id	sid	tid	token	lemma	pos
ajst-31199	1	1	academic	academic	ADJ
ajst-31199	1	2	journal	journal	NOUN
ajst-31199	1	3	of	of	ADP
ajst-31199	1	4	science	science	NOUN
ajst-31199	1	5	and	and	CCONJ
ajst-31199	1	6	technology	technology	NOUN
ajst-31199	1	7	issn	issn	NOUN
ajst-31199	1	8	:	:	PUNCT
ajst-31199	1	9	2771	2771	NUM
ajst-31199	1	10	-	-	SYM
ajst-31199	1	11	3032	3032	NUM
ajst-31199	1	12	|	|	NOUN
ajst-31199	1	13	vol	vol	NOUN
ajst-31199	1	14	.	.	PROPN
ajst-31199	1	15	15	15	NUM
ajst-31199	1	16	,	,	PUNCT
ajst-31199	1	17	no	no	INTJ
ajst-31199	1	18	.	.	NOUN
ajst-31199	1	19	3	3	NUM
ajst-31199	1	20	,	,	PUNCT
ajst-31199	1	21	2025	2025	NUM
ajst-31199	1	22	40	40	NUM
ajst-31199	1	23	application	application	NOUN
ajst-31199	1	24	and	and	CCONJ
ajst-31199	1	25	optimization	optimization	NOUN
ajst-31199	1	26	of	of	ADP
ajst-31199	1	27	deep	deep	ADJ
ajst-31199	1	28	learning	learning	NOUN
ajst-31199	1	29	in	in	ADP
ajst-31199	1	30	change	change	NOUN
ajst-31199	1	31	detection	detection	NOUN
ajst-31199	1	32	for	for	ADP
ajst-31199	1	33	high‐resolution	high‐resolution	NOUN
ajst-31199	1	34	remote	remote	ADJ
ajst-31199	1	35	sensing	sense	VERB
ajst-31199	1	36	imagery	imagery	NOUN
ajst-31199	1	37	quan	quan	PROPN
ajst-31199	1	38	qi	qi	PROPN
ajst-31199	1	39	,	,	PUNCT
ajst-31199	1	40	yuhua	yuhua	PROPN
ajst-31199	1	41	wang	wang	PROPN
ajst-31199	1	42	henan	henan	PROPN
ajst-31199	1	43	university	university	PROPN
ajst-31199	1	44	of	of	ADP
ajst-31199	1	45	technology	technology	PROPN
ajst-31199	1	46	,	,	PUNCT
ajst-31199	1	47	henan	henan	PROPN
ajst-31199	1	48	,	,	PUNCT
ajst-31199	1	49	zhengzhou	zhengzhou	PROPN
ajst-31199	1	50	,	,	PUNCT
ajst-31199	1	51	china	china	PROPN
ajst-31199	1	52	abstract	abstract	PROPN
ajst-31199	1	53	:	:	PUNCT
ajst-31199	1	54	with	with	ADP
ajst-31199	1	55	the	the	DET
ajst-31199	1	56	continuous	continuous	ADJ
ajst-31199	1	57	development	development	NOUN
ajst-31199	1	58	of	of	ADP
ajst-31199	1	59	remote	remote	ADJ
ajst-31199	1	60	sensing	sense	VERB
ajst-31199	1	61	technology	technology	NOUN
ajst-31199	1	62	and	and	CCONJ
ajst-31199	1	63	deep	deep	ADJ
ajst-31199	1	64	learning	learning	NOUN
ajst-31199	1	65	,	,	PUNCT
ajst-31199	1	66	change	change	VERB
ajst-31199	1	67	detection	detection	NOUN
ajst-31199	1	68	methods	method	NOUN
ajst-31199	1	69	based	base	VERB
ajst-31199	1	70	on	on	ADP
ajst-31199	1	71	high	high	ADJ
ajst-31199	1	72	-	-	PUNCT
ajst-31199	1	73	resolution	resolution	NOUN
ajst-31199	1	74	remote	remote	ADJ
ajst-31199	1	75	sensing	sensing	NOUN
ajst-31199	1	76	images	image	NOUN
ajst-31199	1	77	are	be	AUX
ajst-31199	1	78	gradually	gradually	ADV
ajst-31199	1	79	evolving	evolve	VERB
ajst-31199	1	80	towards	towards	ADP
ajst-31199	1	81	intelligence	intelligence	NOUN
ajst-31199	1	82	and	and	CCONJ
ajst-31199	1	83	high	high	ADJ
ajst-31199	1	84	precision	precision	NOUN
ajst-31199	1	85	.	.	PUNCT
ajst-31199	2	1	starting	start	VERB
ajst-31199	2	2	from	from	ADP
ajst-31199	2	3	the	the	DET
ajst-31199	2	4	theoretical	theoretical	ADJ
ajst-31199	2	5	foundation	foundation	NOUN
ajst-31199	2	6	of	of	ADP
ajst-31199	2	7	remote	remote	ADJ
ajst-31199	2	8	sensing	sense	VERB
ajst-31199	2	9	image	image	NOUN
ajst-31199	2	10	change	change	NOUN
ajst-31199	2	11	detection	detection	NOUN
ajst-31199	2	12	,	,	PUNCT
ajst-31199	2	13	this	this	DET
ajst-31199	2	14	paper	paper	NOUN
ajst-31199	2	15	systematically	systematically	ADV
ajst-31199	2	16	comprehends	comprehend	VERB
ajst-31199	2	17	the	the	DET
ajst-31199	2	18	technical	technical	ADJ
ajst-31199	2	19	framework	framework	NOUN
ajst-31199	2	20	and	and	CCONJ
ajst-31199	2	21	typical	typical	ADJ
ajst-31199	2	22	models	model	NOUN
ajst-31199	2	23	of	of	ADP
ajst-31199	2	24	deep	deep	ADJ
ajst-31199	2	25	learning	learning	NOUN
ajst-31199	2	26	,	,	PUNCT
ajst-31199	2	27	and	and	CCONJ
ajst-31199	2	28	focuses	focus	VERB
ajst-31199	2	29	on	on	ADP
ajst-31199	2	30	the	the	DET
ajst-31199	2	31	analysis	analysis	NOUN
ajst-31199	2	32	of	of	ADP
ajst-31199	2	33	its	its	PRON
ajst-31199	2	34	application	application	NOUN
ajst-31199	2	35	modes	mode	NOUN
ajst-31199	2	36	in	in	ADP
ajst-31199	2	37	image	image	NOUN
ajst-31199	2	38	alignment	alignment	NOUN
ajst-31199	2	39	,	,	PUNCT
ajst-31199	2	40	feature	feature	NOUN
ajst-31199	2	41	extraction	extraction	NOUN
ajst-31199	2	42	and	and	CCONJ
ajst-31199	2	43	bi	bi	ADJ
ajst-31199	2	44	-	-	ADJ
ajst-31199	2	45	phasic	phasic	ADJ
ajst-31199	2	46	analysis	analysis	NOUN
ajst-31199	2	47	.	.	PUNCT
ajst-31199	3	1	in	in	ADP
ajst-31199	3	2	addition	addition	NOUN
ajst-31199	3	3	,	,	PUNCT
ajst-31199	3	4	the	the	DET
ajst-31199	3	5	integration	integration	NOUN
ajst-31199	3	6	of	of	ADP
ajst-31199	3	7	multi	multi	ADJ
ajst-31199	3	8	-	-	ADJ
ajst-31199	3	9	source	source	NOUN
ajst-31199	3	10	remote	remote	ADJ
ajst-31199	3	11	sensing	sense	VERB
ajst-31199	3	12	data	datum	NOUN
ajst-31199	3	13	and	and	CCONJ
ajst-31199	3	14	model	model	NOUN
ajst-31199	3	15	adaptation	adaptation	NOUN
ajst-31199	3	16	are	be	AUX
ajst-31199	3	17	discussed	discuss	VERB
ajst-31199	3	18	with	with	ADP
ajst-31199	3	19	the	the	DET
ajst-31199	3	20	idea	idea	NOUN
ajst-31199	3	21	of	of	ADP
ajst-31199	3	22	pixel	pixel	NOUN
ajst-31199	3	23	-	-	PUNCT
ajst-31199	3	24	level	level	NOUN
ajst-31199	3	25	and	and	CCONJ
ajst-31199	3	26	object	object	NOUN
ajst-31199	3	27	-	-	PUNCT
ajst-31199	3	28	level	level	NOUN
ajst-31199	3	29	modelling	modelling	NOUN
ajst-31199	3	30	,	,	PUNCT
ajst-31199	3	31	which	which	PRON
ajst-31199	3	32	provides	provide	VERB
ajst-31199	3	33	theoretical	theoretical	ADJ
ajst-31199	3	34	basis	basis	NOUN
ajst-31199	3	35	and	and	CCONJ
ajst-31199	3	36	methodological	methodological	ADJ
ajst-31199	3	37	support	support	NOUN
ajst-31199	3	38	for	for	ADP
ajst-31199	3	39	improving	improve	VERB
ajst-31199	3	40	the	the	DET
ajst-31199	3	41	accuracy	accuracy	NOUN
ajst-31199	3	42	and	and	CCONJ
ajst-31199	3	43	stability	stability	NOUN
ajst-31199	3	44	of	of	ADP
ajst-31199	3	45	change	change	NOUN
ajst-31199	3	46	detection	detection	NOUN
ajst-31199	3	47	.	.	PUNCT
ajst-31199	4	1	the	the	DET
ajst-31199	4	2	study	study	NOUN
ajst-31199	4	3	shows	show	VERB
ajst-31199	4	4	that	that	SCONJ
ajst-31199	4	5	deep	deep	ADJ
ajst-31199	4	6	learning	learning	NOUN
ajst-31199	4	7	has	have	VERB
ajst-31199	4	8	a	a	DET
ajst-31199	4	9	powerful	powerful	ADJ
ajst-31199	4	10	characterisation	characterisation	NOUN
ajst-31199	4	11	capability	capability	NOUN
ajst-31199	4	12	and	and	CCONJ
ajst-31199	4	13	is	be	AUX
ajst-31199	4	14	an	an	DET
ajst-31199	4	15	important	important	ADJ
ajst-31199	4	16	development	development	NOUN
ajst-31199	4	17	direction	direction	NOUN
ajst-31199	4	18	for	for	ADP
ajst-31199	4	19	change	change	NOUN
ajst-31199	4	20	detection	detection	NOUN
ajst-31199	4	21	in	in	ADP
ajst-31199	4	22	remote	remote	ADJ
ajst-31199	4	23	sensing	sensing	NOUN
ajst-31199	4	24	images	image	NOUN
ajst-31199	4	25	in	in	ADP
ajst-31199	4	26	the	the	DET
ajst-31199	4	27	future	future	NOUN
ajst-31199	4	28	.	.	PUNCT
ajst-31199	5	1	keywords	keyword	NOUN
ajst-31199	5	2	:	:	PUNCT
ajst-31199	5	3	remote	remote	ADJ
ajst-31199	5	4	sensing	sense	VERB
ajst-31199	5	5	technology	technology	NOUN
ajst-31199	5	6	;	;	PUNCT
ajst-31199	5	7	combined	combined	ADJ
ajst-31199	5	8	pixel	pixel	PROPN
ajst-31199	5	9	level	level	NOUN
ajst-31199	5	10	;	;	PUNCT
ajst-31199	5	11	remote	remote	ADJ
ajst-31199	5	12	sensing	sense	VERB
ajst-31199	5	13	image	image	NOUN
ajst-31199	5	14	.	.	PUNCT
ajst-31199	6	1	1	1	X
ajst-31199	6	2	.	.	X
ajst-31199	6	3	introduction	introduction	NOUN
ajst-31199	6	4	with	with	ADP
ajst-31199	6	5	the	the	DET
ajst-31199	6	6	continuous	continuous	ADJ
ajst-31199	6	7	development	development	NOUN
ajst-31199	6	8	of	of	ADP
ajst-31199	6	9	remote	remote	ADJ
ajst-31199	6	10	sensing	sense	VERB
ajst-31199	6	11	technology	technology	NOUN
ajst-31199	6	12	and	and	CCONJ
ajst-31199	6	13	the	the	DET
ajst-31199	6	14	continuous	continuous	ADJ
ajst-31199	6	15	improvement	improvement	NOUN
ajst-31199	6	16	of	of	ADP
ajst-31199	6	17	satellite	satellite	NOUN
ajst-31199	6	18	resolution	resolution	NOUN
ajst-31199	6	19	,	,	PUNCT
ajst-31199	6	20	high	high	ADJ
ajst-31199	6	21	-	-	PUNCT
ajst-31199	6	22	resolution	resolution	NOUN
ajst-31199	6	23	remote	remote	ADJ
ajst-31199	6	24	sensing	sensing	NOUN
ajst-31199	6	25	images	image	NOUN
ajst-31199	6	26	have	have	AUX
ajst-31199	6	27	been	be	AUX
ajst-31199	6	28	widely	widely	ADV
ajst-31199	6	29	used	use	VERB
ajst-31199	6	30	in	in	ADP
ajst-31199	6	31	the	the	DET
ajst-31199	6	32	fields	field	NOUN
ajst-31199	6	33	of	of	ADP
ajst-31199	6	34	land	land	NOUN
ajst-31199	6	35	use	use	NOUN
ajst-31199	6	36	monitoring	monitoring	NOUN
ajst-31199	6	37	,	,	PUNCT
ajst-31199	6	38	urban	urban	ADJ
ajst-31199	6	39	expansion	expansion	NOUN
ajst-31199	6	40	analysis	analysis	NOUN
ajst-31199	6	41	,	,	PUNCT
ajst-31199	6	42	and	and	CCONJ
ajst-31199	6	43	natural	natural	ADJ
ajst-31199	6	44	disaster	disaster	NOUN
ajst-31199	6	45	assessment	assessment	NOUN
ajst-31199	6	46	.	.	PUNCT
ajst-31199	7	1	the	the	DET
ajst-31199	7	2	improvement	improvement	NOUN
ajst-31199	7	3	of	of	ADP
ajst-31199	7	4	image	image	NOUN
ajst-31199	7	5	resolution	resolution	NOUN
ajst-31199	7	6	makes	make	VERB
ajst-31199	7	7	the	the	DET
ajst-31199	7	8	details	detail	NOUN
ajst-31199	7	9	of	of	ADP
ajst-31199	7	10	features	feature	NOUN
ajst-31199	7	11	richer	rich	ADJ
ajst-31199	7	12	,	,	PUNCT
ajst-31199	7	13	but	but	CCONJ
ajst-31199	7	14	it	it	PRON
ajst-31199	7	15	also	also	ADV
ajst-31199	7	16	brings	bring	VERB
ajst-31199	7	17	new	new	ADJ
ajst-31199	7	18	challenges	challenge	NOUN
ajst-31199	7	19	such	such	ADJ
ajst-31199	7	20	as	as	ADP
ajst-31199	7	21	huge	huge	ADJ
ajst-31199	7	22	data	datum	NOUN
ajst-31199	7	23	volume	volume	NOUN
ajst-31199	7	24	and	and	CCONJ
ajst-31199	7	25	complex	complex	ADJ
ajst-31199	7	26	change	change	NOUN
ajst-31199	7	27	features	feature	NOUN
ajst-31199	7	28	,	,	PUNCT
ajst-31199	7	29	and	and	CCONJ
ajst-31199	7	30	the	the	DET
ajst-31199	7	31	traditional	traditional	ADJ
ajst-31199	7	32	change	change	NOUN
ajst-31199	7	33	detection	detection	NOUN
ajst-31199	7	34	methods	method	NOUN
ajst-31199	7	35	have	have	AUX
ajst-31199	7	36	been	be	AUX
ajst-31199	7	37	difficult	difficult	ADJ
ajst-31199	7	38	to	to	PART
ajst-31199	7	39	meet	meet	VERB
ajst-31199	7	40	the	the	DET
ajst-31199	7	41	practical	practical	ADJ
ajst-31199	7	42	needs	need	NOUN
ajst-31199	7	43	in	in	ADP
ajst-31199	7	44	terms	term	NOUN
ajst-31199	7	45	of	of	ADP
ajst-31199	7	46	accuracy	accuracy	NOUN
ajst-31199	7	47	,	,	PUNCT
ajst-31199	7	48	robustness	robustness	NOUN
ajst-31199	7	49	and	and	CCONJ
ajst-31199	7	50	automation	automation	NOUN
ajst-31199	7	51	level[1	level[1	PRON
ajst-31199	7	52	]	]	PUNCT
ajst-31199	7	53	.	.	PUNCT
ajst-31199	8	1	in	in	ADP
ajst-31199	8	2	recent	recent	ADJ
ajst-31199	8	3	years	year	NOUN
ajst-31199	8	4	,	,	PUNCT
ajst-31199	8	5	deep	deep	ADJ
ajst-31199	8	6	learning	learning	NOUN
ajst-31199	8	7	,	,	PUNCT
ajst-31199	8	8	with	with	ADP
ajst-31199	8	9	its	its	PRON
ajst-31199	8	10	powerful	powerful	ADJ
ajst-31199	8	11	feature	feature	NOUN
ajst-31199	8	12	extraction	extraction	NOUN
ajst-31199	8	13	and	and	CCONJ
ajst-31199	8	14	representation	representation	NOUN
ajst-31199	8	15	capabilities	capability	NOUN
ajst-31199	8	16	,	,	PUNCT
ajst-31199	8	17	has	have	AUX
ajst-31199	8	18	achieved	achieve	VERB
ajst-31199	8	19	remarkable	remarkable	ADJ
ajst-31199	8	20	results	result	NOUN
ajst-31199	8	21	in	in	ADP
ajst-31199	8	22	the	the	DET
ajst-31199	8	23	field	field	NOUN
ajst-31199	8	24	of	of	ADP
ajst-31199	8	25	computer	computer	NOUN
ajst-31199	8	26	vision	vision	NOUN
ajst-31199	8	27	and	and	CCONJ
ajst-31199	8	28	gradually	gradually	ADV
ajst-31199	8	29	expanded	expand	VERB
ajst-31199	8	30	to	to	ADP
ajst-31199	8	31	the	the	DET
ajst-31199	8	32	field	field	NOUN
ajst-31199	8	33	of	of	ADP
ajst-31199	8	34	remote	remote	ADJ
ajst-31199	8	35	sensing	sense	VERB
ajst-31199	8	36	image	image	NOUN
ajst-31199	8	37	processing	processing	NOUN
ajst-31199	8	38	,	,	PUNCT
ajst-31199	8	39	especially	especially	ADV
ajst-31199	8	40	in	in	ADP
ajst-31199	8	41	the	the	DET
ajst-31199	8	42	change	change	NOUN
ajst-31199	8	43	detection	detection	NOUN
ajst-31199	8	44	task	task	NOUN
ajst-31199	8	45	,	,	PUNCT
