder	autoencoder	NOUN
cana-1222	70	21	networks	network	NOUN
cana-1222	70	22	,	,	PUNCT
cana-1222	70	23	bring	bring	VERB
cana-1222	70	24	about	about	ADP
cana-1222	70	25	a	a	DET
cana-1222	70	26	significant	significant	ADJ
cana-1222	70	27	change	change	NOUN
cana-1222	70	28	in	in	ADP
cana-1222	70	29	the	the	DET
cana-1222	70	30	way	way	NOUN
cana-1222	70	31	features	feature	NOUN
cana-1222	70	32	are	be	AUX
cana-1222	70	33	learned	learn	VERB
cana-1222	70	34	.	.	PUNCT
cana-1222	71	1	these	these	DET
cana-1222	71	2	models	model	NOUN
cana-1222	71	3	have	have	VERB
cana-1222	71	4	the	the	DET
cana-1222	71	5	ability	ability	NOUN
cana-1222	71	6	to	to	PART
cana-1222	71	7	autonomously	autonomously	ADV
cana-1222	71	8	learn	learn	VERB
cana-1222	71	9	features	feature	NOUN
cana-1222	71	10	from	from	ADP
cana-1222	71	11	data	datum	NOUN
cana-1222	71	12	,	,	PUNCT
cana-1222	71	13	hence	hence	ADV
cana-1222	71	14	reducing	reduce	VERB
cana-1222	71	15	the	the	DET
cana-1222	71	16	requirement	requirement	NOUN
cana-1222	71	17	for	for	SCONJ
cana-1222	71	18	researchers	researcher	NOUN
cana-1222	71	19	to	to	PART
cana-1222	71	20	manually	manually	ADV
cana-1222	71	21	create	create	VERB
cana-1222	71	22	features	feature	NOUN
cana-1222	71	23	in	in	ADP
cana-1222	71	24	advance	advance	NOUN
cana-1222	71	25	.	.	PUNCT
cana-1222	72	1	the	the	DET
cana-1222	72	2	implementation	implementation	NOUN
cana-1222	72	3	of	of	ADP
cana-1222	72	4	these	these	DET
cana-1222	72	5	models	model	NOUN
cana-1222	72	6	has	have	AUX
cana-1222	72	7	been	be	AUX
cana-1222	72	8	a	a	DET
cana-1222	72	9	gradual	gradual	ADJ
cana-1222	72	10	yet	yet	CCONJ
cana-1222	72	11	substantial	substantial	ADJ
cana-1222	72	12	process	process	NOUN
cana-1222	72	13	,	,	PUNCT
cana-1222	72	14	particularly	particularly	ADV
cana-1222	72	15	in	in	ADP
cana-1222	72	16	the	the	DET
cana-1222	72	17	categorization	categorization	NOUN
cana-1222	72	18	of	of	ADP
cana-1222	72	19	hyperspectral	hyperspectral	ADJ
cana-1222	72	20	remote	remote	ADJ
cana-1222	72	21	sensing	sensing	NOUN
cana-1222	72	22	images	image	NOUN
cana-1222	72	23	[	[	X
cana-1222	72	24	10–13	10–13	NUM
cana-1222	72	25	]	]	X
cana-1222	72	26	.	.	PUNCT
cana-1222	73	1	a	a	DET
cana-1222	73	2	new	new	ADJ
cana-1222	73	3	development	development	NOUN
cana-1222	73	4	in	in	ADP
cana-1222	73	5	remote	remote	ADJ
cana-1222	73	6	sensing	sense	VERB
cana-1222	73	7	classification	classification	NOUN
cana-1222	73	8	is	be	AUX
cana-1222	73	9	the	the	DET
cana-1222	73	10	hybrid	hybrid	ADJ
cana-1222	73	11	feature	feature	NOUN
cana-1222	73	12	enhancement	enhancement	NOUN
cana-1222	73	13	network	network	NOUN
cana-1222	73	14	[	[	X
cana-1222	73	15	14	14	NUM
cana-1222	73	16	]	]	PUNCT
cana-1222	73	17	,	,	PUNCT
cana-1222	73	18	which	which	PRON
cana-1222	73	19	aims	aim	VERB
cana-1222	73	20	to	to	PART
cana-1222	73	21	tackle	tackle	VERB
cana-1222	73	22	the	the	DET
cana-1222	73	23	difficulties	difficulty	NOUN
cana-1222	73	24	associated	associate	VERB
cana-1222	73	25	with	with	ADP
cana-1222	73	26	feature	feature	NOUN
cana-1222	73	27	confusion	confusion	NOUN
cana-1222	73	28	and	and	CCONJ
cana-1222	73	29	the	the	DET
cana-1222	73	30	detection	detection	NOUN
cana-1222	73	31	of	of	ADP
cana-1222	73	32	small	small	ADJ
cana-1222	73	33	-	-	PUNCT
cana-1222	73	34	scale	scale	NOUN
cana-1222	73	35	features	feature	NOUN
cana-1222	73	36	.	.	PUNCT
cana-1222	74	1	the	the	DET
cana-1222	74	2	objective	objective	NOUN
cana-1222	74	3	of	of	ADP
cana-1222	74	4	this	this	DET
cana-1222	74	5	network	network	NOUN
cana-1222	74	6	is	be	AUX
cana-1222	74	7	to	to	PART
cana-1222	74	8	increase	increase	VERB
cana-1222	74	9	the	the	DET
cana-1222	74	10	clarity	clarity	NOUN
cana-1222	74	11	of	of	ADP
cana-1222	74	12	similar	similar	ADJ
cana-1222	74	13	characteristics	characteristic	NOUN
cana-1222	74	14	and	and	CCONJ
cana-1222	74	15	better	well	ADJ
cana-1222	74	16	the	the	DET
cana-1222	74	17	ability	ability	NOUN
cana-1222	74	18	to	to	PART
cana-1222	74	19	identify	identify	VERB
cana-1222	74	20	small	small	ADJ
cana-1222	74	21	-	-	PUNCT
cana-1222	74	22	scale	scale	NOUN
cana-1222	74	23	features	feature	NOUN
cana-1222	74	24	,	,	PUNCT
cana-1222	74	25	hence	hence	ADV
cana-1222	74	26	improving	improve	VERB
cana-1222	74	27	the	the	DET
cana-1222	74	28	overall	overall	ADJ
cana-1222	74	29	reliability	reliability	NOUN
cana-1222	74	30	of	of	ADP
cana-1222	74	31	remote	remote	ADJ
cana-1222	74	32	sensing	sense	VERB
cana-1222	74	33	picture	picture	NOUN
cana-1222	74	34	categorization	categorization	NOUN
cana-1222	74	35	.	.	PUNCT
cana-1222	75	1	moreover	moreover	ADV
cana-1222	75	2	,	,	PUNCT
cana-1222	75	3	the	the	DET
cana-1222	75	4	dua	dua	PROPN
cana-1222	75	5	-	-	NOUN
cana-1222	75	6	net	net	NOUN
cana-1222	75	7	,	,	PUNCT
cana-1222	75	8	which	which	PRON
cana-1222	75	9	is	be	AUX
cana-1222	75	10	a	a	DET
cana-1222	75	11	combined	combined	ADJ
cana-1222	75	12	convolutional	convolutional	ADJ
cana-1222	75	13	neural	neural	ADJ
cana-1222	75	14	network	network	NOUN
cana-1222	75	15	,	,	PUNCT
cana-1222	75	16	has	have	AUX
cana-1222	75	17	exhibited	exhibit	VERB
cana-1222	75	18	exceptional	exceptional	ADJ
cana-1222	75	19	precision	precision	NOUN
cana-1222	75	20	in	in	ADP
cana-1222	75	21	the	the	DET
cana-1222	75	22	intricate	intricate	ADJ
cana-1222	75	23	task	task	NOUN
cana-1222	75	24	of	of	ADP
cana-1222	75	25	urban	urban	ADJ
cana-1222	75	26	land	land	NOUN
cana-1222	75	27	-	-	PUNCT
cana-1222	75	28	use	use	NOUN
cana-1222	75	29	classification	classification	NOUN
cana-1222	75	30	.	.	PUNCT
cana-1222	76	1	this	this	PRON
cana-1222	76	2	has	have	AUX
cana-1222	76	3	been	be	AUX
cana-1222	76	4	confirmed	confirm	VERB
cana-1222	76	5	through	through	ADP
cana-1222	76	6	its	its	PRON
cana-1222	76	7	evaluation	evaluation	NOUN
cana-1222	76	8	on	on	ADP
cana-1222	76	9	publicly	publicly	ADV
cana-1222	76	10	available	available	ADJ
cana-1222	76	11	datasets	dataset	NOUN
cana-1222	76	12	[	[	X
cana-1222	76	13	15	15	NUM
cana-1222	76	14	]	]	PUNCT
cana-1222	76	15	.	.	PUNCT
cana-1222	77	1	in	in	ADP
cana-1222	77	2	addition	addition	NOUN
cana-1222	77	3	,	,	PUNCT
cana-1222	77	4	advanced	advanced	ADJ
cana-1222	77	5	frameworks	framework	NOUN
cana-1222	77	6	like	like	ADP
cana-1222	77	7	the	the	DET
cana-1222	77	8	atrous	atrous	ADJ
cana-1222	77	9	spatial	spatial	ADJ
cana-1222	77	10	pyramid	pyramid	NOUN
cana-1222	77	11	pooling	pool	VERB
cana-1222	77	12	(	(	PUNCT
cana-1222	77	13	aspp	aspp	NOUN
cana-1222	77	14	)	)	PUNCT
cana-1222	77	15	in	in	ADP
cana-1222	77	16	the	the	DET
cana-1222	77	17	raanet	raanet	NOUN
cana-1222	77	18	(	(	PUNCT
cana-1222	77	19	residual	residual	ADJ
cana-1222	77	20	aspp	aspp	NOUN
cana-1222	77	21	with	with	ADP
cana-1222	77	22	attention	attention	NOUN
cana-1222	77	23	net	net	NOUN
cana-1222	77	24	)	)	PUNCT
cana-1222	77	25	have	have	AUX
cana-1222	77	26	been	be	AUX
cana-1222	77	27	developed	develop	VERB
cana-1222	77	28	to	to	PART
cana-1222	77	29	enhance	enhance	VERB
cana-1222	77	30	the	the	DET
cana-1222	77	31	precision	precision	NOUN
cana-1222	77	32	of	of	ADP
cana-1222	77	33	semantic	semantic	ADJ
cana-1222	77	34	segmentation	segmentation	NOUN
cana-1222	77	35	in	in	ADP
cana-1222	77	36	remote	remote	ADJ
cana-1222	77	37	sensing	sensing	NOUN
cana-1222	77	38	images	image	NOUN
cana-1222	77	39	[	[	X
cana-1222	77	40	16	16	NUM
cana-1222	77	41	]	]	PUNCT
cana-1222	77	42	.	.	PUNCT
cana-1222	78	1	a	a	DET
cana-1222	78	2	remarkable	remarkable	ADJ
cana-1222	78	3	example	example	NOUN
cana-1222	78	4	involved	involve	VERB
cana-1222	78	5	the	the	DET
cana-1222	78	6	utilization	utilization	NOUN
cana-1222	78	7	of	of	ADP
cana-1222	78	8	a	a	DET
cana-1222	78	9	seven	seven	NUM
cana-1222	78	10	-	-	PUNCT
cana-1222	78	11	layer	layer	NOUN
cana-1222	78	12	convolutional	convolutional	ADJ
cana-1222	78	13	neural	neural	ADJ
cana-1222	78	14	network	network	NOUN
cana-1222	78	15	(	(	PUNCT
cana-1222	78	16	cnn	cnn	PROPN
cana-1222	78	17	)	)	PUNCT
cana-1222	78	18	model	model	NOUN
cana-1222	78	19	,	,	PUNCT
cana-1222	78	20	which	which	PRON
cana-1222	78	21	shown	show	VERB
cana-1222	78	22	significant	significant	ADJ
cana-1222	78	23	enhancements	enhancement	NOUN
cana-1222	78	24	in	in	ADP
cana-1222	78	25	classification	classification	NOUN
cana-1222	78	26	accuracy	accuracy	NOUN
cana-1222	78	27	.	.	PUNCT
cana-1222	79	1	it	it	PRON
cana-1222	79	2	achieved	achieve	VERB
cana-1222	79	3	an	an	DET
cana-1222	79	4	impressive	impressive	ADJ
cana-1222	79	5	overall	overall	ADJ
cana-1222	79	6	accuracy	accuracy	NOUN
cana-1222	79	7	(	(	PUNCT
cana-1222	79	8	oa	oa	INTJ
cana-1222	79	9	)	)	PUNCT
cana-1222	79	10	of	of	ADP
cana-1222	79	11	94.68	94.68	NUM
cana-1222	79	12	%	%	NOUN
cana-1222	79	13	and	and	CCONJ
cana-1222	79	14	a	a	DET
cana-1222	79	15	kappa	kappa	ADJ
cana-1222	79	16	value	value	NOUN
cana-1222	79	17	of	of	ADP
cana-1222	79	18	0.9351	0.9351	NOUN
cana-1222	79	19	[	[	X
cana-1222	79	20	17	17	NUM
cana-1222	79	21	]	]	PUNCT
cana-1222	79	22	.	.	PUNCT
cana-1222	80	1	deep	deep	ADJ
cana-1222	80	2	learning	learning	NOUN
cana-1222	80	3	is	be	AUX
cana-1222	80	4	not	not	PART
cana-1222	80	5	limited	limit	VERB
cana-1222	80	6	to	to	ADP
cana-1222	80	7	the	the	DET
cana-1222	80	8	use	use	NOUN
cana-1222	80	9	of	of	ADP
cana-1222	80	10	high	high	ADJ
cana-1222	80	11	-	-	PUNCT
cana-1222	80	12	resolution	resolution	NOUN
cana-1222	80	13	data	datum	NOUN
cana-1222	80	14	.	.	PUNCT
cana-1222	81	1	researchers	researcher	NOUN
cana-1222	81	2	have	have	AUX
cana-1222	81	3	also	also	ADV
cana-1222	81	4	applied	apply	VERB
cana-1222	81	5	it	it	PRON
cana-1222	81	6	to	to	ADP
cana-1222	81	7	remote	remote	ADJ
cana-1222	81	8	sensing	sense	VERB
cana-1222	81	9	photos	photo	NOUN
cana-1222	81	10	that	that	PRON
cana-1222	81	11	have	have	VERB
cana-1222	81	12	a	a	DET
cana-1222	81	13	middling	middling	ADJ
cana-1222	81	14	spatial	spatial	ADJ
cana-1222	81	15	resolution	resolution	NOUN
cana-1222	81	16	.	.	PUNCT
cana-1222	82	1	for	for	ADP
cana-1222	82	2	example	example	NOUN
cana-1222	82	3	,	,	PUNCT
cana-1222	82	4	karra	karra	VERB
cana-1222	82	5	k	k	PROPN
cana-1222	82	6	et	et	PROPN
cana-1222	82	7	al	al	PROPN
cana-1222	82	8	.	.	PROPN
cana-1222	82	9	highlighted	highlight	VERB
cana-1222	82	10	the	the	DET
cana-1222	82	11	constraints	constraint	NOUN
cana-1222	82	12	of	of	ADP
cana-1222	82	13	existing	exist	VERB
cana-1222	82	14	global	global	ADJ
cana-1222	82	15	land	land	NOUN
cana-1222	82	16	use	use	NOUN
cana-1222	82	17	and	and	CCONJ
cana-1222	82	18	land	land	NOUN
cana-1222	82	19	cover	cover	NOUN
cana-1222	82	20	(	(	PUNCT
cana-1222	82	21	lulc	lulc	PROPN
cana-1222	82	22	)	)	PUNCT
cana-1222	82	23	data	datum	NOUN
cana-1222	82	24	caused	cause	VERB
cana-1222	82	25	by	by	ADP
cana-1222	82	26	their	their	PRON
cana-1222	82	27	poor	poor	ADJ
cana-1222	82	28	resolution	resolution	NOUN
cana-1222	82	29	.	.	PUNCT
cana-1222	83	1	they	they	PRON
cana-1222	83	2	used	use	VERB
cana-1222	83	3	advanced	advanced	ADJ
cana-1222	83	4	deep	deep	ADJ
cana-1222	83	5	learning	learning	NOUN
cana-1222	83	6	methods	method	NOUN
cana-1222	83	7	to	to	PART
cana-1222	83	8	create	create	VERB
cana-1222	83	9	higher	high	ADJ
cana-1222	83	10	-	-	PUNCT
cana-1222	83	11	resolution	resolution	NOUN
cana-1222	83	12	global	global	ADJ
cana-1222	83	13	lulc	lulc	PROPN
cana-1222	83	14	products	product	NOUN
cana-1222	83	15	with	with	ADP
cana-1222	83	16	a	a	DET
cana-1222	83	17	spatial	spatial	ADJ
cana-1222	83	18	resolution	resolution	NOUN
cana-1222	83	19	of	of	ADP
cana-1222	83	20	10	10	NUM
cana-1222	83	21	meters	meter	NOUN
cana-1222	83	22	[	[	X
cana-1222	83	23	18	18	NUM
cana-1222	83	24	]	]	PUNCT
cana-1222	83	25	.	.	PUNCT
cana-1222	84	1	in	in	ADP
cana-1222	84	2	addition	addition	NOUN
cana-1222	84	3	,	,	PUNCT
cana-1222	84	4	scientists	scientist	NOUN
cana-1222	84	5	have	have	AUX
cana-1222	84	6	investigated	investigate	VERB
cana-1222	84	7	the	the	DET
cana-1222	84	8	categorization	categorization	NOUN
cana-1222	84	9	of	of	ADP
cana-1222	84	10	landsat	landsat	PROPN
cana-1222	84	11	pictures	picture	NOUN
cana-1222	84	12	with	with	ADP
cana-1222	84	13	resolutions	resolution	NOUN
cana-1222	84	14	of	of	ADP
cana-1222	84	15	15	15	NUM
cana-1222	84	16	meters	meter	NOUN
cana-1222	84	17	and	and	CCONJ
cana-1222	84	18	30	30	NUM
cana-1222	84	19	meters	meter	NOUN
cana-1222	84	20	using	use	VERB
cana-1222	84	21	deep	deep	ADJ
cana-1222	84	22	learning	learning	NOUN
cana-1222	84	23	techniques	technique	NOUN
cana-1222	84	24	[	[	X
cana-1222	84	25	19–20	19–20	NUM
cana-1222	84	26	]	]	PUNCT
cana-1222	84	27	.	.	PUNCT
cana-1222	85	1	these	these	DET
cana-1222	85	2	efforts	effort	NOUN
cana-1222	85	3	highlight	highlight	VERB
cana-1222	85	4	the	the	DET
cana-1222	85	5	flexibility	flexibility	NOUN
cana-1222	85	6	and	and	CCONJ
cana-1222	85	7	ability	ability	NOUN
cana-1222	85	8	of	of	ADP
cana-1222	85	9	deep	deep	ADJ
cana-1222	85	10	learning	learning	NOUN
cana-1222	85	11	methods	method	NOUN
cana-1222	85	12	to	to	PART
cana-1222	85	13	work	work	VERB
cana-1222	85	14	effectively	effectively	ADV
cana-1222	85	15	with	with	ADP
cana-1222	85	16	different	different	ADJ
cana-1222	85	17	levels	level	NOUN
cana-1222	85	18	of	of	ADP
cana-1222	85	19	detail	detail	NOUN
cana-1222	85	20	in	in	ADP
cana-1222	85	21	remote	remote	ADJ
cana-1222	85	22	sensing	sensing	NOUN
cana-1222	85	23	.	.	PUNCT
cana-1222	86	1	this	this	PRON
cana-1222	86	2	represents	represent	VERB
cana-1222	86	3	a	a	DET
cana-1222	86	4	big	big	ADJ
cana-1222	86	5	step	step	NOUN
cana-1222	86	6	forward	forward	ADV
cana-1222	86	7	in	in	ADP
cana-1222	86	8	improving	improve	VERB
cana-1222	86	9	the	the	DET
cana-1222	86	10	accuracy	accuracy	NOUN
cana-1222	86	11	and	and	CCONJ
cana-1222	86	12	usefulness	usefulness	NOUN
cana-1222	86	13	of	of	ADP
cana-1222	86	14	picture	picture	NOUN
cana-1222	86	15	categorization	categorization	NOUN
cana-1222	86	16	approaches	approach	NOUN
cana-1222	86	17	.	.	PUNCT
cana-1222	87	1	the	the	DET
cana-1222	87	2	research	research	NOUN
cana-1222	87	3	gap	gap	NOUN
cana-1222	87	4	in	in	ADP
cana-1222	87	5	remote	remote	ADJ
cana-1222	87	6	sensing	sense	VERB
cana-1222	87	7	image	image	NOUN
cana-1222	87	8	classification	classification	NOUN
cana-1222	87	9	pertains	pertain	NOUN
cana-1222	87	10	to	to	ADP
cana-1222	87	11	the	the	DET
cana-1222	87	12	difficulties	difficulty	NOUN
cana-1222	87	13	of	of	ADP
cana-1222	87	14	traditional	traditional	ADJ
cana-1222	87	15	models	model	NOUN
cana-1222	87	16	in	in	ADP
cana-1222	87	17	capturing	capture	VERB
cana-1222	87	18	intricate	intricate	ADJ
cana-1222	87	19	spatial	spatial	ADJ
cana-1222	87	20	and	and	CCONJ
cana-1222	87	21	spectral	spectral	ADJ
cana-1222	87	22	characteristics	characteristic	NOUN
cana-1222	87	23	that	that	PRON
cana-1222	87	24	are	be	AUX
cana-1222	87	25	crucial	crucial	ADJ
cana-1222	87	26	for	for	ADP
cana-1222	87	27	precise	precise	ADJ
cana-1222	87	28	land	land	NOUN
cana-1222	87	29	cover	cover	NOUN
cana-1222	87	30	classification	classification	NOUN
cana-1222	87	31	.	.	PUNCT
cana-1222	88	1	the	the	DET
cana-1222	88	2	redesigned	redesign	VERB
cana-1222	88	3	vgg16	vgg16	NOUN
cana-1222	88	4	architecture	architecture	NOUN
cana-1222	88	5	is	be	AUX
cana-1222	88	6	specifically	specifically	ADV
cana-1222	88	7	designed	design	VERB
cana-1222	88	8	to	to	PART
cana-1222	88	9	optimize	optimize	VERB
cana-1222	88	10	the	the	DET
cana-1222	88	11	performance	performance	NOUN
cana-1222	88	12	of	of	ADP
cana-1222	88	13	vgg16	vgg16	NOUN
cana-1222	88	14	for	for	ADP
cana-1222	88	15	the	the	DET
cana-1222	88	16	intricate	intricate	ADJ
cana-1222	88	17	characteristics	characteristic	NOUN
cana-1222	88	18	of	of	ADP
cana-1222	88	19	remote	remote	ADJ
cana-1222	88	20	sensing	sense	VERB
cana-1222	88	21	imagery	imagery	NOUN
cana-1222	88	22	.	.	PUNCT
cana-1222	89	1	to	to	PART
cana-1222	89	2	boost	boost	VERB
cana-1222	89	3	feature	feature	NOUN
cana-1222	89	4	extraction	extraction	NOUN
cana-1222	89	5	,	,	PUNCT
cana-1222	89	6	the	the	DET
cana-1222	89	7	modifications	modification	NOUN
cana-1222	89	8	involve	involve	VERB
cana-1222	89	9	fine	fine	ADV
cana-1222	89	10	-	-	PUNCT
cana-1222	89	11	tuning	tune	VERB
cana-1222	89	12	the	the	DET
cana-1222	89	13	vgg16	vgg16	NOUN
cana-1222	89	14	model	model	NOUN
cana-1222	89	15	by	by	ADP
cana-1222	89	16	adjusting	adjust	VERB
cana-1222	89	17	layer	layer	NOUN
cana-1222	89	18	configurations	configuration	NOUN
cana-1222	89	19	communications	communication	NOUN
cana-1222	89	20	on	on	ADP
cana-1222	89	21	applied	apply	VERB
cana-1222	89	22	nonlinear	nonlinear	ADJ
cana-1222	89	23	analysis	analysis	NOUN
cana-1222	89	24	issn	issn	NOUN
cana-1222	89	25	:	:	PUNCT
cana-1222	89	26	1074	1074	NUM
cana-1222	89	27	-	-	PUNCT
cana-1222	89	28	133x	133x	NUM
cana-1222	89	29	vol	vol	NOUN
cana-1222	89	30	31	31	NUM
cana-1222	89	31	no	no	NOUN
cana-1222	89	32	.	.	PUNCT
cana-1222	90	1	6s	6s	NUM
cana-1222	90	2	(	(	PUNCT
cana-1222	90	3	2024	2024	NUM
cana-1222	90	4	)	)	PUNCT
cana-1222	90	5	285	285	NUM
cana-1222	90	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1222	90	7	and	and	CCONJ
cana-1222	90	8	kernel	kernel	PROPN
cana-1222	90	9	sizes	size	NOUN
cana-1222	90	10	,	,	PUNCT
cana-1222	90	11	taking	take	VERB
cana-1222	90	12	use	use	NOUN
cana-1222	90	13	of	of	ADP
cana-1222	90	14	its	its	PRON
cana-1222	90	15	inherent	inherent	ADJ
cana-1222	90	16	depth	depth	NOUN
cana-1222	90	17	.	.	PUNCT
cana-1222	91	1	the	the	DET
cana-1222	91	2	modified	modify	VERB
cana-1222	91	3	vgg16	vgg16	NOUN
cana-1222	91	4	model	model	NOUN
cana-1222	91	5	is	be	AUX
cana-1222	91	6	specifically	specifically	ADV
cana-1222	91	7	designed	design	VERB
cana-1222	91	8	to	to	PART
cana-1222	91	9	address	address	VERB
cana-1222	91	10	issues	issue	NOUN
cana-1222	91	11	such	such	ADJ
cana-1222	91	12	as	as	ADP
cana-1222	91	13	feature	feature	NOUN
cana-1222	91	14	confusion	confusion	NOUN
cana-1222	91	15	and	and	CCONJ
cana-1222	91	16	the	the	DET
cana-1222	91	17	detection	detection	NOUN
cana-1222	91	18	of	of	ADP
cana-1222	91	19	small	small	ADJ
cana-1222	91	20	-	-	PUNCT
cana-1222	91	21	scale	scale	NOUN
cana-1222	91	22	characteristics	characteristic	NOUN
cana-1222	91	23	.	.	PUNCT
cana-1222	92	1	its	its	PRON
cana-1222	92	2	purpose	purpose	NOUN
cana-1222	92	3	is	be	AUX
cana-1222	92	4	to	to	PART
cana-1222	92	5	correct	correct	VERB
cana-1222	92	6	the	the	DET
cana-1222	92	7	limitations	limitation	NOUN
cana-1222	92	8	seen	see	VERB
cana-1222	92	9	in	in	ADP
cana-1222	92	10	standard	standard	ADJ
cana-1222	92	11	models	model	NOUN
cana-1222	92	12	.	.	PUNCT
cana-1222	93	1	the	the	DET
cana-1222	93	2	updated	update	VERB
cana-1222	93	3	model	model	NOUN
cana-1222	93	4	achieves	achieve	VERB
cana-1222	93	5	a	a	DET
cana-1222	93	6	compromise	compromise	NOUN
cana-1222	93	7	between	between	ADP
cana-1222	93	8	model	model	NOUN
cana-1222	93	9	complexity	complexity	NOUN
cana-1222	93	10	and	and	CCONJ
cana-1222	93	11	effective	effective	ADJ
cana-1222	93	12	feature	feature	NOUN
cana-1222	93	13	extraction	extraction	NOUN
cana-1222	93	14	by	by	ADP
cana-1222	93	15	adapting	adapt	VERB
cana-1222	93	16	the	the	DET
cana-1222	93	17	vgg16	vgg16	NOUN
cana-1222	93	18	architecture	architecture	NOUN
cana-1222	93	19	to	to	ADP
cana-1222	93	20	the	the	DET
cana-1222	93	21	specific	specific	ADJ
cana-1222	93	22	characteristics	characteristic	NOUN
cana-1222	93	23	of	of	ADP
cana-1222	93	24	remote	remote	ADJ
cana-1222	93	25	sensing	sense	VERB
cana-1222	93	26	data	datum	NOUN
cana-1222	93	27	.	.	PUNCT
cana-1222	94	1	this	this	DET
cana-1222	94	2	enhancement	enhancement	NOUN
cana-1222	94	3	addresses	address	VERB
cana-1222	94	4	the	the	DET
cana-1222	94	5	existing	exist	VERB
cana-1222	94	6	research	research	NOUN
cana-1222	94	7	void	void	ADJ
cana-1222	94	8	by	by	ADP
cana-1222	94	9	offering	offer	VERB
cana-1222	94	10	a	a	DET
cana-1222	94	11	more	more	ADV
cana-1222	94	12	resilient	resilient	ADJ
cana-1222	94	13	approach	approach	NOUN
cana-1222	94	14	for	for	ADP
cana-1222	94	15	land	land	NOUN
cana-1222	94	16	cover	cover	NOUN
cana-1222	94	17	categorization	categorization	NOUN
cana-1222	94	18	problems	problem	NOUN
cana-1222	94	19	.	.	PUNCT
cana-1222	95	1	the	the	DET
cana-1222	95	2	improved	improved	ADJ
cana-1222	95	3	vgg16	vgg16	NOUN
cana-1222	95	4	has	have	AUX
cana-1222	95	5	been	be	AUX
cana-1222	95	6	empirically	empirically	ADV
cana-1222	95	7	evaluated	evaluate	VERB
cana-1222	95	8	on	on	ADP
cana-1222	95	9	several	several	ADJ
cana-1222	95	10	datasets	dataset	NOUN
cana-1222	95	11	,	,	PUNCT
cana-1222	95	12	consistently	consistently	ADV
cana-1222	95	13	demonstrating	demonstrate	VERB
cana-1222	95	14	its	its	PRON
cana-1222	95	15	higher	high	ADJ
cana-1222	95	16	performance	performance	NOUN
cana-1222	95	17	.	.	PUNCT
cana-1222	96	1	this	this	PRON
cana-1222	96	2	highlights	highlight	VERB
cana-1222	96	3	its	its	PRON
cana-1222	96	4	capability	capability	NOUN
cana-1222	96	5	to	to	PART
cana-1222	96	6	overcome	overcome	VERB
cana-1222	96	7	restrictions	restriction	NOUN
cana-1222	96	8	present	present	ADJ
cana-1222	96	9	in	in	ADP
cana-1222	96	10	current	current	ADJ
cana-1222	96	11	models	model	NOUN
cana-1222	96	12	and	and	CCONJ
cana-1222	96	13	push	push	VERB
cana-1222	96	14	the	the	DET
cana-1222	96	15	boundaries	boundary	NOUN
cana-1222	96	16	of	of	ADP
cana-1222	96	17	remote	remote	ADJ
cana-1222	96	18	sensing	sense	VERB
cana-1222	96	19	picture	picture	NOUN
cana-1222	96	20	categorization	categorization	NOUN
cana-1222	96	21	.	.	PUNCT
cana-1222	97	1	3	3	X
cana-1222	97	2	.	.	NUM
cana-1222	97	3	proposed	propose	VERB
cana-1222	97	4	methodology	methodology	NOUN
cana-1222	97	5	the	the	DET
cana-1222	97	6	classification	classification	NOUN
cana-1222	97	7	of	of	ADP
cana-1222	97	8	imagery	imagery	NOUN
cana-1222	97	9	from	from	ADP
cana-1222	97	10	satellites	satellite	NOUN
cana-1222	97	11	using	use	VERB
cana-1222	97	12	the	the	DET
cana-1222	97	13	vgg16	vgg16	NOUN
cana-1222	97	14	model	model	NOUN
cana-1222	97	15	requires	require	VERB
cana-1222	97	16	a	a	DET
cana-1222	97	17	series	series	NOUN
cana-1222	97	18	of	of	ADP
cana-1222	97	19	steps	step	NOUN
cana-1222	97	20	.	.	PUNCT
cana-1222	98	1	initially	initially	ADV
cana-1222	98	2	,	,	PUNCT
cana-1222	98	3	the	the	DET
cana-1222	98	4	dataset	dataset	NOUN
cana-1222	98	5	containing	contain	VERB
cana-1222	98	6	satellite	satellite	NOUN
cana-1222	98	7	images	image	NOUN
cana-1222	98	8	is	be	AUX
cana-1222	98	9	imported	import	VERB
cana-1222	98	10	and	and	CCONJ
cana-1222	98	11	subjected	subject	VERB
cana-1222	98	12	to	to	ADP
cana-1222	98	13	preprocessing	preprocesse	VERB
cana-1222	98	14	procedures	procedure	NOUN
cana-1222	98	15	to	to	PART
cana-1222	98	16	ensure	ensure	VERB
cana-1222	98	17	uniformity	uniformity	NOUN
cana-1222	98	18	in	in	ADP
cana-1222	98	19	dimensions	dimension	NOUN
cana-1222	98	20	and	and	CCONJ
cana-1222	98	21	pixel	pixel	NOUN
cana-1222	98	22	values	value	NOUN
cana-1222	98	23	.	.	PUNCT
cana-1222	99	1	the	the	DET
cana-1222	99	2	pre	pre	ADJ
cana-1222	99	3	-	-	ADJ
cana-1222	99	4	existing	existing	ADJ
cana-1222	99	5	vgg16	vgg16	NOUN
cana-1222	99	6	model	model	NOUN
cana-1222	99	7	,	,	PUNCT
cana-1222	99	8	acquired	acquire	VERB
cana-1222	99	9	via	via	ADP
cana-1222	99	10	a	a	DET
cana-1222	99	11	deep	deep	ADJ
cana-1222	99	12	learning	learning	NOUN
cana-1222	99	13	framework	framework	NOUN
cana-1222	99	14	such	such	ADJ
cana-1222	99	15	as	as	ADP
cana-1222	99	16	keras	keras	PROPN
cana-1222	99	17	or	or	CCONJ
cana-1222	99	18	tensorflow	tensorflow	NOUN
cana-1222	99	19	,	,	PUNCT
cana-1222	99	20	is	be	AUX
cana-1222	99	21	subsequently	subsequently	ADV
cana-1222	99	22	employed	employ	VERB
cana-1222	99	23	as	as	ADP
cana-1222	99	24	a	a	DET
cana-1222	99	25	tool	tool	NOUN
cana-1222	99	26	for	for	ADP
cana-1222	99	27	extracting	extract	VERB
cana-1222	99	28	features	feature	NOUN
cana-1222	99	29	.	.	PUNCT
cana-1222	100	1	the	the	DET
cana-1222	100	2	vgg16	vgg16	PROPN
cana-1222	100	3	model	model	NOUN
cana-1222	100	4	utilizes	utilize	VERB
cana-1222	100	5	the	the	DET
cana-1222	100	6	convolutional	convolutional	ADJ
cana-1222	100	7	layers	layer	NOUN
cana-1222	100	8	to	to	PART
cana-1222	100	9	extract	extract	VERB
cana-1222	100	10	high	high	ADJ
cana-1222	100	11	-	-	PUNCT
cana-1222	100	12	level	level	NOUN
cana-1222	100	13	characteristics	characteristic	NOUN
cana-1222	100	14	from	from	ADP
cana-1222	100	15	the	the	DET
cana-1222	100	16	satellite	satellite	NOUN
cana-1222	100	17	pictures	picture	NOUN
cana-1222	100	18	.	.	PUNCT
cana-1222	101	1	afterwards	afterwards	ADV
cana-1222	101	2	,	,	PUNCT
cana-1222	101	3	these	these	DET
cana-1222	101	4	characteristics	characteristic	NOUN
cana-1222	101	5	are	be	AUX
cana-1222	101	6	compressed	compress	VERB
cana-1222	101	7	,	,	PUNCT
cana-1222	101	8	and	and	CCONJ
cana-1222	101	9	a	a	DET
cana-1222	101	10	specialized	specialized	ADJ
cana-1222	101	11	categorization	categorization	NOUN
cana-1222	101	12	component	component	NOUN
cana-1222	101	13	is	be	AUX
cana-1222	101	14	appended	append	VERB
cana-1222	101	15	to	to	PART
cana-1222	101	16	create	create	VERB
cana-1222	101	17	a	a	DET
cana-1222	101	18	fresh	fresh	ADJ
cana-1222	101	19	model	model	NOUN
cana-1222	101	20	.	.	PUNCT
cana-1222	102	1	the	the	DET
cana-1222	102	2	model	model	NOUN
cana-1222	102	3	is	be	AUX
cana-1222	102	4	compiled	compile	VERB
cana-1222	102	5	using	use	VERB
cana-1222	102	6	an	an	DET
cana-1222	102	7	optimizer	optimizer	NOUN
cana-1222	102	8	,	,	PUNCT
cana-1222	102	9	an	an	DET
cana-1222	102	10	appropriate	appropriate	ADJ
cana-1222	102	11	loss	loss	NOUN
cana-1222	102	12	function	function	NOUN
cana-1222	102	13	,	,	PUNCT
cana-1222	102	14	and	and	CCONJ
cana-1222	102	15	an	an	DET
cana-1222	102	16	evaluation	evaluation	NOUN
cana-1222	102	17	metric	metric	NOUN
cana-1222	102	18	.	.	PUNCT
cana-1222	103	1	the	the	DET
cana-1222	103	2	training	training	NOUN
cana-1222	103	3	phase	phase	NOUN
cana-1222	103	4	encompasses	encompass	VERB
cana-1222	103	5	the	the	DET
cana-1222	103	6	process	process	NOUN
cana-1222	103	7	of	of	ADP
cana-1222	103	8	inputting	inputte	VERB
cana-1222	103	9	labeled	label	VERB
cana-1222	103	10	satellite	satellite	NOUN
cana-1222	103	11	photos	photo	NOUN
cana-1222	103	12	into	into	ADP
cana-1222	103	13	the	the	DET
cana-1222	103	14	model	model	NOUN
cana-1222	103	15	,	,	PUNCT
cana-1222	103	16	modifying	modify	VERB
cana-1222	103	17	the	the	DET
cana-1222	103	18	internal	internal	ADJ
cana-1222	103	19	parameters	parameter	NOUN
cana-1222	103	20	using	use	VERB
cana-1222	103	21	the	the	DET
cana-1222	103	22	backpropagation	backpropagation	NOUN
cana-1222	103	23	technique	technique	NOUN
cana-1222	103	24	,	,	PUNCT
cana-1222	103	25	and	and	CCONJ
cana-1222	103	26	refining	refine	VERB
cana-1222	103	27	the	the	DET
cana-1222	103	28	model	model	NOUN
cana-1222	103	29	to	to	PART
cana-1222	103	30	enhance	enhance	VERB
cana-1222	103	31	its	its	PRON
cana-1222	103	32	performance	performance	NOUN
cana-1222	103	33	.	.	PUNCT
cana-1222	104	1	following	follow	VERB
cana-1222	104	2	the	the	DET
cana-1222	104	3	training	training	NOUN
cana-1222	104	4	process	process	NOUN
cana-1222	104	5	,	,	PUNCT
cana-1222	104	6	the	the	DET
cana-1222	104	7	model	model	NOUN
cana-1222	104	8	is	be	AUX
cana-1222	104	9	assessed	assess	VERB
cana-1222	104	10	for	for	ADP
cana-1222	104	11	its	its	PRON
cana-1222	104	12	correctness	correctness	NOUN
cana-1222	104	13	by	by	ADP
cana-1222	104	14	evaluating	evaluate	VERB
cana-1222	104	15	it	it	PRON
cana-1222	104	16	on	on	ADP
cana-1222	104	17	a	a	DET
cana-1222	104	18	distinct	distinct	ADJ
cana-1222	104	19	test	test	NOUN
cana-1222	104	20	dataset	dataset	NOUN
cana-1222	104	21	.	.	PUNCT
cana-1222	105	1	ultimately	ultimately	ADV
cana-1222	105	2	,	,	PUNCT
cana-1222	105	3	the	the	DET
cana-1222	105	4	well	well	ADV
cana-1222	105	5	-	-	PUNCT
cana-1222	105	6	developed	develop	VERB
cana-1222	105	7	model	model	NOUN
cana-1222	105	8	can	can	AUX
cana-1222	105	9	be	be	AUX
cana-1222	105	10	utilized	utilize	VERB
cana-1222	105	11	to	to	PART
cana-1222	105	12	generate	generate	VERB
cana-1222	105	13	forecasts	forecast	NOUN
cana-1222	105	14	on	on	ADP
cana-1222	105	15	novel	novel	ADJ
cana-1222	105	16	satellite	satellite	NOUN
cana-1222	105	17	images	image	NOUN
cana-1222	105	18	,	,	PUNCT
cana-1222	105	19	offering	offer	VERB
cana-1222	105	20	valuable	valuable	ADJ
cana-1222	105	21	understanding	understanding	NOUN
cana-1222	105	22	into	into	ADP
cana-1222	105	23	the	the	DET
cana-1222	105	24	categorization	categorization	NOUN
cana-1222	105	25	of	of	ADP
cana-1222	105	26	distinct	distinct	ADJ
cana-1222	105	27	geographical	geographical	ADJ
cana-1222	105	28	attributes	attribute	NOUN
cana-1222	105	29	or	or	CCONJ
cana-1222	105	30	land	land	NOUN
cana-1222	105	31	cover	cover	NOUN
cana-1222	105	32	classifications	classification	NOUN
cana-1222	105	33	in	in	ADP
cana-1222	105	34	satellite	satellite	NOUN
cana-1222	105	35	imaging	imaging	NOUN
cana-1222	105	36	.	.	PUNCT
cana-1222	106	1	by	by	ADP
cana-1222	106	2	fine	fine	ADV
cana-1222	106	3	-	-	PUNCT
cana-1222	106	4	tuning	tune	VERB
cana-1222	106	5	hyperparameters	hyperparameter	NOUN
cana-1222	106	6	and	and	CCONJ
cana-1222	106	7	model	model	NOUN
cana-1222	106	8	architecture	architecture	NOUN
cana-1222	106	9	,	,	PUNCT
cana-1222	106	10	it	it	PRON
cana-1222	106	11	is	be	AUX
cana-1222	106	12	possible	possible	ADJ
cana-1222	106	13	to	to	PART
cana-1222	106	14	customize	customize	VERB
cana-1222	106	15	the	the	DET
cana-1222	106	16	vgg16	vgg16	NOUN
cana-1222	106	17	-	-	PUNCT
cana-1222	106	18	based	base	VERB
cana-1222	106	19	technique	technique	NOUN
cana-1222	106	20	to	to	PART
cana-1222	106	21	meet	meet	VERB
cana-1222	106	22	individual	individual	ADJ
cana-1222	106	23	requirements	requirement	NOUN
cana-1222	106	24	and	and	CCONJ
cana-1222	106	25	datasets	dataset	NOUN
cana-1222	106	26	.	.	PUNCT
cana-1222	107	1	the	the	DET
cana-1222	107	2	architectural	architectural	ADJ
cana-1222	107	3	configuration	configuration	NOUN
cana-1222	107	4	entails	entail	VERB
cana-1222	107	5	the	the	DET
cana-1222	107	6	utilization	utilization	NOUN
cana-1222	107	7	of	of	ADP
cana-1222	107	8	the	the	DET
cana-1222	107	9	vgg16	vgg16	NOUN
cana-1222	107	10	model	model	NOUN
cana-1222	107	11	for	for	ADP
cana-1222	107	12	the	the	DET
cana-1222	107	13	classification	classification	NOUN
cana-1222	107	14	of	of	ADP
cana-1222	107	15	satellite	satellite	NOUN
cana-1222	107	16	images	image	NOUN
cana-1222	107	17	.	.	PUNCT
cana-1222	108	1	the	the	DET
cana-1222	108	2	succeeding	succeed	VERB
cana-1222	108	3	phases	phase	NOUN
cana-1222	108	4	provide	provide	VERB
cana-1222	108	5	a	a	DET
cana-1222	108	6	detailed	detailed	ADJ
cana-1222	108	7	account	account	NOUN
cana-1222	108	8	of	of	ADP
cana-1222	108	9	this	this	DET
cana-1222	108	10	process	process	NOUN
cana-1222	108	11	.	.	PUNCT
cana-1222	109	1	initially	initially	ADV
cana-1222	109	2	,	,	PUNCT
cana-1222	109	3	the	the	DET
cana-1222	109	4	pretrained	pretraine	VERB
cana-1222	109	5	vgg16	vgg16	NOUN
cana-1222	109	6	model	model	NOUN
cana-1222	109	7	is	be	AUX
cana-1222	109	8	loaded	load	VERB
cana-1222	109	9	,	,	PUNCT
cana-1222	109	10	excluding	exclude	VERB
cana-1222	109	11	its	its	PRON
cana-1222	109	12	top	top	ADJ
cana-1222	109	13	layers	layer	NOUN
cana-1222	109	14	,	,	PUNCT
cana-1222	109	15	which	which	PRON
cana-1222	109	16	enables	enable	VERB
cana-1222	109	17	it	it	PRON
cana-1222	109	18	to	to	PART
cana-1222	109	19	function	function	VERB
cana-1222	109	20	as	as	ADP
cana-1222	109	21	a	a	DET
cana-1222	109	22	powerful	powerful	ADJ
cana-1222	109	23	feature	feature	NOUN
cana-1222	109	24	extractor	extractor	NOUN
cana-1222	109	25	.	.	PUNCT
cana-1222	110	1	the	the	DET
cana-1222	110	2	model	model	NOUN
cana-1222	110	3	is	be	AUX
cana-1222	110	4	derived	derive	VERB
cana-1222	110	5	from	from	ADP
cana-1222	110	6	deep	deep	ADJ
cana-1222	110	7	learning	learning	NOUN
cana-1222	110	8	frameworks	framework	NOUN
cana-1222	110	9	such	such	ADJ
cana-1222	110	10	as	as	ADP
cana-1222	110	11	keras	keras	PROPN
cana-1222	110	12	or	or	CCONJ
cana-1222	110	13	tensorflow	tensorflow	NOUN
cana-1222	110	14	,	,	PUNCT
cana-1222	110	15	offering	offer	VERB
cana-1222	110	16	a	a	DET
cana-1222	110	17	strong	strong	ADJ
cana-1222	110	18	basis	basis	NOUN
cana-1222	110	19	for	for	ADP
cana-1222	110	20	feature	feature	NOUN
cana-1222	110	21	extraction	extraction	NOUN
cana-1222	110	22	tasks	task	NOUN
cana-1222	110	23	.	.	PUNCT
cana-1222	111	1	the	the	DET
cana-1222	111	2	provided	provide	VERB
cana-1222	111	3	code	code	NOUN
cana-1222	111	4	snippet	snippet	NOUN
cana-1222	111	5	illustrates	illustrate	VERB
cana-1222	111	6	the	the	DET
cana-1222	111	7	process	process	NOUN
cana-1222	111	8	of	of	ADP
cana-1222	111	9	loading	load	VERB
cana-1222	111	10	the	the	DET
cana-1222	111	11	vgg16	vgg16	NOUN
cana-1222	111	12	model	model	NOUN
cana-1222	111	13	and	and	CCONJ
cana-1222	111	14	customizing	customize	VERB
cana-1222	111	15	it	it	PRON
cana-1222	111	16	using	use	VERB
cana-1222	111	17	user	user	NOUN
cana-1222	111	18	-	-	PUNCT
cana-1222	111	19	defined	define	VERB
cana-1222	111	20	input	input	NOUN
cana-1222	111	21	dimensions	dimension	NOUN
cana-1222	111	22	.	.	PUNCT
cana-1222	112	1	subsequently	subsequently	ADV
cana-1222	112	2	,	,	PUNCT
cana-1222	112	3	the	the	DET
cana-1222	112	4	feature	feature	NOUN
cana-1222	112	5	extraction	extraction	NOUN
cana-1222	112	6	procedure	procedure	NOUN
cana-1222	112	7	entails	entail	VERB
cana-1222	112	8	feeding	feed	VERB
cana-1222	112	9	preprocessed	preprocesse	VERB
cana-1222	112	10	satellite	satellite	NOUN
cana-1222	112	11	pictures	picture	NOUN
cana-1222	112	12	through	through	ADP
cana-1222	112	13	the	the	DET
cana-1222	112	14	convolutional	convolutional	ADJ
cana-1222	112	15	layers	layer	NOUN
cana-1222	112	16	of	of	ADP
cana-1222	112	17	the	the	DET
cana-1222	112	18	vgg16	vgg16	NOUN
cana-1222	112	19	model	model	NOUN
cana-1222	112	20	.	.	PUNCT
cana-1222	113	1	this	this	DET
cana-1222	113	2	stage	stage	NOUN
cana-1222	113	3	captures	capture	VERB
cana-1222	113	4	crucial	crucial	ADJ
cana-1222	113	5	high	high	ADJ
cana-1222	113	6	-	-	PUNCT
cana-1222	113	7	level	level	NOUN
cana-1222	113	8	features	feature	NOUN
cana-1222	113	9	necessary	necessary	ADJ
cana-1222	113	10	for	for	ADP
cana-1222	113	11	efficient	efficient	ADJ
cana-1222	113	12	image	image	NOUN
cana-1222	113	13	classification	classification	NOUN
cana-1222	113	14	.	.	PUNCT
cana-1222	114	1	the	the	DET
cana-1222	114	2	compressed	compressed	ADJ
cana-1222	114	3	characteristics	characteristic	NOUN
cana-1222	114	4	are	be	AUX
cana-1222	114	5	subsequently	subsequently	ADV
cana-1222	114	6	inputted	inputte	VERB
cana-1222	114	7	into	into	ADP
cana-1222	114	8	a	a	DET
cana-1222	114	9	specialized	specialized	ADJ
cana-1222	114	10	classification	classification	NOUN
cana-1222	114	11	component	component	NOUN
cana-1222	114	12	consisting	consist	VERB
cana-1222	114	13	of	of	ADP
cana-1222	114	14	a	a	DET
cana-1222	114	15	compression	compression	NOUN
cana-1222	114	16	layer	layer	NOUN
cana-1222	114	17	and	and	CCONJ
cana-1222	114	18	a	a	DET
cana-1222	114	19	densely	densely	ADV
cana-1222	114	20	interconnected	interconnected	ADJ
cana-1222	114	21	layer	layer	NOUN
cana-1222	114	22	with	with	ADP
cana-1222	114	23	a	a	DET
cana-1222	114	24	softmax	softmax	NOUN
cana-1222	114	25	activation	activation	NOUN
cana-1222	114	26	function	function	NOUN
cana-1222	114	27	.	.	PUNCT
cana-1222	115	1	the	the	DET
cana-1222	115	2	model	model	NOUN
cana-1222	115	3	is	be	AUX
cana-1222	115	4	created	create	VERB
cana-1222	115	5	by	by	ADP
cana-1222	115	6	combining	combine	VERB
cana-1222	115	7	the	the	DET
cana-1222	115	8	vgg16	vgg16	NOUN
cana-1222	115	9	convolutional	convolutional	ADJ
cana-1222	115	10	base	base	NOUN
cana-1222	115	11	with	with	ADP
cana-1222	115	12	a	a	DET
cana-1222	115	13	bespoke	bespoke	NOUN
cana-1222	115	14	classification	classification	NOUN
cana-1222	115	15	head	head	NOUN
cana-1222	115	16	.	.	PUNCT
cana-1222	116	1	the	the	DET
cana-1222	116	2	model	model	NOUN
cana-1222	116	3	is	be	AUX
cana-1222	116	4	compiled	compile	VERB
cana-1222	116	5	using	use	VERB
cana-1222	116	6	the	the	DET
cana-1222	116	7	adam	adam	PROPN
cana-1222	116	8	optimizer	optimizer	NOUN
cana-1222	116	9	,	,	PUNCT
cana-1222	116	10	categorical	categorical	ADJ
cana-1222	116	11	crossentropy	crossentropy	NOUN
cana-1222	116	12	as	as	ADP
cana-1222	116	13	the	the	DET
cana-1222	116	14	loss	loss	NOUN
cana-1222	116	15	function	function	NOUN
cana-1222	116	16	,	,	PUNCT
cana-1222	116	17	and	and	CCONJ
cana-1222	116	18	accuracy	accuracy	NOUN
cana-1222	116	19	as	as	ADP
cana-1222	116	20	the	the	DET
cana-1222	116	21	evaluation	evaluation	NOUN
cana-1222	116	22	metric	metric	NOUN
cana-1222	116	23	.	.	PUNCT
cana-1222	117	1	in	in	ADP
cana-1222	117	2	the	the	DET
cana-1222	117	3	training	training	NOUN
cana-1222	117	4	phase	phase	NOUN
cana-1222	117	5	,	,	PUNCT
cana-1222	117	6	the	the	DET
cana-1222	117	7	model	model	NOUN
cana-1222	117	8	is	be	AUX
cana-1222	117	9	adjusted	adjust	VERB
cana-1222	117	10	to	to	ADP
cana-1222	117	11	the	the	DET
cana-1222	117	12	satellite	satellite	NOUN
cana-1222	117	13	image	image	NOUN
cana-1222	117	14	communications	communication	NOUN
cana-1222	117	15	on	on	ADP
cana-1222	117	16	applied	apply	VERB
cana-1222	117	17	nonlinear	nonlinear	ADJ
cana-1222	117	18	analysis	analysis	NOUN
cana-1222	117	19	issn	issn	NOUN
cana-1222	117	20	:	:	PUNCT
cana-1222	117	21	1074	1074	NUM
cana-1222	117	22	-	-	PUNCT
cana-1222	117	23	133x	133x	NUM
cana-1222	117	24	vol	vol	NOUN
cana-1222	117	25	31	31	NUM
cana-1222	117	26	no	no	NOUN
cana-1222	117	27	.	.	PUNCT
cana-1222	118	1	6s	6s	NUM
cana-1222	118	2	(	(	PUNCT
cana-1222	118	3	2024	2024	NUM
cana-1222	118	4	)	)	PUNCT
cana-1222	118	5	286	286	NUM
cana-1222	118	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1222	118	7	dataset	dataset	VERB
cana-1222	118	8	by	by	ADP
cana-1222	118	9	utilizing	utilize	VERB
cana-1222	118	10	backpropagation	backpropagation	NOUN
cana-1222	118	11	to	to	PART
cana-1222	118	12	optimize	optimize	VERB
cana-1222	118	13	internal	internal	ADJ
cana-1222	118	14	parameters	parameter	NOUN
cana-1222	118	15	over	over	ADP
cana-1222	118	16	a	a	DET
cana-1222	118	17	defined	define	VERB
cana-1222	118	18	number	number	NOUN
cana-1222	118	19	of	of	ADP
cana-1222	118	20	epochs	epoch	NOUN
cana-1222	118	21	.	.	PUNCT
cana-1222	119	1	following	follow	VERB
cana-1222	119	2	the	the	DET
cana-1222	119	3	training	training	NOUN
cana-1222	119	4	process	process	NOUN
cana-1222	119	5	,	,	PUNCT
cana-1222	119	6	the	the	DET
cana-1222	119	7	model	model	NOUN
cana-1222	119	8	is	be	AUX
cana-1222	119	9	assessed	assess	VERB
cana-1222	119	10	on	on	ADP
cana-1222	119	11	an	an	DET
cana-1222	119	12	independent	independent	ADJ
cana-1222	119	13	test	test	NOUN
cana-1222	119	14	set	set	VERB
cana-1222	119	15	to	to	PART
cana-1222	119	16	measure	measure	VERB
cana-1222	119	17	its	its	PRON
cana-1222	119	18	performance	performance	NOUN
cana-1222	119	19	metrics	metric	NOUN
cana-1222	119	20	.	.	PUNCT
cana-1222	120	1	ultimately	ultimately	ADV
cana-1222	120	2	,	,	PUNCT
cana-1222	120	3	the	the	DET
cana-1222	120	4	well	well	ADV
cana-1222	120	5	-	-	PUNCT
cana-1222	120	6	trained	train	VERB
cana-1222	120	7	model	model	NOUN
cana-1222	120	8	has	have	VERB
cana-1222	120	9	the	the	DET
cana-1222	120	10	ability	ability	NOUN
cana-1222	120	11	to	to	PART
cana-1222	120	12	generate	generate	VERB
cana-1222	120	13	predictions	prediction	NOUN
cana-1222	120	14	on	on	ADP
cana-1222	120	15	novel	novel	ADJ
cana-1222	120	16	satellite	satellite	NOUN
cana-1222	120	17	photos	photo	NOUN
cana-1222	120	18	,	,	PUNCT
cana-1222	120	19	providing	provide	VERB
cana-1222	120	20	a	a	DET
cana-1222	120	21	flexible	flexible	ADJ
cana-1222	120	22	tool	tool	NOUN
cana-1222	120	23	for	for	ADP
cana-1222	120	24	tasks	task	NOUN
cana-1222	120	25	involving	involve	VERB
cana-1222	120	26	the	the	DET
cana-1222	120	27	categorization	categorization	NOUN
cana-1222	120	28	of	of	ADP
cana-1222	120	29	images	image	NOUN
cana-1222	120	30	in	in	ADP
cana-1222	120	31	the	the	DET
cana-1222	120	32	field	field	NOUN
cana-1222	120	33	of	of	ADP
cana-1222	120	34	remote	remote	ADJ
cana-1222	120	35	sensing	sensing	NOUN
cana-1222	120	36	and	and	CCONJ
cana-1222	120	37	analysis	analysis	NOUN
cana-1222	120	38	of	of	ADP
cana-1222	120	39	satellite	satellite	NOUN
cana-1222	120	40	data	datum	NOUN
cana-1222	120	41	.	.	PUNCT
cana-1222	121	1	the	the	DET
cana-1222	121	2	modified	modify	VERB