ajst-31199	8	46	showing	show	VERB
ajst-31199	8	47	great	great	ADJ
ajst-31199	8	48	potential	potential	NOUN
ajst-31199	8	49	.	.	PUNCT
ajst-31199	9	1	by	by	ADP
ajst-31199	9	2	constructing	construct	VERB
ajst-31199	9	3	deep	deep	ADJ
ajst-31199	9	4	neural	neural	ADJ
ajst-31199	9	5	network	network	NOUN
ajst-31199	9	6	models	model	NOUN
ajst-31199	9	7	,	,	PUNCT
ajst-31199	9	8	complex	complex	ADJ
ajst-31199	9	9	spatial	spatial	ADJ
ajst-31199	9	10	and	and	CCONJ
ajst-31199	9	11	semantic	semantic	ADJ
ajst-31199	9	12	features	feature	NOUN
ajst-31199	9	13	in	in	ADP
ajst-31199	9	14	remote	remote	ADJ
ajst-31199	9	15	sensing	sensing	NOUN
ajst-31199	9	16	images	image	NOUN
ajst-31199	9	17	can	can	AUX
ajst-31199	9	18	be	be	AUX
ajst-31199	9	19	automatically	automatically	ADV
ajst-31199	9	20	learnt	learn	VERB
ajst-31199	9	21	to	to	PART
ajst-31199	9	22	effectively	effectively	ADV
ajst-31199	9	23	improve	improve	VERB
ajst-31199	9	24	the	the	DET
ajst-31199	9	25	accuracy	accuracy	NOUN
ajst-31199	9	26	and	and	CCONJ
ajst-31199	9	27	efficiency	efficiency	NOUN
ajst-31199	9	28	of	of	ADP
ajst-31199	9	29	change	change	NOUN
ajst-31199	9	30	detection[2	detection[2	PROPN
ajst-31199	9	31	]	]	X
ajst-31199	9	32	.	.	PUNCT
ajst-31199	10	1	however	however	ADV
ajst-31199	10	2	,	,	PUNCT
ajst-31199	10	3	the	the	DET
ajst-31199	10	4	direct	direct	ADJ
ajst-31199	10	5	application	application	NOUN
ajst-31199	10	6	of	of	ADP
ajst-31199	10	7	deep	deep	ADJ
ajst-31199	10	8	learning	learning	NOUN
ajst-31199	10	9	methods	method	NOUN
ajst-31199	10	10	to	to	ADP
ajst-31199	10	11	high	high	ADJ
ajst-31199	10	12	-	-	PUNCT
ajst-31199	10	13	resolution	resolution	NOUN
ajst-31199	10	14	remote	remote	ADJ
ajst-31199	10	15	sensing	sensing	NOUN
ajst-31199	10	16	images	image	NOUN
ajst-31199	10	17	still	still	ADV
ajst-31199	10	18	faces	face	VERB
ajst-31199	10	19	many	many	ADJ
ajst-31199	10	20	problems	problem	NOUN
ajst-31199	10	21	,	,	PUNCT
ajst-31199	10	22	such	such	ADJ
ajst-31199	10	23	as	as	ADP
ajst-31199	10	24	the	the	DET
ajst-31199	10	25	model	model	NOUN
ajst-31199	10	26	structure	structure	NOUN
ajst-31199	10	27	is	be	AUX
ajst-31199	10	28	not	not	PART
ajst-31199	10	29	adapted	adapt	VERB
ajst-31199	10	30	to	to	ADP
ajst-31199	10	31	the	the	DET
ajst-31199	10	32	characteristics	characteristic	NOUN
ajst-31199	10	33	of	of	ADP
ajst-31199	10	34	remote	remote	ADJ
ajst-31199	10	35	sensing	sense	VERB
ajst-31199	10	36	data	datum	NOUN
ajst-31199	10	37	,	,	PUNCT
ajst-31199	10	38	insufficient	insufficient	ADJ
ajst-31199	10	39	training	training	NOUN
ajst-31199	10	40	samples	sample	NOUN
ajst-31199	10	41	,	,	PUNCT
ajst-31199	10	42	high	high	ADJ
ajst-31199	10	43	risk	risk	NOUN
ajst-31199	10	44	of	of	ADP
ajst-31199	10	45	overfitting	overfitte	VERB
ajst-31199	10	46	,	,	PUNCT
ajst-31199	10	47	and	and	CCONJ
ajst-31199	10	48	limited	limited	ADJ
ajst-31199	10	49	model	model	NOUN
ajst-31199	10	50	generalisation	generalisation	NOUN
ajst-31199	10	51	ability	ability	NOUN
ajst-31199	10	52	.	.	PUNCT
ajst-31199	11	1	therefore	therefore	ADV
ajst-31199	11	2	,	,	PUNCT
ajst-31199	11	3	a	a	DET
ajst-31199	11	4	systematic	systematic	ADJ
ajst-31199	11	5	study	study	NOUN
ajst-31199	11	6	on	on	ADP
ajst-31199	11	7	the	the	DET
ajst-31199	11	8	application	application	NOUN
ajst-31199	11	9	and	and	CCONJ
ajst-31199	11	10	optimisation	optimisation	NOUN
ajst-31199	11	11	of	of	ADP
ajst-31199	11	12	deep	deep	ADJ
ajst-31199	11	13	learning	learning	NOUN
ajst-31199	11	14	in	in	ADP
ajst-31199	11	15	remote	remote	ADJ
ajst-31199	11	16	sensing	sense	VERB
ajst-31199	11	17	change	change	NOUN
ajst-31199	11	18	detection	detection	NOUN
ajst-31199	11	19	not	not	PART
ajst-31199	11	20	only	only	ADV
ajst-31199	11	21	has	have	VERB
ajst-31199	11	22	important	important	ADJ
ajst-31199	11	23	theoretical	theoretical	ADJ
ajst-31199	11	24	value	value	NOUN
ajst-31199	11	25	,	,	PUNCT
ajst-31199	11	26	but	but	CCONJ
ajst-31199	11	27	also	also	ADV
ajst-31199	11	28	has	have	VERB
ajst-31199	11	29	outstanding	outstanding	ADJ
ajst-31199	11	30	engineering	engineering	NOUN
ajst-31199	11	31	application	application	NOUN
ajst-31199	11	32	significance[3	significance[3	NOUN
ajst-31199	11	33	]	]	X
ajst-31199	11	34	.	.	PUNCT
ajst-31199	12	1	2	2	X
ajst-31199	12	2	.	.	X
ajst-31199	12	3	the	the	DET
ajst-31199	12	4	basis	basis	NOUN
ajst-31199	12	5	of	of	ADP
ajst-31199	12	6	change	change	NOUN
ajst-31199	12	7	detection	detection	NOUN
ajst-31199	12	8	of	of	ADP
ajst-31199	12	9	high	high	ADJ
ajst-31199	12	10	-	-	PUNCT
ajst-31199	12	11	resolution	resolution	NOUN
ajst-31199	12	12	remote	remote	ADJ
ajst-31199	12	13	sensing	sensing	NOUN
ajst-31199	12	14	images	image	NOUN
ajst-31199	12	15	2.1	2.1	NUM
ajst-31199	12	16	.	.	PUNCT
ajst-31199	13	1	definition	definition	NOUN
ajst-31199	13	2	and	and	CCONJ
ajst-31199	13	3	characteristics	characteristic	NOUN
ajst-31199	13	4	of	of	ADP
ajst-31199	13	5	highresolution	highresolution	NOUN
ajst-31199	13	6	remote	remote	ADJ
ajst-31199	13	7	sensing	sensing	NOUN
ajst-31199	13	8	images	image	NOUN
ajst-31199	13	9	high	high	ADJ
ajst-31199	13	10	-	-	PUNCT
ajst-31199	13	11	resolution	resolution	NOUN
ajst-31199	13	12	remote	remote	ADJ
ajst-31199	13	13	sensing	sensing	NOUN
ajst-31199	13	14	images	image	NOUN
ajst-31199	13	15	usually	usually	ADV
ajst-31199	13	16	refer	refer	VERB
ajst-31199	13	17	to	to	ADP
ajst-31199	13	18	remote	remote	ADJ
ajst-31199	13	19	sensing	sense	VERB
ajst-31199	13	20	data	datum	NOUN
ajst-31199	13	21	with	with	ADP
ajst-31199	13	22	a	a	DET
ajst-31199	13	23	spatial	spatial	ADJ
ajst-31199	13	24	resolution	resolution	NOUN
ajst-31199	13	25	better	well	ADJ
ajst-31199	13	26	than	than	ADP
ajst-31199	13	27	1	1	NUM
ajst-31199	13	28	metre	metre	NOUN
ajst-31199	13	29	,	,	PUNCT
ajst-31199	13	30	which	which	PRON
ajst-31199	13	31	can	can	AUX
ajst-31199	13	32	provide	provide	VERB
ajst-31199	13	33	rich	rich	ADJ
ajst-31199	13	34	feature	feature	NOUN
ajst-31199	13	35	details	detail	NOUN
ajst-31199	13	36	and	and	CCONJ
ajst-31199	13	37	boundary	boundary	ADJ
ajst-31199	13	38	information	information	NOUN
ajst-31199	13	39	,	,	PUNCT
ajst-31199	13	40	and	and	CCONJ
ajst-31199	13	41	are	be	AUX
ajst-31199	13	42	widely	widely	ADV
ajst-31199	13	43	used	use	VERB
ajst-31199	13	44	in	in	ADP
ajst-31199	13	45	fields	field	NOUN
ajst-31199	13	46	such	such	ADJ
ajst-31199	13	47	as	as	ADP
ajst-31199	13	48	urban	urban	ADJ
ajst-31199	13	49	planning	planning	NOUN
ajst-31199	13	50	,	,	PUNCT
ajst-31199	13	51	resource	resource	NOUN
ajst-31199	13	52	investigation	investigation	NOUN
ajst-31199	13	53	and	and	CCONJ
ajst-31199	13	54	disaster	disaster	NOUN
ajst-31199	13	55	assessment	assessment	NOUN
ajst-31199	13	56	.	.	PUNCT
ajst-31199	14	1	its	its	PRON
ajst-31199	14	2	distinctive	distinctive	ADJ
ajst-31199	14	3	features	feature	NOUN
ajst-31199	14	4	include	include	VERB
ajst-31199	14	5	:	:	PUNCT
ajst-31199	14	6	(	(	PUNCT
ajst-31199	14	7	1	1	X
ajst-31199	14	8	)	)	PUNCT
ajst-31199	14	9	clear	clear	ADJ
ajst-31199	14	10	image	image	NOUN
ajst-31199	14	11	details	detail	NOUN
ajst-31199	14	12	,	,	PUNCT
ajst-31199	14	13	which	which	PRON
ajst-31199	14	14	can	can	AUX
ajst-31199	14	15	distinguish	distinguish	VERB
ajst-31199	14	16	small	small	ADJ
ajst-31199	14	17	-	-	PUNCT
ajst-31199	14	18	scale	scale	NOUN
ajst-31199	14	19	features	feature	NOUN
ajst-31199	14	20	;	;	PUNCT
ajst-31199	14	21	(	(	PUNCT
ajst-31199	14	22	2	2	X
ajst-31199	14	23	)	)	PUNCT
ajst-31199	14	24	large	large	ADJ
ajst-31199	14	25	data	datum	NOUN
ajst-31199	14	26	volume	volume	NOUN
ajst-31199	14	27	and	and	CCONJ
ajst-31199	14	28	high	high	ADJ
ajst-31199	14	29	computational	computational	ADJ
ajst-31199	14	30	complexity	complexity	NOUN
ajst-31199	14	31	;	;	PUNCT
ajst-31199	14	32	(	(	PUNCT
ajst-31199	14	33	3	3	X
ajst-31199	14	34	)	)	PUNCT
ajst-31199	14	35	rich	rich	ADJ
ajst-31199	14	36	information	information	NOUN
ajst-31199	14	37	dimensions	dimension	NOUN
ajst-31199	14	38	,	,	PUNCT
ajst-31199	14	39	including	include	VERB
ajst-31199	14	40	spectral	spectral	ADJ
ajst-31199	14	41	,	,	PUNCT
ajst-31199	14	42	spatial	spatial	ADJ
ajst-31199	14	43	and	and	CCONJ
ajst-31199	14	44	textural	textural	ADJ
ajst-31199	14	45	features[4	features[4	NOUN
ajst-31199	14	46	]	]	X
ajst-31199	14	47	;	;	PUNCT
ajst-31199	14	48	and	and	CCONJ
ajst-31199	14	49	(	(	PUNCT
ajst-31199	14	50	4	4	X
ajst-31199	14	51	)	)	PUNCT
ajst-31199	14	52	sensitive	sensitive	ADJ
ajst-31199	14	53	to	to	ADP
ajst-31199	14	54	the	the	DET
ajst-31199	14	55	influence	influence	NOUN
ajst-31199	14	56	of	of	ADP
ajst-31199	14	57	noise	noise	NOUN
ajst-31199	14	58	and	and	CCONJ
ajst-31199	14	59	environmental	environmental	ADJ
ajst-31199	14	60	factors	factor	NOUN
ajst-31199	14	61	.	.	PUNCT
ajst-31199	15	1	high	high	ADJ
ajst-31199	15	2	-	-	PUNCT
ajst-31199	15	3	resolution	resolution	NOUN
ajst-31199	15	4	remote	remote	ADJ
ajst-31199	15	5	sensing	sense	VERB
ajst-31199	15	6	data	datum	NOUN
ajst-31199	15	7	provide	provide	VERB
ajst-31199	15	8	the	the	DET
ajst-31199	15	9	basis	basis	NOUN
ajst-31199	15	10	for	for	ADP
ajst-31199	15	11	fine	fine	ADJ
ajst-31199	15	12	feature	feature	NOUN
ajst-31199	15	13	identification	identification	NOUN
ajst-31199	15	14	and	and	CCONJ
ajst-31199	15	15	change	change	NOUN
ajst-31199	15	16	detection	detection	NOUN
ajst-31199	15	17	,	,	PUNCT
ajst-31199	15	18	but	but	CCONJ
ajst-31199	15	19	also	also	ADV
ajst-31199	15	20	put	put	VERB
ajst-31199	15	21	forward	forward	ADV
ajst-31199	15	22	higher	high	ADJ
ajst-31199	15	23	requirements	requirement	NOUN
ajst-31199	15	24	for	for	ADP
ajst-31199	15	25	image	image	NOUN
ajst-31199	15	26	processing	processing	NOUN
ajst-31199	15	27	technology	technology	NOUN
ajst-31199	15	28	,	,	PUNCT
ajst-31199	15	29	especially	especially	ADV
ajst-31199	15	30	in	in	ADP
ajst-31199	15	31	feature	feature	NOUN
ajst-31199	15	32	extraction	extraction	NOUN
ajst-31199	15	33	,	,	PUNCT
ajst-31199	15	34	alignment	alignment	NOUN
ajst-31199	15	35	accuracy	accuracy	NOUN
ajst-31199	15	36	and	and	CCONJ
ajst-31199	15	37	change	change	NOUN
ajst-31199	15	38	difference	difference	NOUN
ajst-31199	15	39	identification	identification	NOUN
ajst-31199	15	40	,	,	PUNCT
ajst-31199	15	41	which	which	PRON
ajst-31199	15	42	need	need	VERB
ajst-31199	15	43	to	to	PART
ajst-31199	15	44	rely	rely	VERB
ajst-31199	15	45	on	on	ADP
ajst-31199	15	46	more	more	ADV
ajst-31199	15	47	advanced	advanced	ADJ
ajst-31199	15	48	algorithms	algorithm	NOUN
ajst-31199	15	49	to	to	ADP
ajst-31199	15	50	solve[5	solve[5	PROPN
ajst-31199	15	51	]	]	PUNCT
ajst-31199	15	52	.	.	PUNCT
ajst-31199	16	1	2.2	2.2	NUM
ajst-31199	16	2	.	.	PUNCT
ajst-31199	16	3	basic	basic	ADJ
ajst-31199	16	4	principle	principle	NOUN
ajst-31199	16	5	and	and	CCONJ
ajst-31199	16	6	classification	classification	NOUN
ajst-31199	16	7	of	of	ADP
ajst-31199	16	8	change	change	NOUN
ajst-31199	16	9	detection	detection	NOUN
ajst-31199	16	10	change	change	NOUN
ajst-31199	16	11	detection	detection	NOUN
ajst-31199	16	12	refers	refer	VERB
ajst-31199	16	13	to	to	ADP
ajst-31199	16	14	the	the	DET
ajst-31199	16	15	process	process	NOUN
ajst-31199	16	16	of	of	ADP
ajst-31199	16	17	identifying	identify	VERB
ajst-31199	16	18	the	the	DET
ajst-31199	16	19	change	change	NOUN
ajst-31199	16	20	information	information	NOUN
ajst-31199	16	21	of	of	ADP
ajst-31199	16	22	surface	surface	NOUN
ajst-31199	16	23	targets	target	NOUN
ajst-31199	16	24	through	through	ADP
ajst-31199	16	25	comparative	comparative	ADJ
ajst-31199	16	26	analysis	analysis	NOUN
ajst-31199	16	27	between	between	ADP
ajst-31199	16	28	remote	remote	ADJ
ajst-31199	16	29	sensing	sensing	NOUN
ajst-31199	16	30	images	image	NOUN
ajst-31199	16	31	of	of	ADP
ajst-31199	16	32	the	the	DET
ajst-31199	16	33	same	same	ADJ
ajst-31199	16	34	region	region	NOUN
ajst-31199	16	35	obtained	obtain	VERB
ajst-31199	16	36	in	in	ADP
ajst-31199	16	37	different	different	ADJ
ajst-31199	16	38	periods	period	NOUN
ajst-31199	16	39	.	.	PUNCT
ajst-31199	17	1	its	its	PRON
ajst-31199	17	2	basic	basic	ADJ
ajst-31199	17	3	principles	principle	NOUN
ajst-31199	17	4	include	include	VERB
ajst-31199	17	5	image	image	NOUN
ajst-31199	17	6	alignment	alignment	NOUN
ajst-31199	17	7	,	,	PUNCT
ajst-31199	17	8	radiation	radiation	NOUN
ajst-31199	17	9	normalisation	normalisation	NOUN