cana-1222	121	3	vgg16	vgg16	NOUN
cana-1222	121	4	classification	classification	NOUN
cana-1222	121	5	on	on	ADP
cana-1222	121	6	the	the	DET
cana-1222	121	7	million	million	NUM
cana-1222	121	8	-	-	PUNCT
cana-1222	121	9	aid	aid	NOUN
cana-1222	121	10	dataset	dataset	NOUN
cana-1222	121	11	for	for	ADP
cana-1222	121	12	remote	remote	ADJ
cana-1222	121	13	sensing	sensing	NOUN
cana-1222	121	14	(	(	PUNCT
cana-1222	121	15	rs	rs	NOUN
cana-1222	121	16	)	)	PUNCT
cana-1222	121	17	image	image	NOUN
cana-1222	121	18	scene	scene	NOUN
cana-1222	121	19	classification	classification	NOUN
cana-1222	121	20	,	,	PUNCT
cana-1222	121	21	we	we	PRON
cana-1222	121	22	can	can	AUX
cana-1222	121	23	adapt	adapt	VERB
cana-1222	121	24	the	the	DET
cana-1222	121	25	standard	standard	ADJ
cana-1222	121	26	vgg16	vgg16	NOUN
cana-1222	121	27	architecture	architecture	NOUN
cana-1222	121	28	by	by	ADP
cana-1222	121	29	introducing	introduce	VERB
cana-1222	121	30	modifications	modification	NOUN
cana-1222	121	31	to	to	ADP
cana-1222	121	32	the	the	DET
cana-1222	121	33	original	original	ADJ
cana-1222	121	34	model	model	NOUN
cana-1222	121	35	.	.	PUNCT
cana-1222	122	1	below	below	ADV
cana-1222	122	2	is	be	AUX
cana-1222	122	3	a	a	DET
cana-1222	122	4	simplified	simplified	ADJ
cana-1222	122	5	representation	representation	NOUN
cana-1222	122	6	of	of	ADP
cana-1222	122	7	the	the	DET
cana-1222	122	8	modified	modify	VERB
cana-1222	122	9	vgg16	vgg16	NOUN
cana-1222	122	10	model	model	NOUN
cana-1222	122	11	.	.	PUNCT
cana-1222	123	1	let	let	VERB
cana-1222	123	2	x	x	PRON
cana-1222	123	3	be	be	AUX
cana-1222	123	4	the	the	DET
cana-1222	123	5	input	input	NOUN
cana-1222	123	6	image	image	NOUN
cana-1222	123	7	data	datum	NOUN
cana-1222	123	8	,	,	PUNCT
cana-1222	123	9	y	y	PROPN
cana-1222	123	10	be	be	VERB
cana-1222	123	11	the	the	DET
cana-1222	123	12	corresponding	corresponding	ADJ
cana-1222	123	13	label	label	NOUN
cana-1222	123	14	vector	vector	NOUN
cana-1222	123	15	representing	represent	VERB
cana-1222	123	16	the	the	DET
cana-1222	123	17	target	target	NOUN
cana-1222	123	18	classes	class	NOUN
cana-1222	123	19	for	for	ADP
cana-1222	123	20	the	the	DET
cana-1222	123	21	images	image	NOUN
cana-1222	123	22	,	,	PUNCT
cana-1222	123	23	w(l	w(l	PROPN
cana-1222	123	24	)	)	PUNCT
cana-1222	123	25	and	and	CCONJ
cana-1222	123	26	b(l	b(l	PROPN
cana-1222	123	27	)	)	PUNCT
cana-1222	123	28	be	be	AUX
cana-1222	123	29	the	the	DET
cana-1222	123	30	weights	weight	NOUN
cana-1222	123	31	and	and	CCONJ
cana-1222	123	32	biases	bias	NOUN
cana-1222	123	33	of	of	ADP
cana-1222	123	34	layer	layer	NOUN
cana-1222	123	35	l	l	NOUN
cana-1222	123	36	,	,	PUNCT
cana-1222	123	37	f(l	f(l	PROPN
cana-1222	123	38	)	)	PUNCT
cana-1222	123	39	be	be	VERB
cana-1222	123	40	the	the	DET
cana-1222	123	41	activation	activation	NOUN
cana-1222	123	42	function	function	NOUN
cana-1222	123	43	of	of	ADP
cana-1222	123	44	layer	layer	NOUN
cana-1222	123	45	l	l	NOUN
cana-1222	123	46	,	,	PUNCT
cana-1222	123	47	and	and	CCONJ
cana-1222	123	48	m	m	AUX
cana-1222	123	49	be	be	VERB
cana-1222	123	50	the	the	DET
cana-1222	123	51	modified	modified	ADJ
cana-1222	123	52	vgg16	vgg16	NOUN
cana-1222	123	53	model	model	NOUN
cana-1222	123	54	.	.	PUNCT
cana-1222	124	1	the	the	DET
cana-1222	124	2	mathematical	mathematical	ADJ
cana-1222	124	3	model	model	NOUN
cana-1222	124	4	for	for	ADP
cana-1222	124	5	the	the	DET
cana-1222	124	6	modified	modify	VERB
cana-1222	124	7	vgg16	vgg16	NOUN
cana-1222	124	8	classification	classification	NOUN
cana-1222	124	9	can	can	AUX
cana-1222	124	10	be	be	AUX
cana-1222	124	11	represented	represent	VERB
cana-1222	124	12	as	as	SCONJ
cana-1222	124	13	follows	follow	VERB
cana-1222	124	14	:	:	PUNCT
cana-1222	124	15	input	input	NOUN
cana-1222	124	16	layer	layer	NOUN
cana-1222	124	17	:	:	PUNCT
cana-1222	124	18	the	the	DET
cana-1222	124	19	input	input	NOUN
cana-1222	124	20	layer	layer	NOUN
cana-1222	124	21	of	of	ADP
cana-1222	124	22	the	the	DET
cana-1222	124	23	vgg16	vgg16	NOUN
cana-1222	124	24	-	-	PUNCT
cana-1222	124	25	based	base	VERB
cana-1222	124	26	satellite	satellite	NOUN
cana-1222	124	27	image	image	NOUN
cana-1222	124	28	classification	classification	NOUN
cana-1222	124	29	model	model	NOUN
cana-1222	124	30	receives	receive	VERB
cana-1222	124	31	the	the	DET
cana-1222	124	32	satellite	satellite	NOUN
cana-1222	124	33	image	image	NOUN
cana-1222	124	34	data	datum	NOUN
cana-1222	124	35	,	,	PUNCT
cana-1222	124	36	represented	represent	VERB
cana-1222	124	37	as	as	ADP
cana-1222	124	38	x.	x.	NOUN
cana-1222	124	39	the	the	DET
cana-1222	124	40	first	first	ADJ
cana-1222	124	41	input	input	NOUN
cana-1222	124	42	consists	consist	VERB
cana-1222	124	43	of	of	ADP
cana-1222	124	44	images	image	NOUN
cana-1222	124	45	,	,	PUNCT
cana-1222	124	46	which	which	PRON
cana-1222	124	47	are	be	AUX
cana-1222	124	48	usually	usually	ADV
cana-1222	124	49	represented	represent	VERB
cana-1222	124	50	as	as	ADP
cana-1222	124	51	three	three	NUM
cana-1222	124	52	-	-	PUNCT
cana-1222	124	53	dimensional	dimensional	ADJ
cana-1222	124	54	arrays	array	NOUN
cana-1222	124	55	.	.	PUNCT
cana-1222	125	1	these	these	DET
cana-1222	125	2	arrays	array	VERB
cana-1222	125	3	have	have	VERB
cana-1222	125	4	dimensions	dimension	NOUN
cana-1222	125	5	that	that	PRON
cana-1222	125	6	correspond	correspond	VERB
cana-1222	125	7	to	to	ADP
cana-1222	125	8	height	height	NOUN
cana-1222	125	9	,	,	PUNCT
cana-1222	125	10	breadth	breadth	NOUN
cana-1222	125	11	,	,	PUNCT
cana-1222	125	12	and	and	CCONJ
cana-1222	125	13	channels	channel	NOUN
cana-1222	125	14	(	(	PUNCT
cana-1222	125	15	such	such	ADJ
cana-1222	125	16	as	as	ADP
cana-1222	125	17	rgb	rgb	PROPN
cana-1222	125	18	channels	channel	NOUN
cana-1222	125	19	)	)	PUNCT
cana-1222	125	20	.	.	PUNCT
cana-1222	126	1	the	the	DET
cana-1222	126	2	input	input	NOUN
cana-1222	126	3	layer	layer	NOUN
cana-1222	126	4	serves	serve	VERB
cana-1222	126	5	as	as	ADP
cana-1222	126	6	the	the	DET
cana-1222	126	7	initial	initial	ADJ
cana-1222	126	8	stage	stage	NOUN
cana-1222	126	9	of	of	ADP
cana-1222	126	10	the	the	DET
cana-1222	126	11	neural	neural	ADJ
cana-1222	126	12	network	network	NOUN
cana-1222	126	13	architecture	architecture	NOUN
cana-1222	126	14	,	,	PUNCT
cana-1222	126	15	where	where	SCONJ
cana-1222	126	16	the	the	DET
cana-1222	126	17	unprocessed	unprocessed	ADJ
cana-1222	126	18	pixel	pixel	NOUN
cana-1222	126	19	values	value	NOUN
cana-1222	126	20	of	of	ADP
cana-1222	126	21	satellite	satellite	NOUN
cana-1222	126	22	images	image	NOUN
cana-1222	126	23	are	be	AUX
cana-1222	126	24	introduced	introduce	VERB
cana-1222	126	25	to	to	ADP
cana-1222	126	26	the	the	DET
cana-1222	126	27	following	follow	VERB
cana-1222	126	28	layers	layer	NOUN
cana-1222	126	29	to	to	PART
cana-1222	126	30	extract	extract	VERB
cana-1222	126	31	features	feature	NOUN
cana-1222	126	32	and	and	CCONJ
cana-1222	126	33	perform	perform	VERB
cana-1222	126	34	classification	classification	NOUN
cana-1222	126	35	.	.	PUNCT
cana-1222	127	1	𝐴(0	𝐴(0	X
cana-1222	127	2	)	)	PUNCT
cana-1222	127	3	=	=	NOUN
cana-1222	127	4	𝑋	𝑋	NOUN
cana-1222	127	5	the	the	DET
cana-1222	127	6	convolutional	convolutional	ADJ
cana-1222	127	7	blocks	block	NOUN
cana-1222	127	8	of	of	ADP
cana-1222	127	9	the	the	DET
cana-1222	127	10	vgg16	vgg16	NOUN
cana-1222	127	11	model	model	NOUN
cana-1222	127	12	consist	consist	NOUN
cana-1222	127	13	of	of	ADP
cana-1222	127	14	a	a	DET
cana-1222	127	15	sequence	sequence	NOUN
cana-1222	127	16	of	of	ADP
cana-1222	127	17	convolutional	convolutional	ADJ
cana-1222	127	18	layers	layer	NOUN
cana-1222	127	19	arranged	arrange	VERB
cana-1222	127	20	in	in	ADP
cana-1222	127	21	a	a	DET
cana-1222	127	22	hierarchical	hierarchical	ADJ
cana-1222	127	23	structure	structure	NOUN
cana-1222	127	24	.	.	PUNCT
cana-1222	128	1	every	every	DET
cana-1222	128	2	block	block	NOUN
cana-1222	128	3	comprises	comprise	VERB
cana-1222	128	4	several	several	ADJ
cana-1222	128	5	convolutional	convolutional	ADJ
cana-1222	128	6	layers	layer	NOUN
cana-1222	128	7	,	,	PUNCT
cana-1222	128	8	which	which	PRON
cana-1222	128	9	are	be	AUX
cana-1222	128	10	subsequently	subsequently	ADV
cana-1222	128	11	followed	follow	VERB
cana-1222	128	12	by	by	ADP
cana-1222	128	13	max	max	PROPN
cana-1222	128	14	-	-	PUNCT
cana-1222	128	15	pooling	pool	VERB
cana-1222	128	16	layers	layer	NOUN
cana-1222	128	17	.	.	PUNCT
cana-1222	129	1	the	the	DET
cana-1222	129	2	convolutional	convolutional	ADJ
cana-1222	129	3	layers	layer	NOUN
cana-1222	129	4	extract	extract	VERB
cana-1222	129	5	hierarchical	hierarchical	ADJ
cana-1222	129	6	information	information	NOUN
cana-1222	129	7	at	at	ADP
cana-1222	129	8	various	various	ADJ
cana-1222	129	9	scales	scale	NOUN
cana-1222	129	10	,	,	PUNCT
cana-1222	129	11	while	while	SCONJ
cana-1222	129	12	the	the	DET
cana-1222	129	13	max	max	PROPN
cana-1222	129	14	-	-	PUNCT
cana-1222	129	15	pooling	pool	VERB
cana-1222	129	16	layers	layer	NOUN
cana-1222	129	17	decrease	decrease	VERB
cana-1222	129	18	spatial	spatial	ADJ
cana-1222	129	19	dimensions	dimension	NOUN
cana-1222	129	20	,	,	PUNCT
cana-1222	129	21	hence	hence	ADV
cana-1222	129	22	enhancing	enhance	VERB
cana-1222	129	23	translation	translation	NOUN
cana-1222	129	24	invariance	invariance	NOUN
cana-1222	129	25	.	.	PUNCT
cana-1222	130	1	the	the	DET
cana-1222	130	2	architecture	architecture	NOUN
cana-1222	130	3	utilizes	utilize	VERB
cana-1222	130	4	3x3	3x3	NUM
cana-1222	130	5	convolutions	convolution	NOUN
cana-1222	130	6	with	with	ADP
cana-1222	130	7	narrow	narrow	ADJ
cana-1222	130	8	receptive	receptive	ADJ
cana-1222	130	9	fields	field	NOUN
cana-1222	130	10	to	to	PART
cana-1222	130	11	acquire	acquire	VERB
cana-1222	130	12	intricate	intricate	ADJ
cana-1222	130	13	patterns	pattern	NOUN
cana-1222	130	14	and	and	CCONJ
cana-1222	130	15	correlations	correlation	NOUN
cana-1222	130	16	within	within	ADP
cana-1222	130	17	the	the	DET
cana-1222	130	18	satellite	satellite	NOUN
cana-1222	130	19	photos	photo	NOUN
cana-1222	130	20	.	.	PUNCT
cana-1222	131	1	the	the	DET
cana-1222	131	2	convolutional	convolutional	ADJ
cana-1222	131	3	blocks	block	NOUN
cana-1222	131	4	are	be	AUX
cana-1222	131	5	essential	essential	ADJ
cana-1222	131	6	for	for	ADP
cana-1222	131	7	automatically	automatically	ADV
cana-1222	131	8	extracting	extract	VERB
cana-1222	131	9	advanced	advanced	ADJ
cana-1222	131	10	features	feature	NOUN
cana-1222	131	11	,	,	PUNCT
cana-1222	131	12	like	like	ADP
cana-1222	131	13	as	as	ADP
cana-1222	131	14	edges	edge	NOUN
cana-1222	131	15	,	,	PUNCT
cana-1222	131	16	textures	texture	NOUN
cana-1222	131	17	,	,	PUNCT
cana-1222	131	18	and	and	CCONJ
cana-1222	131	19	forms	form	NOUN
cana-1222	131	20	,	,	PUNCT
cana-1222	131	21	from	from	ADP
cana-1222	131	22	the	the	DET
cana-1222	131	23	input	input	NOUN
cana-1222	131	24	satellite	satellite	NOUN
cana-1222	131	25	images	image	NOUN
cana-1222	131	26	.	.	PUNCT
cana-1222	132	1	for	for	ADP
cana-1222	132	2	the	the	DET
cana-1222	132	3	convolutional	convolutional	ADJ
cana-1222	132	4	block	block	NOUN
cana-1222	132	5	l	l	NOUN
cana-1222	132	6	,	,	PUNCT
cana-1222	132	7	layer	layer	NOUN
cana-1222	132	8	nl	nl	NOUN
cana-1222	132	9	,	,	PUNCT
cana-1222	132	10	and	and	CCONJ
cana-1222	132	11	each	each	DET
cana-1222	132	12	layer	layer	NOUN
cana-1222	132	13	i	i	PRON
cana-1222	132	14	is	be	AUX
cana-1222	132	15	𝑍(𝑙,𝑖	𝑍(𝑙,𝑖	ADJ
cana-1222	132	16	)	)	PUNCT
cana-1222	132	17	=	=	SYM
cana-1222	132	18	𝑊(𝑙.𝑖	𝑊(𝑙.𝑖	PROPN
cana-1222	132	19	)	)	PUNCT
cana-1222	132	20	×	×	NOUN
cana-1222	132	21	𝐴(𝑙,𝑖−1	𝐴(𝑙,𝑖−1	NOUN
cana-1222	132	22	)	)	PUNCT
cana-1222	133	1	+	+	NUM
cana-1222	133	2	𝑏(𝑙,𝑖	𝑏(𝑙,𝑖	NOUN
cana-1222	133	3	)	)	PUNCT
cana-1222	133	4	𝐴(𝑙,𝑖	𝐴(𝑙,𝑖	NOUN
cana-1222	133	5	)	)	PUNCT
cana-1222	133	6	=	=	SYM
cana-1222	133	7	𝑓(𝑙,𝑖)(𝑍(𝑙,𝑖	𝑓(𝑙,𝑖)(𝑍(𝑙,𝑖	NOUN
cana-1222	133	8	)	)	PUNCT
cana-1222	133	9	)	)	PUNCT
cana-1222	134	1	where	where	SCONJ
cana-1222	134	2	𝐴(𝑙	𝐴(𝑙	ADP
cana-1222	134	3	)	)	PUNCT
cana-1222	134	4	is	be	AUX
cana-1222	134	5	the	the	DET
cana-1222	134	6	output	output	NOUN
cana-1222	134	7	of	of	ADP
cana-1222	134	8	the	the	DET
cana-1222	134	9	final	final	ADJ
cana-1222	134	10	convolution	convolution	NOUN
cana-1222	134	11	layer	layer	NOUN
cana-1222	134	12	in	in	ADP
cana-1222	134	13	the	the	DET
cana-1222	134	14	lth	lth	NOUN
cana-1222	134	15	block	block	NOUN
cana-1222	134	16	.	.	PUNCT
cana-1222	135	1	flatten	flatten	ADJ
cana-1222	135	2	layer	layer	NOUN
cana-1222	135	3	:	:	PUNCT
cana-1222	135	4	the	the	DET
cana-1222	135	5	flatten	flatten	ADJ
cana-1222	135	6	layer	layer	NOUN
cana-1222	135	7	acts	act	VERB
cana-1222	135	8	as	as	ADP
cana-1222	135	9	an	an	DET
cana-1222	135	10	intermediary	intermediary	NOUN
cana-1222	135	11	between	between	ADP
cana-1222	135	12	the	the	DET
cana-1222	135	13	convolutional	convolutional	ADJ
cana-1222	135	14	and	and	CCONJ
cana-1222	135	15	fully	fully	ADV
cana-1222	135	16	linked	link	VERB
cana-1222	135	17	layers	layer	NOUN
cana-1222	135	18	.	.	PUNCT
cana-1222	136	1	following	follow	VERB
cana-1222	136	2	the	the	DET
cana-1222	136	3	convolutional	convolutional	ADJ
cana-1222	136	4	blocks	block	NOUN
cana-1222	136	5	,	,	PUNCT
cana-1222	136	6	the	the	DET
cana-1222	136	7	multi	multi	ADJ
cana-1222	136	8	-	-	ADJ
cana-1222	136	9	dimensional	dimensional	ADJ
cana-1222	136	10	output	output	NOUN
cana-1222	136	11	from	from	ADP
cana-1222	136	12	the	the	DET
cana-1222	136	13	final	final	ADJ
cana-1222	136	14	convolutional	convolutional	ADJ
cana-1222	136	15	layer	layer	NOUN
cana-1222	136	16	is	be	AUX
cana-1222	136	17	transformed	transform	VERB
cana-1222	136	18	into	into	ADP
cana-1222	136	19	a	a	DET
cana-1222	136	20	one	one	NUM
cana-1222	136	21	-	-	PUNCT
cana-1222	136	22	dimensional	dimensional	ADJ
cana-1222	136	23	vector	vector	NOUN
cana-1222	136	24	,	,	PUNCT
cana-1222	136	25	resulting	result	VERB
cana-1222	136	26	in	in	ADP
cana-1222	136	27	flattened	flatten	VERB
cana-1222	136	28	features	feature	NOUN
cana-1222	136	29	.	.	PUNCT
cana-1222	137	1	this	this	DET
cana-1222	137	2	technique	technique	NOUN
cana-1222	137	3	maintains	maintain	VERB
cana-1222	137	4	the	the	DET
cana-1222	137	5	extracted	extract	VERB
cana-1222	137	6	spatial	spatial	ADJ
cana-1222	137	7	characteristics	characteristic	NOUN
cana-1222	137	8	while	while	SCONJ
cana-1222	137	9	preparing	prepare	VERB
cana-1222	137	10	the	the	DET
cana-1222	137	11	data	datum	NOUN
cana-1222	137	12	for	for	ADP
cana-1222	137	13	input	input	NOUN
cana-1222	137	14	into	into	ADP
cana-1222	137	15	the	the	DET
cana-1222	137	16	fully	fully	ADV
cana-1222	137	17	connected	connected	ADJ
cana-1222	137	18	layers	layer	NOUN
cana-1222	137	19	.	.	PUNCT
cana-1222	138	1	the	the	DET
cana-1222	138	2	flattened	flatten	VERB
cana-1222	138	3	features	feature	NOUN
cana-1222	138	4	,	,	PUNCT
cana-1222	138	5	referred	refer	VERB
cana-1222	138	6	to	to	ADP
cana-1222	138	7	as	as	SCONJ
cana-1222	138	8	aflatten	aflatten	VERB
cana-1222	138	9	,	,	PUNCT
cana-1222	138	10	act	act	VERB
cana-1222	138	11	as	as	ADP
cana-1222	138	12	a	a	DET
cana-1222	138	13	condensed	condense	VERB
cana-1222	138	14	representation	representation	NOUN
cana-1222	138	15	of	of	ADP
cana-1222	138	16	the	the	DET
cana-1222	138	17	spatial	spatial	ADJ
cana-1222	138	18	information	information	NOUN
cana-1222	138	19	acquired	acquire	VERB
cana-1222	138	20	by	by	ADP
cana-1222	138	21	the	the	DET
cana-1222	138	22	convolutional	convolutional	ADJ
cana-1222	138	23	layers	layer	NOUN
cana-1222	138	24	.	.	PUNCT
cana-1222	139	1	𝐴(𝑓𝑙𝑎𝑡𝑡𝑒𝑛	𝐴(𝑓𝑙𝑎𝑡𝑡𝑒𝑛	NOUN
cana-1222	139	2	)	)	PUNCT
cana-1222	139	3	=	=	SYM
cana-1222	139	4	𝑓𝑙𝑎𝑡𝑡𝑒𝑛(𝐴(𝑙	𝑓𝑙𝑎𝑡𝑡𝑒𝑛(𝐴(𝑙	ADJ
cana-1222	139	5	)	)	PUNCT
cana-1222	139	6	)	)	PUNCT
cana-1222	139	7	communications	communication	NOUN
cana-1222	139	8	on	on	ADP
cana-1222	139	9	applied	apply	VERB
cana-1222	139	10	nonlinear	nonlinear	ADJ
cana-1222	139	11	analysis	analysis	NOUN
cana-1222	139	12	issn	issn	NOUN
cana-1222	139	13	:	:	PUNCT
cana-1222	139	14	1074	1074	NUM
cana-1222	139	15	-	-	PUNCT
cana-1222	139	16	133x	133x	NUM
cana-1222	139	17	vol	vol	NOUN
cana-1222	139	18	31	31	NUM
cana-1222	139	19	no	no	NOUN
cana-1222	139	20	.	.	PUNCT
cana-1222	140	1	6s	6s	NUM
cana-1222	140	2	(	(	PUNCT
cana-1222	140	3	2024	2024	NUM
cana-1222	140	4	)	)	PUNCT
cana-1222	140	5	287	287	NUM
cana-1222	140	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1222	140	7	fully	fully	ADV
cana-1222	140	8	connected	connected	ADJ
cana-1222	140	9	layers	layer	NOUN
cana-1222	140	10	:	:	PUNCT
cana-1222	140	11	the	the	DET
cana-1222	140	12	fully	fully	ADV
cana-1222	140	13	connected	connected	ADJ
cana-1222	140	14	layers	layer	NOUN
cana-1222	140	15	are	be	AUX
cana-1222	140	16	composed	compose	VERB
cana-1222	140	17	of	of	ADP
cana-1222	140	18	densely	densely	ADV
cana-1222	140	19	connected	connect	VERB
cana-1222	140	20	nodes	node	NOUN
cana-1222	140	21	that	that	PRON
cana-1222	140	22	follow	follow	VERB
cana-1222	140	23	the	the	DET
cana-1222	140	24	flattened	flatten	VERB
cana-1222	140	25	features	feature	NOUN
cana-1222	140	26	.	.	PUNCT
cana-1222	141	1	the	the	DET
cana-1222	141	2	presence	presence	NOUN
cana-1222	141	3	of	of	ADP
cana-1222	141	4	these	these	DET
cana-1222	141	5	layers	layer	NOUN
cana-1222	141	6	allows	allow	VERB
cana-1222	141	7	the	the	DET
cana-1222	141	8	model	model	NOUN
cana-1222	141	9	to	to	PART
cana-1222	141	10	acquire	acquire	VERB
cana-1222	141	11	intricate	intricate	ADJ
cana-1222	141	12	connections	connection	NOUN
cana-1222	141	13	between	between	ADP
cana-1222	141	14	the	the	DET
cana-1222	141	15	extracted	extract	VERB
cana-1222	141	16	characteristics	characteristic	NOUN
cana-1222	141	17	and	and	CCONJ
cana-1222	141	18	the	the	DET
cana-1222	141	19	desired	desire	VERB
cana-1222	141	20	categories	category	NOUN
cana-1222	141	21	.	.	PUNCT
cana-1222	142	1	the	the	DET
cana-1222	142	2	weights	weight	NOUN
cana-1222	142	3	w(l	w(l	PROPN
cana-1222	142	4	)	)	PUNCT
cana-1222	142	5	and	and	CCONJ
cana-1222	142	6	biases	bias	NOUN
cana-1222	142	7	b(l	b(l	PROPN
cana-1222	142	8	)	)	PUNCT
cana-1222	142	9	are	be	AUX
cana-1222	142	10	modified	modify	VERB
cana-1222	142	11	during	during	ADP
cana-1222	142	12	training	training	NOUN
cana-1222	142	13	to	to	PART
cana-1222	142	14	accurately	accurately	ADV
cana-1222	142	15	represent	represent	VERB
cana-1222	142	16	complex	complex	ADJ
cana-1222	142	17	patterns	pattern	NOUN
cana-1222	142	18	and	and	CCONJ
cana-1222	142	19	relationships	relationship	NOUN
cana-1222	142	20	within	within	ADP
cana-1222	142	21	the	the	DET
cana-1222	142	22	feature	feature	NOUN
cana-1222	142	23	space	space	NOUN
cana-1222	142	24	.	.	PUNCT
cana-1222	143	1	the	the	DET
cana-1222	143	2	activation	activation	NOUN
cana-1222	143	3	function	function	NOUN
cana-1222	143	4	,	,	PUNCT
cana-1222	143	5	commonly	commonly	ADV
cana-1222	143	6	relu	relu	NOUN
cana-1222	143	7	,	,	PUNCT
cana-1222	143	8	introduces	introduce	VERB
cana-1222	143	9	non	non	ADJ
cana-1222	143	10	-	-	ADJ
cana-1222	143	11	linearity	linearity	ADJ
cana-1222	143	12	,	,	PUNCT
cana-1222	143	13	enabling	enable	VERB
cana-1222	143	14	the	the	DET
cana-1222	143	15	model	model	NOUN
cana-1222	143	16	to	to	PART
cana-1222	143	17	acquire	acquire	VERB
cana-1222	143	18	intricate	intricate	ADJ
cana-1222	143	19	decision	decision	NOUN
cana-1222	143	20	limits	limit	NOUN
cana-1222	143	21	.	.	PUNCT
cana-1222	144	1	the	the	DET
cana-1222	144	2	fully	fully	ADV
cana-1222	144	3	connected	connected	ADJ
cana-1222	144	4	layers	layer	NOUN
cana-1222	144	5	serve	serve	VERB
cana-1222	144	6	as	as	ADP
cana-1222	144	7	an	an	DET
cana-1222	144	8	intermediary	intermediary	NOUN
cana-1222	144	9	connecting	connect	VERB
cana-1222	144	10	the	the	DET
cana-1222	144	11	spatial	spatial	ADJ
cana-1222	144	12	characteristics	characteristic	NOUN
cana-1222	144	13	derived	derive	VERB
cana-1222	144	14	from	from	ADP
cana-1222	144	15	the	the	DET
cana-1222	144	16	convolutional	convolutional	ADJ
cana-1222	144	17	layers	layer	NOUN
cana-1222	144	18	to	to	ADP
cana-1222	144	19	the	the	DET
cana-1222	144	20	ultimate	ultimate	ADJ
cana-1222	144	21	output	output	NOUN
cana-1222	144	22	layer	layer	NOUN
cana-1222	144	23	.	.	PUNCT
cana-1222	145	1	𝑍(𝑙	𝑍(𝑙	X
cana-1222	145	2	)	)	PUNCT
cana-1222	145	3	=	=	PUNCT
cana-1222	145	4	𝑊(𝑙	𝑊(𝑙	PROPN
cana-1222	145	5	)	)	PUNCT
cana-1222	145	6	×	×	NOUN
cana-1222	145	7	𝐴(𝑙−1	𝐴(𝑙−1	NUM
cana-1222	145	8	)	)	PUNCT
cana-1222	145	9	+	+	CCONJ
cana-1222	145	10	𝑏(𝑙	𝑏(𝑙	NOUN
cana-1222	145	11	)	)	PUNCT
cana-1222	145	12	𝐴(𝑙	𝐴(𝑙	ADP
cana-1222	145	13	)	)	PUNCT
cana-1222	145	14	=	=	SYM
cana-1222	145	15	𝑓(𝑙)(𝑍(𝑙	𝑓(𝑙)(𝑍(𝑙	PROPN
cana-1222	145	16	)	)	PUNCT
cana-1222	145	17	)	)	PUNCT
cana-1222	145	18	the	the	DET
cana-1222	145	19	"	"	PUNCT
cana-1222	145	20	compute	compute	NOUN
cana-1222	145	21	loss	loss	NOUN
cana-1222	145	22	"	"	PUNCT
cana-1222	145	23	stage	stage	NOUN
cana-1222	145	24	entails	entail	VERB
cana-1222	145	25	assessing	assess	VERB
cana-1222	145	26	the	the	DET
cana-1222	145	27	model	model	NOUN
cana-1222	145	28	's	's	PART
cana-1222	145	29	performance	performance	NOUN
cana-1222	145	30	by	by	ADP
cana-1222	145	31	calculating	calculate	VERB
cana-1222	145	32	the	the	DET
cana-1222	145	33	disparity	disparity	NOUN
cana-1222	145	34	between	between	ADP
cana-1222	145	35	its	its	PRON
cana-1222	145	36	predictions	prediction	NOUN
cana-1222	145	37	and	and	CCONJ
cana-1222	145	38	the	the	DET
cana-1222	145	39	actual	actual	ADJ
cana-1222	145	40	target	target	NOUN
cana-1222	145	41	labels	label	NOUN
cana-1222	145	42	.	.	PUNCT
cana-1222	146	1	the	the	DET
cana-1222	146	2	categorical	categorical	ADJ
cana-1222	146	3	crossentropy	crossentropy	NOUN
cana-1222	146	4	loss	loss	NOUN
cana-1222	146	5	function	function	NOUN
cana-1222	146	6	is	be	AUX
cana-1222	146	7	frequently	frequently	ADV
cana-1222	146	8	used	use	VERB
cana-1222	146	9	for	for	ADP
cana-1222	146	10	satellite	satellite	NOUN
cana-1222	146	11	image	image	NOUN
cana-1222	146	12	categorization	categorization	NOUN
cana-1222	146	13	with	with	ADP
cana-1222	146	14	the	the	DET
cana-1222	146	15	vgg16	vgg16	NOUN
cana-1222	146	16	model	model	NOUN
cana-1222	146	17	.	.	PUNCT
cana-1222	147	1	this	this	DET
cana-1222	147	2	function	function	NOUN
cana-1222	147	3	computes	compute	VERB
cana-1222	147	4	the	the	DET
cana-1222	147	5	crossentropy	crossentropy	NOUN
cana-1222	147	6	,	,	PUNCT
cana-1222	147	7	which	which	PRON
cana-1222	147	8	represents	represent	VERB
cana-1222	147	9	the	the	DET
cana-1222	147	10	discrepancy	discrepancy	NOUN
cana-1222	147	11	,	,	PUNCT
cana-1222	147	12	between	between	ADP
cana-1222	147	13	the	the	DET
cana-1222	147	14	anticipated	anticipate	VERB
cana-1222	147	15	probability	probability	NOUN
cana-1222	147	16	of	of	ADP
cana-1222	147	17	different	different	ADJ
cana-1222	147	18	classes	class	NOUN
cana-1222	147	19	and	and	CCONJ
cana-1222	147	20	the	the	DET
cana-1222	147	21	actual	actual	ADJ
cana-1222	147	22	labels	label	NOUN
cana-1222	147	23	of	of	ADP
cana-1222	147	24	the	the	DET
cana-1222	147	25	classes	class	NOUN
cana-1222	147	26	.	.	PUNCT
cana-1222	148	1	𝐽(𝑡	𝐽(𝑡	X
cana-1222	148	2	)	)	PUNCT
cana-1222	148	3	=	=	SYM
cana-1222	148	4	𝐽(𝐴(𝑜𝑢𝑡𝑝𝑢𝑡	𝐽(𝐴(𝑜𝑢𝑡𝑝𝑢𝑡	NUM
cana-1222	148	5	)	)	PUNCT
cana-1222	148	6	,	,	PUNCT
cana-1222	148	7	𝑌	𝑌	PROPN
cana-1222	148	8	)	)	PUNCT
cana-1222	148	9	the	the	DET
cana-1222	148	10	objective	objective	NOUN
cana-1222	148	11	during	during	ADP
cana-1222	148	12	training	training	NOUN
cana-1222	148	13	is	be	AUX
cana-1222	148	14	to	to	PART
cana-1222	148	15	minimize	minimize	VERB
cana-1222	148	16	the	the	DET
cana-1222	148	17	loss	loss	NOUN
cana-1222	148	18	,	,	PUNCT
cana-1222	148	19	so	so	ADV
cana-1222	148	20	instructing	instruct	VERB
cana-1222	148	21	the	the	DET
cana-1222	148	22	model	model	NOUN
cana-1222	148	23	to	to	PART
cana-1222	148	24	provide	provide	VERB
cana-1222	148	25	predictions	prediction	NOUN
cana-1222	148	26	that	that	PRON
cana-1222	148	27	are	be	AUX
cana-1222	148	28	more	more	ADV
cana-1222	148	29	precise	precise	ADJ
cana-1222	148	30	.	.	PUNCT
cana-1222	149	1	"	"	PUNCT
cana-1222	149	2	backward	backward	ADJ
cana-1222	149	3	propagation	propagation	NOUN
cana-1222	149	4	"	"	PUNCT
cana-1222	149	5	refers	refer	VERB
cana-1222	149	6	to	to	ADP
cana-1222	149	7	the	the	DET
cana-1222	149	8	procedure	procedure	NOUN
cana-1222	149	9	of	of	ADP
cana-1222	149	10	adjusting	adjust	VERB
cana-1222	149	11	the	the	DET
cana-1222	149	12	model	model	NOUN
cana-1222	149	13	's	's	PART
cana-1222	149	14	parameters	parameter	NOUN
cana-1222	149	15	(	(	PUNCT
cana-1222	149	16	weights	weight	NOUN
cana-1222	149	17	and	and	CCONJ
cana-1222	149	18	biases	bias	NOUN
cana-1222	149	19	)	)	PUNCT
cana-1222	149	20	in	in	ADP
cana-1222	149	21	order	order	NOUN
cana-1222	149	22	to	to	PART
cana-1222	149	23	minimize	minimize	VERB
cana-1222	149	24	the	the	DET
cana-1222	149	25	calculated	calculated	ADJ
cana-1222	149	26	loss	loss	NOUN
cana-1222	149	27	.	.	PUNCT
cana-1222	150	1	the	the	DET
cana-1222	150	2	chain	chain	NOUN
cana-1222	150	3	rule	rule	NOUN
cana-1222	150	4	of	of	ADP
cana-1222	150	5	calculus	calculus	NOUN
cana-1222	150	6	is	be	AUX
cana-1222	150	7	utilized	utilize	VERB
cana-1222	150	8	to	to	PART
cana-1222	150	9	compute	compute	VERB
cana-1222	150	10	the	the	DET
cana-1222	150	11	gradient	gradient	NOUN
cana-1222	150	12	of	of	ADP
cana-1222	150	13	the	the	DET
cana-1222	150	14	loss	loss	NOUN
cana-1222	150	15	with	with	ADP
cana-1222	150	16	respect	respect	NOUN
cana-1222	150	17	to	to	ADP
cana-1222	150	18	each	each	DET
cana-1222	150	19	parameter	parameter	NOUN
cana-1222	150	20	in	in	ADP
cana-1222	150	21	the	the	DET
cana-1222	150	22	model	model	NOUN
cana-1222	150	23	.	.	PUNCT
cana-1222	151	1	the	the	DET
cana-1222	151	2	gradients	gradient	NOUN
cana-1222	151	3	indicate	indicate	VERB
cana-1222	151	4	the	the	DET
cana-1222	151	5	sensitivity	sensitivity	NOUN
cana-1222	151	6	of	of	ADP
cana-1222	151	7	the	the	DET
cana-1222	151	8	loss	loss	NOUN
cana-1222	151	9	function	function	NOUN
cana-1222	151	10	to	to	ADP
cana-1222	151	11	tiny	tiny	ADJ
cana-1222	151	12	changes	change	NOUN
cana-1222	151	13	in	in	ADP
cana-1222	151	14	each	each	DET
cana-1222	151	15	parameter	parameter	NOUN
cana-1222	151	16	.	.	PUNCT
cana-1222	152	1	backpropagation	backpropagation	NOUN
cana-1222	152	2	efficiently	efficiently	ADV
cana-1222	152	3	propagates	propagate	VERB
cana-1222	152	4	these	these	DET
cana-1222	152	5	gradients	gradient	NOUN
cana-1222	152	6	in	in	ADP
cana-1222	152	7	a	a	DET
cana-1222	152	8	reverse	reverse	ADJ
cana-1222	152	9	manner	manner	NOUN
cana-1222	152	10	across	across	ADP
cana-1222	152	11	the	the	DET
cana-1222	152	12	layers	layer	NOUN
cana-1222	152	13	of	of	ADP
cana-1222	152	14	the	the	DET
cana-1222	152	15	model	model	NOUN
cana-1222	152	16	,	,	PUNCT
cana-1222	152	17	enabling	enable	VERB
cana-1222	152	18	the	the	DET
cana-1222	152	19	model	model	NOUN
cana-1222	152	20	to	to	PART
cana-1222	152	21	comprehend	comprehend	VERB
cana-1222	152	22	the	the	DET
cana-1222	152	23	impact	impact	NOUN
cana-1222	152	24	of	of	ADP
cana-1222	152	25	each	each	DET
cana-1222	152	26	parameter	parameter	NOUN
cana-1222	152	27	on	on	ADP
cana-1222	152	28	the	the	DET
cana-1222	152	29	total	total	ADJ
cana-1222	152	30	loss	loss	NOUN
cana-1222	152	31	.	.	PUNCT
cana-1222	153	1	the	the	DET
cana-1222	153	2	model	model	NOUN
cana-1222	153	3	subsequently	subsequently	ADV
cana-1222	153	4	modifies	modify	VERB
cana-1222	153	5	its	its	PRON
cana-1222	153	6	parameters	parameter	NOUN
cana-1222	153	7	in	in	ADP
cana-1222	153	8	the	the	DET
cana-1222	153	9	opposite	opposite	ADJ
cana-1222	153	10	direction	direction	NOUN
cana-1222	153	11	as	as	ADP
cana-1222	153	12	the	the	DET
cana-1222	153	13	gradients	gradient	NOUN
cana-1222	153	14	,	,	PUNCT
cana-1222	153	15	with	with	ADP
cana-1222	153	16	the	the	DET
cana-1222	153	17	objective	objective	NOUN
cana-1222	153	18	of	of	ADP
cana-1222	153	19	minimizing	minimize	VERB
cana-1222	153	20	the	the	DET
cana-1222	153	21	loss	loss	NOUN
cana-1222	153	22	.	.	PUNCT
cana-1222	154	1	𝜕𝐽	𝜕𝐽	NOUN
cana-1222	154	2	𝜕𝑊(𝑙	𝜕𝑊(𝑙	NOUN
cana-1222	154	3	)	)	PUNCT
cana-1222	154	4	,	,	PUNCT
cana-1222	154	5	𝜕𝐽	𝜕𝐽	PROPN
cana-1222	154	6	𝜕𝑏(𝑙	𝜕𝑏(𝑙	PROPN
cana-1222	154	7	)	)	PUNCT
cana-1222	154	8	the	the	DET
cana-1222	154	9	"	"	PUNCT
cana-1222	154	10	update	update	NOUN
cana-1222	154	11	parameters	parameter	NOUN
cana-1222	154	12	"	"	PUNCT
cana-1222	154	13	stage	stage	NOUN
cana-1222	154	14	involves	involve	VERB
cana-1222	154	15	adjusting	adjust	VERB
cana-1222	154	16	the	the	DET
cana-1222	154	17	weights	weight	NOUN
cana-1222	154	18	and	and	CCONJ
cana-1222	154	19	biases	bias	NOUN
cana-1222	154	20	of	of	ADP
cana-1222	154	21	the	the	DET
cana-1222	154	22	model	model	NOUN
cana-1222	154	23	using	use	VERB
cana-1222	154	24	the	the	DET
cana-1222	154	25	gradients	gradient	NOUN
cana-1222	154	26	calculated	calculate	VERB
cana-1222	154	27	during	during	ADP
cana-1222	154	28	backward	backward	ADJ
cana-1222	154	29	propagation	propagation	NOUN
cana-1222	154	30	.	.	PUNCT
cana-1222	155	1	the	the	DET
cana-1222	155	2	optimization	optimization	NOUN
cana-1222	155	3	algorithm	algorithm	NOUN
cana-1222	155	4	,	,	PUNCT
cana-1222	155	5	such	such	ADJ
cana-1222	155	6	as	as	ADP
cana-1222	155	7	adam	adam	PROPN
cana-1222	155	8	,	,	PUNCT
cana-1222	155	9	is	be	AUX
cana-1222	155	10	employed	employ	VERB
cana-1222	155	11	to	to	PART
cana-1222	155	12	ascertain	ascertain	VERB
cana-1222	155	13	the	the	DET
cana-1222	155	14	magnitude	magnitude	NOUN
cana-1222	155	15	and	and	CCONJ
cana-1222	155	16	orientation	orientation	NOUN
cana-1222	155	17	of	of	ADP
cana-1222	155	18	the	the	DET
cana-1222	155	19	parameter	parameter	NOUN
cana-1222	155	20	updates	update	VERB
cana-1222	155	21	.	.	PUNCT
cana-1222	156	1	the	the	DET
cana-1222	156	2	learning	learning	NOUN
cana-1222	156	3	rate	rate	NOUN
cana-1222	156	4	(	(	PUNCT
cana-1222	156	5	α	α	NOUN
cana-1222	156	6	)	)	PUNCT
cana-1222	156	7	determines	determine	VERB
cana-1222	156	8	the	the	DET
cana-1222	156	9	magnitude	magnitude	NOUN
cana-1222	156	10	of	of	ADP
cana-1222	156	11	these	these	DET
cana-1222	156	12	updates	update	NOUN
cana-1222	156	13	.	.	PUNCT
cana-1222	157	1	the	the	DET
cana-1222	157	2	update	update	NOUN
cana-1222	157	3	rule	rule	NOUN
cana-1222	157	4	can	can	AUX
cana-1222	157	5	be	be	AUX
cana-1222	157	6	stated	state	VERB
cana-1222	157	7	as	as	ADP
cana-1222	157	8	𝑊(𝑙	𝑊(𝑙	NOUN
cana-1222	157	9	)	)	PUNCT
cana-1222	157	10	=	=	SYM
cana-1222	157	11	𝑊(𝑙	𝑊(𝑙	PROPN
cana-1222	157	12	)	)	PUNCT
cana-1222	157	13	−	−	PROPN
cana-1222	157	14	𝛼	𝛼	NOUN
cana-1222	157	15	𝜕𝐽	𝜕𝐽	NOUN
cana-1222	157	16	𝜕𝑊(𝑙	𝜕𝑊(𝑙	NOUN
cana-1222	157	17	)	)	PUNCT
cana-1222	157	18	𝑏(𝑙	𝑏(𝑙	PROPN
cana-1222	157	19	)	)	PUNCT
cana-1222	158	1	=	=	SYM
cana-1222	158	2	𝑏(𝑙	𝑏(𝑙	ADJ
cana-1222	158	3	)	)	PUNCT
cana-1222	158	4	−	−	PROPN
cana-1222	158	5	𝛼	𝛼	NUM
cana-1222	158	6	𝜕𝐽	𝜕𝐽	PROPN
cana-1222	158	7	𝜕𝑏(𝑙	𝜕𝑏(𝑙	PROPN
cana-1222	158	8	)	)	PUNCT
cana-1222	158	9	the	the	DET
cana-1222	158	10	iterative	iterative	NOUN
cana-1222	158	11	procedure	procedure	NOUN
cana-1222	158	12	facilitates	facilitate	VERB
cana-1222	158	13	the	the	DET
cana-1222	158	14	model	model	NOUN
cana-1222	158	15	's	's	PART
cana-1222	158	16	convergence	convergence	NOUN
cana-1222	158	17	towards	towards	ADP
cana-1222	158	18	optimal	optimal	ADJ
cana-1222	158	19	parameter	parameter	NOUN
cana-1222	158	20	values	value	NOUN
cana-1222	158	21	that	that	PRON
cana-1222	158	22	minimize	minimize	VERB
cana-1222	158	23	the	the	DET
cana-1222	158	24	loss	loss	NOUN
cana-1222	158	25	function	function	NOUN
cana-1222	158	26	.	.	PUNCT
cana-1222	159	1	output	output	NOUN
cana-1222	159	2	layer	layer	NOUN
cana-1222	159	3	:	:	PUNCT
cana-1222	159	4	the	the	DET
cana-1222	159	5	output	output	NOUN
cana-1222	159	6	layer	layer	NOUN
cana-1222	159	7	is	be	AUX
cana-1222	159	8	the	the	DET
cana-1222	159	9	ultimate	ultimate	ADJ
cana-1222	159	10	layer	layer	NOUN
cana-1222	159	11	that	that	PRON
cana-1222	159	12	generates	generate	VERB
cana-1222	159	13	the	the	DET
cana-1222	159	14	model	model	NOUN
cana-1222	159	15	's	's	PART
cana-1222	159	16	predictions	prediction	NOUN
cana-1222	159	17	.	.	PUNCT
cana-1222	160	1	when	when	SCONJ
cana-1222	160	2	classifying	classify	VERB
cana-1222	160	3	satellite	satellite	NOUN
cana-1222	160	4	images	image	NOUN
cana-1222	160	5	,	,	PUNCT
cana-1222	160	6	the	the	DET
cana-1222	160	7	output	output	NOUN
cana-1222	160	8	layer	layer	NOUN
cana-1222	160	9	commonly	commonly	ADV
cana-1222	160	10	uses	use	VERB
cana-1222	160	11	the	the	DET
cana-1222	160	12	softmax	softmax	NOUN
cana-1222	160	13	activation	activation	NOUN
cana-1222	160	14	function	function	VERB
cana-1222	160	15	to	to	PART
cana-1222	160	16	calculate	calculate	VERB
cana-1222	160	17	probabilities	probability	NOUN
cana-1222	160	18	for	for	ADP
cana-1222	160	19	each	each	DET
cana-1222	160	20	class	class	NOUN
cana-1222	160	21	.	.	PUNCT
cana-1222	161	1	the	the	DET
cana-1222	161	2	number	number	NOUN
cana-1222	161	3	of	of	ADP
cana-1222	161	4	nodes	node	NOUN
cana-1222	161	5	in	in	ADP
cana-1222	161	6	the	the	DET
cana-1222	161	7	output	output	NOUN
cana-1222	161	8	layer	layer	NOUN
cana-1222	161	9	is	be	AUX
cana-1222	161	10	directly	directly	ADV
cana-1222	161	11	proportional	proportional	ADJ
cana-1222	161	12	communications	communication	NOUN
cana-1222	161	13	on	on	ADP
cana-1222	161	14	applied	apply	VERB
cana-1222	161	15	nonlinear	nonlinear	ADJ
cana-1222	161	16	analysis	analysis	NOUN
cana-1222	161	17	issn	issn	NOUN
cana-1222	161	18	:	:	PUNCT
cana-1222	161	19	1074	1074	NUM
cana-1222	161	20	-	-	PUNCT
cana-1222	161	21	133x	133x	NUM
cana-1222	161	22	vol	vol	NOUN
cana-1222	161	23	31	31	NUM
cana-1222	161	24	no	no	NOUN
cana-1222	161	25	.	.	PUNCT
cana-1222	162	1	6s	6s	NUM
cana-1222	162	2	(	(	PUNCT
cana-1222	162	3	2024	2024	NUM
cana-1222	162	4	)	)	PUNCT
cana-1222	162	5	288	288	NUM
cana-1222	162	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1222	162	7	to	to	ADP
cana-1222	162	8	the	the	DET
cana-1222	162	9	number	number	NOUN
cana-1222	162	10	of	of	ADP
cana-1222	162	11	classes	class	NOUN
cana-1222	162	12	involved	involve	VERB
cana-1222	162	13	in	in	ADP
cana-1222	162	14	the	the	DET
cana-1222	162	15	classification	classification	NOUN
cana-1222	162	16	task	task	NOUN
cana-1222	162	17	.	.	PUNCT
cana-1222	163	1	the	the	DET
cana-1222	163	2	ultimate	ultimate	ADJ
cana-1222	163	3	forecast	forecast	NOUN
cana-1222	163	4	of	of	ADP
cana-1222	163	5	the	the	DET
cana-1222	163	6	model	model	NOUN
cana-1222	163	7	is	be	AUX
cana-1222	163	8	determined	determine	VERB
cana-1222	163	9	by	by	ADP
cana-1222	163	10	the	the	DET
cana-1222	163	11	class	class	NOUN
cana-1222	163	12	that	that	PRON
cana-1222	163	13	possesses	possess	VERB
cana-1222	163	14	the	the	DET
cana-1222	163	15	greatest	great	ADJ
cana-1222	163	16	likelihood	likelihood	NOUN
cana-1222	163	17	.	.	PUNCT
cana-1222	164	1	during	during	ADP
cana-1222	164	2	the	the	DET
cana-1222	164	3	training	training	NOUN
cana-1222	164	4	phase	phase	NOUN
cana-1222	164	5	,	,	PUNCT
cana-1222	164	6	the	the	DET
cana-1222	164	7	categorical	categorical	ADJ
cana-1222	164	8	crossentropy	crossentropy	NOUN
cana-1222	164	9	loss	loss	NOUN
cana-1222	164	10	function	function	NOUN
cana-1222	164	11	quantifies	quantifie	NOUN
cana-1222	164	12	the	the	DET
cana-1222	164	13	difference	difference	NOUN
cana-1222	164	14	between	between	ADP
cana-1222	164	15	the	the	DET
cana-1222	164	16	predicted	predict	VERB
cana-1222	164	17	probabilities	probability	NOUN
cana-1222	164	18	and	and	CCONJ
cana-1222	164	19	the	the	DET
cana-1222	164	20	actual	actual	ADJ
cana-1222	164	21	labels	label	NOUN
cana-1222	164	22	,	,	PUNCT
cana-1222	164	23	hence	hence	ADV
cana-1222	164	24	directing	direct	VERB
cana-1222	164	25	the	the	DET
cana-1222	164	26	optimization	optimization	NOUN
cana-1222	164	27	process	process	NOUN
cana-1222	164	28	.	.	PUNCT
cana-1222	165	1	the	the	DET
cana-1222	165	2	output	output	NOUN
cana-1222	165	3	layer	layer	NOUN
cana-1222	165	4	converts	convert	VERB
cana-1222	165	5	the	the	DET
cana-1222	165	6	complex	complex	ADJ
cana-1222	165	7	feature	feature	NOUN
cana-1222	165	8	representations	representation	NOUN
cana-1222	165	9	into	into	ADP
cana-1222	165	10	probabilities	probability	NOUN
cana-1222	165	11	for	for	ADP
cana-1222	165	12	each	each	DET
cana-1222	165	13	class	class	NOUN
cana-1222	165	14	,	,	PUNCT
cana-1222	165	15	making	make	VERB
cana-1222	165	16	it	it	PRON
cana-1222	165	17	easier	easy	ADJ
cana-1222	165	18	to	to	PART
cana-1222	165	19	understand	understand	VERB
cana-1222	165	20	and	and	CCONJ
cana-1222	165	21	classify	classify	VERB
cana-1222	165	22	satellite	satellite	NOUN
cana-1222	165	23	images	image	NOUN
cana-1222	165	24	.	.	PUNCT
cana-1222	166	1	𝑍(𝑜𝑢𝑡𝑝𝑢𝑡	𝑍(𝑜𝑢𝑡𝑝𝑢𝑡	X
cana-1222	166	2	)	)	PUNCT
cana-1222	166	3	=	=	SYM
cana-1222	166	4	𝑊(𝑜𝑢𝑡𝑝𝑢𝑡	𝑊(𝑜𝑢𝑡𝑝𝑢𝑡	PROPN
cana-1222	166	5	)	)	PUNCT
cana-1222	166	6	×	×	PROPN
cana-1222	166	7	𝐴(𝑓𝑢𝑙𝑙𝑦𝑐𝑜𝑛𝑛𝑒𝑐𝑡𝑒𝑑	𝐴(𝑓𝑢𝑙𝑙𝑦𝑐𝑜𝑛𝑛𝑒𝑐𝑡𝑒𝑑	PROPN
cana-1222	166	8	)	)	PUNCT
cana-1222	166	9	+	+	NUM
cana-1222	166	10	𝑏(𝑜𝑢𝑡𝑝𝑢𝑡	𝑏(𝑜𝑢𝑡𝑝𝑢𝑡	NOUN
cana-1222	166	11	)	)	PUNCT
cana-1222	166	12	𝐴(𝑜𝑢𝑡𝑝𝑢𝑡	𝐴(𝑜𝑢𝑡𝑝𝑢𝑡	NOUN
cana-1222	166	13	)	)	PUNCT
cana-1222	166	14	=	=	SYM
cana-1222	167	1	𝑠𝑜𝑓𝑡𝑚𝑎𝑥(𝑍(𝑜𝑢𝑡𝑝𝑢𝑡	𝑠𝑜𝑓𝑡𝑚𝑎𝑥(𝑍(𝑜𝑢𝑡𝑝𝑢𝑡	NOUN
cana-1222	167	2	)	)	PUNCT
cana-1222	167	3	)	)	PUNCT
cana-1222	168	1	the	the	DET
cana-1222	168	2	"	"	PUNCT
cana-1222	168	3	termination	termination	NOUN
cana-1222	168	4	"	"	PUNCT
cana-1222	168	5	stage	stage	NOUN
cana-1222	168	6	establishes	establish	VERB
cana-1222	168	7	the	the	DET
cana-1222	168	8	criteria	criterion	NOUN
cana-1222	168	9	that	that	PRON
cana-1222	168	10	determine	determine	VERB
cana-1222	168	11	when	when	SCONJ
cana-1222	168	12	the	the	DET
cana-1222	168	13	training	training	NOUN
cana-1222	168	14	process	process	NOUN
cana-1222	168	15	concludes	conclude	VERB
cana-1222	168	16	.	.	PUNCT
cana-1222	169	1	the	the	DET
cana-1222	169	2	training	training	NOUN
cana-1222	169	3	process	process	NOUN
cana-1222	169	4	often	often	ADV
cana-1222	169	5	consists	consist	VERB
cana-1222	169	6	of	of	ADP
cana-1222	169	7	iterating	iterate	VERB
cana-1222	169	8	through	through	ADP
cana-1222	169	9	the	the	DET
cana-1222	169	10	dataset	dataset	NOUN
cana-1222	169	11	many	many	ADJ
cana-1222	169	12	times	time	NOUN
cana-1222	169	13	,	,	PUNCT
cana-1222	169	14	known	know	VERB
cana-1222	169	15	as	as	ADP
cana-1222	169	16	epochs	epoch	NOUN
cana-1222	169	17	,	,	PUNCT
cana-1222	169	18	while	while	SCONJ
cana-1222	169	19	adjusting	adjust	VERB
cana-1222	169	20	parameters	parameter	NOUN
cana-1222	169	21	and	and	CCONJ
cana-1222	169	22	enhancing	enhance	VERB
cana-1222	169	23	the	the	DET
cana-1222	169	24	model	model	NOUN
cana-1222	169	25	's	's	PART
cana-1222	169	26	performance	performance	NOUN
cana-1222	169	27	.	.	PUNCT
cana-1222	170	1	possible	possible	ADJ
cana-1222	170	2	termination	termination	NOUN
cana-1222	170	3	conditions	condition	NOUN
cana-1222	170	4	may	may	AUX
cana-1222	170	5	consist	consist	VERB
cana-1222	170	6	of	of	ADP
cana-1222	170	7	a	a	DET
cana-1222	170	8	pre	pre	ADJ
cana-1222	170	9	-	-	ADJ
cana-1222	170	10	established	established	ADJ
cana-1222	170	11	number	number	NOUN
cana-1222	170	12	of	of	ADP
cana-1222	170	13	epochs	epoch	NOUN
cana-1222	170	14	,	,	PUNCT
cana-1222	170	15	reaching	reach	VERB
cana-1222	170	16	a	a	DET
cana-1222	170	17	suitable	suitable	ADJ
cana-1222	170	18	degree	degree	NOUN
cana-1222	170	19	of	of	ADP
cana-1222	170	20	accuracy	accuracy	NOUN
cana-1222	170	21	,	,	PUNCT
cana-1222	170	22	or	or	CCONJ
cana-1222	170	23	detecting	detect	VERB
cana-1222	170	24	the	the	DET
cana-1222	170	25	convergence	convergence	NOUN
cana-1222	170	26	of	of	ADP
cana-1222	170	27	the	the	DET
cana-1222	170	28	loss	loss	NOUN
cana-1222	170	29	function	function	NOUN
cana-1222	170	30	.	.	PUNCT
cana-1222	171	1	upon	upon	SCONJ
cana-1222	171	2	the	the	DET
cana-1222	171	3	fulfillment	fulfillment	NOUN
cana-1222	171	4	of	of	ADP
cana-1222	171	5	the	the	DET
cana-1222	171	6	termination	termination	NOUN
cana-1222	171	7	conditions	condition	NOUN
cana-1222	171	8	,	,	PUNCT
cana-1222	171	9	the	the	DET
cana-1222	171	10	training	training	NOUN
cana-1222	171	11	process	process	NOUN
cana-1222	171	12	reaches	reach	VERB
cana-1222	171	13	its	its	PRON
cana-1222	171	14	conclusion	conclusion	NOUN
cana-1222	171	15	,	,	PUNCT
cana-1222	171	16	and	and	CCONJ
cana-1222	171	17	the	the	DET
cana-1222	171	18	model	model	NOUN
cana-1222	171	19	is	be	AUX
cana-1222	171	20	deemed	deem	VERB