ajst-31199	17	10	,	,	PUNCT
ajst-31199	17	11	difference	difference	NOUN
ajst-31199	17	12	analysis	analysis	NOUN
ajst-31199	17	13	and	and	CCONJ
ajst-31199	17	14	result	result	VERB
ajst-31199	17	15	interpretation	interpretation	NOUN
ajst-31199	17	16	.	.	PUNCT
ajst-31199	18	1	according	accord	VERB
ajst-31199	18	2	to	to	ADP
ajst-31199	18	3	the	the	DET
ajst-31199	18	4	different	different	ADJ
ajst-31199	18	5	processing	processing	NOUN
ajst-31199	18	6	methods	method	NOUN
ajst-31199	18	7	,	,	PUNCT
ajst-31199	18	8	the	the	DET
ajst-31199	18	9	change	change	NOUN
ajst-31199	18	10	detection	detection	NOUN
ajst-31199	18	11	methods	method	NOUN
ajst-31199	18	12	can	can	AUX
ajst-31199	18	13	be	be	AUX
ajst-31199	18	14	divided	divide	VERB
ajst-31199	18	15	into	into	ADP
ajst-31199	18	16	:	:	PUNCT
ajst-31199	18	17	based	base	VERB
ajst-31199	18	18	on	on	ADP
ajst-31199	18	19	image	image	NOUN
ajst-31199	18	20	difference	difference	NOUN
ajst-31199	18	21	method	method	NOUN
ajst-31199	18	22	(	(	PUNCT
ajst-31199	18	23	e.g.	e.g.	ADV
ajst-31199	18	24	,	,	PUNCT
ajst-31199	18	25	image	image	NOUN
ajst-31199	18	26	difference	difference	NOUN
ajst-31199	18	27	,	,	PUNCT
ajst-31199	18	28	ratio	ratio	NOUN
ajst-31199	18	29	,	,	PUNCT
ajst-31199	18	30	principal	principal	ADJ
ajst-31199	18	31	component	component	NOUN
ajst-31199	18	32	analysis	analysis	NOUN
ajst-31199	18	33	)	)	PUNCT
ajst-31199	18	34	,	,	PUNCT
ajst-31199	18	35	based	base	VERB
ajst-31199	18	36	on	on	ADP
ajst-31199	18	37	classification	classification	NOUN
ajst-31199	18	38	method	method	NOUN
ajst-31199	18	39	(	(	PUNCT
ajst-31199	18	40	e.g.	e.g.	ADV
ajst-31199	18	41	,	,	PUNCT
ajst-31199	18	42	post	post	ADJ
ajst-31199	18	43	-	-	ADJ
ajst-31199	18	44	classification	classification	ADJ
ajst-31199	18	45	comparison	comparison	NOUN
ajst-31199	18	46	,	,	PUNCT
ajst-31199	18	47	decision	decision	NOUN
ajst-31199	18	48	-	-	PUNCT
ajst-31199	18	49	level	level	NOUN
ajst-31199	18	50	fusion	fusion	NOUN
ajst-31199	18	51	)	)	PUNCT
ajst-31199	18	52	and	and	CCONJ
ajst-31199	18	53	based	base	VERB
ajst-31199	18	54	on	on	ADP
ajst-31199	18	55	deep	deep	ADJ
ajst-31199	18	56	learning	learning	NOUN
ajst-31199	18	57	method	method	NOUN
ajst-31199	18	58	.	.	PUNCT
ajst-31199	19	1	according	accord	VERB
ajst-31199	19	2	to	to	ADP
ajst-31199	19	3	the	the	DET
ajst-31199	19	4	spatial	spatial	ADJ
ajst-31199	19	5	scale	scale	NOUN
ajst-31199	19	6	of	of	ADP
ajst-31199	19	7	the	the	DET
ajst-31199	19	8	research	research	NOUN
ajst-31199	19	9	object	object	NOUN
ajst-31199	19	10	and	and	CCONJ
ajst-31199	19	11	application	application	NOUN
ajst-31199	19	12	requirements	requirement	NOUN
ajst-31199	19	13	,	,	PUNCT
ajst-31199	19	14	the	the	DET
ajst-31199	19	15	change	change	NOUN
ajst-31199	19	16	detection	detection	NOUN
ajst-31199	19	17	task	task	NOUN
ajst-31199	19	18	can	can	AUX
ajst-31199	19	19	be	be	AUX
ajst-31199	19	20	further	far	ADV
ajst-31199	19	21	divided	divide	VERB
ajst-31199	19	22	into	into	ADP
ajst-31199	19	23	pixel	pixel	NOUN
ajst-31199	19	24	-	-	PUNCT
ajst-31199	19	25	oriented	orient	VERB
ajst-31199	19	26	,	,	PUNCT
ajst-31199	19	27	object	object	NOUN
ajst-31199	19	28	-	-	PUNCT
ajst-31199	19	29	oriented	orient	VERB
ajst-31199	19	30	and	and	CCONJ
ajst-31199	19	31	semantic	semantic	ADJ
ajst-31199	19	32	-	-	PUNCT
ajst-31199	19	33	oriented	orient	VERB
ajst-31199	19	34	detection	detection	NOUN
ajst-31199	19	35	methods[6	methods[6	PRON
ajst-31199	19	36	]	]	NOUN
ajst-31199	19	37	.	.	PUNCT
ajst-31199	20	1	2.3	2.3	NUM
ajst-31199	20	2	.	.	PUNCT
ajst-31199	21	1	main	main	ADJ
ajst-31199	21	2	challenges	challenge	NOUN
ajst-31199	21	3	of	of	ADP
ajst-31199	21	4	change	change	NOUN
ajst-31199	21	5	detection	detection	NOUN
ajst-31199	21	6	in	in	ADP
ajst-31199	21	7	remote	remote	ADJ
ajst-31199	21	8	sensing	sensing	NOUN
ajst-31199	21	9	images	image	NOUN
ajst-31199	21	10	although	although	SCONJ
ajst-31199	21	11	high	high	ADJ
ajst-31199	21	12	-	-	PUNCT
ajst-31199	21	13	resolution	resolution	NOUN
ajst-31199	21	14	imagery	imagery	NOUN
ajst-31199	21	15	brings	bring	VERB
ajst-31199	21	16	rich	rich	ADJ
ajst-31199	21	17	feature	feature	NOUN
ajst-31199	21	18	information	information	NOUN
ajst-31199	21	19	,	,	PUNCT
ajst-31199	21	20	it	it	PRON
ajst-31199	21	21	faces	face	VERB
ajst-31199	21	22	the	the	DET
ajst-31199	21	23	following	follow	VERB
ajst-31199	21	24	challenges	challenge	NOUN
ajst-31199	21	25	in	in	ADP
ajst-31199	21	26	change	change	NOUN
ajst-31199	21	27	detection	detection	NOUN
ajst-31199	21	28	applications	application	NOUN
ajst-31199	21	29	:	:	PUNCT
ajst-31199	21	30	(	(	PUNCT
ajst-31199	21	31	1	1	X
ajst-31199	21	32	)	)	PUNCT
ajst-31199	21	33	image	image	NOUN
ajst-31199	21	34	alignment	alignment	NOUN
ajst-31199	21	35	errors	error	NOUN
ajst-31199	21	36	have	have	VERB
ajst-31199	21	37	a	a	DET
ajst-31199	21	38	41	41	NUM
ajst-31199	21	39	significant	significant	ADJ
ajst-31199	21	40	impact	impact	NOUN
ajst-31199	21	41	on	on	ADP
ajst-31199	21	42	detection	detection	NOUN
ajst-31199	21	43	accuracy	accuracy	NOUN
ajst-31199	21	44	;	;	PUNCT
ajst-31199	21	45	(	(	PUNCT
ajst-31199	21	46	2	2	X
ajst-31199	21	47	)	)	PUNCT
ajst-31199	21	48	seasonal	seasonal	ADJ
ajst-31199	21	49	variations	variation	NOUN
ajst-31199	21	50	,	,	PUNCT
ajst-31199	21	51	lighting	light	VERB
ajst-31199	21	52	differences	difference	NOUN
ajst-31199	21	53	and	and	CCONJ
ajst-31199	21	54	other	other	ADJ
ajst-31199	21	55	non	non	ADJ
ajst-31199	21	56	-	-	ADJ
ajst-31199	21	57	featured	feature	VERB
ajst-31199	21	58	factors	factor	NOUN
ajst-31199	21	59	are	be	AUX
ajst-31199	21	60	prone	prone	ADJ
ajst-31199	21	61	to	to	ADP
ajst-31199	21	62	pseudo	pseudo	NOUN
ajst-31199	21	63	-	-	NOUN
ajst-31199	21	64	changes	change	NOUN
ajst-31199	21	65	;	;	PUNCT
ajst-31199	21	66	(	(	PUNCT
ajst-31199	21	67	3	3	X
ajst-31199	21	68	)	)	PUNCT
ajst-31199	21	69	blurred	blurred	ADJ
ajst-31199	21	70	boundaries	boundary	NOUN
ajst-31199	21	71	of	of	ADP
ajst-31199	21	72	complex	complex	ADJ
ajst-31199	21	73	features	feature	NOUN
ajst-31199	21	74	increase	increase	VERB
ajst-31199	21	75	the	the	DET
ajst-31199	21	76	difficulty	difficulty	NOUN
ajst-31199	21	77	of	of	ADP
ajst-31199	21	78	change	change	NOUN
ajst-31199	21	79	discrimination	discrimination	NOUN
ajst-31199	21	80	;	;	PUNCT
ajst-31199	21	81	(	(	PUNCT
ajst-31199	21	82	4	4	X
ajst-31199	21	83	)	)	PUNCT
ajst-31199	21	84	data	datum	NOUN
ajst-31199	21	85	redundancy	redundancy	NOUN
ajst-31199	21	86	and	and	CCONJ
ajst-31199	21	87	computational	computational	ADJ
ajst-31199	21	88	resource	resource	NOUN
ajst-31199	21	89	consumption	consumption	NOUN
ajst-31199	21	90	of	of	ADP
ajst-31199	21	91	high	high	ADJ
ajst-31199	21	92	-	-	PUNCT
ajst-31199	21	93	resolution	resolution	NOUN
ajst-31199	21	94	imagery	imagery	NOUN
ajst-31199	21	95	are	be	AUX
ajst-31199	21	96	high	high	ADJ
ajst-31199	21	97	;	;	PUNCT
ajst-31199	21	98	and	and	CCONJ
ajst-31199	21	99	(	(	PUNCT
ajst-31199	21	100	5	5	X
ajst-31199	21	101	)	)	PUNCT
ajst-31199	21	102	model	model	NOUN
ajst-31199	21	103	training	training	NOUN
ajst-31199	21	104	relies	rely	VERB
ajst-31199	21	105	on	on	ADP
ajst-31199	21	106	a	a	DET
ajst-31199	21	107	large	large	ADJ
ajst-31199	21	108	amount	amount	NOUN
ajst-31199	21	109	of	of	ADP
ajst-31199	21	110	labelled	label	VERB
ajst-31199	21	111	data	datum	NOUN
ajst-31199	21	112	,	,	PUNCT
ajst-31199	21	113	and	and	CCONJ
ajst-31199	21	114	remote	remote	ADJ
ajst-31199	21	115	sensing	sense	VERB
ajst-31199	21	116	data	datum	NOUN
ajst-31199	21	117	annotation	annotation	NOUN
ajst-31199	21	118	is	be	AUX
ajst-31199	21	119	costly[7	costly[7	NOUN
ajst-31199	21	120	]	]	PUNCT
ajst-31199	21	121	.	.	PUNCT
ajst-31199	22	1	2.4	2.4	NUM
ajst-31199	22	2	.	.	PUNCT
ajst-31199	22	3	common	common	ADJ
ajst-31199	22	4	change	change	NOUN
ajst-31199	22	5	detection	detection	NOUN
ajst-31199	22	6	evaluation	evaluation	NOUN
ajst-31199	22	7	index	index	NOUN
ajst-31199	22	8	system	system	NOUN
ajst-31199	22	9	the	the	DET
ajst-31199	22	10	effectiveness	effectiveness	NOUN
ajst-31199	22	11	of	of	ADP
ajst-31199	22	12	change	change	NOUN
ajst-31199	22	13	detection	detection	NOUN
ajst-31199	22	14	results	result	NOUN
ajst-31199	22	15	needs	need	VERB
ajst-31199	22	16	to	to	PART
ajst-31199	22	17	be	be	AUX
ajst-31199	22	18	verified	verify	VERB
ajst-31199	22	19	by	by	ADP
ajst-31199	22	20	a	a	DET
ajst-31199	22	21	scientific	scientific	ADJ
ajst-31199	22	22	evaluation	evaluation	NOUN
ajst-31199	22	23	index	index	NOUN
ajst-31199	22	24	system	system	NOUN
ajst-31199	22	25	.	.	PUNCT
ajst-31199	23	1	commonly	commonly	ADV
ajst-31199	23	2	used	use	VERB
ajst-31199	23	3	indicators	indicator	NOUN
ajst-31199	23	4	include	include	VERB
ajst-31199	23	5	overall	overall	ADJ
ajst-31199	23	6	accuracy	accuracy	NOUN
ajst-31199	23	7	(	(	PUNCT
ajst-31199	23	8	oa	oa	INTJ
ajst-31199	23	9	)	)	PUNCT
ajst-31199	23	10	,	,	PUNCT
ajst-31199	23	11	kappa	kappa	PROPN
ajst-31199	23	12	coefficient	coefficient	NOUN
ajst-31199	23	13	,	,	PUNCT
ajst-31199	23	14	detection	detection	NOUN
ajst-31199	23	15	accuracy	accuracy	NOUN
ajst-31199	23	16	(	(	PUNCT
ajst-31199	23	17	pa	pa	PROPN
ajst-31199	23	18	)	)	PUNCT
ajst-31199	23	19	,	,	PUNCT
ajst-31199	23	20	user	user	NOUN
ajst-31199	23	21	accuracy	accuracy	NOUN
ajst-31199	23	22	(	(	PUNCT
ajst-31199	23	23	ua	ua	NOUN
ajst-31199	23	24	)	)	PUNCT
ajst-31199	23	25	,	,	PUNCT
ajst-31199	23	26	false	false	ADJ
ajst-31199	23	27	positives	positive	NOUN
ajst-31199	23	28	rate	rate	NOUN
ajst-31199	23	29	(	(	PUNCT
ajst-31199	23	30	fpr	fpr	NOUN
ajst-31199	23	31	)	)	PUNCT
ajst-31199	23	32	and	and	CCONJ
ajst-31199	23	33	missed	miss	VERB
ajst-31199	23	34	positives	positive	NOUN
ajst-31199	23	35	rate	rate	NOUN
ajst-31199	23	36	(	(	PUNCT
ajst-31199	23	37	fnr	fnr	PROPN
ajst-31199	23	38	)	)	PUNCT
ajst-31199	23	39	.	.	PUNCT
ajst-31199	24	1	among	among	ADP
ajst-31199	24	2	them	they	PRON
ajst-31199	24	3	,	,	PUNCT
ajst-31199	24	4	the	the	DET
ajst-31199	24	5	overall	overall	ADJ
ajst-31199	24	6	accuracy	accuracy	NOUN
ajst-31199	24	7	measures	measure	VERB
ajst-31199	24	8	the	the	DET
ajst-31199	24	9	proportion	proportion	NOUN
ajst-31199	24	10	of	of	ADP
ajst-31199	24	11	correct	correct	ADJ
ajst-31199	24	12	classifications	classification	NOUN
ajst-31199	24	13	,	,	PUNCT
ajst-31199	24	14	the	the	DET
ajst-31199	24	15	kappa	kappa	PROPN
ajst-31199	24	16	coefficient	coefficient	NOUN
ajst-31199	24	17	reflects	reflect	VERB
ajst-31199	24	18	the	the	DET
ajst-31199	24	19	difference	difference	NOUN
ajst-31199	24	20	between	between	ADP
ajst-31199	24	21	the	the	DET
ajst-31199	24	22	results	result	NOUN
ajst-31199	24	23	and	and	CCONJ
ajst-31199	24	24	the	the	DET
ajst-31199	24	25	random	random	ADJ
ajst-31199	24	26	consistency	consistency	NOUN
ajst-31199	24	27	;	;	PUNCT
ajst-31199	24	28	pa	pa	PROPN
ajst-31199	24	29	and	and	CCONJ
ajst-31199	24	30	ua	ua	PROPN
ajst-31199	24	31	are	be	AUX
ajst-31199	24	32	used	use	VERB
ajst-31199	24	33	to	to	PART
ajst-31199	24	34	assess	assess	VERB
ajst-31199	24	35	the	the	DET
ajst-31199	24	36	ability	ability	NOUN
ajst-31199	24	37	of	of	ADP
ajst-31199	24	38	a	a	DET
ajst-31199	24	39	certain	certain	ADJ
ajst-31199	24	40	type	type	NOUN
ajst-31199	24	41	of	of	ADP
ajst-31199	24	42	change	change	NOUN
ajst-31199	24	43	to	to	PART
ajst-31199	24	44	be	be	AUX
ajst-31199	24	45	correctly	correctly	ADV
ajst-31199	24	46	recognised	recognise	VERB
ajst-31199	24	47	and	and	CCONJ
ajst-31199	24	48	the	the	DET
ajst-31199	24	49	likelihood	likelihood	NOUN
ajst-31199	24	50	of	of	ADP
ajst-31199	24	51	misrecognition	misrecognition	NOUN
ajst-31199	24	52	,	,	PUNCT
ajst-31199	24	53	respectively	respectively	ADV
ajst-31199	24	54	.	.	PUNCT
ajst-31199	25	1	3	3	X
ajst-31199	25	2	.	.	X
ajst-31199	25	3	theoretical	theoretical	ADJ
ajst-31199	25	4	foundations	foundation	NOUN
ajst-31199	25	5	of	of	ADP
ajst-31199	25	6	deep	deep	ADJ
ajst-31199	25	7	learning	learning	NOUN
ajst-31199	25	8	techniques	technique	NOUN
ajst-31199	25	9	3.1	3.1	NUM
ajst-31199	25	10	.	.	PUNCT
ajst-31199	26	1	development	development	NOUN
ajst-31199	26	2	and	and	CCONJ
ajst-31199	26	3	basic	basic	ADJ
ajst-31199	26	4	principles	principle	NOUN
ajst-31199	26	5	of	of	ADP
ajst-31199	26	6	deep	deep	ADJ
ajst-31199	26	7	learning	learning	NOUN