cana-1222	171	21	to	to	PART
cana-1222	171	22	be	be	AUX
cana-1222	171	23	trained	train	VERB
cana-1222	171	24	.	.	PUNCT
cana-1222	172	1	subsequently	subsequently	ADV
cana-1222	172	2	,	,	PUNCT
cana-1222	172	3	it	it	PRON
cana-1222	172	4	can	can	AUX
cana-1222	172	5	be	be	AUX
cana-1222	172	6	assessed	assess	VERB
cana-1222	172	7	on	on	ADP
cana-1222	172	8	novel	novel	ADJ
cana-1222	172	9	data	datum	NOUN
cana-1222	172	10	to	to	PART
cana-1222	172	11	determine	determine	VERB
cana-1222	172	12	its	its	PRON
cana-1222	172	13	ability	ability	NOUN
cana-1222	172	14	to	to	PART
cana-1222	172	15	generalize	generalize	VERB
cana-1222	172	16	.	.	PUNCT
cana-1222	173	1	the	the	DET
cana-1222	173	2	termination	termination	NOUN
cana-1222	173	3	step	step	NOUN
cana-1222	173	4	guarantees	guarantee	VERB
cana-1222	173	5	the	the	DET
cana-1222	173	6	efficient	efficient	ADJ
cana-1222	173	7	training	training	NOUN
cana-1222	173	8	of	of	ADP
cana-1222	173	9	the	the	DET
cana-1222	173	10	model	model	NOUN
cana-1222	173	11	while	while	SCONJ
cana-1222	173	12	simultaneously	simultaneously	ADV
cana-1222	173	13	avoiding	avoid	VERB
cana-1222	173	14	overfitting	overfitte	VERB
cana-1222	173	15	to	to	ADP
cana-1222	173	16	the	the	DET
cana-1222	173	17	training	training	NOUN
cana-1222	173	18	data	datum	NOUN
cana-1222	173	19	.	.	PUNCT
cana-1222	174	1	min	min	PROPN
cana-1222	174	2	𝑤(𝑙),𝑏(𝑙	𝑤(𝑙),𝑏(𝑙	PROPN
cana-1222	174	3	)	)	PUNCT
cana-1222	174	4	𝐽	𝐽	PROPN
cana-1222	174	5	(	(	PUNCT
cana-1222	174	6	𝐴(𝑜𝑢𝑡𝑝𝑢𝑡	𝐴(𝑜𝑢𝑡𝑝𝑢𝑡	PROPN
cana-1222	174	7	)	)	PUNCT
cana-1222	174	8	,	,	PUNCT
cana-1222	174	9	𝑌	𝑌	PROPN
cana-1222	174	10	)	)	PUNCT
cana-1222	174	11	the	the	DET
cana-1222	174	12	modified	modify	VERB
cana-1222	174	13	vgg16	vgg16	NOUN
cana-1222	174	14	model	model	NOUN
cana-1222	174	15	can	can	AUX
cana-1222	174	16	be	be	AUX
cana-1222	174	17	trained	train	VERB
cana-1222	174	18	using	use	VERB
cana-1222	174	19	a	a	DET
cana-1222	174	20	suitable	suitable	ADJ
cana-1222	174	21	optimization	optimization	NOUN
cana-1222	174	22	algorithm	algorithm	NOUN
cana-1222	174	23	,	,	PUNCT
cana-1222	174	24	such	such	ADJ
cana-1222	174	25	as	as	ADP
cana-1222	174	26	gradient	gradient	ADJ
cana-1222	174	27	descent	descent	NOUN
cana-1222	174	28	,	,	PUNCT
cana-1222	174	29	to	to	PART
cana-1222	174	30	minimize	minimize	VERB
cana-1222	174	31	a	a	DET
cana-1222	174	32	chosen	choose	VERB
cana-1222	174	33	loss	loss	NOUN
cana-1222	174	34	function	function	NOUN
cana-1222	174	35	.	.	PUNCT
cana-1222	175	1	the	the	DET
cana-1222	175	2	training	training	NOUN
cana-1222	175	3	process	process	NOUN
cana-1222	175	4	involves	involve	VERB
cana-1222	175	5	adjusting	adjust	VERB
cana-1222	175	6	the	the	DET
cana-1222	175	7	weights	weight	NOUN
cana-1222	175	8	and	and	CCONJ
cana-1222	175	9	biases	bias	NOUN
cana-1222	175	10	(	(	PUNCT
cana-1222	175	11	w	w	NOUN
cana-1222	175	12	and	and	CCONJ
cana-1222	175	13	b	b	NOUN
cana-1222	175	14	)	)	PUNCT
cana-1222	175	15	to	to	PART
cana-1222	175	16	improve	improve	VERB
cana-1222	175	17	the	the	DET
cana-1222	175	18	model	model	NOUN
cana-1222	175	19	's	's	PART
cana-1222	175	20	classification	classification	NOUN
cana-1222	175	21	performance	performance	NOUN
cana-1222	175	22	on	on	ADP
cana-1222	175	23	the	the	DET
cana-1222	175	24	training	training	NOUN
cana-1222	175	25	data	datum	NOUN
cana-1222	175	26	.	.	PUNCT
cana-1222	176	1	4	4	X
cana-1222	176	2	.	.	X
cana-1222	176	3	result	result	NOUN
cana-1222	176	4	and	and	CCONJ
cana-1222	176	5	discussion	discussion	VERB
cana-1222	176	6	the	the	DET
cana-1222	176	7	million	million	NUM
cana-1222	176	8	-	-	PUNCT
cana-1222	176	9	aid	aid	NOUN
cana-1222	176	10	dataset	dataset	NOUN
cana-1222	176	11	is	be	AUX
cana-1222	176	12	designed	design	VERB
cana-1222	176	13	specifically	specifically	ADV
cana-1222	176	14	for	for	ADP
cana-1222	176	15	remote	remote	ADJ
cana-1222	176	16	sensing	sense	VERB
cana-1222	176	17	image	image	NOUN
cana-1222	176	18	scene	scene	NOUN
cana-1222	176	19	categorization	categorization	NOUN
cana-1222	176	20	.	.	PUNCT
cana-1222	177	1	it	it	PRON
cana-1222	177	2	consists	consist	VERB
cana-1222	177	3	of	of	ADP
cana-1222	177	4	1500	1500	NUM
cana-1222	177	5	files	file	NOUN
cana-1222	177	6	for	for	ADP
cana-1222	177	7	green	green	ADJ
cana-1222	177	8	areas	area	NOUN
cana-1222	177	9	and	and	CCONJ
cana-1222	177	10	water	water	NOUN
cana-1222	177	11	bodies	body	NOUN
cana-1222	177	12	,	,	PUNCT
cana-1222	177	13	1131	1131	NUM
cana-1222	177	14	files	file	NOUN
cana-1222	177	15	for	for	ADP
cana-1222	177	16	desert	desert	NOUN
cana-1222	177	17	landscapes	landscape	NOUN
cana-1222	177	18	,	,	PUNCT
cana-1222	177	19	and	and	CCONJ
cana-1222	177	20	an	an	DET
cana-1222	177	21	additional	additional	ADJ
cana-1222	177	22	1500	1500	NUM
cana-1222	177	23	files	file	NOUN
cana-1222	177	24	representing	represent	VERB
cana-1222	177	25	various	various	ADJ
cana-1222	177	26	overcast	overcast	ADJ
cana-1222	177	27	scenarios	scenario	NOUN
cana-1222	177	28	.	.	PUNCT
cana-1222	178	1	the	the	DET
cana-1222	178	2	dataset	dataset	NOUN
cana-1222	178	3	is	be	AUX
cana-1222	178	4	divided	divide	VERB
cana-1222	178	5	into	into	ADP
cana-1222	178	6	training	training	NOUN
cana-1222	178	7	and	and	CCONJ
cana-1222	178	8	testing	testing	NOUN
cana-1222	178	9	sets	set	NOUN
cana-1222	178	10	in	in	ADP
cana-1222	178	11	a	a	DET
cana-1222	178	12	systematic	systematic	ADJ
cana-1222	178	13	manner	manner	NOUN
cana-1222	178	14	,	,	PUNCT
cana-1222	178	15	with	with	ADP
cana-1222	178	16	3800	3800	NUM
cana-1222	178	17	photos	photo	NOUN
cana-1222	178	18	in	in	ADP
cana-1222	178	19	the	the	DET
cana-1222	178	20	training	training	NOUN
cana-1222	178	21	set	set	NOUN
cana-1222	178	22	and	and	CCONJ
cana-1222	178	23	1831	1831	NUM
cana-1222	178	24	images	image	NOUN
cana-1222	178	25	in	in	ADP
cana-1222	178	26	the	the	DET
cana-1222	178	27	testing	testing	NOUN
cana-1222	178	28	set	set	NOUN
cana-1222	178	29	.	.	PUNCT
cana-1222	179	1	by	by	ADP
cana-1222	179	2	utilizing	utilize	VERB
cana-1222	179	3	python	python	NOUN
cana-1222	179	4	as	as	ADP
cana-1222	179	5	a	a	DET
cana-1222	179	6	flexible	flexible	ADJ
cana-1222	179	7	programming	programming	NOUN
cana-1222	179	8	language	language	NOUN
cana-1222	179	9	,	,	PUNCT
cana-1222	179	10	researchers	researcher	NOUN
cana-1222	179	11	can	can	AUX
cana-1222	179	12	effortlessly	effortlessly	ADV
cana-1222	179	13	obtain	obtain	VERB
cana-1222	179	14	,	,	PUNCT
cana-1222	179	15	preprocess	preprocess	NOUN
cana-1222	179	16	,	,	PUNCT
cana-1222	179	17	and	and	CCONJ
cana-1222	179	18	analyze	analyze	VERB
cana-1222	179	19	the	the	DET
cana-1222	179	20	million	million	NUM
cana-1222	179	21	-	-	PUNCT
cana-1222	179	22	aid	aid	NOUN
cana-1222	179	23	dataset	dataset	NOUN
cana-1222	179	24	.	.	PUNCT
cana-1222	180	1	the	the	DET
cana-1222	180	2	broad	broad	ADJ
cana-1222	180	3	ecosystem	ecosystem	NOUN
cana-1222	180	4	of	of	ADP
cana-1222	180	5	python	python	PROPN
cana-1222	180	6	,	,	PUNCT
cana-1222	180	7	which	which	PRON
cana-1222	180	8	includes	include	VERB
cana-1222	180	9	libraries	library	NOUN
cana-1222	180	10	such	such	ADJ
cana-1222	180	11	as	as	ADP
cana-1222	180	12	tensorflow	tensorflow	NOUN
cana-1222	180	13	and	and	CCONJ
cana-1222	180	14	scikit	scikit	NOUN
cana-1222	180	15	-	-	PUNCT
cana-1222	180	16	learn	learn	NOUN
cana-1222	180	17	,	,	PUNCT
cana-1222	180	18	allows	allow	VERB
cana-1222	180	19	for	for	ADP
cana-1222	180	20	the	the	DET
cana-1222	180	21	creation	creation	NOUN
cana-1222	180	22	and	and	CCONJ
cana-1222	180	23	training	training	NOUN
cana-1222	180	24	of	of	ADP
cana-1222	180	25	intelligent	intelligent	ADJ
cana-1222	180	26	algorithms	algorithm	NOUN
cana-1222	180	27	for	for	ADP
cana-1222	180	28	interpreting	interpret	VERB
cana-1222	180	29	rs	rs	NOUN
cana-1222	180	30	images	image	NOUN
cana-1222	180	31	.	.	PUNCT
cana-1222	181	1	the	the	DET
cana-1222	181	2	dataset	dataset	NOUN
cana-1222	181	3	can	can	AUX
cana-1222	181	4	be	be	AUX
cana-1222	181	5	downloaded	download	VERB
cana-1222	181	6	from	from	ADP
cana-1222	181	7	a	a	DET
cana-1222	181	8	dedicated	dedicated	ADJ
cana-1222	181	9	repository	repository	NOUN
cana-1222	181	10	[	[	X
cana-1222	181	11	21	21	NUM
cana-1222	181	12	]	]	PUNCT
cana-1222	181	13	.	.	PUNCT
cana-1222	182	1	it	it	PRON
cana-1222	182	2	is	be	AUX
cana-1222	182	3	supported	support	VERB
cana-1222	182	4	with	with	ADP
cana-1222	182	5	python	python	NOUN
cana-1222	182	6	-	-	PUNCT
cana-1222	182	7	based	base	VERB
cana-1222	182	8	tools	tool	NOUN
cana-1222	182	9	that	that	PRON
cana-1222	182	10	help	help	VERB
cana-1222	182	11	in	in	ADP
cana-1222	182	12	effectively	effectively	ADV
cana-1222	182	13	using	use	VERB
cana-1222	182	14	it	it	PRON
cana-1222	182	15	.	.	PUNCT
cana-1222	183	1	the	the	DET
cana-1222	183	2	incorporation	incorporation	NOUN
cana-1222	183	3	of	of	ADP
cana-1222	183	4	python	python	NOUN
cana-1222	183	5	alongside	alongside	ADP
cana-1222	183	6	million	million	NUM
cana-1222	183	7	-	-	PUNCT
cana-1222	183	8	aid	aid	NOUN
cana-1222	183	9	not	not	PART
cana-1222	183	10	only	only	ADV
cana-1222	183	11	simplifies	simplify	VERB
cana-1222	183	12	the	the	DET
cana-1222	183	13	research	research	NOUN
cana-1222	183	14	process	process	NOUN
cana-1222	183	15	but	but	CCONJ
cana-1222	183	16	also	also	ADV
cana-1222	183	17	motivates	motivate	VERB
cana-1222	183	18	the	the	DET
cana-1222	183	19	rs	rs	ADJ
cana-1222	183	20	community	community	NOUN
cana-1222	183	21	to	to	PART
cana-1222	183	22	collectively	collectively	ADV
cana-1222	183	23	investigate	investigate	VERB
cana-1222	183	24	inventive	inventive	ADJ
cana-1222	183	25	methods	method	NOUN
cana-1222	183	26	in	in	ADP
cana-1222	183	27	large	large	ADJ
cana-1222	183	28	-	-	PUNCT
cana-1222	183	29	scale	scale	NOUN
cana-1222	183	30	and	and	CCONJ
cana-1222	183	31	practical	practical	ADJ
cana-1222	183	32	rs	rs	NOUN
cana-1222	183	33	image	image	NOUN
cana-1222	183	34	scene	scene	NOUN
cana-1222	183	35	classification	classification	NOUN
cana-1222	183	36	.	.	PUNCT
cana-1222	184	1	researchers	researcher	NOUN
cana-1222	184	2	are	be	AUX
cana-1222	184	3	urged	urge	VERB
cana-1222	184	4	to	to	PART
cana-1222	184	5	utilize	utilize	VERB
cana-1222	184	6	and	and	CCONJ
cana-1222	184	7	contribute	contribute	VERB
cana-1222	184	8	to	to	ADP
cana-1222	184	9	the	the	DET
cana-1222	184	10	dataset	dataset	NOUN
cana-1222	184	11	,	,	PUNCT
cana-1222	184	12	promoting	promote	VERB
cana-1222	184	13	progress	progress	NOUN
cana-1222	184	14	in	in	ADP
cana-1222	184	15	data	data	NOUN
cana-1222	184	16	-	-	PUNCT
cana-1222	184	17	driven	drive	VERB
cana-1222	184	18	interpretation	interpretation	NOUN
cana-1222	184	19	models	model	NOUN
cana-1222	184	20	within	within	ADP
cana-1222	184	21	the	the	DET
cana-1222	184	22	python	python	NOUN
cana-1222	184	23	community	community	NOUN
cana-1222	184	24	.	.	PUNCT
cana-1222	185	1	the	the	DET
cana-1222	185	2	dataset	dataset	ADJ
cana-1222	185	3	information	information	NOUN
cana-1222	185	4	is	be	AUX
cana-1222	185	5	given	give	VERB
cana-1222	185	6	in	in	ADP
cana-1222	185	7	figure	figure	NOUN
cana-1222	185	8	1	1	NUM
cana-1222	185	9	.	.	PUNCT
cana-1222	186	1	communications	communication	NOUN
cana-1222	186	2	on	on	ADP
cana-1222	186	3	applied	apply	VERB
cana-1222	186	4	nonlinear	nonlinear	ADJ
cana-1222	186	5	analysis	analysis	NOUN
cana-1222	186	6	issn	issn	NOUN
cana-1222	186	7	:	:	PUNCT
cana-1222	186	8	1074	1074	NUM
cana-1222	186	9	-	-	PUNCT
cana-1222	186	10	133x	133x	NUM
cana-1222	186	11	vol	vol	NOUN
cana-1222	186	12	31	31	NUM
cana-1222	186	13	no	no	NOUN
cana-1222	186	14	.	.	PUNCT
cana-1222	187	1	6s	6s	NUM
cana-1222	187	2	(	(	PUNCT
cana-1222	187	3	2024	2024	NUM
cana-1222	187	4	)	)	PUNCT
cana-1222	188	1	289	289	NUM
cana-1222	188	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1222	188	3	figure	figure	NOUN
cana-1222	188	4	1	1	NUM
cana-1222	188	5	.	.	PUNCT
cana-1222	188	6	dataset	dataset	ADJ
cana-1222	188	7	count	count	NOUN
cana-1222	188	8	figure	figure	NOUN
cana-1222	188	9	2	2	NUM
cana-1222	188	10	.	.	NOUN
cana-1222	188	11	feature	feature	NOUN
cana-1222	188	12	selection	selection	NOUN
cana-1222	188	13	figure	figure	NOUN
cana-1222	188	14	3	3	NUM
cana-1222	188	15	.	.	NUM
cana-1222	188	16	classified	classify	VERB
cana-1222	188	17	image	image	NOUN
cana-1222	188	18	with	with	ADP
cana-1222	188	19	respective	respective	ADJ
cana-1222	188	20	labels	label	NOUN
cana-1222	188	21	figure	figure	VERB
cana-1222	188	22	4	4	NUM
cana-1222	188	23	.	.	PUNCT
cana-1222	189	1	training	training	NOUN
cana-1222	189	2	vs	vs	ADP
cana-1222	189	3	validation	validation	NOUN
cana-1222	189	4	loss	loss	NOUN
cana-1222	189	5	and	and	CCONJ
cana-1222	189	6	training	training	NOUN
cana-1222	189	7	vs	vs	ADP
cana-1222	189	8	validation	validation	NOUN
cana-1222	189	9	accuracy	accuracy	NOUN
cana-1222	189	10	communications	communication	NOUN
cana-1222	189	11	on	on	ADP
cana-1222	189	12	applied	apply	VERB
cana-1222	189	13	nonlinear	nonlinear	ADJ
cana-1222	189	14	analysis	analysis	NOUN
cana-1222	189	15	issn	issn	NOUN
cana-1222	189	16	:	:	PUNCT
cana-1222	189	17	1074	1074	NUM
cana-1222	189	18	-	-	PUNCT
cana-1222	189	19	133x	133x	NUM
cana-1222	189	20	vol	vol	NOUN
cana-1222	189	21	31	31	NUM
cana-1222	189	22	no	no	NOUN
cana-1222	189	23	.	.	PUNCT
cana-1222	190	1	6s	6s	NUM
cana-1222	190	2	(	(	PUNCT
cana-1222	190	3	2024	2024	NUM
cana-1222	190	4	)	)	PUNCT
cana-1222	190	5	290	290	NUM
cana-1222	190	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1222	190	7	figure	figure	NOUN
cana-1222	190	8	1	1	NUM
cana-1222	190	9	,	,	PUNCT
cana-1222	190	10	titled	title	VERB
cana-1222	190	11	"	"	PUNCT
cana-1222	190	12	dataset	dataset	ADJ
cana-1222	190	13	count	count	NOUN
cana-1222	190	14	,	,	PUNCT
cana-1222	190	15	"	"	PUNCT
cana-1222	190	16	presents	present	VERB
cana-1222	190	17	a	a	DET
cana-1222	190	18	visual	visual	ADJ
cana-1222	190	19	depiction	depiction	NOUN
cana-1222	190	20	that	that	PRON
cana-1222	190	21	illustrates	illustrate	VERB
cana-1222	190	22	the	the	DET
cana-1222	190	23	distribution	distribution	NOUN
cana-1222	190	24	of	of	ADP
cana-1222	190	25	classes	class	NOUN
cana-1222	190	26	in	in	ADP
cana-1222	190	27	the	the	DET
cana-1222	190	28	satellite	satellite	NOUN
cana-1222	190	29	image	image	NOUN
cana-1222	190	30	dataset	dataset	NOUN
cana-1222	190	31	.	.	PUNCT
cana-1222	191	1	this	this	DET
cana-1222	191	2	representation	representation	NOUN
cana-1222	191	3	offers	offer	VERB
cana-1222	191	4	useful	useful	ADJ
cana-1222	191	5	insights	insight	NOUN
cana-1222	191	6	into	into	ADP
cana-1222	191	7	the	the	DET
cana-1222	191	8	quantity	quantity	NOUN
cana-1222	191	9	of	of	ADP
cana-1222	191	10	samples	sample	NOUN
cana-1222	191	11	available	available	ADJ
cana-1222	191	12	for	for	ADP
cana-1222	191	13	each	each	DET
cana-1222	191	14	category	category	NOUN
cana-1222	191	15	.	.	PUNCT
cana-1222	192	1	figure	figure	NOUN
cana-1222	192	2	2	2	NUM
cana-1222	192	3	,	,	PUNCT
cana-1222	192	4	titled	title	VERB
cana-1222	192	5	"	"	PUNCT
cana-1222	192	6	feature	feature	NOUN
cana-1222	192	7	selection	selection	NOUN
cana-1222	192	8	,	,	PUNCT
cana-1222	192	9	"	"	PUNCT
cana-1222	192	10	visually	visually	ADV
cana-1222	192	11	represents	represent	VERB
cana-1222	192	12	the	the	DET
cana-1222	192	13	procedure	procedure	NOUN
cana-1222	192	14	of	of	ADP
cana-1222	192	15	choosing	choose	VERB
cana-1222	192	16	significant	significant	ADJ
cana-1222	192	17	features	feature	NOUN
cana-1222	192	18	from	from	ADP
cana-1222	192	19	satellite	satellite	NOUN
cana-1222	192	20	images	image	NOUN
cana-1222	192	21	.	.	PUNCT
cana-1222	193	1	it	it	PRON
cana-1222	193	2	utilizes	utilize	VERB
cana-1222	193	3	charts	chart	NOUN
cana-1222	193	4	to	to	PART
cana-1222	193	5	emphasize	emphasize	VERB
cana-1222	193	6	the	the	DET
cana-1222	193	7	relevance	relevance	NOUN
cana-1222	193	8	scores	score	NOUN
cana-1222	193	9	of	of	ADP
cana-1222	193	10	each	each	DET
cana-1222	193	11	individual	individual	ADJ
cana-1222	193	12	feature	feature	NOUN
cana-1222	193	13	.	.	PUNCT
cana-1222	194	1	the	the	DET
cana-1222	194	2	visual	visual	ADJ
cana-1222	194	3	output	output	NOUN
cana-1222	194	4	in	in	ADP
cana-1222	194	5	figure	figure	NOUN
cana-1222	194	6	3	3	NUM
cana-1222	194	7	,	,	PUNCT
cana-1222	194	8	titled	title	VERB
cana-1222	194	9	"	"	PUNCT
cana-1222	194	10	classified	classified	ADJ
cana-1222	194	11	image	image	NOUN
cana-1222	194	12	with	with	ADP
cana-1222	194	13	respective	respective	ADJ
cana-1222	194	14	labels	label	NOUN
cana-1222	194	15	,	,	PUNCT
cana-1222	194	16	"	"	PUNCT
cana-1222	194	17	displays	display	VERB
cana-1222	194	18	the	the	DET
cana-1222	194	19	results	result	NOUN
cana-1222	194	20	of	of	ADP
cana-1222	194	21	satellite	satellite	NOUN
cana-1222	194	22	image	image	NOUN
cana-1222	194	23	classification	classification	NOUN
cana-1222	194	24	.	.	PUNCT
cana-1222	195	1	it	it	PRON
cana-1222	195	2	uses	use	VERB
cana-1222	195	3	color	color	NOUN
cana-1222	195	4	-	-	PUNCT
cana-1222	195	5	coding	coding	NOUN
cana-1222	195	6	to	to	PART
cana-1222	195	7	represent	represent	VERB
cana-1222	195	8	expected	expect	VERB
cana-1222	195	9	classes	class	NOUN
cana-1222	195	10	for	for	ADP
cana-1222	195	11	pixels	pixel	NOUN
cana-1222	195	12	or	or	CCONJ
cana-1222	195	13	regions	region	NOUN
cana-1222	195	14	.	.	PUNCT
cana-1222	196	1	figure	figure	NOUN
cana-1222	196	2	4	4	NUM
cana-1222	196	3	,	,	PUNCT
cana-1222	196	4	titled	title	VERB
cana-1222	196	5	"	"	PUNCT
cana-1222	196	6	training	train	VERB
cana-1222	196	7	vs	vs	ADP
cana-1222	196	8	validation	validation	NOUN
cana-1222	196	9	loss	loss	NOUN
cana-1222	196	10	and	and	CCONJ
cana-1222	196	11	training	training	NOUN
cana-1222	196	12	vs	vs	ADP
cana-1222	196	13	validation	validation	NOUN
cana-1222	196	14	accuracy	accuracy	NOUN
cana-1222	196	15	,	,	PUNCT
cana-1222	196	16	"	"	PUNCT
cana-1222	196	17	utilizes	utilize	VERB
cana-1222	196	18	line	line	NOUN
cana-1222	196	19	graphs	graph	NOUN
cana-1222	196	20	to	to	PART
cana-1222	196	21	depict	depict	VERB
cana-1222	196	22	the	the	DET
cana-1222	196	23	performance	performance	NOUN
cana-1222	196	24	metrics	metric	NOUN
cana-1222	196	25	of	of	ADP
cana-1222	196	26	the	the	DET
cana-1222	196	27	model	model	NOUN
cana-1222	196	28	throughout	throughout	ADP
cana-1222	196	29	the	the	DET
cana-1222	196	30	training	training	NOUN
cana-1222	196	31	process	process	NOUN
cana-1222	196	32	.	.	PUNCT
cana-1222	197	1	this	this	DET
cana-1222	197	2	assists	assist	NOUN
cana-1222	197	3	in	in	ADP
cana-1222	197	4	evaluating	evaluate	VERB
cana-1222	197	5	the	the	DET
cana-1222	197	6	convergence	convergence	NOUN
cana-1222	197	7	of	of	ADP
cana-1222	197	8	the	the	DET
cana-1222	197	9	model	model	NOUN
cana-1222	197	10	and	and	CCONJ
cana-1222	197	11	identifying	identify	VERB
cana-1222	197	12	any	any	DET
cana-1222	197	13	potential	potential	ADJ
cana-1222	197	14	overfitting	overfitting	NOUN
cana-1222	197	15	.	.	PUNCT
cana-1222	198	1	these	these	DET
cana-1222	198	2	images	image	NOUN
cana-1222	198	3	provide	provide	VERB
cana-1222	198	4	a	a	DET
cana-1222	198	5	full	full	ADJ
cana-1222	198	6	overview	overview	NOUN
cana-1222	198	7	of	of	ADP
cana-1222	198	8	the	the	DET
cana-1222	198	9	dataset	dataset	NOUN
cana-1222	198	10	,	,	PUNCT
cana-1222	198	11	feature	feature	NOUN
cana-1222	198	12	selection	selection	NOUN
cana-1222	198	13	process	process	NOUN
cana-1222	198	14	,	,	PUNCT
cana-1222	198	15	classification	classification	NOUN
cana-1222	198	16	output	output	NOUN
cana-1222	198	17	,	,	PUNCT
cana-1222	198	18	and	and	CCONJ
cana-1222	198	19	model	model	NOUN
cana-1222	198	20	training	training	NOUN
cana-1222	198	21	dynamics	dynamic	NOUN
cana-1222	198	22	in	in	ADP
cana-1222	198	23	satellite	satellite	NOUN
cana-1222	198	24	image	image	NOUN
cana-1222	198	25	analysis	analysis	NOUN
cana-1222	198	26	.	.	PUNCT
cana-1222	199	1	accuracy	accuracy	NOUN
cana-1222	199	2	,	,	PUNCT
cana-1222	199	3	precision	precision	NOUN
cana-1222	199	4	,	,	PUNCT
cana-1222	199	5	and	and	CCONJ
cana-1222	199	6	recall	recall	NOUN
cana-1222	199	7	are	be	AUX
cana-1222	199	8	crucial	crucial	ADJ
cana-1222	199	9	measures	measure	NOUN
cana-1222	199	10	for	for	ADP
cana-1222	199	11	assessing	assess	VERB
cana-1222	199	12	the	the	DET
cana-1222	199	13	performance	performance	NOUN