ajst-31199	26	8	deep	deep	ADJ
ajst-31199	26	9	learning	learning	NOUN
ajst-31199	26	10	(	(	PUNCT
ajst-31199	26	11	deep	deep	ADJ
ajst-31199	26	12	learning	learning	NOUN
ajst-31199	26	13	)	)	PUNCT
ajst-31199	26	14	originated	originate	VERB
ajst-31199	26	15	from	from	ADP
ajst-31199	26	16	the	the	DET
ajst-31199	26	17	study	study	NOUN
ajst-31199	26	18	of	of	ADP
ajst-31199	26	19	artificial	artificial	ADJ
ajst-31199	26	20	neural	neural	ADJ
ajst-31199	26	21	networks	network	NOUN
ajst-31199	26	22	,	,	PUNCT
ajst-31199	26	23	is	be	AUX
ajst-31199	26	24	a	a	DET
ajst-31199	26	25	machine	machine	NOUN
ajst-31199	26	26	learning	learning	NOUN
ajst-31199	26	27	method	method	NOUN
ajst-31199	26	28	based	base	VERB
ajst-31199	26	29	on	on	ADP
ajst-31199	26	30	multi	multi	ADJ
ajst-31199	26	31	-	-	ADJ
ajst-31199	26	32	layer	layer	ADJ
ajst-31199	26	33	nonlinear	nonlinear	ADJ
ajst-31199	26	34	transformation	transformation	NOUN
ajst-31199	26	35	,	,	PUNCT
ajst-31199	26	36	and	and	CCONJ
ajst-31199	26	37	has	have	AUX
ajst-31199	26	38	made	make	VERB
ajst-31199	26	39	breakthroughs	breakthrough	NOUN
ajst-31199	26	40	in	in	ADP
ajst-31199	26	41	recent	recent	ADJ
ajst-31199	26	42	years	year	NOUN
ajst-31199	26	43	in	in	ADP
ajst-31199	26	44	the	the	DET
ajst-31199	26	45	fields	field	NOUN
ajst-31199	26	46	of	of	ADP
ajst-31199	26	47	image	image	NOUN
ajst-31199	26	48	recognition	recognition	NOUN
ajst-31199	26	49	,	,	PUNCT
ajst-31199	26	50	speech	speech	NOUN
ajst-31199	26	51	recognition	recognition	NOUN
ajst-31199	26	52	,	,	PUNCT
ajst-31199	26	53	natural	natural	ADJ
ajst-31199	26	54	language	language	NOUN
ajst-31199	26	55	processing	processing	NOUN
ajst-31199	26	56	and	and	CCONJ
ajst-31199	26	57	remote	remote	ADJ
ajst-31199	26	58	sensing	sense	VERB
ajst-31199	26	59	change	change	NOUN
ajst-31199	26	60	detection	detection	NOUN
ajst-31199	26	61	.	.	PUNCT
ajst-31199	27	1	its	its	PRON
ajst-31199	27	2	core	core	ADJ
ajst-31199	27	3	idea	idea	NOUN
ajst-31199	27	4	is	be	AUX
ajst-31199	27	5	to	to	PART
ajst-31199	27	6	automatically	automatically	ADV
ajst-31199	27	7	extract	extract	VERB
ajst-31199	27	8	multilevel	multilevel	NOUN
ajst-31199	27	9	,	,	PUNCT
ajst-31199	27	10	high	high	ADJ
ajst-31199	27	11	-	-	PUNCT
ajst-31199	27	12	abstraction	abstraction	NOUN
ajst-31199	27	13	feature	feature	NOUN
ajst-31199	27	14	representations	representation	NOUN
ajst-31199	27	15	by	by	ADP
ajst-31199	27	16	building	build	VERB
ajst-31199	27	17	a	a	DET
ajst-31199	27	18	deep	deep	ADJ
ajst-31199	27	19	network	network	NOUN
ajst-31199	27	20	structure	structure	NOUN
ajst-31199	27	21	,	,	PUNCT
ajst-31199	27	22	so	so	SCONJ
ajst-31199	27	23	as	as	SCONJ
ajst-31199	27	24	to	to	PART
ajst-31199	27	25	effectively	effectively	ADV
ajst-31199	27	26	deal	deal	VERB
ajst-31199	27	27	with	with	ADP
ajst-31199	27	28	the	the	DET
ajst-31199	27	29	bottleneck	bottleneck	NOUN
ajst-31199	27	30	of	of	ADP
ajst-31199	27	31	traditional	traditional	ADJ
ajst-31199	27	32	machine	machine	NOUN
ajst-31199	27	33	learning	learning	NOUN
ajst-31199	27	34	in	in	ADP
ajst-31199	27	35	feature	feature	NOUN
ajst-31199	27	36	engineering	engineering	NOUN
ajst-31199	27	37	.	.	PUNCT
ajst-31199	28	1	3.2	3.2	NUM
ajst-31199	28	2	.	.	PUNCT
ajst-31199	29	1	convolutional	convolutional	ADJ
ajst-31199	29	2	neural	neural	ADJ
ajst-31199	29	3	network	network	NOUN
ajst-31199	29	4	(	(	PUNCT
ajst-31199	29	5	cnn	cnn	PROPN
ajst-31199	29	6	)	)	PUNCT
ajst-31199	29	7	structure	structure	NOUN
ajst-31199	29	8	principle	principle	NOUN
ajst-31199	29	9	convolutional	convolutional	ADJ
ajst-31199	29	10	neural	neural	ADJ
ajst-31199	29	11	network	network	NOUN
ajst-31199	29	12	(	(	PUNCT
ajst-31199	29	13	cnn	cnn	PROPN
ajst-31199	29	14	)	)	PUNCT
ajst-31199	29	15	is	be	AUX
ajst-31199	29	16	one	one	NUM
ajst-31199	29	17	of	of	ADP
ajst-31199	29	18	the	the	DET
ajst-31199	29	19	most	most	ADV
ajst-31199	29	20	widely	widely	ADV
ajst-31199	29	21	used	use	VERB
ajst-31199	29	22	deep	deep	ADJ
ajst-31199	29	23	learning	learning	NOUN
ajst-31199	29	24	models	model	NOUN
ajst-31199	29	25	in	in	ADP
ajst-31199	29	26	the	the	DET
ajst-31199	29	27	field	field	NOUN
ajst-31199	29	28	of	of	ADP
ajst-31199	29	29	image	image	NOUN
ajst-31199	29	30	processing	processing	NOUN
ajst-31199	29	31	,	,	PUNCT
ajst-31199	29	32	which	which	PRON
ajst-31199	29	33	is	be	AUX
ajst-31199	29	34	especially	especially	ADV
ajst-31199	29	35	suitable	suitable	ADJ
ajst-31199	29	36	for	for	ADP
ajst-31199	29	37	feature	feature	NOUN
ajst-31199	29	38	extraction	extraction	NOUN
ajst-31199	29	39	and	and	CCONJ
ajst-31199	29	40	classification	classification	NOUN
ajst-31199	29	41	of	of	ADP
ajst-31199	29	42	remote	remote	ADJ
ajst-31199	29	43	sensing	sense	VERB
ajst-31199	29	44	images.the	images.the	DET
ajst-31199	29	45	structure	structure	NOUN
ajst-31199	29	46	of	of	ADP
ajst-31199	29	47	cnn	cnn	PROPN
ajst-31199	29	48	is	be	AUX
ajst-31199	29	49	mainly	mainly	ADV
ajst-31199	29	50	composed	compose	VERB
ajst-31199	29	51	of	of	ADP
ajst-31199	29	52	convolutional	convolutional	ADJ
ajst-31199	29	53	layer	layer	NOUN
ajst-31199	29	54	,	,	PUNCT
ajst-31199	29	55	pooling	pool	VERB
ajst-31199	29	56	layer	layer	NOUN
ajst-31199	29	57	,	,	PUNCT
ajst-31199	29	58	activation	activation	NOUN
ajst-31199	29	59	function	function	NOUN
ajst-31199	29	60	layer	layer	NOUN
ajst-31199	29	61	and	and	CCONJ
ajst-31199	29	62	fully	fully	ADV
ajst-31199	29	63	connected	connected	ADJ
ajst-31199	29	64	layer	layer	NOUN
ajst-31199	29	65	,	,	PUNCT
ajst-31199	29	66	in	in	ADP
ajst-31199	29	67	which	which	PRON
ajst-31199	29	68	the	the	DET
ajst-31199	29	69	convolutional	convolutional	ADJ
ajst-31199	29	70	layer	layer	NOUN
ajst-31199	29	71	achieves	achieve	VERB
ajst-31199	29	72	the	the	DET
ajst-31199	29	73	high	high	ADJ
ajst-31199	29	74	efficiency	efficiency	NOUN
ajst-31199	29	75	of	of	ADP
ajst-31199	29	76	local	local	ADJ
ajst-31199	29	77	spatial	spatial	ADJ
ajst-31199	29	78	structure	structure	NOUN
ajst-31199	29	79	through	through	ADP
ajst-31199	29	80	the	the	DET
ajst-31199	29	81	mechanism	mechanism	NOUN
ajst-31199	29	82	of	of	ADP
ajst-31199	29	83	local	local	ADJ
ajst-31199	29	84	sensing	sense	VERB
ajst-31199	29	85	field	field	NOUN
ajst-31199	29	86	and	and	CCONJ
ajst-31199	29	87	weight	weight	NOUN
ajst-31199	29	88	sharing	sharing	NOUN
ajst-31199	29	89	.	.	PUNCT
ajst-31199	30	1	among	among	ADP
ajst-31199	30	2	them	they	PRON
ajst-31199	30	3	,	,	PUNCT
ajst-31199	30	4	the	the	DET
ajst-31199	30	5	convolutional	convolutional	ADJ
ajst-31199	30	6	layer	layer	NOUN
ajst-31199	30	7	achieves	achieve	VERB
ajst-31199	30	8	efficient	efficient	ADJ
ajst-31199	30	9	modelling	modelling	NOUN
ajst-31199	30	10	of	of	ADP
ajst-31199	30	11	local	local	ADJ
ajst-31199	30	12	spatial	spatial	ADJ
ajst-31199	30	13	structure	structure	NOUN
ajst-31199	30	14	through	through	ADP
ajst-31199	30	15	local	local	ADJ
ajst-31199	30	16	receptive	receptive	ADJ
ajst-31199	30	17	field	field	NOUN
ajst-31199	30	18	and	and	CCONJ
ajst-31199	30	19	weight	weight	NOUN
ajst-31199	30	20	sharing	sharing	NOUN
ajst-31199	30	21	mechanism	mechanism	NOUN
ajst-31199	30	22	,	,	PUNCT
ajst-31199	30	23	which	which	PRON
ajst-31199	30	24	greatly	greatly	ADV
ajst-31199	30	25	reduces	reduce	VERB
ajst-31199	30	26	the	the	DET
ajst-31199	30	27	number	number	NOUN
ajst-31199	30	28	of	of	ADP
ajst-31199	30	29	parameters	parameter	NOUN
ajst-31199	30	30	and	and	CCONJ
ajst-31199	30	31	improves	improve	VERB
ajst-31199	30	32	the	the	DET
ajst-31199	30	33	learning	learning	NOUN
ajst-31199	30	34	efficiency	efficiency	NOUN
ajst-31199	30	35	.	.	PUNCT
ajst-31199	31	1	3.3	3.3	NUM
ajst-31199	31	2	.	.	PUNCT
ajst-31199	31	3	introduction	introduction	NOUN
ajst-31199	31	4	of	of	ADP
ajst-31199	31	5	typical	typical	ADJ
ajst-31199	31	6	deep	deep	ADJ
ajst-31199	31	7	learning	learning	NOUN
ajst-31199	31	8	models	model	NOUN
ajst-31199	31	9	several	several	ADJ
ajst-31199	31	10	deep	deep	ADJ
ajst-31199	31	11	learning	learning	NOUN
ajst-31199	31	12	models	model	NOUN
ajst-31199	31	13	are	be	AUX
ajst-31199	31	14	widely	widely	ADV
ajst-31199	31	15	adopted	adopt	VERB
ajst-31199	31	16	in	in	ADP
ajst-31199	31	17	remote	remote	ADJ
ajst-31199	31	18	sensing	sense	VERB
ajst-31199	31	19	image	image	NOUN
ajst-31199	31	20	change	change	NOUN
ajst-31199	31	21	detection	detection	NOUN
ajst-31199	31	22	,	,	PUNCT
ajst-31199	31	23	especially	especially	ADV
ajst-31199	31	24	convolutional	convolutional	ADJ
ajst-31199	31	25	neural	neural	ADJ
ajst-31199	31	26	networks	network	NOUN
ajst-31199	31	27	(	(	PUNCT
ajst-31199	31	28	cnn	cnn	PROPN
ajst-31199	31	29	)	)	PUNCT
ajst-31199	31	30	,	,	PUNCT
ajst-31199	31	31	recurrent	recurrent	ADJ
ajst-31199	31	32	neural	neural	ADJ
ajst-31199	31	33	networks	network	NOUN
ajst-31199	31	34	(	(	PUNCT
ajst-31199	31	35	rnn	rnn	PROPN
ajst-31199	31	36	)	)	PUNCT
ajst-31199	31	37	,	,	PUNCT
ajst-31199	31	38	u	u	NOUN
ajst-31199	31	39	-	-	NOUN
ajst-31199	31	40	net	net	ADJ
ajst-31199	31	41	,	,	PUNCT
ajst-31199	31	42	resnet	resnet	NOUN
ajst-31199	31	43	,	,	PUNCT
ajst-31199	31	44	densenet	densenet	NOUN
ajst-31199	31	45	,	,	PUNCT
ajst-31199	31	46	and	and	CCONJ
ajst-31199	31	47	transformer	transformer	NOUN
ajst-31199	31	48	-	-	PUNCT
ajst-31199	31	49	based	base	VERB
ajst-31199	31	50	architectures.cnn	architectures.cnn	PROPN
ajst-31199	31	51	,	,	PUNCT
ajst-31199	31	52	as	as	ADP
ajst-31199	31	53	a	a	DET
ajst-31199	31	54	basic	basic	ADJ
ajst-31199	31	55	model	model	NOUN
ajst-31199	31	56	,	,	PUNCT
ajst-31199	31	57	is	be	AUX
ajst-31199	31	58	mainly	mainly	ADV
ajst-31199	31	59	used	use	VERB
ajst-31199	31	60	for	for	ADP
ajst-31199	31	61	image	image	NOUN
ajst-31199	31	62	classification	classification	NOUN
ajst-31199	31	63	and	and	CCONJ
ajst-31199	31	64	local	local	ADJ
ajst-31199	31	65	feature	feature	NOUN
ajst-31199	31	66	extraction	extraction	NOUN
ajst-31199	31	67	,	,	PUNCT
ajst-31199	31	68	while	while	SCONJ
ajst-31199	31	69	u	u	NOUN
ajst-31199	31	70	-	-	NOUN
ajst-31199	31	71	net	net	ADJ
ajst-31199	31	72	,	,	PUNCT
ajst-31199	31	73	as	as	ADP
ajst-31199	31	74	a	a	DET
ajst-31199	31	75	typical	typical	ADJ
ajst-31199	31	76	u	u	NOUN
ajst-31199	31	77	-	-	NOUN
ajst-31199	31	78	net	net	ADJ
ajst-31199	31	79	,	,	PUNCT
ajst-31199	31	80	as	as	ADP
ajst-31199	31	81	a	a	DET
ajst-31199	31	82	typical	typical	ADJ
ajst-31199	31	83	semantic	semantic	ADJ
ajst-31199	31	84	segmentation	segmentation	NOUN
ajst-31199	31	85	network	network	NOUN
ajst-31199	31	86	structure	structure	NOUN
ajst-31199	31	87	,	,	PUNCT
ajst-31199	31	88	can	can	AUX
ajst-31199	31	89	achieve	achieve	VERB
ajst-31199	31	90	pixel	pixel	ADJ
ajst-31199	31	91	-	-	PUNCT
ajst-31199	31	92	level	level	NOUN
ajst-31199	31	93	change	change	NOUN
ajst-31199	31	94	region	region	NOUN
ajst-31199	31	95	identification	identification	NOUN
ajst-31199	31	96	,	,	PUNCT
ajst-31199	31	97	and	and	CCONJ
ajst-31199	31	98	its	its	PRON
ajst-31199	31	99	structure	structure	NOUN
ajst-31199	31	100	adopts	adopt	VERB
ajst-31199	31	101	a	a	DET
ajst-31199	31	102	symmetric	symmetric	ADJ
ajst-31199	31	103	encoder	encoder	NOUN
ajst-31199	31	104	-	-	PUNCT
ajst-31199	31	105	decoder	decoder	NOUN
ajst-31199	31	106	architecture	architecture	NOUN
ajst-31199	31	107	,	,	PUNCT
ajst-31199	31	108	which	which	PRON
ajst-31199	31	109	fuses	fuse	VERB
ajst-31199	31	110	the	the	DET
ajst-31199	31	111	low	low	ADJ
ajst-31199	31	112	-	-	PUNCT
ajst-31199	31	113	level	level	NOUN
ajst-31199	31	114	details	detail	NOUN
ajst-31199	31	115	and	and	CCONJ
ajst-31199	31	116	high	high	ADJ
ajst-31199	31	117	-	-	PUNCT
ajst-31199	31	118	level	level	NOUN
ajst-31199	31	119	semantic	semantic	ADJ
ajst-31199	31	120	information	information	NOUN
ajst-31199	31	121	through	through	ADP
ajst-31199	31	122	jump	jump	NOUN
ajst-31199	31	123	connections	connection	NOUN
ajst-31199	31	124	,	,	PUNCT
ajst-31199	31	125	and	and	CCONJ
ajst-31199	31	126	is	be	AUX
ajst-31199	31	127	widely	widely	ADV
ajst-31199	31	128	used	use	VERB
ajst-31199	31	129	in	in	ADP
ajst-31199	31	130	the	the	DET
ajst-31199	31	131	generation	generation	NOUN
ajst-31199	31	132	of	of	ADP
ajst-31199	31	133	binary	binary	ADJ
ajst-31199	31	134	change	change	NOUN
ajst-31199	31	135	maps.resnet	maps.resnet	PROPN
ajst-31199	31	136	introduces	introduce	NOUN
ajst-31199	31	137	the	the	DET
ajst-31199	31	138	residual	residual	ADJ
ajst-31199	31	139	connection	connection	NOUN
ajst-31199	31	140	mechanism	mechanism	NOUN
ajst-31199	31	141	,	,	PUNCT
ajst-31199	31	142	which	which	PRON
ajst-31199	31	143	effectively	effectively	ADV
ajst-31199	31	144	mitigates	mitigate	VERB
ajst-31199	31	145	the	the	DET
ajst-31199	31	146	gradient	gradient	ADJ
ajst-31199	31	147	disappearance	disappearance	NOUN
ajst-31199	31	148	and	and	CCONJ
ajst-31199	31	149	degradation	degradation	NOUN
ajst-31199	31	150	in	in	ADP
ajst-31199	31	151	the	the	DET
ajst-31199	31	152	deeper	deep	ADJ
ajst-31199	31	153	network	network	NOUN
ajst-31199	31	154	,	,	PUNCT
ajst-31199	31	155	and	and	CCONJ
ajst-31199	31	156	enables	enable	VERB
ajst-31199	31	157	the	the	DET
ajst-31199	31	158	model	model	NOUN
ajst-31199	31	159	to	to	PART
ajst-31199	31	160	learn	learn	VERB
ajst-31199	31	161	the	the	DET
ajst-31199	31	162	more	more	ADV
ajst-31199	31	163	complex	complex	ADJ
ajst-31199	31	164	feature	feature	NOUN
ajst-31199	31	165	expressions	expression	NOUN
ajst-31199	31	166	more	more	ADV
ajst-31199	31	167	deeply	deeply	ADV
ajst-31199	31	168	,	,	PUNCT
ajst-31199	31	169	and	and	CCONJ
ajst-31199	31	170	improves	improve	VERB
ajst-31199	31	171	the	the	DET
ajst-31199	31	172	detection	detection	NOUN
ajst-31199	31	173	of	of	ADP
ajst-31199	31	174	changes	change	NOUN
ajst-31199	31	175	in	in	ADP
ajst-31199	31	176	remote	remote	ADJ
ajst-31199	31	177	sensing	sense	VERB
ajst-31199	31	178	imagery	imagery	NOUN
ajst-31199	31	179	.	.	PUNCT
ajst-31199	32	1	3.4	3.4	NUM
ajst-31199	32	2	.	.	PUNCT
ajst-31199	32	3	training	training	NOUN
ajst-31199	32	4	mechanism	mechanism	NOUN
ajst-31199	32	5	and	and	CCONJ
ajst-31199	32	6	optimisation	optimisation	NOUN
ajst-31199	32	7	strategy	strategy	NOUN
ajst-31199	32	8	of	of	ADP
ajst-31199	32	9	deep	deep	ADJ
ajst-31199	32	10	learning	learning	NOUN
ajst-31199	32	11	models	model	NOUN
ajst-31199	32	12	deep	deep	ADJ
ajst-31199	32	13	learning	learning	NOUN
ajst-31199	32	14	model	model	NOUN
ajst-31199	32	15	training	training	NOUN
ajst-31199	32	16	is	be	AUX
ajst-31199	32	17	the	the	DET
ajst-31199	32	18	process	process	NOUN
ajst-31199	32	19	of	of	ADP
ajst-31199	32	20	optimising	optimise	VERB
ajst-31199	32	21	the	the	DET
ajst-31199	32	22	objective	objective	ADJ
ajst-31199	32	23	function	function	NOUN
ajst-31199	32	24	to	to	PART
ajst-31199	32	25	minimise	minimise	VERB
ajst-31199	32	26	the	the	DET
ajst-31199	32	27	prediction	prediction	NOUN
ajst-31199	32	28	error	error	NOUN
ajst-31199	32	29	,	,	PUNCT
ajst-31199	32	30	and	and	CCONJ
ajst-31199	32	31	the	the	DET
ajst-31199	32	32	back	back	ADJ
ajst-31199	32	33	propagation	propagation	NOUN
ajst-31199	32	34	algorithm	algorithm	NOUN
ajst-31199	32	35	combined	combine	VERB
ajst-31199	32	36	with	with	ADP
ajst-31199	32	37	the	the	DET
ajst-31199	32	38	gradient	gradient	ADJ
ajst-31199	32	39	descent	descent	NOUN
ajst-31199	32	40	method	method	NOUN
ajst-31199	32	41	is	be	AUX
ajst-31199	32	42	usually	usually	ADV
ajst-31199	32	43	used	use	VERB
ajst-31199	32	44	to	to	PART
ajst-31199	32	45	update	update	VERB
ajst-31199	32	46	the	the	DET
ajst-31199	32	47	parameters	parameter	NOUN
ajst-31199	32	48	.	.	PUNCT
ajst-31199	33	1	in	in	ADP
ajst-31199	33	2	the	the	DET
ajst-31199	33	3	training	training	NOUN
ajst-31199	33	4	process	process	NOUN
ajst-31199	33	5	,	,	PUNCT
ajst-31199	33	6	the	the	DET
ajst-31199	33	7	design	design	NOUN
ajst-31199	33	8	of	of	ADP
ajst-31199	33	9	the	the	DET
ajst-31199	33	10	loss	loss	NOUN
ajst-31199	33	11	function	function	NOUN
ajst-31199	33	12	is	be	AUX
ajst-31199	33	13	crucial	crucial	ADJ
ajst-31199	33	14	,	,	PUNCT
ajst-31199	33	15	and	and	CCONJ
ajst-31199	33	16	the	the	DET
ajst-31199	33	17	commonly	commonly	ADV
ajst-31199	33	18	used	use	VERB
ajst-31199	33	19	ones	one	NOUN
ajst-31199	33	20	are	be	AUX
ajst-31199	33	21	cross	cross	NOUN
ajst-31199	33	22	entropy	entropy	PROPN
ajst-31199	33	23	loss	loss	PROPN
ajst-31199	33	24	(	(	PUNCT
ajst-31199	33	25	cross	cross	NOUN
ajst-31199	33	26	entropy	entropy	PROPN
ajst-31199	33	27	)	)	PUNCT
ajst-31199	33	28	,	,	PUNCT
ajst-31199	33	29	dice	dice	NOUN
ajst-31199	33	30	loss	loss	NOUN
ajst-31199	33	31	,	,	PUNCT
ajst-31199	33	32	iou	iou	NOUN
ajst-31199	33	33	loss	loss	NOUN
ajst-31199	33	34	,	,	PUNCT
ajst-31199	33	35	etc	etc	X
ajst-31199	33	36	.	.	X
ajst-31199	33	37	,	,	PUNCT
ajst-31199	33	38	which	which	PRON
ajst-31199	33	39	are	be	AUX
ajst-31199	33	40	suitable	suitable	ADJ
ajst-31199	33	41	for	for	ADP
ajst-31199	33	42	tasks	task	NOUN
ajst-31199	33	43	such	such	ADJ
ajst-31199	33	44	as	as	ADP
ajst-31199	33	45	classification	classification	NOUN
ajst-31199	33	46	,	,	PUNCT
ajst-31199	33	47	segmentation	segmentation	NOUN
ajst-31199	33	48	and	and	CCONJ
ajst-31199	33	49	target	target	NOUN
ajst-31199	33	50	detection	detection	NOUN
ajst-31199	33	51	,	,	PUNCT
ajst-31199	33	52	respectively	respectively	ADV
ajst-31199	33	53	.	.	PUNCT
ajst-31199	34	1	in	in	ADP
ajst-31199	34	2	order	order	NOUN
ajst-31199	34	3	to	to	PART
ajst-31199	34	4	improve	improve	VERB
ajst-31199	34	5	the	the	DET
ajst-31199	34	6	training	training	NOUN
ajst-31199	34	7	effect	effect	NOUN
ajst-31199	34	8	and	and	CCONJ
ajst-31199	34	9	convergence	convergence	NOUN
ajst-31199	34	10	speed	speed	NOUN
ajst-31199	34	11	,	,	PUNCT
ajst-31199	34	12	the	the	DET
ajst-31199	34	13	choice	choice	NOUN
ajst-31199	34	14	of	of	ADP
ajst-31199	34	15	optimiser	optimiser	NOUN
ajst-31199	34	16	is	be	AUX
ajst-31199	34	17	also	also	ADV
ajst-31199	34	18	very	very	ADV
ajst-31199	34	19	critical	critical	ADJ
ajst-31199	34	20	,	,	PUNCT
ajst-31199	34	21	such	such	ADJ
ajst-31199	34	22	as	as	ADP
ajst-31199	34	23	sgd	sgd	PROPN
ajst-31199	34	24	,	,	PUNCT
ajst-31199	34	25	adam	adam	NOUN
ajst-31199	34	26	,	,	PUNCT
ajst-31199	34	27	rmsprop	rmsprop	NOUN
ajst-31199	34	28	,	,	PUNCT
ajst-31199	34	29	etc	etc	X
ajst-31199	34	30	.	.	X
ajst-31199	34	31	have	have	VERB
ajst-31199	34	32	their	their	PRON
ajst-31199	34	33	own	own	ADJ
ajst-31199	34	34	advantages	advantage	NOUN
ajst-31199	34	35	and	and	CCONJ
ajst-31199	34	36	disadvantages	disadvantage	NOUN
ajst-31199	34	37	,	,	PUNCT
ajst-31199	34	38	among	among	ADP
ajst-31199	34	39	which	which	PRON
ajst-31199	34	40	adam	adam	PROPN
ajst-31199	34	41	is	be	AUX
ajst-31199	34	42	widely	widely	ADV
ajst-31199	34	43	used	use	VERB
ajst-31199	34	44	in	in	ADP
ajst-31199	34	45	remote	remote	ADJ
ajst-31199	34	46	sensing	sense	VERB
ajst-31199	34	47	image	image	NOUN
ajst-31199	34	48	modelling	modelling	NOUN
ajst-31199	34	49	due	due	ADP
ajst-31199	34	50	to	to	ADP
ajst-31199	34	51	its	its	PRON
ajst-31199	34	52	adaptive	adaptive	ADJ
ajst-31199	34	53	learning	learning	NOUN
ajst-31199	34	54	rate	rate	NOUN
ajst-31199	34	55	mechanism	mechanism	NOUN
ajst-31199	34	56	.	.	PUNCT
ajst-31199	35	1	meanwhile	meanwhile	ADV
ajst-31199	35	2	,	,	PUNCT
ajst-31199	35	3	data	datum	NOUN
ajst-31199	35	4	enhancement	enhancement	NOUN
ajst-31199	35	5	techniques	technique	NOUN
ajst-31199	35	6	(	(	PUNCT
ajst-31199	35	7	e.g.	e.g.	ADV
ajst-31199	35	8	,	,	PUNCT
ajst-31199	35	9	rotation	rotation	NOUN
ajst-31199	35	10	,	,	PUNCT
ajst-31199	35	11	cropping	cropping	NOUN
ajst-31199	35	12	,	,	PUNCT
ajst-31199	35	13	colour	colour	NOUN
ajst-31199	35	14	perturbation	perturbation	NOUN
ajst-31199	35	15	)	)	PUNCT
ajst-31199	35	16	are	be	AUX
ajst-31199	35	17	widely	widely	ADV
ajst-31199	35	18	used	use	VERB
ajst-31199	35	19	to	to	PART
ajst-31199	35	20	expand	expand	VERB
ajst-31199	35	21	the	the	DET
ajst-31199	35	22	training	training	NOUN
ajst-31199	35	23	set	set	VERB
ajst-31199	35	24	and	and	CCONJ
ajst-31199	35	25	improve	improve	VERB
ajst-31199	35	26	the	the	DET
ajst-31199	35	27	generalisation	generalisation	NOUN
ajst-31199	35	28	ability	ability	NOUN
ajst-31199	35	29	of	of	ADP
ajst-31199	35	30	the	the	DET
ajst-31199	35	31	model	model	NOUN
ajst-31199	35	32	.	.	PUNCT
ajst-31199	36	1	regularisation	regularisation	NOUN
ajst-31199	36	2	means	mean	VERB
ajst-31199	36	3	such	such	ADJ
ajst-31199	36	4	as	as	ADP
ajst-31199	36	5	dropout	dropout	NOUN
ajst-31199	36	6	,	,	PUNCT
ajst-31199	36	7	batch	batch	NOUN
ajst-31199	36	8	normalization	normalization	NOUN
ajst-31199	36	9	,	,	PUNCT
ajst-31199	36	10	and	and	CCONJ
ajst-31199	36	11	l2	l2	VERB
ajst-31199	36	12	regular	regular	ADJ
ajst-31199	36	13	terms	term	NOUN
ajst-31199	36	14	are	be	AUX
ajst-31199	36	15	used	use	VERB
ajst-31199	36	16	to	to	PART
ajst-31199	36	17	prevent	prevent	VERB
ajst-31199	36	18	overfitting	overfitting	NOUN
ajst-31199	36	19	and	and	CCONJ
ajst-31199	36	20	enhance	enhance	VERB
ajst-31199	36	21	the	the	DET
ajst-31199	36	22	robustness	robustness	NOUN
ajst-31199	36	23	of	of	ADP
ajst-31199	36	24	the	the	DET
ajst-31199	36	25	model	model	NOUN
ajst-31199	36	26	.	.	PUNCT
ajst-31199	37	1	in	in	ADP
ajst-31199	37	2	addition	addition	NOUN
ajst-31199	37	3	,	,	PUNCT
ajst-31199	37	4	learning	learn	VERB
ajst-31199	37	5	rate	rate	NOUN
ajst-31199	37	6	scheduling	scheduling	NOUN
ajst-31199	37	7	strategies	strategy	NOUN
ajst-31199	37	8	(	(	PUNCT
ajst-31199	37	9	e.g.	e.g.	ADV
ajst-31199	37	10	,	,	PUNCT
ajst-31199	37	11	cosine	cosine	NOUN
ajst-31199	37	12	annealing	annealing	NOUN
ajst-31199	37	13	,	,	PUNCT
ajst-31199	37	14	learning	learn	VERB
ajst-31199	37	15	rate	rate	NOUN
ajst-31199	37	16	decay	decay	NOUN
ajst-31199	37	17	)	)	PUNCT
ajst-31199	37	18	can	can	AUX
ajst-31199	37	19	effectively	effectively	ADV
ajst-31199	37	20	control	control	VERB
ajst-31199	37	21	the	the	DET
ajst-31199	37	22	model	model	NOUN
ajst-31199	37	23	convergence	convergence	NOUN
ajst-31199	37	24	speed	speed	NOUN
ajst-31199	37	25	and	and	CCONJ
ajst-31199	37	26	performance	performance	NOUN
ajst-31199	37	27	fluctuations	fluctuation	NOUN
ajst-31199	37	28	during	during	ADP
ajst-31199	37	29	the	the	DET
ajst-31199	37	30	training	training	NOUN
ajst-31199	37	31	process	process	NOUN
ajst-31199	37	32	.	.	PUNCT
ajst-31199	38	1	in	in	ADP
ajst-31199	38	2	remote	remote	ADJ
ajst-31199	38	3	sensing	sense	VERB
ajst-31199	38	4	change	change	NOUN
ajst-31199	38	5	detection	detection	NOUN
ajst-31199	38	6	applications	application	NOUN
ajst-31199	38	7	,	,	PUNCT
ajst-31199	38	8	due	due	ADP
ajst-31199	38	9	to	to	ADP
ajst-31199	38	10	the	the	DET
ajst-31199	38	11	scarcity	scarcity	NOUN
ajst-31199	38	12	of	of	ADP
ajst-31199	38	13	labelled	label	VERB
ajst-31199	38	14	data	datum	NOUN
ajst-31199	38	15	,	,	PUNCT
ajst-31199	38	16	it	it	PRON
ajst-31199	38	17	is	be	AUX
ajst-31199	38	18	also	also	ADV
ajst-31199	38	19	necessary	necessary	ADJ
ajst-31199	38	20	to	to	PART
ajst-31199	38	21	combine	combine	VERB
ajst-31199	38	22	migration	migration	NOUN
ajst-31199	38	23	learning	learning	NOUN
ajst-31199	38	24	and	and	CCONJ
ajst-31199	38	25	semi	semi	ADJ
ajst-31199	38	26	-	-	ADJ
ajst-31199	38	27	supervised	supervised	ADJ
ajst-31199	38	28	learning	learning	NOUN
ajst-31199	38	29	methods	method	NOUN
ajst-31199	38	30	to	to	PART
ajst-31199	38	31	improve	improve	VERB
ajst-31199	38	32	the	the	DET
ajst-31199	38	33	learning	learning	NOUN
ajst-31199	38	34	ability	ability	NOUN
ajst-31199	38	35	of	of	ADP
ajst-31199	38	36	the	the	DET
ajst-31199	38	37	model	model	NOUN
ajst-31199	38	38	under	under	ADP
ajst-31199	38	39	small	small	ADJ
ajst-31199	38	40	sample	sample	NOUN
ajst-31199	38	41	conditions	condition	NOUN
ajst-31199	38	42	.	.	PUNCT
ajst-31199	39	1	4	4	X
ajst-31199	39	2	.	.	X
ajst-31199	39	3	patterns	pattern	NOUN
ajst-31199	39	4	of	of	ADP
ajst-31199	39	5	deep	deep	ADJ
ajst-31199	39	6	learning	learning	NOUN
ajst-31199	39	7	application	application	NOUN
ajst-31199	39	8	in	in	ADP
ajst-31199	39	9	remote	remote	ADJ
ajst-31199	39	10	sensing	sense	VERB
ajst-31199	39	11	change	change	NOUN
ajst-31199	39	12	detection	detection	NOUN
ajst-31199	39	13	4.1	4.1	NUM
ajst-31199	39	14	.	.	PUNCT
ajst-31199	39	15	image	image	NOUN
ajst-31199	39	16	alignment	alignment	NOUN
ajst-31199	39	17	and	and	CCONJ
ajst-31199	39	18	difference	difference	NOUN
ajst-31199	39	19	feature	feature	NOUN
ajst-31199	39	20	extraction	extraction	NOUN
ajst-31199	39	21	methods	method	NOUN
ajst-31199	39	22	in	in	ADP
ajst-31199	39	23	remote	remote	ADJ
ajst-31199	39	24	sensing	sense	VERB
ajst-31199	39	25	image	image	NOUN
ajst-31199	39	26	change	change	NOUN