cana-1222	199	14	and	and	CCONJ
cana-1222	199	15	dependability	dependability	NOUN
cana-1222	199	16	of	of	ADP
cana-1222	199	17	classification	classification	NOUN
cana-1222	199	18	algorithms	algorithm	NOUN
cana-1222	199	19	in	in	ADP
cana-1222	199	20	the	the	DET
cana-1222	199	21	field	field	NOUN
cana-1222	199	22	of	of	ADP
cana-1222	199	23	land	land	NOUN
cana-1222	199	24	cover	cover	NOUN
cana-1222	199	25	categorization	categorization	NOUN
cana-1222	199	26	.	.	PUNCT
cana-1222	200	1	accuracy	accuracy	NOUN
cana-1222	200	2	is	be	AUX
cana-1222	200	3	determined	determine	VERB
cana-1222	200	4	by	by	ADP
cana-1222	200	5	dividing	divide	VERB
cana-1222	200	6	the	the	DET
cana-1222	200	7	number	number	NOUN
cana-1222	200	8	of	of	ADP
cana-1222	200	9	correctly	correctly	ADV
cana-1222	200	10	categorized	categorize	VERB
cana-1222	200	11	cases	case	NOUN
cana-1222	200	12	by	by	ADP
cana-1222	200	13	the	the	DET
cana-1222	200	14	total	total	ADJ
cana-1222	200	15	number	number	NOUN
cana-1222	200	16	of	of	ADP
cana-1222	200	17	instances	instance	NOUN
cana-1222	200	18	,	,	PUNCT
cana-1222	200	19	and	and	CCONJ
cana-1222	200	20	it	it	PRON
cana-1222	200	21	measures	measure	VERB
cana-1222	200	22	the	the	DET
cana-1222	200	23	overall	overall	ADJ
cana-1222	200	24	correctness	correctness	NOUN
cana-1222	200	25	of	of	ADP
cana-1222	200	26	the	the	DET
cana-1222	200	27	model	model	NOUN
cana-1222	200	28	.	.	PUNCT
cana-1222	201	1	a	a	DET
cana-1222	201	2	high	high	ADJ
cana-1222	201	3	level	level	NOUN
cana-1222	201	4	of	of	ADP
cana-1222	201	5	accuracy	accuracy	NOUN
cana-1222	201	6	shows	show	VERB
cana-1222	201	7	the	the	DET
cana-1222	201	8	successful	successful	ADJ
cana-1222	201	9	classification	classification	NOUN
cana-1222	201	10	of	of	ADP
cana-1222	201	11	land	land	NOUN
cana-1222	201	12	cover	cover	NOUN
cana-1222	201	13	,	,	PUNCT
cana-1222	201	14	whereas	whereas	SCONJ
cana-1222	201	15	a	a	DET
cana-1222	201	16	lower	low	ADJ
cana-1222	201	17	level	level	NOUN
cana-1222	201	18	of	of	ADP
cana-1222	201	19	accuracy	accuracy	NOUN
cana-1222	201	20	suggests	suggest	VERB
cana-1222	201	21	flaws	flaw	NOUN
cana-1222	201	22	in	in	ADP
cana-1222	201	23	the	the	DET
cana-1222	201	24	model	model	NOUN
cana-1222	201	25	's	's	PART
cana-1222	201	26	predictions	prediction	NOUN
cana-1222	201	27	.	.	PUNCT
cana-1222	202	1	precision	precision	NOUN
cana-1222	202	2	is	be	AUX
cana-1222	202	3	a	a	DET
cana-1222	202	4	metric	metric	NOUN
cana-1222	202	5	that	that	PRON
cana-1222	202	6	evaluates	evaluate	VERB
cana-1222	202	7	the	the	DET
cana-1222	202	8	accuracy	accuracy	NOUN
cana-1222	202	9	of	of	ADP
cana-1222	202	10	positive	positive	ADJ
cana-1222	202	11	predictions	prediction	NOUN
cana-1222	202	12	.	.	PUNCT
cana-1222	203	1	it	it	PRON
cana-1222	203	2	is	be	AUX
cana-1222	203	3	calculated	calculate	VERB
cana-1222	203	4	by	by	ADP
cana-1222	203	5	dividing	divide	VERB
cana-1222	203	6	the	the	DET
cana-1222	203	7	number	number	NOUN
cana-1222	203	8	of	of	ADP
cana-1222	203	9	accurately	accurately	ADV
cana-1222	203	10	predicted	predict	VERB
cana-1222	203	11	positive	positive	ADJ
cana-1222	203	12	cases	case	NOUN
cana-1222	203	13	by	by	ADP
cana-1222	203	14	the	the	DET
cana-1222	203	15	total	total	ADJ
cana-1222	203	16	number	number	NOUN
cana-1222	203	17	of	of	ADP
cana-1222	203	18	anticipated	anticipate	VERB
cana-1222	203	19	positive	positive	ADJ
cana-1222	203	20	instances	instance	NOUN
cana-1222	203	21	.	.	PUNCT
cana-1222	204	1	it	it	PRON
cana-1222	204	2	offers	offer	VERB
cana-1222	204	3	valuable	valuable	ADJ
cana-1222	204	4	information	information	NOUN
cana-1222	204	5	on	on	ADP
cana-1222	204	6	the	the	DET
cana-1222	204	7	model	model	NOUN
cana-1222	204	8	's	's	PART
cana-1222	204	9	accuracy	accuracy	NOUN
cana-1222	204	10	in	in	ADP
cana-1222	204	11	detecting	detect	VERB
cana-1222	204	12	particular	particular	ADJ
cana-1222	204	13	land	land	NOUN
cana-1222	204	14	cover	cover	NOUN
cana-1222	204	15	categories	category	NOUN
cana-1222	204	16	.	.	PUNCT
cana-1222	205	1	recall	recall	NOUN
cana-1222	205	2	measures	measure	NOUN
cana-1222	205	3	the	the	DET
cana-1222	205	4	model	model	NOUN
cana-1222	205	5	's	's	PART
cana-1222	205	6	capacity	capacity	NOUN
cana-1222	205	7	to	to	PART
cana-1222	205	8	accurately	accurately	ADV
cana-1222	205	9	identify	identify	VERB
cana-1222	205	10	and	and	CCONJ
cana-1222	205	11	categorize	categorize	VERB
cana-1222	205	12	all	all	DET
cana-1222	205	13	occurrences	occurrence	NOUN
cana-1222	205	14	of	of	ADP
cana-1222	205	15	a	a	DET
cana-1222	205	16	specific	specific	ADJ
cana-1222	205	17	land	land	NOUN
cana-1222	205	18	cover	cover	NOUN
cana-1222	205	19	category	category	NOUN
cana-1222	205	20	.	.	PUNCT
cana-1222	206	1	it	it	PRON
cana-1222	206	2	is	be	AUX
cana-1222	206	3	determined	determine	VERB
cana-1222	206	4	by	by	ADP
cana-1222	206	5	dividing	divide	VERB
cana-1222	206	6	the	the	DET
cana-1222	206	7	number	number	NOUN
cana-1222	206	8	of	of	ADP
cana-1222	206	9	true	true	ADJ
cana-1222	206	10	positives	positive	NOUN
cana-1222	206	11	by	by	ADP
cana-1222	206	12	the	the	DET
cana-1222	206	13	total	total	ADJ
cana-1222	206	14	number	number	NOUN
cana-1222	206	15	of	of	ADP
cana-1222	206	16	actual	actual	ADJ
cana-1222	206	17	positive	positive	ADJ
cana-1222	206	18	instances	instance	NOUN
cana-1222	206	19	.	.	PUNCT
cana-1222	207	1	the	the	DET
cana-1222	207	2	concepts	concept	NOUN
cana-1222	207	3	of	of	ADP
cana-1222	207	4	precision	precision	NOUN
cana-1222	207	5	and	and	CCONJ
cana-1222	207	6	recall	recall	NOUN
cana-1222	207	7	provide	provide	VERB
cana-1222	207	8	subtle	subtle	ADJ
cana-1222	207	9	insights	insight	NOUN
cana-1222	207	10	,	,	PUNCT
cana-1222	207	11	which	which	PRON
cana-1222	207	12	are	be	AUX
cana-1222	207	13	especially	especially	ADV
cana-1222	207	14	important	important	ADJ
cana-1222	207	15	when	when	SCONJ
cana-1222	207	16	the	the	DET
cana-1222	207	17	impacts	impact	NOUN
cana-1222	207	18	of	of	ADP
cana-1222	207	19	false	false	ADJ
cana-1222	207	20	positives	positive	NOUN
cana-1222	207	21	or	or	CCONJ
cana-1222	207	22	false	false	ADJ
cana-1222	207	23	negatives	negative	NOUN
cana-1222	207	24	differ	differ	VERB
cana-1222	207	25	.	.	PUNCT
cana-1222	208	1	assessing	assess	VERB
cana-1222	208	2	these	these	DET
cana-1222	208	3	measures	measure	NOUN
cana-1222	208	4	together	together	ADV
cana-1222	208	5	gives	give	VERB
cana-1222	208	6	a	a	DET
cana-1222	208	7	thorough	thorough	ADJ
cana-1222	208	8	comprehension	comprehension	NOUN
cana-1222	208	9	of	of	ADP
cana-1222	208	10	how	how	SCONJ
cana-1222	208	11	well	well	ADV
cana-1222	208	12	a	a	DET
cana-1222	208	13	land	land	NOUN
cana-1222	208	14	cover	cover	NOUN
cana-1222	208	15	classification	classification	NOUN
cana-1222	208	16	model	model	NOUN
cana-1222	208	17	achieves	achieve	VERB
cana-1222	208	18	specified	specify	VERB
cana-1222	208	19	goals	goal	NOUN
cana-1222	208	20	.	.	PUNCT
cana-1222	209	1	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	PROPN
cana-1222	209	2	=	=	PUNCT
cana-1222	209	3	𝑇𝑃	𝑇𝑃	PROPN
cana-1222	209	4	+	+	CCONJ
cana-1222	209	5	𝑇𝑁	𝑇𝑁	PROPN
cana-1222	209	6	𝑇𝑃	𝑇𝑃	PROPN
cana-1222	209	7	+	+	CCONJ
cana-1222	209	8	𝑇𝑁	𝑇𝑁	PROPN
cana-1222	209	9	+	+	NUM
cana-1222	209	10	𝐹𝑃	𝐹𝑃	NOUN
cana-1222	210	1	+	+	CCONJ
cana-1222	210	2	𝐹𝑁	𝐹𝑁	PROPN
cana-1222	210	3	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
cana-1222	210	4	=	=	SYM
cana-1222	210	5	𝑇𝑃	𝑇𝑃	PROPN
cana-1222	210	6	𝑇𝑃	𝑇𝑃	PROPN
cana-1222	210	7	+	+	CCONJ
cana-1222	210	8	𝐹𝑃	𝐹𝑃	PROPN
cana-1222	210	9	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-1222	210	10	=	=	SYM
cana-1222	210	11	𝑇𝑃	𝑇𝑃	PROPN
cana-1222	210	12	+	+	CCONJ
cana-1222	210	13	𝑇𝑁	𝑇𝑁	PROPN
cana-1222	210	14	𝑇𝑃	𝑇𝑃	NOUN
cana-1222	210	15	+	+	CCONJ
cana-1222	210	16	𝐹𝑁	𝐹𝑁	PROPN
cana-1222	210	17	the	the	DET
cana-1222	210	18	performance	performance	NOUN
cana-1222	210	19	measures	measure	NOUN
cana-1222	210	20	namely	namely	ADV
cana-1222	210	21	accuracy	accuracy	NOUN
cana-1222	210	22	,	,	PUNCT
cana-1222	210	23	precision	precision	NOUN
cana-1222	210	24	,	,	PUNCT
cana-1222	210	25	and	and	CCONJ
cana-1222	210	26	recall	recall	NOUN
cana-1222	210	27	is	be	AUX
cana-1222	210	28	given	give	VERB
cana-1222	210	29	in	in	ADP
cana-1222	210	30	table	table	NOUN
cana-1222	210	31	1	1	NUM
cana-1222	210	32	and	and	CCONJ
cana-1222	210	33	figure	figure	VERB
cana-1222	210	34	5	5	NUM
cana-1222	210	35	.	.	PUNCT
cana-1222	211	1	the	the	DET
cana-1222	211	2	performance	performance	NOUN
cana-1222	211	3	is	be	AUX
cana-1222	211	4	compared	compare	VERB
cana-1222	211	5	with	with	ADP
cana-1222	211	6	existing	exist	VERB
cana-1222	211	7	techniques	technique	NOUN
cana-1222	211	8	namely	namely	ADV
cana-1222	211	9	combined	combine	VERB
cana-1222	211	10	cnn	cnn	PROPN
cana-1222	211	11	(	(	PUNCT
cana-1222	211	12	ccnn	ccnn	PROPN
cana-1222	211	13	)	)	PUNCT
cana-1222	211	14	,	,	PUNCT
cana-1222	211	15	7	7	NUM
cana-1222	211	16	-	-	PUNCT
cana-1222	211	17	layer	layer	NOUN
cana-1222	211	18	cnn	cnn	PROPN
cana-1222	211	19	,	,	PUNCT
cana-1222	211	20	vgg16	vgg16	PROPN
cana-1222	211	21	,	,	PUNCT
cana-1222	211	22	and	and	CCONJ
cana-1222	211	23	the	the	DET
cana-1222	211	24	proposed	propose	VERB
cana-1222	211	25	modified	modify	VERB
cana-1222	211	26	vgg16	vgg16	PROPN
cana-1222	211	27	.	.	PUNCT
cana-1222	211	28	table	table	NOUN
cana-1222	212	1	1	1	NUM
cana-1222	212	2	.	.	PUNCT
cana-1222	212	3	comparison	comparison	NOUN
cana-1222	212	4	of	of	ADP
cana-1222	212	5	performance	performance	NOUN
cana-1222	212	6	algorithm	algorithm	NOUN
cana-1222	212	7	accuracy	accuracy	NOUN
cana-1222	212	8	precision	precision	NOUN
cana-1222	212	9	recall	recall	PROPN
cana-1222	212	10	ccnn	ccnn	VERB
cana-1222	212	11	86	86	NUM
cana-1222	212	12	81.2	81.2	NUM
cana-1222	212	13	80.67	80.67	NUM
cana-1222	212	14	cnn	cnn	PROPN
cana-1222	212	15	88.23	88.23	NUM
cana-1222	212	16	82	82	NUM
cana-1222	212	17	82.2	82.2	NUM
cana-1222	212	18	vgg16	vgg16	NOUN
cana-1222	212	19	89	89	NUM
cana-1222	212	20	83.43	83.43	NUM
cana-1222	212	21	83	83	NUM
cana-1222	212	22	modified	modify	VERB
cana-1222	212	23	vgg16	vgg16	NOUN
cana-1222	212	24	97.34	97.34	NUM
cana-1222	212	25	94.3	94.3	NUM
cana-1222	212	26	95.3	95.3	NUM
cana-1222	212	27	communications	communication	NOUN
cana-1222	212	28	on	on	ADP
cana-1222	212	29	applied	apply	VERB
cana-1222	212	30	nonlinear	nonlinear	ADJ
cana-1222	212	31	analysis	analysis	NOUN
cana-1222	212	32	issn	issn	NOUN
cana-1222	212	33	:	:	PUNCT
cana-1222	212	34	1074	1074	NUM
cana-1222	212	35	-	-	PUNCT
cana-1222	212	36	133x	133x	NUM
cana-1222	212	37	vol	vol	NOUN
cana-1222	212	38	31	31	NUM
cana-1222	212	39	no	no	NOUN
cana-1222	212	40	.	.	PUNCT
cana-1222	213	1	6s	6s	NUM
cana-1222	213	2	(	(	PUNCT
cana-1222	213	3	2024	2024	NUM
cana-1222	213	4	)	)	PUNCT
cana-1222	213	5	291	291	NUM
cana-1222	213	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1222	213	7	figure	figure	NOUN
cana-1222	213	8	5	5	NUM
cana-1222	213	9	.	.	PUNCT
cana-1222	213	10	comparison	comparison	NOUN
cana-1222	213	11	of	of	ADP
cana-1222	213	12	performance	performance	NOUN
cana-1222	213	13	the	the	DET
cana-1222	213	14	parameters	parameter	NOUN
cana-1222	213	15	of	of	ADP
cana-1222	213	16	accuracy	accuracy	NOUN
cana-1222	213	17	,	,	PUNCT
cana-1222	213	18	precision	precision	NOUN
cana-1222	213	19	,	,	PUNCT
cana-1222	213	20	and	and	CCONJ
cana-1222	213	21	recall	recall	NOUN
cana-1222	213	22	offered	offer	VERB
cana-1222	213	23	in	in	ADP
cana-1222	213	24	the	the	DET
cana-1222	213	25	comparative	comparative	ADJ
cana-1222	213	26	analysis	analysis	NOUN
cana-1222	213	27	of	of	ADP
cana-1222	213	28	land	land	NOUN
cana-1222	213	29	cover	cover	NOUN
cana-1222	213	30	categorization	categorization	NOUN
cana-1222	213	31	algorithms	algorithm	NOUN
cana-1222	213	32	offer	offer	VERB
cana-1222	213	33	useful	useful	ADJ
cana-1222	213	34	insights	insight	NOUN
cana-1222	213	35	into	into	ADP
cana-1222	213	36	their	their	PRON
cana-1222	213	37	performance	performance	NOUN
cana-1222	213	38	.	.	PUNCT
cana-1222	214	1	commencing	commence	VERB
cana-1222	214	2	with	with	ADP
cana-1222	214	3	ccnn	ccnn	PROPN
cana-1222	214	4	,	,	PUNCT
cana-1222	214	5	the	the	DET
cana-1222	214	6	algorithm	algorithm	NOUN
cana-1222	214	7	exhibits	exhibit	VERB
cana-1222	214	8	a	a	DET
cana-1222	214	9	commendable	commendable	ADJ
cana-1222	214	10	accuracy	accuracy	NOUN
cana-1222	214	11	of	of	ADP
cana-1222	214	12	86	86	NUM
cana-1222	214	13	%	%	NOUN
cana-1222	214	14	,	,	PUNCT
cana-1222	214	15	but	but	CCONJ
cana-1222	214	16	,	,	PUNCT
cana-1222	214	17	its	its	PRON
cana-1222	214	18	precision	precision	NOUN
cana-1222	214	19	and	and	CCONJ
cana-1222	214	20	recall	recall	VERB
cana-1222	214	21	somewhat	somewhat	ADV
cana-1222	214	22	fall	fall	VERB
cana-1222	214	23	behind	behind	ADV
cana-1222	214	24	,	,	PUNCT
cana-1222	214	25	indicating	indicate	VERB
cana-1222	214	26	a	a	DET
cana-1222	214	27	possibility	possibility	NOUN
cana-1222	214	28	of	of	ADP
cana-1222	214	29	overlooking	overlook	VERB
cana-1222	214	30	occurrences	occurrence	NOUN
cana-1222	214	31	and	and	CCONJ
cana-1222	214	32	generating	generate	VERB
cana-1222	214	33	incorrect	incorrect	ADJ
cana-1222	214	34	positives	positive	NOUN
cana-1222	214	35	.	.	PUNCT
cana-1222	215	1	cnn	cnn	PROPN
cana-1222	215	2	demonstrates	demonstrate	VERB
cana-1222	215	3	an	an	DET
cana-1222	215	4	accuracy	accuracy	NOUN
cana-1222	215	5	of	of	ADP
cana-1222	215	6	88.23	88.23	NUM
cana-1222	215	7	%	%	NOUN
cana-1222	215	8	,	,	PUNCT
cana-1222	215	9	achieving	achieve	VERB
cana-1222	215	10	a	a	DET
cana-1222	215	11	more	more	ADV
cana-1222	215	12	favorable	favorable	ADJ
cana-1222	215	13	equilibrium	equilibrium	NOUN
cana-1222	215	14	between	between	ADP
cana-1222	215	15	precision	precision	NOUN
cana-1222	215	16	and	and	CCONJ
cana-1222	215	17	recall	recall	NOUN
cana-1222	215	18	,	,	PUNCT
cana-1222	215	19	which	which	PRON
cana-1222	215	20	suggests	suggest	VERB
cana-1222	215	21	enhanced	enhanced	ADJ
cana-1222	215	22	accuracy	accuracy	NOUN
cana-1222	215	23	in	in	ADP
cana-1222	215	24	positive	positive	ADJ
cana-1222	215	25	predictions	prediction	NOUN
cana-1222	215	26	.	.	PUNCT
cana-1222	216	1	vgg16	vgg16	NOUN
cana-1222	216	2	significantly	significantly	ADV
cana-1222	216	3	enhances	enhance	VERB
cana-1222	216	4	its	its	PRON
cana-1222	216	5	performance	performance	NOUN
cana-1222	216	6	,	,	PUNCT
cana-1222	216	7	reaching	reach	VERB
cana-1222	216	8	an	an	DET
cana-1222	216	9	accuracy	accuracy	NOUN
cana-1222	216	10	of	of	ADP
cana-1222	216	11	89	89	NUM
cana-1222	216	12	%	%	NOUN
cana-1222	216	13	while	while	SCONJ
cana-1222	216	14	also	also	ADV
cana-1222	216	15	improving	improve	VERB
cana-1222	216	16	precision	precision	NOUN
cana-1222	216	17	and	and	CCONJ
cana-1222	216	18	recall	recall	NOUN
cana-1222	216	19	.	.	PUNCT
cana-1222	217	1	the	the	DET
cana-1222	217	2	modified	modify	VERB
cana-1222	217	3	vgg16	vgg16	NOUN
cana-1222	217	4	stands	stand	VERB
cana-1222	217	5	out	out	ADP
cana-1222	217	6	as	as	ADP
cana-1222	217	7	the	the	DET
cana-1222	217	8	most	most	ADV
cana-1222	217	9	remarkable	remarkable	ADJ
cana-1222	217	10	performer	performer	NOUN
cana-1222	217	11	,	,	PUNCT
cana-1222	217	12	with	with	ADP
cana-1222	217	13	an	an	DET
cana-1222	217	14	amazing	amazing	ADJ
cana-1222	217	15	accuracy	accuracy	NOUN
cana-1222	217	16	of	of	ADP
cana-1222	217	17	97.34	97.34	NUM
cana-1222	217	18	%	%	NOUN
cana-1222	217	19	,	,	PUNCT
cana-1222	217	20	precision	precision	NOUN
cana-1222	217	21	of	of	ADP
cana-1222	217	22	94.3	94.3	NUM
cana-1222	217	23	%	%	NOUN
cana-1222	217	24	,	,	PUNCT
cana-1222	217	25	and	and	CCONJ
cana-1222	217	26	recall	recall	NOUN
cana-1222	217	27	of	of	ADP
cana-1222	217	28	95.3	95.3	NUM
cana-1222	217	29	%	%	NOUN
cana-1222	217	30	.	.	PUNCT
cana-1222	218	1	the	the	DET
cana-1222	218	2	significant	significant	ADJ
cana-1222	218	3	enhancement	enhancement	NOUN
cana-1222	218	4	underscores	underscore	VERB
cana-1222	218	5	the	the	DET
cana-1222	218	6	efficacy	efficacy	NOUN
cana-1222	218	7	of	of	ADP
cana-1222	218	8	the	the	DET
cana-1222	218	9	alterations	alteration	NOUN
cana-1222	218	10	implemented	implement	VERB
cana-1222	218	11	to	to	ADP
cana-1222	218	12	the	the	DET
cana-1222	218	13	vgg16	vgg16	NOUN
cana-1222	218	14	model	model	NOUN
cana-1222	218	15	,	,	PUNCT
cana-1222	218	16	rendering	render	VERB
cana-1222	218	17	it	it	PRON
cana-1222	218	18	an	an	DET
cana-1222	218	19	exceptional	exceptional	ADJ
cana-1222	218	20	option	option	NOUN
cana-1222	218	21	for	for	ADP
cana-1222	218	22	land	land	NOUN
cana-1222	218	23	cover	cover	NOUN
cana-1222	218	24	classification	classification	NOUN
cana-1222	218	25	tasks	task	NOUN
cana-1222	218	26	.	.	PUNCT
cana-1222	219	1	to	to	PART
cana-1222	219	2	summarize	summarize	VERB
cana-1222	219	3	,	,	PUNCT
cana-1222	219	4	the	the	DET
cana-1222	219	5	algorithms	algorithm	NOUN
cana-1222	219	6	demonstrate	demonstrate	VERB
cana-1222	219	7	a	a	DET
cana-1222	219	8	gradual	gradual	ADJ
cana-1222	219	9	improvement	improvement	NOUN
cana-1222	219	10	in	in	ADP
cana-1222	219	11	performance	performance	NOUN
cana-1222	219	12	,	,	PUNCT
cana-1222	219	13	with	with	ADP
cana-1222	219	14	modified	modify	VERB
cana-1222	219	15	vgg16	vgg16	NOUN
cana-1222	219	16	emerging	emerge	VERB
cana-1222	219	17	as	as	ADP
cana-1222	219	18	the	the	DET
cana-1222	219	19	most	most	ADV
cana-1222	219	20	resilient	resilient	ADJ
cana-1222	219	21	choice	choice	NOUN
cana-1222	219	22	,	,	PUNCT
cana-1222	219	23	providing	provide	VERB
cana-1222	219	24	exceptional	exceptional	ADJ
cana-1222	219	25	accuracy	accuracy	NOUN
cana-1222	219	26	and	and	CCONJ
cana-1222	219	27	a	a	DET
cana-1222	219	28	balanced	balanced	ADJ
cana-1222	219	29	compromise	compromise	NOUN
cana-1222	219	30	between	between	ADP
cana-1222	219	31	precision	precision	NOUN
cana-1222	219	32	and	and	CCONJ
cana-1222	219	33	recall	recall	NOUN
cana-1222	219	34	.	.	PUNCT
cana-1222	220	1	the	the	DET
cana-1222	220	2	selection	selection	NOUN
cana-1222	220	3	of	of	ADP
cana-1222	220	4	the	the	DET
cana-1222	220	5	algorithm	algorithm	NOUN
cana-1222	220	6	ultimately	ultimately	ADV
cana-1222	220	7	depends	depend	VERB
cana-1222	220	8	on	on	ADP
cana-1222	220	9	the	the	DET
cana-1222	220	10	precise	precise	ADJ
cana-1222	220	11	needs	need	NOUN
cana-1222	220	12	and	and	CCONJ
cana-1222	220	13	priorities	priority	NOUN
cana-1222	220	14	of	of	ADP
cana-1222	220	15	the	the	DET
cana-1222	220	16	land	land	NOUN
cana-1222	220	17	cover	cover	VERB
cana-1222	220	18	classification	classification	NOUN
cana-1222	220	19	application	application	NOUN
cana-1222	220	20	.	.	PUNCT
cana-1222	221	1	5	5	X
cana-1222	221	2	.	.	X
cana-1222	221	3	conclusion	conclusion	VERB
cana-1222	221	4	the	the	DET
cana-1222	221	5	combination	combination	NOUN
cana-1222	221	6	of	of	ADP
cana-1222	221	7	remote	remote	ADJ
cana-1222	221	8	sensing	sensing	NOUN
cana-1222	221	9	,	,	PUNCT
cana-1222	221	10	geospatial	geospatial	ADJ
cana-1222	221	11	intelligence	intelligence	NOUN
cana-1222	221	12	(	(	PUNCT
cana-1222	221	13	geoint	geoint	NOUN
cana-1222	221	14	)	)	PUNCT
cana-1222	221	15	,	,	PUNCT
cana-1222	221	16	and	and	CCONJ
cana-1222	221	17	artificial	artificial	ADJ
cana-1222	221	18	intelligence	intelligence	NOUN
cana-1222	221	19	(	(	PUNCT
cana-1222	221	20	ai	ai	NOUN
cana-1222	221	21	)	)	PUNCT
cana-1222	221	22	for	for	ADP
cana-1222	221	23	land	land	NOUN
cana-1222	221	24	cover	cover	NOUN
cana-1222	221	25	classification	classification	NOUN
cana-1222	221	26	is	be	AUX
cana-1222	221	27	a	a	DET
cana-1222	221	28	highly	highly	ADV
cana-1222	221	29	effective	effective	ADJ
cana-1222	221	30	approach	approach	NOUN
cana-1222	221	31	to	to	PART
cana-1222	221	32	improve	improve	VERB
cana-1222	221	33	environmental	environmental	ADJ
cana-1222	221	34	monitoring	monitoring	NOUN
cana-1222	221	35	.	.	PUNCT
cana-1222	222	1	the	the	DET
cana-1222	222	2	implementation	implementation	NOUN
cana-1222	222	3	of	of	ADP
cana-1222	222	4	a	a	DET
cana-1222	222	5	modified	modify	VERB
cana-1222	222	6	vgg16	vgg16	NOUN
cana-1222	222	7	model	model	NOUN
cana-1222	222	8	demonstrates	demonstrate	VERB
cana-1222	222	9	exceptional	exceptional	ADJ
cana-1222	222	10	precision	precision	NOUN
cana-1222	222	11	,	,	PUNCT
cana-1222	222	12	with	with	ADP
cana-1222	222	13	an	an	DET
cana-1222	222	14	accuracy	accuracy	NOUN
cana-1222	222	15	rate	rate	NOUN
cana-1222	222	16	of	of	ADP
cana-1222	222	17	97.34	97.34	NUM
cana-1222	222	18	%	%	NOUN
cana-1222	222	19	,	,	PUNCT
cana-1222	222	20	surpassing	surpass	VERB
cana-1222	222	21	conventional	conventional	ADJ
cana-1222	222	22	approaches	approach	NOUN
cana-1222	222	23	.	.	PUNCT
cana-1222	223	1	by	by	ADP
cana-1222	223	2	adopting	adopt	VERB
cana-1222	223	3	a	a	DET
cana-1222	223	4	collaborative	collaborative	ADJ
cana-1222	223	5	approach	approach	NOUN
cana-1222	223	6	,	,	PUNCT
cana-1222	223	7	the	the	DET
cana-1222	223	8	process	process	NOUN
cana-1222	223	9	of	of	ADP
cana-1222	223	10	acquiring	acquire	VERB
cana-1222	223	11	data	datum	NOUN
cana-1222	223	12	,	,	PUNCT
cana-1222	223	13	doing	do	VERB
cana-1222	223	14	geographical	geographical	ADJ
cana-1222	223	15	analysis	analysis	NOUN
cana-1222	223	16	,	,	PUNCT
cana-1222	223	17	and	and	CCONJ
cana-1222	223	18	creating	create	VERB
cana-1222	223	19	prediction	prediction	NOUN
cana-1222	223	20	models	model	NOUN
cana-1222	223	21	is	be	AUX
cana-1222	223	22	made	make	VERB
cana-1222	223	23	more	more	ADV
cana-1222	223	24	efficient	efficient	ADJ
cana-1222	223	25	.	.	PUNCT
cana-1222	224	1	this	this	PRON
cana-1222	224	2	leads	lead	VERB
cana-1222	224	3	to	to	ADP
cana-1222	224	4	improved	improved	ADJ
cana-1222	224	5	accuracy	accuracy	NOUN
cana-1222	224	6	and	and	CCONJ
cana-1222	224	7	timeliness	timeliness	NOUN
cana-1222	224	8	in	in	ADP
cana-1222	224	9	monitoring	monitor	VERB
cana-1222	224	10	activities	activity	NOUN
cana-1222	224	11	.	.	PUNCT
cana-1222	225	1	potential	potential	ADJ
cana-1222	225	2	future	future	ADJ
cana-1222	225	3	improvements	improvement	NOUN
cana-1222	225	4	may	may	AUX
cana-1222	225	5	involve	involve	VERB
cana-1222	225	6	optimizing	optimize	VERB
cana-1222	225	7	algorithms	algorithm	NOUN
cana-1222	225	8	to	to	PART
cana-1222	225	9	boost	boost	VERB
cana-1222	225	10	flexibility	flexibility	NOUN
cana-1222	225	11	in	in	ADP
cana-1222	225	12	various	various	ADJ
cana-1222	225	13	environmental	environmental	ADJ
cana-1222	225	14	situations	situation	NOUN
cana-1222	225	15	,	,	PUNCT
cana-1222	225	16	tackling	tackle	VERB
cana-1222	225	17	issues	issue	NOUN
cana-1222	225	18	related	relate	VERB
cana-1222	225	19	to	to	ADP
cana-1222	225	20	data	datum	NOUN
cana-1222	225	21	integration	integration	NOUN
cana-1222	225	22	,	,	PUNCT
cana-1222	225	23	and	and	CCONJ
cana-1222	225	24	guaranteeing	guarantee	VERB
cana-1222	225	25	the	the	DET
cana-1222	225	26	ethical	ethical	ADJ
cana-1222	225	27	implementation	implementation	NOUN
cana-1222	225	28	of	of	ADP
cana-1222	225	29	technology	technology	NOUN
cana-1222	225	30	.	.	PUNCT
cana-1222	226	1	this	this	DET
cana-1222	226	2	study	study	NOUN
cana-1222	226	3	highlights	highlight	VERB
cana-1222	226	4	the	the	DET
cana-1222	226	5	significant	significant	ADJ
cana-1222	226	6	influence	influence	NOUN
cana-1222	226	7	of	of	ADP
cana-1222	226	8	this	this	DET
cana-1222	226	9	approach	approach	NOUN
cana-1222	226	10	on	on	ADP
cana-1222	226	11	the	the	DET
cana-1222	226	12	sustainable	sustainable	ADJ
cana-1222	226	13	management	management	NOUN
cana-1222	226	14	of	of	ADP
cana-1222	226	15	resources	resource	NOUN
cana-1222	226	16	and	and	CCONJ
cana-1222	226	17	proactive	proactive	ADJ
cana-1222	226	18	decision	decision	NOUN
cana-1222	226	19	-	-	PUNCT
cana-1222	226	20	making	making	NOUN
cana-1222	226	21	.	.	PUNCT
cana-1222	227	1	it	it	PRON
cana-1222	227	2	emphasizes	emphasize	VERB
cana-1222	227	3	the	the	DET
cana-1222	227	4	importance	importance	NOUN
cana-1222	227	5	of	of	ADP
cana-1222	227	6	continuous	continuous	ADJ
cana-1222	227	7	collaboration	collaboration	NOUN
cana-1222	227	8	among	among	ADP
cana-1222	227	9	stakeholders	stakeholder	NOUN
cana-1222	227	10	to	to	PART
cana-1222	227	11	fully	fully	ADV
cana-1222	227	12	utilize	utilize	VERB
cana-1222	227	13	the	the	DET
cana-1222	227	14	capabilities	capability	NOUN
cana-1222	227	15	of	of	ADP
cana-1222	227	16	modern	modern	ADJ
cana-1222	227	17	technologies	technology	NOUN
cana-1222	227	18	in	in	ADP
cana-1222	227	19	environmental	environmental	ADJ
cana-1222	227	20	stewardship	stewardship	NOUN
cana-1222	227	21	.	.	PUNCT
cana-1222	228	1	communications	communication	NOUN
cana-1222	228	2	on	on	ADP
cana-1222	228	3	applied	apply	VERB
cana-1222	228	4	nonlinear	nonlinear	ADJ
cana-1222	228	5	analysis	analysis	NOUN
cana-1222	228	6	issn	issn	NOUN
cana-1222	228	7	:	:	PUNCT
cana-1222	228	8	1074	1074	NUM
cana-1222	228	9	-	-	PUNCT
cana-1222	228	10	133x	133x	NUM
cana-1222	228	11	vol	vol	NOUN
cana-1222	228	12	31	31	NUM
cana-1222	228	13	no	no	NOUN
cana-1222	228	14	.	.	PUNCT
cana-1222	229	1	6s	6s	NUM
cana-1222	229	2	(	(	PUNCT
cana-1222	229	3	2024	2024	NUM
cana-1222	229	4	)	)	PUNCT
cana-1222	229	5	292	292	NUM
cana-1222	229	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1222	229	7	future	future	ADJ
cana-1222	229	8	advancements	advancement	NOUN
cana-1222	229	9	in	in	ADP
cana-1222	229	10	land	land	NOUN
cana-1222	229	11	cover	cover	NOUN
cana-1222	229	12	classification	classification	NOUN
cana-1222	229	13	entail	entail	NOUN
cana-1222	229	14	improving	improve	VERB
cana-1222	229	15	artificial	artificial	ADJ
cana-1222	229	16	intelligence	intelligence	NOUN
cana-1222	229	17	algorithms	algorithm	NOUN
cana-1222	229	18	such	such	ADJ
cana-1222	229	19	as	as	ADP
cana-1222	229	20	the	the	DET
cana-1222	229	21	modified	modified	ADJ
cana-1222	229	22	vgg16	vgg16	NOUN
cana-1222	229	23	to	to	PART
cana-1222	229	24	better	well	ADV
cana-1222	229	25	handle	handle	VERB
cana-1222	229	26	various	various	ADJ
cana-1222	229	27	environmental	environmental	ADJ
cana-1222	229	28	conditions	condition	NOUN
cana-1222	229	29	.	.	PUNCT
cana-1222	230	1	this	this	PRON
cana-1222	230	2	includes	include	VERB
cana-1222	230	3	implementing	implement	VERB
cana-1222	230	4	standardized	standardized	ADJ
cana-1222	230	5	protocols	protocol	NOUN
cana-1222	230	6	for	for	ADP
cana-1222	230	7	integrating	integrate	VERB
cana-1222	230	8	data	datum	NOUN
cana-1222	230	9	,	,	PUNCT
cana-1222	230	10	enabling	enable	VERB
cana-1222	230	11	real	real	ADJ
cana-1222	230	12	-	-	PUNCT
cana-1222	230	13	time	time	NOUN
cana-1222	230	14	monitoring	monitoring	NOUN
cana-1222	230	15	,	,	PUNCT
cana-1222	230	16	ensuring	ensure	VERB
cana-1222	230	17	ethical	ethical	ADJ
cana-1222	230	18	practices	practice	NOUN
cana-1222	230	19	in	in	ADP
cana-1222	230	20	artificial	artificial	ADJ
cana-1222	230	21	intelligence	intelligence	NOUN
cana-1222	230	22	,	,	PUNCT
cana-1222	230	23	promoting	promote	VERB
cana-1222	230	24	collaboration	collaboration	NOUN
cana-1222	230	25	across	across	ADP
cana-1222	230	26	different	different	ADJ
cana-1222	230	27	fields	field	NOUN
cana-1222	230	28	of	of	ADP
cana-1222	230	29	study	study	NOUN
cana-1222	230	30	,	,	PUNCT
cana-1222	230	31	creating	create	VERB
cana-1222	230	32	user	user	NOUN
cana-1222	230	33	-	-	PUNCT
cana-1222	230	34	friendly	friendly	ADJ
cana-1222	230	35	interfaces	interface	NOUN
cana-1222	230	36	,	,	PUNCT
cana-1222	230	37	providing	provide	VERB
cana-1222	230	38	ongoing	ongoing	ADJ
cana-1222	230	39	training	training	NOUN
cana-1222	230	40	,	,	PUNCT
cana-1222	230	41	ensuring	ensure	VERB
cana-1222	230	42	scalability	scalability	NOUN
cana-1222	230	43	,	,	PUNCT
cana-1222	230	44	and	and	CCONJ
cana-1222	230	45	raising	raise	VERB
cana-1222	230	46	public	public	ADJ
cana-1222	230	47	awareness	awareness	NOUN
cana-1222	230	48	about	about	ADP
cana-1222	230	49	the	the	DET
cana-1222	230	50	importance	importance	NOUN
cana-1222	230	51	of	of	ADP
cana-1222	230	52	sustainable	sustainable	ADJ
cana-1222	230	53	environmental	environmental	ADJ
cana-1222	230	54	monitoring	monitoring	NOUN
cana-1222	230	55	.	.	PUNCT
cana-1222	231	1	reference	reference	NOUN
cana-1222	231	2	[	[	X
cana-1222	231	3	1	1	NUM
cana-1222	231	4	]	]	X
cana-1222	231	5	wang	wang	PROPN
cana-1222	231	6	,	,	PUNCT
cana-1222	231	7	l.	l.	PROPN
cana-1222	231	8	,	,	PUNCT
cana-1222	231	9	wang	wang	PROPN
cana-1222	231	10	,	,	PUNCT
cana-1222	231	11	j.	j.	PROPN
cana-1222	231	12	,	,	PUNCT
cana-1222	231	13	liu	liu	PROPN
cana-1222	231	14	,	,	PUNCT
cana-1222	231	15	z.	z.	PROPN
cana-1222	231	16	,	,	PUNCT
cana-1222	231	17	zhu	zhu	PROPN
cana-1222	231	18	,	,	PUNCT
cana-1222	231	19	j.	j.	PROPN
cana-1222	231	20	,	,	PUNCT
cana-1222	231	21	&	&	CCONJ
cana-1222	231	22	qin	qin	PROPN
cana-1222	231	23	,	,	PUNCT
cana-1222	231	24	f.	f.	PROPN
cana-1222	231	25	(	(	PUNCT
cana-1222	231	26	2022	2022	NUM
cana-1222	231	27	)	)	PUNCT
cana-1222	231	28	.	.	PUNCT
cana-1222	232	1	evaluation	evaluation	NOUN
cana-1222	232	2	of	of	ADP
cana-1222	232	3	a	a	DET
cana-1222	232	4	deep	deep	ADJ
cana-1222	232	5	-	-	PUNCT
cana-1222	232	6	learning	learn	VERB
cana-1222	232	7	model	model	NOUN
cana-1222	232	8	for	for	ADP
cana-1222	232	9	multispectral	multispectral	ADJ
cana-1222	232	10	remote	remote	ADJ
cana-1222	232	11	sensing	sensing	NOUN
cana-1222	232	12	of	of	ADP
cana-1222	232	13	land	land	NOUN
cana-1222	232	14	use	use	NOUN
cana-1222	232	15	and	and	CCONJ
cana-1222	232	16	crop	crop	NOUN
cana-1222	232	17	classification	classification	NOUN
cana-1222	232	18	.	.	PUNCT
cana-1222	233	1	the	the	DET
cana-1222	233	2	crop	crop	NOUN
cana-1222	233	3	journal	journal	NOUN
cana-1222	233	4	,	,	PUNCT
cana-1222	233	5	10(5	10(5	NUM
cana-1222	233	6	)	)	PUNCT
cana-1222	233	7	,	,	PUNCT
cana-1222	233	8	1435	1435	NUM
cana-1222	233	9	-	-	SYM
cana-1222	233	10	1451	1451	NUM
cana-1222	233	11	.	.	PUNCT
cana-1222	234	1	[	[	X
cana-1222	234	2	2	2	NUM
cana-1222	234	3	]	]	X
cana-1222	234	4	luo	luo	PROPN
cana-1222	234	5	,	,	PUNCT
cana-1222	234	6	m.	m.	NOUN
cana-1222	234	7	,	,	PUNCT
cana-1222	234	8	&	&	CCONJ
cana-1222	234	9	ji	ji	PROPN
cana-1222	234	10	,	,	PUNCT
cana-1222	234	11	s.	s.	PROPN
cana-1222	234	12	(	(	PUNCT
cana-1222	234	13	2022	2022	NUM
cana-1222	234	14	)	)	PUNCT
cana-1222	234	15	.	.	PUNCT
cana-1222	235	1	cross	cross	ADJ
cana-1222	235	2	-	-	ADJ
cana-1222	235	3	spatiotemporal	spatiotemporal	ADJ
cana-1222	235	4	land	land	NOUN
cana-1222	235	5	-	-	PUNCT
cana-1222	235	6	cover	cover	NOUN
cana-1222	235	7	classification	classification	NOUN
cana-1222	235	8	from	from	ADP
cana-1222	235	9	vhr	vhr	NOUN
cana-1222	235	10	remote	remote	ADJ
cana-1222	235	11	sensing	sensing	NOUN
cana-1222	235	12	images	image	NOUN
cana-1222	235	13	with	with	ADP
cana-1222	235	14	deep	deep	ADJ
cana-1222	235	15	learning	learning	NOUN
cana-1222	235	16	based	base	VERB
cana-1222	235	17	domain	domain	NOUN
cana-1222	235	18	adaptation	adaptation	NOUN
cana-1222	235	19	.	.	PUNCT
cana-1222	236	1	isprs	isprs	NOUN
cana-1222	236	2	journal	journal	PROPN
cana-1222	236	3	of	of	ADP
cana-1222	236	4	photogrammetry	photogrammetry	NOUN
cana-1222	236	5	and	and	CCONJ
cana-1222	236	6	remote	remote	ADJ
cana-1222	236	7	sensing	sensing	NOUN
cana-1222	236	8	,	,	PUNCT
cana-1222	236	9	191	191	NUM
cana-1222	236	10	,	,	PUNCT
cana-1222	236	11	105	105	NUM
cana-1222	236	12	-	-	SYM
cana-1222	236	13	128	128	NUM
cana-1222	236	14	.	.	PUNCT
cana-1222	237	1	[	[	X
cana-1222	237	2	3	3	NUM
cana-1222	237	3	]	]	X
cana-1222	237	4	zhao	zhao	X
cana-1222	237	5	,	,	PUNCT
cana-1222	237	6	y.	y.	PROPN
cana-1222	237	7	,	,	PUNCT
cana-1222	237	8	zhang	zhang	PROPN
cana-1222	237	9	,	,	PUNCT
cana-1222	237	10	x.	x.	PROPN
cana-1222	237	11	,	,	PUNCT
cana-1222	237	12	feng	feng	PROPN
cana-1222	237	13	,	,	PUNCT
cana-1222	237	14	w.	w.	PROPN
cana-1222	237	15	,	,	PUNCT
cana-1222	237	16	&	&	CCONJ
cana-1222	237	17	xu	xu	PROPN
cana-1222	237	18	,	,	PUNCT
cana-1222	237	19	j.	j.	PROPN
cana-1222	237	20	(	(	PUNCT
cana-1222	237	21	2022	2022	NUM
cana-1222	237	22	)	)	PUNCT
cana-1222	237	23	.	.	PUNCT
cana-1222	238	1	deep	deep	ADJ
cana-1222	238	2	learning	learn	VERB
cana-1222	238	3	classification	classification	NOUN
cana-1222	238	4	by	by	ADP
cana-1222	238	5	resnet-18	resnet-18	PROPN
cana-1222	238	6	based	base	VERB
cana-1222	238	7	on	on	ADP
cana-1222	238	8	the	the	DET
cana-1222	238	9	real	real	ADJ
cana-1222	238	10	spectral	spectral	ADJ
cana-1222	238	11	dataset	dataset	NOUN
cana-1222	238	12	from	from	ADP
cana-1222	238	13	multispectral	multispectral	ADJ
cana-1222	238	14	remote	remote	ADJ
cana-1222	238	15	sensing	sensing	NOUN
cana-1222	238	16	images	image	NOUN
cana-1222	238	17	.	.	PUNCT
cana-1222	239	1	remote	remote	ADJ
cana-1222	239	2	sensing	sensing	NOUN
cana-1222	239	3	,	,	PUNCT
cana-1222	239	4	14(19	14(19	NUM
cana-1222	239	5	)	)	PUNCT
cana-1222	239	6	,	,	PUNCT
cana-1222	239	7	4883	4883	NUM
cana-1222	239	8	.	.	PUNCT
cana-1222	240	1	[	[	X
cana-1222	240	2	4	4	NUM
cana-1222	240	3	]	]	X
cana-1222	240	4	chen	chen	PROPN
cana-1222	240	5	,	,	PUNCT
cana-1222	240	6	w.	w.	PROPN
cana-1222	240	7	,	,	PUNCT
cana-1222	240	8	ouyang	ouyang	PROPN
cana-1222	240	9	,	,	PUNCT
cana-1222	240	10	s.	s.	PROPN
cana-1222	240	11	,	,	PUNCT
cana-1222	240	12	tong	tong	PROPN
cana-1222	240	13	,	,	PUNCT
cana-1222	240	14	w.	w.	PROPN
cana-1222	240	15	,	,	PUNCT
cana-1222	240	16	li	li	PROPN
cana-1222	240	17	,	,	PUNCT
cana-1222	240	18	x.	x.	PROPN
cana-1222	240	19	,	,	PUNCT
cana-1222	240	20	zheng	zheng	PROPN
cana-1222	240	21	,	,	PUNCT
cana-1222	240	22	x.	x.	PROPN
cana-1222	240	23	,	,	PUNCT
cana-1222	240	24	&	&	CCONJ
cana-1222	240	25	wang	wang	PROPN
cana-1222	240	26	,	,	PUNCT
cana-1222	240	27	l.	l.	PROPN
cana-1222	240	28	(	(	PUNCT
cana-1222	240	29	2022	2022	NUM
cana-1222	240	30	)	)	PUNCT
cana-1222	240	31	.	.	PUNCT
cana-1222	241	1	gcsanet	gcsanet	NOUN
cana-1222	241	2	:	:	PUNCT
cana-1222	241	3	a	a	DET
cana-1222	241	4	global	global	ADJ
cana-1222	241	5	context	context	NOUN
cana-1222	241	6	spatial	spatial	ADJ
cana-1222	241	7	attention	attention	NOUN
cana-1222	241	8	deep	deep	ADJ
cana-1222	241	9	learning	learning	NOUN
cana-1222	241	10	network	network	NOUN
cana-1222	241	11	for	for	ADP
cana-1222	241	12	remote	remote	ADJ
cana-1222	241	13	sensing	sense	VERB
cana-1222	241	14	scene	scene	NOUN
cana-1222	241	15	classification	classification	NOUN
cana-1222	241	16	.	.	PUNCT
cana-1222	242	1	ieee	ieee	PROPN
cana-1222	242	2	journal	journal	PROPN
cana-1222	242	3	of	of	ADP
cana-1222	242	4	selected	select	VERB
cana-1222	242	5	topics	topic	NOUN
cana-1222	242	6	in	in	ADP
cana-1222	242	7	applied	apply	VERB
cana-1222	242	8	earth	earth	NOUN
cana-1222	242	9	observations	observation	NOUN
cana-1222	242	10	and	and	CCONJ
cana-1222	242	11	remote	remote	ADJ
cana-1222	242	12	sensing	sensing	NOUN
cana-1222	242	13	,	,	PUNCT
cana-1222	242	14	15	15	NUM
cana-1222	242	15	,	,	PUNCT
cana-1222	242	16	1150	1150	NUM
cana-1222	242	17	-	-	SYM
cana-1222	242	18	1162	1162	NUM
cana-1222	242	19	.	.	PUNCT
cana-1222	243	1	[	[	X
cana-1222	243	2	5	5	NUM
cana-1222	243	3	]	]	X
cana-1222	243	4	mehmood	mehmood	PROPN
cana-1222	243	5	,	,	PUNCT
cana-1222	243	6	m.	m.	NOUN
cana-1222	243	7	,	,	PUNCT
cana-1222	243	8	shahzad	shahzad	PROPN
cana-1222	243	9	,	,	PUNCT
cana-1222	243	10	a.	a.	PROPN
cana-1222	243	11	,	,	PUNCT
cana-1222	243	12	zafar	zafar	PROPN
cana-1222	243	13	,	,	PUNCT
cana-1222	243	14	b.	b.	PROPN
cana-1222	243	15	,	,	PUNCT
cana-1222	243	16	shabbir	shabbir	PROPN
cana-1222	243	17	,	,	PUNCT
cana-1222	243	18	a.	a.	PROPN
cana-1222	243	19	,	,	PUNCT
cana-1222	243	20	&	&	CCONJ
cana-1222	243	21	ali	ali	PROPN
cana-1222	243	22	,	,	PUNCT
cana-1222	243	23	n.	n.	PROPN
cana-1222	243	24	(	(	PUNCT
cana-1222	243	25	2022	2022	NUM
cana-1222	243	26	)	)	PUNCT
cana-1222	243	27	.	.	PUNCT
cana-1222	244	1	remote	remote	ADJ
cana-1222	244	2	sensing	sense	VERB
cana-1222	244	3	image	image	NOUN
cana-1222	244	4	classification	classification	NOUN
cana-1222	244	5	:	:	PUNCT
cana-1222	244	6	a	a	DET
cana-1222	244	7	comprehensive	comprehensive	ADJ
cana-1222	244	8	review	review	NOUN
cana-1222	244	9	and	and	CCONJ
cana-1222	244	10	applications	application	NOUN
cana-1222	244	11	.	.	PUNCT
cana-1222	245	1	mathematical	mathematical	ADJ
cana-1222	245	2	problems	problem	NOUN
cana-1222	245	3	in	in	ADP
cana-1222	245	4	engineering	engineering	NOUN
cana-1222	245	5	,	,	PUNCT
cana-1222	245	6	2022	2022	NUM
cana-1222	245	7	,	,	PUNCT
cana-1222	245	8	1	1	NUM
cana-1222	245	9	-	-	SYM
cana-1222	245	10	24	24	NUM
cana-1222	245	11	.	.	PUNCT
cana-1222	246	1	[	[	X
cana-1222	246	2	6	6	NUM
cana-1222	246	3	]	]	PUNCT
cana-1222	246	4	meraj	meraj	NOUN
cana-1222	246	5	,	,	PUNCT
cana-1222	246	6	g.	g.	PROPN
cana-1222	246	7	,	,	PUNCT
cana-1222	246	8	kanga	kanga	PROPN
cana-1222	246	9	,	,	PUNCT
cana-1222	246	10	s.	s.	PROPN
cana-1222	246	11	,	,	PUNCT
cana-1222	246	12	ambadkar	ambadkar	PROPN
cana-1222	246	13	,	,	PUNCT
cana-1222	246	14	a.	a.	PROPN
cana-1222	246	15	,	,	PUNCT
cana-1222	246	16	kumar	kumar	PROPN
cana-1222	246	17	,	,	PUNCT
cana-1222	246	18	p.	p.	PROPN
cana-1222	246	19	,	,	PUNCT
cana-1222	246	20	singh	singh	PROPN
cana-1222	246	21	,	,	PUNCT
cana-1222	246	22	s.	s.	PROPN
cana-1222	246	23	k.	k.	PROPN
cana-1222	246	24	,	,	PUNCT
cana-1222	246	25	farooq	farooq	PROPN
cana-1222	246	26	,	,	PUNCT
cana-1222	246	27	m.	m.	NOUN
cana-1222	246	28	,	,	PUNCT
cana-1222	246	29	...	...	PUNCT
cana-1222	246	30	&	&	CCONJ
cana-1222	246	31	sahu	sahu	PROPN
cana-1222	246	32	,	,	PUNCT
cana-1222	246	33	n.	n.	PROPN
cana-1222	246	34	(	(	PUNCT
cana-1222	246	35	2022	2022	NUM
cana-1222	246	36	)	)	PUNCT
cana-1222	246	37	.	.	PUNCT
cana-1222	247	1	assessing	assess	VERB
cana-1222	247	2	the	the	DET
cana-1222	247	3	yield	yield	NOUN
cana-1222	247	4	of	of	ADP
cana-1222	247	5	wheat	wheat	NOUN
cana-1222	247	6	using	use	VERB
cana-1222	247	7	satellite	satellite	NOUN
cana-1222	247	8	remote	remote	ADJ
cana-1222	247	9	sensing	sensing	NOUN
cana-1222	247	10	-	-	PUNCT
cana-1222	247	11	based	base	VERB
cana-1222	247	12	machine	machine	NOUN
cana-1222	247	13	learning	learn	VERB
cana-1222	247	14	algorithms	algorithm	NOUN
cana-1222	247	15	and	and	CCONJ
cana-1222	247	16	simulation	simulation	NOUN
cana-1222	247	17	modeling	modeling	NOUN
cana-1222	247	18	.	.	PUNCT
cana-1222	248	1	remote	remote	ADJ
cana-1222	248	2	sensing	sensing	NOUN
cana-1222	248	3	,	,	PUNCT
cana-1222	248	4	14(13	14(13	NUM
cana-1222	248	5	)	)	PUNCT
cana-1222	248	6	,	,	PUNCT
cana-1222	248	7	3005	3005	NUM
cana-1222	248	8	.	.	PUNCT
cana-1222	249	1	[	[	X
cana-1222	249	2	7	7	NUM
cana-1222	249	3	]	]	X
cana-1222	249	4	goswami	goswami	NOUN
cana-1222	249	5	,	,	PUNCT
cana-1222	249	6	a.	a.	PROPN
cana-1222	249	7	,	,	PUNCT
cana-1222	249	8	sharma	sharma	PROPN
cana-1222	249	9	,	,	PUNCT
cana-1222	249	10	d.	d.	PROPN
cana-1222	249	11	,	,	PUNCT
cana-1222	249	12	mathuku	mathuku	NOUN
cana-1222	249	13	,	,	PUNCT
cana-1222	249	14	h.	h.	PROPN
cana-1222	249	15	,	,	PUNCT
cana-1222	249	16	gangadharan	gangadharan	NOUN
cana-1222	249	17	,	,	PUNCT
cana-1222	249	18	s.	s.	PROPN
cana-1222	249	19	m.	m.	PROPN
cana-1222	249	20	p.	p.	PROPN
cana-1222	249	21	,	,	PUNCT
cana-1222	249	22	yadav	yadav	PROPN
cana-1222	249	23	,	,	PUNCT
cana-1222	249	24	c.	c.	PROPN
cana-1222	249	25	s.	s.	PROPN
cana-1222	249	26	,	,	PUNCT
cana-1222	249	27	sahu	sahu	PROPN
cana-1222	249	28	,	,	PUNCT
cana-1222	249	29	s.	s.	PROPN
cana-1222	249	30	k.	k.	PROPN
cana-1222	249	31	,	,	PUNCT
cana-1222	249	32	...	...	PUNCT
cana-1222	249	33	&	&	CCONJ
cana-1222	249	34	imran	imran	PROPN
cana-1222	249	35	,	,	PUNCT
cana-1222	249	36	h.	h.	PROPN
cana-1222	249	37	(	(	PUNCT
cana-1222	249	38	2022	2022	NUM
cana-1222	249	39	)	)	PUNCT
cana-1222	249	40	.	.	PUNCT
cana-1222	250	1	change	change	NOUN
cana-1222	250	2	detection	detection	NOUN
cana-1222	250	3	in	in	ADP
cana-1222	250	4	remote	remote	ADJ
cana-1222	250	5	sensing	sense	VERB
cana-1222	250	6	image	image	NOUN
cana-1222	250	7	data	datum	NOUN
cana-1222	250	8	comparing	compare	VERB
cana-1222	250	9	algebraic	algebraic	ADJ
cana-1222	250	10	and	and	CCONJ
cana-1222	250	11	machine	machine	NOUN
cana-1222	250	12	learning	learning	NOUN
cana-1222	250	13	methods	method	NOUN
cana-1222	250	14	.	.	PUNCT
cana-1222	251	1	electronics	electronic	NOUN
cana-1222	251	2	,	,	PUNCT
cana-1222	251	3	11(3	11(3	NUM
cana-1222	251	4	)	)	PUNCT
cana-1222	251	5	,	,	PUNCT
cana-1222	251	6	431	431	NUM
cana-1222	251	7	.	.	PUNCT
cana-1222	252	1	[	[	X
cana-1222	252	2	8	8	NUM
cana-1222	252	3	]	]	X
cana-1222	252	4	gadamsetty	gadamsetty	PROPN
cana-1222	252	5	,	,	PUNCT
cana-1222	252	6	s.	s.	PROPN