ajst-31199	39	27	detection	detection	NOUN
ajst-31199	39	28	,	,	PUNCT
ajst-31199	39	29	image	image	NOUN
ajst-31199	39	30	alignment	alignment	NOUN
ajst-31199	39	31	and	and	CCONJ
ajst-31199	39	32	difference	difference	NOUN
ajst-31199	39	33	feature	feature	NOUN
ajst-31199	39	34	extraction	extraction	NOUN
ajst-31199	39	35	are	be	AUX
ajst-31199	39	36	the	the	DET
ajst-31199	39	37	prerequisite	prerequisite	NOUN
ajst-31199	39	38	and	and	CCONJ
ajst-31199	39	39	foundation	foundation	NOUN
ajst-31199	39	40	for	for	ADP
ajst-31199	39	41	multi	multi	ADJ
ajst-31199	39	42	-	-	ADJ
ajst-31199	39	43	temporal	temporal	ADJ
ajst-31199	39	44	image	image	NOUN
ajst-31199	39	45	analysis	analysis	NOUN
ajst-31199	39	46	.	.	PUNCT
ajst-31199	40	1	image	image	NOUN
ajst-31199	40	2	alignment	alignment	NOUN
ajst-31199	40	3	refers	refer	VERB
ajst-31199	40	4	to	to	ADP
ajst-31199	40	5	the	the	DET
ajst-31199	40	6	process	process	NOUN
ajst-31199	40	7	of	of	ADP
ajst-31199	40	8	aligning	align	VERB
ajst-31199	40	9	remote	remote	ADJ
ajst-31199	40	10	sensing	sensing	NOUN
ajst-31199	40	11	images	image	NOUN
ajst-31199	40	12	acquired	acquire	VERB
ajst-31199	40	13	by	by	ADP
ajst-31199	40	14	different	different	ADJ
ajst-31199	40	15	time	time	NOUN
ajst-31199	40	16	phases	phase	NOUN
ajst-31199	40	17	,	,	PUNCT
ajst-31199	40	18	different	different	ADJ
ajst-31199	40	19	viewpoints	viewpoint	NOUN
ajst-31199	40	20	or	or	CCONJ
ajst-31199	40	21	different	different	ADJ
ajst-31199	40	22	sensors	sensor	NOUN
ajst-31199	40	23	to	to	ADP
ajst-31199	40	24	the	the	DET
ajst-31199	40	25	same	same	ADJ
ajst-31199	40	26	spatial	spatial	ADJ
ajst-31199	40	27	reference	reference	NOUN
ajst-31199	40	28	system	system	NOUN
ajst-31199	40	29	,	,	PUNCT
ajst-31199	40	30	and	and	CCONJ
ajst-31199	40	31	commonly	commonly	ADV
ajst-31199	40	32	used	use	VERB
ajst-31199	40	33	methods	method	NOUN
ajst-31199	40	34	include	include	VERB
ajst-31199	40	35	geometric	geometric	ADJ
ajst-31199	40	36	alignment	alignment	NOUN
ajst-31199	40	37	based	base	VERB
ajst-31199	40	38	on	on	ADP
ajst-31199	40	39	feature	feature	NOUN
ajst-31199	40	40	point	point	NOUN
ajst-31199	40	41	matching	matching	NOUN
ajst-31199	40	42	,	,	PUNCT
ajst-31199	40	43	dense	dense	ADJ
ajst-31199	40	44	alignment	alignment	NOUN
ajst-31199	40	45	based	base	VERB
ajst-31199	40	46	on	on	ADP
ajst-31199	40	47	grey	grey	ADJ
ajst-31199	40	48	scale	scale	NOUN
ajst-31199	40	49	correlation	correlation	NOUN
ajst-31199	40	50	,	,	PUNCT
ajst-31199	40	51	and	and	CCONJ
ajst-31199	40	52	multiscale	multiscale	ADJ
ajst-31199	40	53	alignment	alignment	NOUN
ajst-31199	40	54	techniques	technique	NOUN
ajst-31199	40	55	that	that	PRON
ajst-31199	40	56	integrate	integrate	VERB
ajst-31199	40	57	geographic	geographic	ADJ
ajst-31199	40	58	information	information	NOUN
ajst-31199	40	59	.	.	PUNCT
ajst-31199	41	1	with	with	ADP
ajst-31199	41	2	the	the	DET
ajst-31199	41	3	development	development	NOUN
ajst-31199	41	4	of	of	ADP
ajst-31199	41	5	deep	deep	ADJ
ajst-31199	41	6	learning	learning	NOUN
ajst-31199	41	7	,	,	PUNCT
ajst-31199	41	8	end	end	NOUN
ajst-31199	41	9	-	-	PUNCT
ajst-31199	41	10	to	to	ADP
ajst-31199	41	11	-	-	PUNCT
ajst-31199	41	12	end	end	NOUN
ajst-31199	41	13	image	image	NOUN
ajst-31199	41	14	alignment	alignment	NOUN
ajst-31199	41	15	models	model	NOUN
ajst-31199	41	16	(	(	PUNCT
ajst-31199	41	17	e.g.	e.g.	ADV
ajst-31199	41	18	based	base	VERB
ajst-31199	41	19	on	on	ADP
ajst-31199	41	20	cnn	cnn	PROPN
ajst-31199	41	21	or	or	CCONJ
ajst-31199	41	22	siamese	siamese	ADJ
ajst-31199	41	23	network	network	NOUN
ajst-31199	41	24	)	)	PUNCT
ajst-31199	41	25	can	can	AUX
ajst-31199	41	26	automatically	automatically	ADV
ajst-31199	41	27	extract	extract	VERB
ajst-31199	41	28	spatial	spatial	ADJ
ajst-31199	41	29	features	feature	NOUN
ajst-31199	41	30	and	and	CCONJ
ajst-31199	41	31	complete	complete	ADJ
ajst-31199	41	32	highprecision	highprecision	NOUN
ajst-31199	41	33	alignment	alignment	NOUN
ajst-31199	41	34	,	,	PUNCT
ajst-31199	41	35	providing	provide	VERB
ajst-31199	41	36	favourable	favourable	ADJ
ajst-31199	41	37	conditions	condition	NOUN
ajst-31199	41	38	for	for	ADP
ajst-31199	41	39	subsequent	subsequent	ADJ
ajst-31199	41	40	change	change	NOUN
ajst-31199	41	41	region	region	NOUN
ajst-31199	41	42	extraction	extraction	NOUN
ajst-31199	41	43	.	.	PUNCT
ajst-31199	42	1	in	in	ADP
ajst-31199	42	2	terms	term	NOUN
ajst-31199	42	3	of	of	ADP
ajst-31199	42	4	difference	difference	NOUN
ajst-31199	42	5	42	42	NUM
ajst-31199	42	6	feature	feature	NOUN
ajst-31199	42	7	extraction	extraction	NOUN
ajst-31199	42	8	,	,	PUNCT
ajst-31199	42	9	traditional	traditional	ADJ
ajst-31199	42	10	methods	method	NOUN
ajst-31199	42	11	rely	rely	VERB
ajst-31199	42	12	on	on	ADP
ajst-31199	42	13	image	image	NOUN
ajst-31199	42	14	differencing	differencing	NOUN
ajst-31199	42	15	,	,	PUNCT
ajst-31199	42	16	change	change	VERB
ajst-31199	42	17	vector	vector	NOUN
ajst-31199	42	18	analysis	analysis	NOUN
ajst-31199	42	19	(	(	PUNCT
ajst-31199	42	20	cva	cva	PROPN
ajst-31199	42	21	)	)	PUNCT
ajst-31199	42	22	,	,	PUNCT
ajst-31199	42	23	etc	etc	X
ajst-31199	42	24	.	.	X
ajst-31199	42	25	,	,	PUNCT
ajst-31199	42	26	but	but	CCONJ
ajst-31199	42	27	have	have	VERB
ajst-31199	42	28	limited	limit	VERB
ajst-31199	42	29	ability	ability	NOUN
ajst-31199	42	30	to	to	PART
ajst-31199	42	31	identify	identify	VERB
ajst-31199	42	32	complex	complex	ADJ
ajst-31199	42	33	feature	feature	NOUN
ajst-31199	42	34	changes	change	NOUN
ajst-31199	42	35	.	.	PUNCT
ajst-31199	43	1	4.2	4.2	NUM
ajst-31199	43	2	.	.	PUNCT
ajst-31199	43	3	deep	deep	ADJ
ajst-31199	43	4	learning	learn	VERB
ajst-31199	43	5	architecture	architecture	NOUN
ajst-31199	43	6	for	for	ADP
ajst-31199	43	7	dualtemporal	dualtemporal	ADJ
ajst-31199	43	8	image	image	NOUN
ajst-31199	43	9	analysis	analysis	NOUN
ajst-31199	43	10	the	the	DET
ajst-31199	43	11	task	task	NOUN
ajst-31199	43	12	of	of	ADP
ajst-31199	43	13	detecting	detect	VERB
ajst-31199	43	14	changes	change	NOUN
ajst-31199	43	15	in	in	ADP
ajst-31199	43	16	dual	dual	ADJ
ajst-31199	43	17	-	-	PUNCT
ajst-31199	43	18	time	time	NOUN
ajst-31199	43	19	-	-	PUNCT
ajst-31199	43	20	phase	phase	NOUN
ajst-31199	43	21	remote	remote	ADJ
ajst-31199	43	22	sensing	sensing	NOUN
ajst-31199	43	23	images	image	NOUN
ajst-31199	43	24	is	be	AUX
ajst-31199	43	25	essentially	essentially	ADV
ajst-31199	43	26	an	an	DET
ajst-31199	43	27	automated	automate	VERB
ajst-31199	43	28	identification	identification	NOUN
ajst-31199	43	29	of	of	ADP
ajst-31199	43	30	the	the	DET
ajst-31199	43	31	differences	difference	NOUN
ajst-31199	43	32	between	between	ADP
ajst-31199	43	33	images	image	NOUN
ajst-31199	43	34	of	of	ADP
ajst-31199	43	35	different	different	ADJ
ajst-31199	43	36	periods	period	NOUN
ajst-31199	43	37	in	in	ADP
ajst-31199	43	38	the	the	DET
ajst-31199	43	39	same	same	ADJ
ajst-31199	43	40	region	region	NOUN
ajst-31199	43	41	,	,	PUNCT
ajst-31199	43	42	so	so	CCONJ
ajst-31199	43	43	it	it	PRON
ajst-31199	43	44	is	be	AUX
ajst-31199	43	45	necessary	necessary	ADJ
ajst-31199	43	46	to	to	PART
ajst-31199	43	47	build	build	VERB
ajst-31199	43	48	a	a	DET
ajst-31199	43	49	deep	deep	ADJ
ajst-31199	43	50	learning	learning	NOUN
ajst-31199	43	51	architecture	architecture	NOUN
ajst-31199	43	52	that	that	PRON
ajst-31199	43	53	can	can	AUX
ajst-31199	43	54	handle	handle	VERB
ajst-31199	43	55	image	image	NOUN
ajst-31199	43	56	pairs	pair	NOUN
ajst-31199	43	57	.	.	PUNCT
ajst-31199	44	1	typical	typical	ADJ
ajst-31199	44	2	model	model	NOUN
ajst-31199	44	3	architectures	architecture	NOUN
ajst-31199	44	4	include	include	VERB
ajst-31199	44	5	siamese	siamese	ADJ
ajst-31199	44	6	network	network	NOUN
ajst-31199	44	7	based	base	VERB
ajst-31199	44	8	on	on	ADP
ajst-31199	44	9	shared	share	VERB
ajst-31199	44	10	weights	weight	NOUN
ajst-31199	44	11	,	,	PUNCT
ajst-31199	44	12	difference	difference	NOUN
ajst-31199	44	13	network	network	NOUN
ajst-31199	44	14	,	,	PUNCT
ajst-31199	44	15	fusion	fusion	NOUN
ajst-31199	44	16	encoder	encoder	NOUN
ajst-31199	44	17	-	-	PUNCT
ajst-31199	44	18	decoder	decoder	NOUN
ajst-31199	44	19	structure	structure	NOUN
ajst-31199	44	20	(	(	PUNCT
ajst-31199	44	21	e.g.	e.g.	ADV
ajst-31199	44	22	,	,	PUNCT
ajst-31199	44	23	improved	improve	VERB
ajst-31199	44	24	u	u	NOUN
ajst-31199	44	25	-	-	NOUN
ajst-31199	44	26	net	net	ADJ
ajst-31199	44	27	)	)	PUNCT
ajst-31199	44	28	,	,	PUNCT
ajst-31199	44	29	and	and	CCONJ
ajst-31199	44	30	temporal	temporal	ADJ
ajst-31199	44	31	graph	graph	NOUN
ajst-31199	44	32	neural	neural	ADJ
ajst-31199	44	33	network	network	NOUN
ajst-31199	44	34	(	(	PUNCT
ajst-31199	44	35	st	st	NOUN
ajst-31199	44	36	-	-	PUNCT
ajst-31199	44	37	gcn	gcn	NOUN
ajst-31199	44	38	)	)	PUNCT
ajst-31199	44	39	.	.	PUNCT
ajst-31199	45	1	among	among	ADP
ajst-31199	45	2	them	they	PRON
ajst-31199	45	3	,	,	PUNCT
ajst-31199	45	4	siamese	siamese	ADJ
ajst-31199	45	5	network	network	NOUN
ajst-31199	45	6	inputs	input	VERB
ajst-31199	45	7	two	two	NUM
ajst-31199	45	8	temporal	temporal	ADJ
ajst-31199	45	9	images	image	NOUN
ajst-31199	45	10	through	through	ADP
ajst-31199	45	11	two	two	NUM
ajst-31199	45	12	branches	branch	NOUN
ajst-31199	45	13	at	at	ADP
ajst-31199	45	14	the	the	DET
ajst-31199	45	15	same	same	ADJ
ajst-31199	45	16	time	time	NOUN
ajst-31199	45	17	,	,	PUNCT
ajst-31199	45	18	extracts	extract	VERB
ajst-31199	45	19	high	high	ADJ
ajst-31199	45	20	-	-	PUNCT
ajst-31199	45	21	level	level	NOUN
ajst-31199	45	22	semantic	semantic	ADJ
ajst-31199	45	23	features	feature	NOUN
ajst-31199	45	24	and	and	CCONJ
ajst-31199	45	25	determines	determine	VERB
ajst-31199	45	26	the	the	DET
ajst-31199	45	27	change	change	NOUN
ajst-31199	45	28	region	region	NOUN
ajst-31199	45	29	through	through	ADP
ajst-31199	45	30	feature	feature	NOUN
ajst-31199	45	31	difference	difference	NOUN
ajst-31199	45	32	calculation	calculation	NOUN
ajst-31199	45	33	,	,	PUNCT
ajst-31199	45	34	which	which	PRON
ajst-31199	45	35	can	can	AUX
ajst-31199	45	36	make	make	VERB
ajst-31199	45	37	full	full	ADJ
ajst-31199	45	38	use	use	NOUN
ajst-31199	45	39	of	of	ADP
ajst-31199	45	40	temporal	temporal	ADJ
ajst-31199	45	41	consistency	consistency	NOUN
ajst-31199	45	42	and	and	CCONJ
ajst-31199	45	43	improve	improve	VERB
ajst-31199	45	44	the	the	DET
ajst-31199	45	45	model	model	NOUN
ajst-31199	45	46	's	's	PART
ajst-31199	45	47	ability	ability	NOUN
ajst-31199	45	48	to	to	PART
ajst-31199	45	49	perceive	perceive	VERB
ajst-31199	45	50	subtle	subtle	ADJ
ajst-31199	45	51	changes	change	NOUN
ajst-31199	45	52	.	.	PUNCT
ajst-31199	46	1	the	the	DET
ajst-31199	46	2	fused	fuse	VERB
ajst-31199	46	3	architecture	architecture	NOUN
ajst-31199	46	4	combines	combine	VERB
ajst-31199	46	5	the	the	DET
ajst-31199	46	6	two	two	NUM
ajst-31199	46	7	input	input	NOUN
ajst-31199	46	8	images	image	NOUN
ajst-31199	46	9	and	and	CCONJ
ajst-31199	46	10	constructs	construct	VERB
ajst-31199	46	11	the	the	DET
ajst-31199	46	12	change	change	NOUN
ajst-31199	46	13	map	map	NOUN
ajst-31199	46	14	through	through	ADP
ajst-31199	46	15	the	the	DET
ajst-31199	46	16	multi	multi	ADJ
ajst-31199	46	17	-	-	ADJ
ajst-31199	46	18	scale	scale	ADJ
ajst-31199	46	19	feature	feature	NOUN
ajst-31199	46	20	extraction	extraction	NOUN
ajst-31199	46	21	module	module	NOUN
ajst-31199	46	22	and	and	CCONJ
ajst-31199	46	23	the	the	DET
ajst-31199	46	24	up	up	ADV
ajst-31199	46	25	-	-	PUNCT
ajst-31199	46	26	sampling	sample	VERB
ajst-31199	46	27	decoding	decoding	NOUN
ajst-31199	46	28	module	module	NOUN
ajst-31199	46	29	,	,	PUNCT
ajst-31199	46	30	thus	thus	ADV
ajst-31199	46	31	achieving	achieve	VERB
ajst-31199	46	32	end	end	NOUN
ajst-31199	46	33	-	-	PUNCT
ajst-31199	46	34	toend	toend	NOUN
ajst-31199	46	35	training	training	NOUN
ajst-31199	46	36	and	and	CCONJ
ajst-31199	46	37	pixel	pixel	ADJ
ajst-31199	46	38	-	-	PUNCT
ajst-31199	46	39	level	level	NOUN
ajst-31199	46	40	segmentation	segmentation	NOUN
ajst-31199	46	41	results	result	NOUN
ajst-31199	46	42	.	.	PUNCT
ajst-31199	47	1	4.3	4.3	NUM
ajst-31199	47	2	.	.	PUNCT
ajst-31199	48	1	pixeland	pixeland	NOUN
ajst-31199	48	2	object	object	NOUN
ajst-31199	48	3	-	-	PUNCT
ajst-31199	48	4	oriented	orient	VERB
ajst-31199	48	5	detection	detection	NOUN
ajst-31199	48	6	model	model	NOUN
ajst-31199	48	7	analysis	analysis	NOUN