cana-1222	252	7	,	,	PUNCT
cana-1222	252	8	ch	ch	PROPN
cana-1222	252	9	,	,	PUNCT
cana-1222	252	10	r.	r.	PROPN
cana-1222	252	11	,	,	PUNCT
cana-1222	252	12	ch	ch	NOUN
cana-1222	252	13	,	,	PUNCT
cana-1222	252	14	a.	a.	PROPN
cana-1222	252	15	,	,	PUNCT
cana-1222	252	16	iwendi	iwendi	PROPN
cana-1222	252	17	,	,	PUNCT
cana-1222	252	18	c.	c.	PROPN
cana-1222	252	19	,	,	PUNCT
cana-1222	252	20	&	&	CCONJ
cana-1222	252	21	gadekallu	gadekallu	PROPN
cana-1222	252	22	,	,	PUNCT
cana-1222	252	23	t.	t.	PROPN
cana-1222	252	24	r.	r.	PROPN
cana-1222	252	25	(	(	PUNCT
cana-1222	252	26	2022	2022	NUM
cana-1222	252	27	)	)	PUNCT
cana-1222	252	28	.	.	PUNCT
cana-1222	253	1	hash	hash	NOUN
cana-1222	253	2	-	-	PUNCT
cana-1222	253	3	based	base	VERB
cana-1222	253	4	deep	deep	ADJ
cana-1222	253	5	learning	learning	NOUN
cana-1222	253	6	approach	approach	NOUN
cana-1222	253	7	for	for	ADP
cana-1222	253	8	remote	remote	ADJ
cana-1222	253	9	sensing	sense	VERB
cana-1222	253	10	satellite	satellite	NOUN
cana-1222	253	11	imagery	imagery	NOUN
cana-1222	253	12	detection	detection	NOUN
cana-1222	253	13	.	.	PUNCT
cana-1222	254	1	water	water	NOUN
cana-1222	254	2	,	,	PUNCT
cana-1222	254	3	14(5	14(5	NUM
cana-1222	254	4	)	)	PUNCT
cana-1222	254	5	,	,	PUNCT
cana-1222	254	6	707	707	NUM
cana-1222	254	7	.	.	PUNCT
cana-1222	255	1	[	[	X
cana-1222	255	2	9	9	NUM
cana-1222	255	3	]	]	PUNCT
cana-1222	255	4	shafique	shafique	NOUN
cana-1222	255	5	,	,	PUNCT
cana-1222	255	6	a.	a.	NOUN
cana-1222	255	7	,	,	PUNCT
cana-1222	255	8	cao	cao	PROPN
cana-1222	255	9	,	,	PUNCT
cana-1222	255	10	g.	g.	PROPN
cana-1222	255	11	,	,	PUNCT
cana-1222	255	12	khan	khan	PROPN
cana-1222	255	13	,	,	PUNCT
cana-1222	255	14	z.	z.	PROPN
cana-1222	255	15	,	,	PUNCT
cana-1222	255	16	asad	asad	PROPN
cana-1222	255	17	,	,	PUNCT
cana-1222	255	18	m.	m.	NOUN
cana-1222	255	19	,	,	PUNCT
cana-1222	255	20	&	&	CCONJ
cana-1222	255	21	aslam	aslam	PROPN
cana-1222	255	22	,	,	PUNCT
cana-1222	255	23	m.	m.	NOUN
cana-1222	255	24	(	(	PUNCT
cana-1222	255	25	2022	2022	NUM
cana-1222	255	26	)	)	PUNCT
cana-1222	255	27	.	.	PUNCT
cana-1222	256	1	deep	deep	ADJ
cana-1222	256	2	learning	learning	NOUN
cana-1222	256	3	-	-	PUNCT
cana-1222	256	4	based	base	VERB
cana-1222	256	5	change	change	NOUN
cana-1222	256	6	detection	detection	NOUN
cana-1222	256	7	in	in	ADP
cana-1222	256	8	remote	remote	ADJ
cana-1222	256	9	sensing	sensing	NOUN
cana-1222	256	10	images	image	NOUN
cana-1222	256	11	:	:	PUNCT
cana-1222	256	12	a	a	DET
cana-1222	256	13	review	review	NOUN
cana-1222	256	14	.	.	PUNCT
cana-1222	257	1	remote	remote	ADJ
cana-1222	257	2	sensing	sensing	NOUN
cana-1222	257	3	,	,	PUNCT
cana-1222	257	4	14(4	14(4	NUM
cana-1222	257	5	)	)	PUNCT
cana-1222	257	6	,	,	PUNCT
cana-1222	257	7	871	871	NUM
cana-1222	257	8	.	.	PUNCT
cana-1222	258	1	[	[	X
cana-1222	258	2	10	10	NUM
cana-1222	258	3	]	]	X
cana-1222	258	4	krizhevsky	krizhevsky	NOUN
cana-1222	258	5	,	,	PUNCT
cana-1222	258	6	a.	a.	NOUN
cana-1222	258	7	,	,	PUNCT
cana-1222	258	8	sutskever	sutskever	PROPN
cana-1222	258	9	,	,	PUNCT
cana-1222	258	10	i.	i.	PROPN
cana-1222	258	11	,	,	PUNCT
cana-1222	258	12	&	&	CCONJ
cana-1222	258	13	hinton	hinton	PROPN
cana-1222	258	14	,	,	PUNCT
cana-1222	258	15	g.	g.	PROPN
cana-1222	258	16	e.	e.	PROPN
cana-1222	258	17	(	(	PUNCT
cana-1222	258	18	2012	2012	NUM
cana-1222	258	19	)	)	PUNCT
cana-1222	258	20	.	.	PUNCT
cana-1222	259	1	imagenet	imagenet	PROPN
cana-1222	259	2	classification	classification	NOUN
cana-1222	259	3	with	with	ADP
cana-1222	259	4	deep	deep	ADJ
cana-1222	259	5	convolutional	convolutional	ADJ
cana-1222	259	6	neural	neural	ADJ
cana-1222	259	7	networks	network	NOUN
cana-1222	259	8	.	.	PUNCT
cana-1222	260	1	advances	advance	NOUN
cana-1222	260	2	in	in	ADP
cana-1222	260	3	neural	neural	ADJ
cana-1222	260	4	information	information	NOUN
cana-1222	260	5	processing	processing	NOUN
cana-1222	260	6	systems	system	NOUN
cana-1222	260	7	,	,	PUNCT
cana-1222	260	8	25	25	NUM
cana-1222	260	9	.	.	PUNCT
cana-1222	261	1	[	[	X
cana-1222	261	2	11	11	NUM
cana-1222	261	3	]	]	X
cana-1222	261	4	hinton	hinton	PROPN
cana-1222	261	5	,	,	PUNCT
cana-1222	261	6	g.	g.	PROPN
cana-1222	261	7	e.	e.	PROPN
cana-1222	261	8	,	,	PUNCT
cana-1222	261	9	&	&	CCONJ
cana-1222	261	10	salakhutdinov	salakhutdinov	PROPN
cana-1222	261	11	,	,	PUNCT
cana-1222	261	12	r.	r.	PROPN
cana-1222	261	13	r.	r.	PROPN
cana-1222	261	14	(	(	PUNCT
cana-1222	261	15	2006	2006	NUM
cana-1222	261	16	)	)	PUNCT
cana-1222	261	17	.	.	PUNCT
cana-1222	262	1	reducing	reduce	VERB
cana-1222	262	2	the	the	DET
cana-1222	262	3	dimensionality	dimensionality	NOUN
cana-1222	262	4	of	of	ADP
cana-1222	262	5	data	datum	NOUN
cana-1222	262	6	with	with	ADP
cana-1222	262	7	neural	neural	ADJ
cana-1222	262	8	networks	network	NOUN
cana-1222	262	9	.	.	PUNCT
cana-1222	263	1	science	science	NOUN
cana-1222	263	2	,	,	PUNCT
cana-1222	263	3	313(5786	313(5786	NUM
cana-1222	263	4	)	)	PUNCT
cana-1222	263	5	,	,	PUNCT
cana-1222	263	6	504	504	NUM
cana-1222	263	7	-	-	SYM
cana-1222	263	8	507	507	NUM
cana-1222	263	9	.	.	PUNCT
cana-1222	264	1	[	[	X
cana-1222	264	2	12	12	NUM
cana-1222	264	3	]	]	X
cana-1222	264	4	liu	liu	PROPN
cana-1222	264	5	,	,	PUNCT
cana-1222	264	6	c.	c.	NOUN
cana-1222	264	7	extraction	extraction	NOUN
cana-1222	264	8	based	base	VERB
cana-1222	264	9	on	on	ADP
cana-1222	264	10	deep	deep	ADJ
cana-1222	264	11	learning	learning	NOUN
cana-1222	264	12	supported	support	VERB
cana-1222	264	13	by	by	ADP
cana-1222	264	14	spectral	spectral	ADJ
cana-1222	264	15	library	library	NOUN
cana-1222	264	16	:	:	PUNCT
cana-1222	264	17	taking	take	VERB
cana-1222	264	18	qingdao	qingdao	PROPN
cana-1222	264	19	as	as	ADP
cana-1222	264	20	an	an	DET
cana-1222	264	21	example	example	NOUN
cana-1222	264	22	.	.	PUNCT
cana-1222	265	1	master	master	NOUN
cana-1222	265	2	’s	’s	PART
cana-1222	265	3	thesis	thesis	NOUN
cana-1222	265	4	,	,	PUNCT
cana-1222	265	5	shandong	shandong	PROPN
cana-1222	265	6	university	university	PROPN
cana-1222	265	7	of	of	ADP
cana-1222	265	8	science	science	NOUN
cana-1222	265	9	and	and	CCONJ
cana-1222	265	10	technology	technology	NOUN
cana-1222	265	11	,	,	PUNCT
cana-1222	265	12	qingdao	qingdao	PROPN
cana-1222	265	13	,	,	PUNCT
cana-1222	265	14	china	china	PROPN
cana-1222	265	15	,	,	PUNCT
cana-1222	265	16	2020	2020	NUM
cana-1222	265	17	.	.	PUNCT
cana-1222	266	1	[	[	X
cana-1222	266	2	13	13	NUM
cana-1222	266	3	]	]	X
cana-1222	266	4	feng	feng	PROPN
cana-1222	266	5	,	,	PUNCT
cana-1222	266	6	s.	s.	PROPN
cana-1222	266	7	;	;	PUNCT
cana-1222	266	8	fan	fan	PROPN
cana-1222	266	9	,	,	PUNCT
cana-1222	266	10	f.	f.	PROPN
cana-1222	266	11	analyzing	analyze	VERB
cana-1222	266	12	the	the	DET
cana-1222	266	13	effect	effect	NOUN
cana-1222	266	14	of	of	ADP
cana-1222	266	15	the	the	DET
cana-1222	266	16	spectral	spectral	ADJ
cana-1222	266	17	interference	interference	NOUN
cana-1222	266	18	of	of	ADP
cana-1222	266	19	mixed	mixed	ADJ
cana-1222	266	20	pixels	pixel	NOUN
cana-1222	266	21	using	use	VERB
cana-1222	266	22	hyperspectral	hyperspectral	ADJ
cana-1222	266	23	imagery	imagery	NOUN
cana-1222	266	24	.	.	PUNCT
cana-1222	267	1	ieee	ieee	PROPN
cana-1222	267	2	j.	j.	PROPN
cana-1222	267	3	sel	sel	PROPN
cana-1222	267	4	.	.	PUNCT
cana-1222	268	1	top	top	PROPN
cana-1222	268	2	.	.	PUNCT
cana-1222	269	1	appl	appl	PROPN
cana-1222	269	2	.	.	PUNCT
cana-1222	270	1	earth	earth	PROPN
cana-1222	270	2	obs	obs	PROPN
cana-1222	270	3	.	.	PUNCT
cana-1222	271	1	remote	remote	PROPN
cana-1222	271	2	sens	sens	PROPN
cana-1222	271	3	.	.	PROPN
cana-1222	271	4	2021	2021	NUM
cana-1222	271	5	,	,	PUNCT
cana-1222	271	6	14	14	NUM
cana-1222	271	7	,	,	PUNCT
cana-1222	271	8	1434–1446	1434–1446	NUM
cana-1222	271	9	.	.	PUNCT
cana-1222	272	1	[	[	X
cana-1222	272	2	14	14	NUM
cana-1222	272	3	]	]	X
cana-1222	272	4	wang	wang	PROPN
cana-1222	272	5	,	,	PUNCT
cana-1222	272	6	d.	d.	PROPN
cana-1222	272	7	;	;	PUNCT
cana-1222	272	8	yang	yang	PROPN
cana-1222	272	9	,	,	PUNCT
cana-1222	272	10	r.	r.	PROPN
cana-1222	272	11	;	;	PUNCT
cana-1222	272	12	liu	liu	PROPN
cana-1222	272	13	,	,	PUNCT
cana-1222	272	14	h.	h.	PROPN
cana-1222	272	15	;	;	PUNCT
cana-1222	272	16	he	he	PRON
cana-1222	272	17	,	,	PUNCT
cana-1222	272	18	h.	h.	PROPN
cana-1222	272	19	;	;	PUNCT
cana-1222	272	20	tan	tan	PROPN
cana-1222	272	21	,	,	PUNCT
cana-1222	272	22	j.	j.	PROPN
cana-1222	272	23	;	;	PUNCT
cana-1222	272	24	li	li	PROPN
cana-1222	272	25	,	,	PUNCT
cana-1222	272	26	s.	s.	PROPN
cana-1222	272	27	;	;	PUNCT
cana-1222	272	28	qiao	qiao	PROPN
cana-1222	272	29	,	,	PUNCT
cana-1222	272	30	y.	y.	PROPN
cana-1222	272	31	;	;	PUNCT
cana-1222	272	32	tang	tang	PROPN
cana-1222	272	33	,	,	PUNCT
cana-1222	272	34	k.	k.	PROPN
cana-1222	272	35	;	;	PUNCT
cana-1222	272	36	wang	wang	PROPN
cana-1222	272	37	,	,	PUNCT
cana-1222	272	38	x.	x.	PROPN
cana-1222	272	39	hfenet	hfenet	PROPN
cana-1222	272	40	:	:	PUNCT
cana-1222	272	41	hierarchical	hierarchical	ADJ
cana-1222	272	42	feature	feature	NOUN
cana-1222	272	43	extraction	extraction	NOUN
cana-1222	272	44	network	network	NOUN
cana-1222	272	45	for	for	ADP
cana-1222	272	46	accurate	accurate	ADJ
cana-1222	272	47	landcover	landcover	NOUN
cana-1222	272	48	classification	classification	NOUN
cana-1222	272	49	.	.	PUNCT
cana-1222	273	1	remote	remote	ADJ
cana-1222	273	2	sens	sen	NOUN
cana-1222	273	3	.	.	PROPN
cana-1222	273	4	2022	2022	NUM
cana-1222	273	5	,	,	PUNCT
cana-1222	273	6	14	14	NUM
cana-1222	273	7	,	,	PUNCT
cana-1222	273	8	4244	4244	NUM
cana-1222	273	9	.	.	PUNCT
cana-1222	274	1	[	[	X
cana-1222	274	2	15	15	NUM
cana-1222	274	3	]	]	X
cana-1222	274	4	yu	yu	PROPN
cana-1222	274	5	,	,	PUNCT
cana-1222	274	6	j.	j.	PROPN
cana-1222	274	7	;	;	PUNCT
cana-1222	274	8	zeng	zeng	PROPN
cana-1222	274	9	,	,	PUNCT
cana-1222	274	10	p.	p.	PROPN
cana-1222	274	11	;	;	PUNCT
cana-1222	274	12	yu	yu	PROPN
cana-1222	274	13	,	,	PUNCT
cana-1222	274	14	y.	y.	PROPN
cana-1222	274	15	;	;	PUNCT
cana-1222	274	16	yu	yu	PROPN
cana-1222	274	17	,	,	PUNCT
cana-1222	274	18	h.	h.	PROPN
cana-1222	274	19	;	;	PUNCT
cana-1222	274	20	huang	huang	PROPN
cana-1222	274	21	,	,	PUNCT
cana-1222	274	22	l.	l.	PROPN
cana-1222	274	23	;	;	PUNCT
cana-1222	274	24	zhou	zhou	PROPN
cana-1222	274	25	,	,	PUNCT
cana-1222	274	26	d.	d.	PROPN
cana-1222	274	27	a	a	DET
cana-1222	274	28	combined	combine	VERB
cana-1222	274	29	convolutional	convolutional	ADJ
cana-1222	274	30	neural	neural	ADJ
cana-1222	274	31	network	network	NOUN
cana-1222	274	32	for	for	ADP
cana-1222	274	33	urban	urban	ADJ
cana-1222	274	34	land	land	NOUN
cana-1222	274	35	-	-	PUNCT
cana-1222	274	36	use	use	NOUN
cana-1222	274	37	classification	classification	NOUN
cana-1222	274	38	with	with	ADP
cana-1222	274	39	gis	gis	PROPN
cana-1222	274	40	data	datum	NOUN
cana-1222	274	41	.	.	PUNCT
cana-1222	275	1	remote	remote	PROPN
cana-1222	275	2	sens	sens	PROPN
cana-1222	275	3	.	.	PROPN
cana-1222	275	4	2022	2022	NUM
cana-1222	275	5	,	,	PUNCT
cana-1222	275	6	14	14	NUM
cana-1222	275	7	,	,	PUNCT
cana-1222	275	8	1128	1128	NUM
cana-1222	275	9	.	.	PUNCT
cana-1222	276	1	[	[	X
cana-1222	276	2	16	16	NUM
cana-1222	276	3	]	]	X
cana-1222	276	4	liu	liu	PROPN
cana-1222	276	5	,	,	PUNCT
cana-1222	276	6	r.	r.	PROPN
cana-1222	276	7	;	;	PUNCT
cana-1222	276	8	tao	tao	PROPN
cana-1222	276	9	,	,	PUNCT
cana-1222	276	10	f.	f.	PROPN
cana-1222	276	11	;	;	PUNCT
cana-1222	276	12	liu	liu	PROPN
cana-1222	276	13	,	,	PUNCT
cana-1222	276	14	x.	x.	NOUN
cana-1222	276	15	;	;	PUNCT
cana-1222	276	16	na	na	PROPN
cana-1222	276	17	,	,	PUNCT
cana-1222	276	18	j.	j.	PROPN
cana-1222	276	19	;	;	PUNCT
cana-1222	276	20	leng	leng	PROPN
cana-1222	276	21	,	,	PUNCT
cana-1222	276	22	h.	h.	PROPN
cana-1222	276	23	;	;	PUNCT
cana-1222	276	24	wu	wu	PROPN
cana-1222	276	25	,	,	PUNCT
cana-1222	276	26	j.	j.	PROPN
cana-1222	276	27	;	;	PUNCT
cana-1222	276	28	zhou	zhou	PROPN
cana-1222	276	29	,	,	PUNCT
cana-1222	276	30	t.	t.	PROPN
cana-1222	276	31	raanet	raanet	NOUN
cana-1222	276	32	:	:	PUNCT
cana-1222	276	33	a	a	DET
cana-1222	276	34	residual	residual	ADJ
cana-1222	276	35	aspp	aspp	NOUN
cana-1222	276	36	with	with	ADP
cana-1222	276	37	attention	attention	NOUN
cana-1222	276	38	framework	framework	NOUN
cana-1222	276	39	for	for	ADP
cana-1222	276	40	semantic	semantic	ADJ
cana-1222	276	41	segmentation	segmentation	NOUN
cana-1222	276	42	of	of	ADP
cana-1222	276	43	high	high	ADJ
cana-1222	276	44	-	-	PUNCT
cana-1222	276	45	resolution	resolution	NOUN
cana-1222	276	46	remote	remote	ADJ
cana-1222	276	47	sensing	sensing	NOUN
cana-1222	276	48	images	image	NOUN
cana-1222	276	49	.	.	PUNCT
cana-1222	277	1	remote	remote	ADJ
cana-1222	277	2	sens	sen	NOUN
cana-1222	277	3	.	.	PROPN
cana-1222	277	4	2022	2022	NUM
cana-1222	277	5	,	,	PUNCT
cana-1222	277	6	14	14	NUM
cana-1222	277	7	,	,	PUNCT
cana-1222	277	8	3109	3109	NUM
cana-1222	277	9	.	.	PUNCT
cana-1222	278	1	[	[	X
cana-1222	278	2	17	17	NUM
cana-1222	278	3	]	]	X
cana-1222	278	4	yu	yu	PROPN
cana-1222	278	5	,	,	PUNCT
cana-1222	278	6	j.	j.	PROPN
cana-1222	278	7	;	;	PUNCT
cana-1222	278	8	du	du	PROPN
cana-1222	278	9	,	,	PUNCT
cana-1222	278	10	s.	s.	PROPN
cana-1222	278	11	;	;	PUNCT
cana-1222	278	12	xin	xin	PROPN
cana-1222	278	13	,	,	PUNCT
cana-1222	278	14	z.	z.	PROPN
cana-1222	278	15	;	;	PUNCT
cana-1222	278	16	huang	huang	PROPN
cana-1222	278	17	,	,	PUNCT
cana-1222	278	18	l.	l.	PROPN
cana-1222	278	19	;	;	PUNCT
cana-1222	278	20	zhao	zhao	PROPN
cana-1222	278	21	,	,	PUNCT
cana-1222	278	22	j.	j.	PROPN
cana-1222	278	23	application	application	NOUN
cana-1222	278	24	of	of	ADP
cana-1222	278	25	a	a	DET
cana-1222	278	26	convolutional	convolutional	ADJ
cana-1222	278	27	neural	neural	ADJ
cana-1222	278	28	network	network	NOUN
cana-1222	278	29	to	to	ADP
cana-1222	278	30	land	land	NOUN
cana-1222	278	31	use	use	VERB
cana-1222	278	32	classification	classification	NOUN
cana-1222	278	33	based	base	VERB
cana-1222	278	34	on	on	ADP
cana-1222	278	35	gf-2	gf-2	X
cana-1222	278	36	remote	remote	ADJ
cana-1222	278	37	sensing	sense	VERB
cana-1222	278	38	imagery	imagery	NOUN
cana-1222	278	39	.	.	PUNCT
cana-1222	279	1	arab	arab	PROPN
cana-1222	279	2	.	.	PUNCT
cana-1222	280	1	j.	j.	PROPN
cana-1222	280	2	geosci	geosci	PROPN
cana-1222	280	3	.	.	PUNCT
cana-1222	281	1	2021	2021	NUM
cana-1222	281	2	,	,	PUNCT
cana-1222	281	3	14	14	NUM
cana-1222	281	4	,	,	PUNCT
cana-1222	281	5	1–14	1–14	PROPN
cana-1222	281	6	.	.	PUNCT
cana-1222	282	1	[	[	X
cana-1222	282	2	18	18	NUM
cana-1222	282	3	]	]	PUNCT
cana-1222	282	4	karra	karra	NOUN
cana-1222	282	5	,	,	PUNCT
cana-1222	282	6	k.	k.	PROPN
cana-1222	282	7	;	;	PUNCT
cana-1222	282	8	kontgis	kontgis	PROPN
cana-1222	282	9	,	,	PUNCT
cana-1222	282	10	c.	c.	NOUN
cana-1222	282	11	;	;	PUNCT
cana-1222	282	12	statman	statman	NOUN
cana-1222	282	13	-	-	PUNCT
cana-1222	282	14	weil	weil	PROPN
cana-1222	282	15	,	,	PUNCT
cana-1222	282	16	z.	z.	PROPN
cana-1222	282	17	;	;	PUNCT
cana-1222	282	18	mazzariello	mazzariello	PROPN
cana-1222	282	19	,	,	PUNCT
cana-1222	282	20	j.c	j.c	PROPN
cana-1222	282	21	.	.	PROPN
cana-1222	282	22	;	;	PUNCT
cana-1222	282	23	mathis	mathis	PROPN
cana-1222	282	24	,	,	PUNCT
cana-1222	282	25	m.	m.	NOUN
cana-1222	282	26	;	;	PUNCT
cana-1222	282	27	brumby	brumby	PROPN
cana-1222	282	28	,	,	PUNCT
cana-1222	282	29	s.p	s.p	PROPN
cana-1222	282	30	.	.	PROPN
cana-1222	282	31	global	global	ADJ
cana-1222	282	32	land	land	NOUN
cana-1222	282	33	use	use	NOUN
cana-1222	282	34	/	/	SYM
cana-1222	282	35	land	land	NOUN
cana-1222	282	36	cover	cover	NOUN
cana-1222	282	37	with	with	ADP
cana-1222	282	38	sentinel	sentinel	ADJ
cana-1222	282	39	2	2	NUM
cana-1222	282	40	and	and	CCONJ
cana-1222	282	41	deep	deep	ADJ
cana-1222	282	42	learning	learning	NOUN
cana-1222	282	43	.	.	PUNCT
cana-1222	283	1	in	in	ADP
cana-1222	283	2	proceedings	proceeding	NOUN
cana-1222	283	3	of	of	ADP
cana-1222	283	4	the	the	DET
cana-1222	283	5	2021	2021	NUM
cana-1222	283	6	ieee	ieee	NOUN
cana-1222	283	7	international	international	PROPN
cana-1222	283	8	geoscience	geoscience	PROPN
cana-1222	283	9	and	and	CCONJ
cana-1222	283	10	remote	remote	ADJ
cana-1222	283	11	sensing	sense	VERB
cana-1222	283	12	symposium	symposium	NOUN
cana-1222	283	13	igarss	igarss	NOUN
cana-1222	283	14	,	,	PUNCT
cana-1222	283	15	brussels	brussels	PROPN
cana-1222	283	16	,	,	PUNCT
cana-1222	283	17	belgium	belgium	PROPN
cana-1222	283	18	,	,	PUNCT
cana-1222	283	19	11–16	11–16	NUM
cana-1222	283	20	july	july	PROPN
cana-1222	283	21	2021	2021	NUM
cana-1222	283	22	;	;	PUNCT
cana-1222	283	23	pp	pp	X
cana-1222	283	24	.	.	PUNCT
cana-1222	284	1	4704–4707	4704–4707	X
cana-1222	284	2	.	.	PUNCT
cana-1222	285	1	[	[	X
cana-1222	285	2	19	19	NUM
cana-1222	285	3	]	]	X
cana-1222	285	4	parekh	parekh	PROPN
cana-1222	285	5	,	,	PUNCT
cana-1222	285	6	j.	j.	PROPN
cana-1222	285	7	;	;	PUNCT
cana-1222	285	8	poortinga	poortinga	NOUN
cana-1222	285	9	,	,	PUNCT
cana-1222	285	10	a.	a.	NOUN
cana-1222	285	11	;	;	PUNCT
cana-1222	285	12	bhandari	bhandari	PROPN
cana-1222	285	13	,	,	PUNCT
cana-1222	285	14	b.	b.	PROPN
cana-1222	285	15	;	;	PUNCT
cana-1222	285	16	mayer	mayer	PROPN
cana-1222	285	17	,	,	PUNCT
cana-1222	285	18	t.	t.	PROPN
cana-1222	285	19	;	;	PUNCT
cana-1222	285	20	saah	saah	PROPN
cana-1222	285	21	,	,	PUNCT
cana-1222	285	22	d.	d.	PROPN
cana-1222	285	23	;	;	PUNCT
cana-1222	285	24	chishtie	chishtie	PROPN
cana-1222	285	25	,	,	PUNCT
cana-1222	285	26	f.	f.	PROPN
cana-1222	285	27	automatic	automatic	ADJ
cana-1222	285	28	detection	detection	NOUN
cana-1222	285	29	of	of	ADP
cana-1222	285	30	impervious	impervious	ADJ
cana-1222	285	31	surfaces	surface	NOUN
cana-1222	285	32	from	from	ADP
cana-1222	285	33	remotely	remotely	ADV
cana-1222	285	34	sensed	sense	VERB
cana-1222	285	35	data	datum	NOUN
cana-1222	285	36	using	use	VERB
cana-1222	285	37	deep	deep	ADJ
cana-1222	285	38	learning	learning	NOUN
cana-1222	285	39	.	.	PUNCT
cana-1222	286	1	remote	remote	ADJ
cana-1222	286	2	sens	sen	NOUN
cana-1222	286	3	.	.	PROPN
cana-1222	286	4	2021	2021	NUM
cana-1222	286	5	,	,	PUNCT
cana-1222	286	6	13	13	NUM
cana-1222	286	7	,	,	PUNCT
cana-1222	286	8	3166	3166	NUM
cana-1222	286	9	.	.	PUNCT
cana-1222	287	1	[	[	X
cana-1222	287	2	20	20	NUM
cana-1222	287	3	]	]	X
cana-1222	287	4	manickam	manickam	PROPN
cana-1222	287	5	,	,	PUNCT
cana-1222	287	6	m.t	m.t	PROPN
cana-1222	287	7	.	.	PROPN
cana-1222	287	8	;	;	PUNCT
cana-1222	287	9	rao	rao	PROPN
cana-1222	287	10	,	,	PUNCT
cana-1222	287	11	m.k	m.k	PROPN
cana-1222	287	12	.	.	PUNCT
cana-1222	287	13	;	;	PUNCT
cana-1222	287	14	barath	barath	PROPN
cana-1222	287	15	,	,	PUNCT
cana-1222	287	16	k.	k.	PROPN
cana-1222	287	17	;	;	PUNCT
cana-1222	287	18	vijay	vijay	PROPN
cana-1222	287	19	,	,	PUNCT
cana-1222	287	20	s.s	s.s	PROPN
cana-1222	287	21	.	.	PROPN
cana-1222	287	22	;	;	PUNCT
cana-1222	287	23	karthi	karthi	PROPN
cana-1222	287	24	,	,	PUNCT
cana-1222	287	25	r.	r.	PROPN
cana-1222	287	26	convolutional	convolutional	ADJ
cana-1222	287	27	neural	neural	ADJ
cana-1222	287	28	network	network	NOUN
cana-1222	287	29	for	for	ADP
cana-1222	287	30	land	land	NOUN
cana-1222	287	31	cover	cover	NOUN
cana-1222	287	32	classification	classification	NOUN
cana-1222	287	33	and	and	CCONJ
cana-1222	287	34	mapping	mapping	NOUN
cana-1222	287	35	using	use	VERB
cana-1222	287	36	landsat	landsat	NOUN
cana-1222	287	37	images	image	NOUN
cana-1222	287	38	,	,	PUNCT
cana-1222	287	39	innovations	innovation	NOUN
cana-1222	287	40	in	in	ADP
cana-1222	287	41	computer	computer	NOUN
cana-1222	287	42	science	science	NOUN
cana-1222	287	43	and	and	CCONJ
cana-1222	287	44	engineering	engineering	NOUN
cana-1222	287	45	;	;	PUNCT
cana-1222	287	46	springer	springer	NOUN
cana-1222	287	47	:	:	PUNCT
cana-1222	287	48	berlin	berlin	PROPN
cana-1222	287	49	/	/	SYM
cana-1222	287	50	heidelberg	heidelberg	PROPN
cana-1222	287	51	,	,	PUNCT
cana-1222	287	52	germany	germany	PROPN
cana-1222	287	53	,	,	PUNCT
cana-1222	287	54	2022	2022	NUM
cana-1222	287	55	;	;	PUNCT
cana-1222	287	56	pp	pp	ADP
cana-1222	287	57	.	.	PUNCT
cana-1222	288	1	221–232	221–232	NUM
cana-1222	288	2	.	.	PUNCT
cana-1222	289	1	[	[	X
cana-1222	289	2	21	21	NUM
cana-1222	289	3	]	]	X
cana-1222	289	4	https://www.kaggle.com/datasets/mahmoudreda55/satellite-image-classification/data	https://www.kaggle.com/datasets/mahmoudreda55/satellite-image-classification/data	NOUN