ajst-31199	48	8	in	in	ADP
ajst-31199	48	9	remote	remote	ADJ
ajst-31199	48	10	sensing	sense	VERB
ajst-31199	48	11	image	image	NOUN
ajst-31199	48	12	change	change	NOUN
ajst-31199	48	13	detection	detection	NOUN
ajst-31199	48	14	,	,	PUNCT
ajst-31199	48	15	pixel	pixel	ADJ
ajst-31199	48	16	-	-	PUNCT
ajst-31199	48	17	oriented	orient	VERB
ajst-31199	48	18	and	and	CCONJ
ajst-31199	48	19	object	object	NOUN
ajst-31199	48	20	-	-	PUNCT
ajst-31199	48	21	oriented	orient	VERB
ajst-31199	48	22	detection	detection	NOUN
ajst-31199	48	23	models	model	NOUN
ajst-31199	48	24	are	be	AUX
ajst-31199	48	25	two	two	NUM
ajst-31199	48	26	major	major	ADJ
ajst-31199	48	27	analysis	analysis	NOUN
ajst-31199	48	28	methods	method	NOUN
ajst-31199	48	29	,	,	PUNCT
ajst-31199	48	30	each	each	PRON
ajst-31199	48	31	with	with	ADP
ajst-31199	48	32	its	its	PRON
ajst-31199	48	33	own	own	ADJ
ajst-31199	48	34	advantages	advantage	NOUN
ajst-31199	48	35	and	and	CCONJ
ajst-31199	48	36	applicable	applicable	ADJ
ajst-31199	48	37	scenarios	scenario	NOUN
ajst-31199	48	38	.	.	PUNCT
ajst-31199	49	1	pixel	pixel	ADJ
ajst-31199	49	2	-	-	PUNCT
ajst-31199	49	3	oriented	orient	VERB
ajst-31199	49	4	methods	method	NOUN
ajst-31199	49	5	generate	generate	VERB
ajst-31199	49	6	change	change	NOUN
ajst-31199	49	7	probability	probability	NOUN
ajst-31199	49	8	maps	map	NOUN
ajst-31199	49	9	or	or	CCONJ
ajst-31199	49	10	binary	binary	NOUN
ajst-31199	49	11	change	change	NOUN
ajst-31199	49	12	maps	map	NOUN
ajst-31199	49	13	by	by	ADP
ajst-31199	49	14	estimating	estimate	VERB
ajst-31199	49	15	the	the	DET
ajst-31199	49	16	change	change	NOUN
ajst-31199	49	17	probability	probability	NOUN
ajst-31199	49	18	of	of	ADP
ajst-31199	49	19	each	each	DET
ajst-31199	49	20	pixel	pixel	NOUN
ajst-31199	49	21	in	in	ADP
ajst-31199	49	22	the	the	DET
ajst-31199	49	23	image	image	NOUN
ajst-31199	49	24	,	,	PUNCT
ajst-31199	49	25	which	which	PRON
ajst-31199	49	26	is	be	AUX
ajst-31199	49	27	characterised	characterise	VERB
ajst-31199	49	28	by	by	ADP
ajst-31199	49	29	high	high	ADJ
ajst-31199	49	30	computational	computational	ADJ
ajst-31199	49	31	accuracy	accuracy	NOUN
ajst-31199	49	32	and	and	CCONJ
ajst-31199	49	33	detailed	detailed	ADJ
ajst-31199	49	34	spatial	spatial	ADJ
ajst-31199	49	35	resolution	resolution	NOUN
ajst-31199	49	36	.	.	PUNCT
ajst-31199	50	1	deep	deep	ADJ
ajst-31199	50	2	learning	learning	NOUN
ajst-31199	50	3	models	model	NOUN
ajst-31199	50	4	such	such	ADJ
ajst-31199	50	5	as	as	ADP
ajst-31199	50	6	fcn	fcn	NOUN
ajst-31199	50	7	and	and	CCONJ
ajst-31199	50	8	unet	unet	NOUN
ajst-31199	50	9	have	have	VERB
ajst-31199	50	10	superior	superior	ADJ
ajst-31199	50	11	performance	performance	NOUN
ajst-31199	50	12	in	in	ADP
ajst-31199	50	13	pixel	pixel	ADJ
ajst-31199	50	14	-	-	PUNCT
ajst-31199	50	15	level	level	NOUN
ajst-31199	50	16	segmentation	segmentation	NOUN
ajst-31199	50	17	,	,	PUNCT
ajst-31199	50	18	and	and	CCONJ
ajst-31199	50	19	are	be	AUX
ajst-31199	50	20	able	able	ADJ
ajst-31199	50	21	to	to	PART
ajst-31199	50	22	obtain	obtain	VERB
ajst-31199	50	23	rich	rich	ADJ
ajst-31199	50	24	spatial	spatial	ADJ
ajst-31199	50	25	and	and	CCONJ
ajst-31199	50	26	semantic	semantic	ADJ
ajst-31199	50	27	information	information	NOUN
ajst-31199	50	28	through	through	ADP
ajst-31199	50	29	mechanisms	mechanism	NOUN
ajst-31199	50	30	such	such	ADJ
ajst-31199	50	31	as	as	ADP
ajst-31199	50	32	multi	multi	ADJ
ajst-31199	50	33	-	-	ADJ
ajst-31199	50	34	scale	scale	ADJ
ajst-31199	50	35	context	context	NOUN
ajst-31199	50	36	fusion	fusion	NOUN
ajst-31199	50	37	and	and	CCONJ
ajst-31199	50	38	jump	jump	NOUN
ajst-31199	50	39	connections	connection	NOUN
ajst-31199	50	40	,	,	PUNCT
ajst-31199	50	41	and	and	CCONJ
ajst-31199	50	42	achieve	achieve	VERB
ajst-31199	50	43	refined	refined	ADJ
ajst-31199	50	44	change	change	NOUN
ajst-31199	50	45	boundary	boundary	ADJ
ajst-31199	50	46	inscription	inscription	NOUN
ajst-31199	50	47	.	.	PUNCT
ajst-31199	51	1	however	however	ADV
ajst-31199	51	2	,	,	PUNCT
ajst-31199	51	3	pixel	pixel	ADJ
ajst-31199	51	4	-	-	PUNCT
ajst-31199	51	5	oriented	orient	VERB
ajst-31199	51	6	methods	method	NOUN
ajst-31199	51	7	are	be	AUX
ajst-31199	51	8	more	more	ADV
ajst-31199	51	9	sensitive	sensitive	ADJ
ajst-31199	51	10	to	to	AUX
ajst-31199	51	11	noise	noise	NOUN
ajst-31199	51	12	and	and	CCONJ
ajst-31199	51	13	local	local	ADJ
ajst-31199	51	14	inconsistencies	inconsistency	NOUN
ajst-31199	51	15	,	,	PUNCT
ajst-31199	51	16	which	which	PRON
ajst-31199	51	17	may	may	AUX
ajst-31199	51	18	lead	lead	VERB
ajst-31199	51	19	to	to	ADP
ajst-31199	51	20	‘	'	PUNCT
ajst-31199	51	21	pretzel	pretzel	ADJ
ajst-31199	51	22	noise	noise	NOUN
ajst-31199	51	23	’	'	PUNCT
ajst-31199	51	24	errors	error	NOUN
ajst-31199	51	25	.	.	PUNCT
ajst-31199	52	1	in	in	ADP
ajst-31199	52	2	contrast	contrast	NOUN
ajst-31199	52	3	,	,	PUNCT
ajst-31199	52	4	object	object	NOUN
ajst-31199	52	5	-	-	PUNCT
ajst-31199	52	6	oriented	orient	VERB
ajst-31199	52	7	methods	method	NOUN
ajst-31199	52	8	form	form	VERB
ajst-31199	52	9	a	a	DET
ajst-31199	52	10	number	number	NOUN
ajst-31199	52	11	of	of	ADP
ajst-31199	52	12	object	object	NOUN
ajst-31199	52	13	units	unit	NOUN
ajst-31199	52	14	with	with	ADP
ajst-31199	52	15	semantic	semantic	ADJ
ajst-31199	52	16	information	information	NOUN
ajst-31199	52	17	through	through	ADP
ajst-31199	52	18	image	image	NOUN
ajst-31199	52	19	segmentation	segmentation	NOUN
ajst-31199	52	20	or	or	CCONJ
ajst-31199	52	21	clustering	clustering	NOUN
ajst-31199	52	22	,	,	PUNCT
ajst-31199	52	23	and	and	CCONJ
ajst-31199	52	24	then	then	ADV
ajst-31199	52	25	identify	identify	VERB
ajst-31199	52	26	and	and	CCONJ
ajst-31199	52	27	classify	classify	VERB
ajst-31199	52	28	changes	change	NOUN
ajst-31199	52	29	at	at	ADP
ajst-31199	52	30	the	the	DET
ajst-31199	52	31	object	object	NOUN
ajst-31199	52	32	level	level	NOUN
ajst-31199	52	33	,	,	PUNCT
ajst-31199	52	34	which	which	PRON
ajst-31199	52	35	is	be	AUX
ajst-31199	52	36	suitable	suitable	ADJ
ajst-31199	52	37	for	for	ADP
ajst-31199	52	38	high	high	ADJ
ajst-31199	52	39	-	-	PUNCT
ajst-31199	52	40	resolution	resolution	NOUN
ajst-31199	52	41	remote	remote	ADJ
ajst-31199	52	42	sensing	sensing	NOUN
ajst-31199	52	43	images	image	NOUN
ajst-31199	52	44	and	and	CCONJ
ajst-31199	52	45	complex	complex	ADJ
ajst-31199	52	46	surface	surface	NOUN
ajst-31199	52	47	structures	structure	NOUN
ajst-31199	52	48	.	.	PUNCT
ajst-31199	53	1	4.4	4.4	NUM
ajst-31199	53	2	.	.	PUNCT
ajst-31199	54	1	research	research	NOUN
ajst-31199	54	2	on	on	ADP
ajst-31199	54	3	fusion	fusion	NOUN
ajst-31199	54	4	of	of	ADP
ajst-31199	54	5	multi	multi	ADJ
ajst-31199	54	6	-	-	ADJ
ajst-31199	54	7	source	source	NOUN
ajst-31199	54	8	remote	remote	ADJ
ajst-31199	54	9	sensing	sense	VERB
ajst-31199	54	10	data	datum	NOUN
ajst-31199	54	11	and	and	CCONJ
ajst-31199	54	12	deep	deep	ADJ
ajst-31199	54	13	model	model	NOUN
ajst-31199	54	14	adaptation	adaptation	NOUN
ajst-31199	54	15	with	with	ADP
ajst-31199	54	16	the	the	DET
ajst-31199	54	17	development	development	NOUN
ajst-31199	54	18	of	of	ADP
ajst-31199	54	19	remote	remote	ADJ
ajst-31199	54	20	sensing	sense	VERB
ajst-31199	54	21	technology	technology	NOUN
ajst-31199	54	22	,	,	PUNCT
ajst-31199	54	23	the	the	DET
ajst-31199	54	24	types	type	NOUN
ajst-31199	54	25	of	of	ADP
ajst-31199	54	26	data	datum	NOUN
ajst-31199	54	27	acquired	acquire	VERB
ajst-31199	54	28	show	show	VERB
ajst-31199	54	29	a	a	DET
ajst-31199	54	30	trend	trend	NOUN
ajst-31199	54	31	of	of	ADP
ajst-31199	54	32	multi	multi	ADJ
ajst-31199	54	33	-	-	NOUN
ajst-31199	54	34	source	source	NOUN
ajst-31199	54	35	,	,	PUNCT
ajst-31199	54	36	including	include	VERB
ajst-31199	54	37	optical	optical	ADJ
ajst-31199	54	38	images	image	NOUN
ajst-31199	54	39	,	,	PUNCT
ajst-31199	54	40	synthetic	synthetic	ADJ
ajst-31199	54	41	aperture	aperture	NOUN
ajst-31199	54	42	radar	radar	NOUN
ajst-31199	54	43	(	(	PUNCT
ajst-31199	54	44	sar	sar	PROPN
ajst-31199	54	45	)	)	PUNCT
ajst-31199	54	46	,	,	PUNCT
ajst-31199	54	47	lidar	lidar	NOUN
ajst-31199	54	48	,	,	PUNCT
ajst-31199	54	49	and	and	CCONJ
ajst-31199	54	50	multi	multi	ADJ
ajst-31199	54	51	-	-	ADJ
ajst-31199	54	52	spectral	spectral	ADJ
ajst-31199	54	53	and	and	CCONJ
ajst-31199	54	54	hyperspectral	hyperspectral	ADJ
ajst-31199	54	55	images	image	NOUN
ajst-31199	54	56	.	.	PUNCT
ajst-31199	55	1	these	these	DET
ajst-31199	55	2	data	datum	NOUN
ajst-31199	55	3	have	have	VERB
ajst-31199	55	4	significant	significant	ADJ
ajst-31199	55	5	differences	difference	NOUN
ajst-31199	55	6	in	in	ADP
ajst-31199	55	7	spatial	spatial	ADJ
ajst-31199	55	8	resolution	resolution	NOUN
ajst-31199	55	9	,	,	PUNCT
ajst-31199	55	10	spectral	spectral	ADJ
ajst-31199	55	11	characteristics	characteristic	NOUN
ajst-31199	55	12	,	,	PUNCT
ajst-31199	55	13	observation	observation	NOUN
ajst-31199	55	14	methods	method	NOUN
ajst-31199	55	15	,	,	PUNCT
ajst-31199	55	16	etc	etc	X
ajst-31199	55	17	.	.	X
ajst-31199	55	18	how	how	SCONJ
ajst-31199	55	19	to	to	PART
ajst-31199	55	20	fuse	fuse	VERB
ajst-31199	55	21	the	the	DET
ajst-31199	55	22	multi	multi	ADJ
ajst-31199	55	23	-	-	ADJ
ajst-31199	55	24	source	source	NOUN
ajst-31199	55	25	information	information	NOUN
ajst-31199	55	26	and	and	CCONJ
ajst-31199	55	27	adapt	adapt	VERB
ajst-31199	55	28	the	the	DET
ajst-31199	55	29	deep	deep	ADJ
ajst-31199	55	30	learning	learning	NOUN
ajst-31199	55	31	model	model	NOUN
ajst-31199	55	32	has	have	AUX
ajst-31199	55	33	become	become	VERB
ajst-31199	55	34	a	a	DET
ajst-31199	55	35	key	key	ADJ
ajst-31199	55	36	issue	issue	NOUN
ajst-31199	55	37	in	in	ADP
ajst-31199	55	38	change	change	NOUN
ajst-31199	55	39	detection	detection	NOUN
ajst-31199	55	40	.	.	PUNCT
ajst-31199	56	1	multi	multi	ADJ
ajst-31199	56	2	-	-	ADJ
ajst-31199	56	3	source	source	NOUN
ajst-31199	56	4	data	data	NOUN
ajst-31199	56	5	fusion	fusion	NOUN
ajst-31199	56	6	mainly	mainly	ADV
ajst-31199	56	7	includes	include	VERB
ajst-31199	56	8	data	datum	NOUN
ajst-31199	56	9	-	-	PUNCT
ajst-31199	56	10	level	level	NOUN
ajst-31199	56	11	fusion	fusion	NOUN
ajst-31199	56	12	,	,	PUNCT
ajst-31199	56	13	feature	feature	NOUN
ajst-31199	56	14	-	-	PUNCT
ajst-31199	56	15	level	level	NOUN
ajst-31199	56	16	fusion	fusion	NOUN
ajst-31199	56	17	and	and	CCONJ
ajst-31199	56	18	decision	decision	NOUN
ajst-31199	56	19	-	-	PUNCT
ajst-31199	56	20	level	level	NOUN
ajst-31199	56	21	fusion	fusion	NOUN
ajst-31199	56	22	,	,	PUNCT
ajst-31199	56	23	among	among	ADP
ajst-31199	56	24	which	which	PRON
ajst-31199	56	25	feature	feature	NOUN
ajst-31199	56	26	-	-	PUNCT
ajst-31199	56	27	level	level	NOUN
ajst-31199	56	28	fusion	fusion	NOUN
ajst-31199	56	29	is	be	AUX
ajst-31199	56	30	the	the	DET
ajst-31199	56	31	most	most	ADV
ajst-31199	56	32	widely	widely	ADV
ajst-31199	56	33	used	use	VERB
ajst-31199	56	34	in	in	ADP
ajst-31199	56	35	deep	deep	ADJ
ajst-31199	56	36	learning	learning	NOUN
ajst-31199	56	37	frameworks	framework	NOUN
ajst-31199	56	38	,	,	PUNCT
ajst-31199	56	39	and	and	CCONJ
ajst-31199	56	40	cross	cross	ADJ
ajst-31199	56	41	-	-	ADJ
ajst-31199	56	42	modal	modal	ADJ
ajst-31199	56	43	information	information	NOUN
ajst-31199	56	44	integration	integration	NOUN
ajst-31199	56	45	is	be	AUX
ajst-31199	56	46	achieved	achieve	VERB
ajst-31199	56	47	by	by	ADP
ajst-31199	56	48	inputting	inputte	VERB
ajst-31199	56	49	different	different	ADJ
ajst-31199	56	50	source	source	NOUN
ajst-31199	56	51	data	datum	NOUN
ajst-31199	56	52	into	into	ADP
ajst-31199	56	53	multiple	multiple	ADJ
ajst-31199	56	54	sub	sub	NOUN
ajst-31199	56	55	-	-	NOUN
ajst-31199	56	56	networks	network	NOUN
ajst-31199	56	57	to	to	PART
ajst-31199	56	58	extract	extract	VERB
ajst-31199	56	59	features	feature	NOUN
ajst-31199	56	60	and	and	CCONJ
ajst-31199	56	61	then	then	ADV
ajst-31199	56	62	fusing	fuse	VERB
ajst-31199	56	63	them	they	PRON
ajst-31199	56	64	(	(	PUNCT
ajst-31199	56	65	e.g.	e.g.	ADV
ajst-31199	56	66	,	,	PUNCT
ajst-31199	56	67	channel	channel	NOUN
ajst-31199	56	68	splicing	splicing	NOUN
ajst-31199	56	69	,	,	PUNCT
ajst-31199	56	70	attentional	attentional	ADJ
ajst-31199	56	71	weighting	weighting	NOUN
ajst-31199	56	72	,	,	PUNCT
ajst-31199	56	73	feature	feature	NOUN
ajst-31199	56	74	alignment	alignment	NOUN
ajst-31199	56	75	,	,	PUNCT
ajst-31199	56	76	etc	etc	X
ajst-31199	56	77	.	.	X
ajst-31199	56	78	)	)	PUNCT
ajst-31199	56	79	.	.	PUNCT
ajst-31199	57	1	in	in	ADP
ajst-31199	57	2	the	the	DET
ajst-31199	57	3	face	face	NOUN
ajst-31199	57	4	of	of	ADP
ajst-31199	57	5	significantly	significantly	ADV
ajst-31199	57	6	different	different	ADJ
ajst-31199	57	7	data	datum	NOUN
ajst-31199	57	8	sources	source	NOUN
ajst-31199	57	9	,	,	PUNCT
ajst-31199	57	10	such	such	ADJ
ajst-31199	57	11	as	as	ADP
ajst-31199	57	12	sar	sar	NOUN
ajst-31199	57	13	and	and	CCONJ
ajst-31199	57	14	optical	optical	ADJ
ajst-31199	57	15	images	image	NOUN
ajst-31199	57	16	,	,	PUNCT
ajst-31199	57	17	the	the	DET
ajst-31199	57	18	researchers	researcher	NOUN
ajst-31199	57	19	constructed	construct	VERB
ajst-31199	57	20	a	a	DET
ajst-31199	57	21	multimodal	multimodal	ADJ
ajst-31199	57	22	neural	neural	ADJ
ajst-31199	57	23	network	network	NOUN
ajst-31199	57	24	,	,	PUNCT
ajst-31199	57	25	graph	graph	VERB
ajst-31199	57	26	convolutional	convolutional	ADJ
ajst-31199	57	27	network	network	NOUN
ajst-31199	57	28	(	(	PUNCT
ajst-31199	57	29	gcn	gcn	NOUN
ajst-31199	57	30	)	)	PUNCT
ajst-31199	57	31	,	,	PUNCT
ajst-31199	57	32	and	and	CCONJ
ajst-31199	57	33	transformer	transformer	NOUN
ajst-31199	57	34	fusion	fusion	NOUN
ajst-31199	57	35	architecture	architecture	NOUN
ajst-31199	57	36	to	to	PART
ajst-31199	57	37	improve	improve	VERB
ajst-31199	57	38	the	the	DET
ajst-31199	57	39	model	model	NOUN
ajst-31199	57	40	adaptability	adaptability	NOUN
ajst-31199	57	41	and	and	CCONJ
ajst-31199	57	42	discriminative	discriminative	NOUN
ajst-31199	57	43	ability	ability	NOUN
ajst-31199	57	44	.	.	PUNCT
ajst-31199	58	1	in	in	ADP
ajst-31199	58	2	addition	addition	NOUN
ajst-31199	58	3	,	,	PUNCT
ajst-31199	58	4	in	in	ADP
ajst-31199	58	5	order	order	NOUN
ajst-31199	58	6	to	to	PART
ajst-31199	58	7	enhance	enhance	VERB
ajst-31199	58	8	the	the	DET
ajst-31199	58	9	robustness	robustness	NOUN
ajst-31199	58	10	of	of	ADP
ajst-31199	58	11	the	the	DET
ajst-31199	58	12	model	model	NOUN
ajst-31199	58	13	to	to	ADP
ajst-31199	58	14	different	different	ADJ
ajst-31199	58	15	source	source	NOUN
ajst-31199	58	16	data	datum	NOUN
ajst-31199	58	17	,	,	PUNCT
ajst-31199	58	18	techniques	technique	NOUN
ajst-31199	58	19	such	such	ADJ
ajst-31199	58	20	as	as	ADP
ajst-31199	58	21	data	datum	NOUN
ajst-31199	58	22	normalisation	normalisation	NOUN
ajst-31199	58	23	,	,	PUNCT
ajst-31199	58	24	domain	domain	NOUN
ajst-31199	58	25	adaptive	adaptive	ADJ
ajst-31199	58	26	training	training	NOUN
ajst-31199	58	27	and	and	CCONJ
ajst-31199	58	28	migration	migration	NOUN
ajst-31199	58	29	learning	learning	NOUN
ajst-31199	58	30	are	be	AUX
ajst-31199	58	31	often	often	ADV
ajst-31199	58	32	adopted	adopt	VERB
ajst-31199	58	33	to	to	PART
ajst-31199	58	34	maintain	maintain	VERB
ajst-31199	58	35	stable	stable	ADJ
ajst-31199	58	36	performance	performance	NOUN
ajst-31199	58	37	of	of	ADP
ajst-31199	58	38	the	the	DET
ajst-31199	58	39	model	model	NOUN
ajst-31199	58	40	when	when	SCONJ
ajst-31199	58	41	dealing	deal	VERB
ajst-31199	58	42	with	with	ADP
ajst-31199	58	43	data	datum	NOUN
ajst-31199	58	44	heterogeneity	heterogeneity	NOUN
ajst-31199	58	45	.	.	PUNCT
ajst-31199	59	1	5	5	X
ajst-31199	59	2	.	.	X
ajst-31199	59	3	conclusion	conclusion	NOUN
ajst-31199	59	4	this	this	DET
ajst-31199	59	5	paper	paper	NOUN
ajst-31199	59	6	focuses	focus	VERB
ajst-31199	59	7	on	on	ADP
ajst-31199	59	8	the	the	DET
ajst-31199	59	9	change	change	NOUN
ajst-31199	59	10	detection	detection	NOUN
ajst-31199	59	11	problem	problem	NOUN
ajst-31199	59	12	of	of	ADP
ajst-31199	59	13	high	high	ADJ
ajst-31199	59	14	-	-	PUNCT
ajst-31199	59	15	resolution	resolution	NOUN
ajst-31199	59	16	remote	remote	ADJ
ajst-31199	59	17	sensing	sensing	NOUN
ajst-31199	59	18	images	image	NOUN
ajst-31199	59	19	,	,	PUNCT
ajst-31199	59	20	and	and	CCONJ
ajst-31199	59	21	discusses	discuss	VERB
ajst-31199	59	22	the	the	DET
ajst-31199	59	23	theoretical	theoretical	ADJ
ajst-31199	59	24	mechanism	mechanism	NOUN
ajst-31199	59	25	and	and	CCONJ
ajst-31199	59	26	practical	practical	ADJ
ajst-31199	59	27	path	path	NOUN
ajst-31199	59	28	of	of	ADP
ajst-31199	59	29	the	the	DET
ajst-31199	59	30	deep	deep	ADJ
ajst-31199	59	31	learning	learning	NOUN
ajst-31199	59	32	method	method	NOUN
ajst-31199	59	33	in	in	ADP
ajst-31199	59	34	depth	depth	NOUN
ajst-31199	59	35	.	.	PUNCT
ajst-31199	60	1	it	it	PRON
ajst-31199	60	2	is	be	AUX
ajst-31199	60	3	found	find	VERB
ajst-31199	60	4	that	that	SCONJ
ajst-31199	60	5	the	the	DET
ajst-31199	60	6	deep	deep	ADJ
ajst-31199	60	7	neural	neural	ADJ
ajst-31199	60	8	network	network	NOUN
ajst-31199	60	9	can	can	AUX
ajst-31199	60	10	effectively	effectively	ADV
ajst-31199	60	11	mine	mine	VERB
ajst-31199	60	12	the	the	DET
ajst-31199	60	13	spatio	spatio	PROPN
ajst-31199	60	14	-	-	PUNCT
ajst-31199	60	15	temporal	temporal	ADJ
ajst-31199	60	16	features	feature	NOUN
ajst-31199	60	17	in	in	ADP
ajst-31199	60	18	the	the	DET
ajst-31199	60	19	image	image	NOUN
ajst-31199	60	20	to	to	PART
ajst-31199	60	21	improve	improve	VERB
ajst-31199	60	22	the	the	DET
ajst-31199	60	23	accuracy	accuracy	NOUN
ajst-31199	60	24	and	and	CCONJ
ajst-31199	60	25	efficiency	efficiency	NOUN
ajst-31199	60	26	of	of	ADP
ajst-31199	60	27	change	change	NOUN
ajst-31199	60	28	identification	identification	NOUN
ajst-31199	60	29	.	.	PUNCT
ajst-31199	61	1	multi	multi	ADJ
ajst-31199	61	2	-	-	ADJ
ajst-31199	61	3	source	source	NOUN
ajst-31199	61	4	data	datum	NOUN
ajst-31199	61	5	fusion	fusion	NOUN
ajst-31199	61	6	and	and	CCONJ
ajst-31199	61	7	structure	structure	NOUN
ajst-31199	61	8	optimisation	optimisation	NOUN
ajst-31199	61	9	further	far	ADV
ajst-31199	61	10	enhance	enhance	VERB
ajst-31199	61	11	the	the	DET
ajst-31199	61	12	robustness	robustness	NOUN
ajst-31199	61	13	and	and	CCONJ
ajst-31199	61	14	generalisation	generalisation	NOUN
ajst-31199	61	15	ability	ability	NOUN
ajst-31199	61	16	of	of	ADP
ajst-31199	61	17	the	the	DET
ajst-31199	61	18	model	model	NOUN
ajst-31199	61	19	.	.	PUNCT
ajst-31199	62	1	although	although	SCONJ
ajst-31199	62	2	still	still	ADV
ajst-31199	62	3	facing	face	VERB
ajst-31199	62	4	challenges	challenge	NOUN
ajst-31199	62	5	such	such	ADJ
ajst-31199	62	6	as	as	ADP
ajst-31199	62	7	strong	strong	ADJ
ajst-31199	62	8	sample	sample	NOUN
ajst-31199	62	9	dependence	dependence	NOUN
ajst-31199	62	10	and	and	CCONJ
ajst-31199	62	11	insufficient	insufficient	ADJ
ajst-31199	62	12	interpretability	interpretability	NOUN
ajst-31199	62	13	,	,	PUNCT
ajst-31199	62	14	deep	deep	ADJ
ajst-31199	62	15	learning	learning	NOUN
ajst-31199	62	16	will	will	AUX
ajst-31199	62	17	play	play	VERB
ajst-31199	62	18	an	an	DET
ajst-31199	62	19	increasingly	increasingly	ADV
ajst-31199	62	20	important	important	ADJ
ajst-31199	62	21	role	role	NOUN
ajst-31199	62	22	in	in	ADP
ajst-31199	62	23	the	the	DET
ajst-31199	62	24	field	field	NOUN
ajst-31199	62	25	of	of	ADP
ajst-31199	62	26	remote	remote	ADJ
ajst-31199	62	27	sensing	sense	VERB
ajst-31199	62	28	change	change	NOUN
ajst-31199	62	29	detection	detection	NOUN
ajst-31199	62	30	through	through	ADP
ajst-31199	62	31	model	model	NOUN
ajst-31199	62	32	improvement	improvement	NOUN
ajst-31199	62	33	and	and	CCONJ
ajst-31199	62	34	multimodal	multimodal	NOUN
ajst-31199	62	35	information	information	NOUN
ajst-31199	62	36	integration	integration	NOUN
ajst-31199	62	37	,	,	PUNCT
ajst-31199	62	38	providing	provide	VERB
ajst-31199	62	39	technical	technical	ADJ
ajst-31199	62	40	support	support	NOUN
ajst-31199	62	41	for	for	ADP
ajst-31199	62	42	applications	application	NOUN
ajst-31199	62	43	such	such	ADJ
ajst-31199	62	44	as	as	ADP
ajst-31199	62	45	land	land	NOUN
ajst-31199	62	46	use	use	NOUN
ajst-31199	62	47	monitoring	monitoring	NOUN
ajst-31199	62	48	,	,	PUNCT
ajst-31199	62	49	environmental	environmental	ADJ
ajst-31199	62	50	assessment	assessment	NOUN
ajst-31199	62	51	and	and	CCONJ
ajst-31199	62	52	disaster	disaster	NOUN
ajst-31199	62	53	emergency	emergency	NOUN
ajst-31199	62	54	response	response	NOUN
ajst-31199	62	55	.	.	PUNCT
ajst-31199	63	1	references	reference	NOUN
ajst-31199	63	2	[	[	X
ajst-31199	63	3	1	1	X
ajst-31199	63	4	]	]	PUNCT
ajst-31199	63	5	wang	wang	PROPN
ajst-31199	63	6	q	q	PROPN
ajst-31199	63	7	,	,	PUNCT
ajst-31199	63	8	zhang	zhang	PROPN
ajst-31199	63	9	x	x	PROPN
ajst-31199	63	10	,	,	PUNCT
ajst-31199	63	11	chen	chen	PROPN
ajst-31199	63	12	g	g	PROPN
ajst-31199	63	13	,	,	PUNCT
ajst-31199	63	14	et	et	PROPN
ajst-31199	63	15	al	al	PROPN
ajst-31199	63	16	.	.	PUNCT
ajst-31199	64	1	change	change	NOUN
ajst-31199	64	2	detection	detection	NOUN
ajst-31199	64	3	based	base	VERB
ajst-31199	64	4	on	on	ADP
ajst-31199	64	5	faster	fast	ADJ
ajst-31199	64	6	r	r	NOUN
ajst-31199	64	7	-	-	PUNCT
ajst-31199	64	8	cnn	cnn	PROPN
ajst-31199	64	9	for	for	ADP
ajst-31199	64	10	high	high	ADJ
ajst-31199	64	11	-	-	PUNCT
ajst-31199	64	12	resolution	resolution	NOUN
ajst-31199	64	13	remote	remote	ADJ
ajst-31199	64	14	sensing	sensing	NOUN
ajst-31199	64	15	images	image	NOUN
ajst-31199	65	1	[	[	X
ajst-31199	65	2	j	j	X
ajst-31199	65	3	]	]	X
ajst-31199	65	4	.	.	PUNCT
ajst-31199	66	1	remote	remote	ADJ
ajst-31199	66	2	sensing	sense	VERB
ajst-31199	66	3	letters	letter	NOUN
ajst-31199	66	4	,	,	PUNCT
ajst-31199	66	5	2018	2018	NUM
ajst-31199	66	6	.	.	PUNCT
ajst-31199	67	1	[	[	X
ajst-31199	67	2	2	2	X
ajst-31199	67	3	]	]	X
ajst-31199	67	4	wang	wang	PROPN
ajst-31199	67	5	m	m	PROPN
ajst-31199	67	6	,	,	PUNCT
ajst-31199	67	7	zhang	zhang	PROPN
ajst-31199	67	8	h	h	PROPN
ajst-31199	67	9	,	,	PUNCT
ajst-31199	67	10	sun	sun	PROPN
ajst-31199	67	11	w	w	PROPN
ajst-31199	67	12	,	,	PUNCT
ajst-31199	67	13	et	et	PROPN
ajst-31199	67	14	al	al	PROPN
ajst-31199	67	15	.	.	PUNCT
ajst-31199	68	1	a	a	DET
ajst-31199	68	2	coarse	coarse	NOUN
ajst-31199	68	3	-	-	PUNCT
ajst-31199	68	4	to	to	ADP
ajst-31199	68	5	-	-	PUNCT
ajst-31199	68	6	fine	fine	ADJ
ajst-31199	68	7	deep	deep	ADJ
ajst-31199	68	8	learning	learning	NOUN
ajst-31199	68	9	based	base	VERB
ajst-31199	68	10	land	land	NOUN
ajst-31199	68	11	use	use	NOUN
ajst-31199	68	12	change	change	NOUN
ajst-31199	68	13	detection	detection	NOUN
ajst-31199	68	14	method	method	NOUN
ajst-31199	68	15	for	for	ADP
ajst-31199	68	16	highresolution	highresolution	NOUN
ajst-31199	68	17	remote	remote	ADJ
ajst-31199	68	18	sensing	sensing	NOUN
ajst-31199	68	19	images	image	NOUN
ajst-31199	69	1	[	[	X
ajst-31199	69	2	j	j	X
ajst-31199	69	3	]	]	X
ajst-31199	69	4	.	.	PUNCT
ajst-31199	70	1	remote	remote	ADJ
ajst-31199	70	2	sensing	sensing	NOUN
ajst-31199	70	3	,	,	PUNCT
ajst-31199	70	4	2020	2020	NUM
ajst-31199	70	5	.	.	PUNCT
ajst-31199	71	1	[	[	X
ajst-31199	71	2	3	3	NUM
ajst-31199	71	3	]	]	SYM
ajst-31199	71	4	xing	xing	PROPN
ajst-31199	71	5	,	,	PUNCT
ajst-31199	71	6	huaqiao	huaqiao	PROPN
ajst-31199	71	7	,	,	PUNCT
ajst-31199	71	8	zhu	zhu	PROPN
ajst-31199	71	9	,	,	PUNCT
ajst-31199	71	10	et	et	PROPN
ajst-31199	71	11	al	al	PROPN
ajst-31199	71	12	.	.	PUNCT
ajst-31199	72	1	a	a	DET
ajst-31199	72	2	comparative	comparative	ADJ
ajst-31199	72	3	study	study	NOUN
ajst-31199	72	4	of	of	ADP
ajst-31199	72	5	threshold	threshold	NOUN
ajst-31199	72	6	selection	selection	NOUN
ajst-31199	72	7	methods	method	NOUN
ajst-31199	72	8	for	for	ADP
ajst-31199	72	9	change	change	NOUN
ajst-31199	72	10	detection	detection	NOUN
ajst-31199	72	11	from	from	ADP
ajst-31199	72	12	very	very	ADV
ajst-31199	72	13	high	high	ADJ
ajst-31199	72	14	-	-	PUNCT
ajst-31199	72	15	resolution	resolution	NOUN
ajst-31199	72	16	remote	remote	ADJ
ajst-31199	72	17	sensing	sensing	NOUN
ajst-31199	72	18	images	image	NOUN
ajst-31199	72	19	[	[	X
ajst-31199	72	20	j	j	X
ajst-31199	72	21	]	]	X
ajst-31199	72	22	.	.	PUNCT
ajst-31199	73	1	earth	earth	PROPN
ajst-31199	73	2	science	science	PROPN
ajst-31199	73	3	informatics	informatic	NOUN
ajst-31199	73	4	,	,	PUNCT
ajst-31199	73	5	2022	2022	NUM
ajst-31199	73	6	.	.	PUNCT
ajst-31199	74	1	[	[	X
ajst-31199	74	2	4	4	X
ajst-31199	74	3	]	]	X
ajst-31199	74	4	huang	huang	PROPN
ajst-31199	74	5	l	l	PROPN
ajst-31199	74	6	,	,	PUNCT
ajst-31199	74	7	an	an	DET
ajst-31199	74	8	r	r	NOUN
ajst-31199	74	9	,	,	PUNCT
ajst-31199	74	10	zhao	zhao	PROPN
ajst-31199	74	11	s	s	PROPN
ajst-31199	74	12	,	,	PUNCT
ajst-31199	74	13	et	et	PROPN
ajst-31199	74	14	al	al	PROPN
ajst-31199	74	15	.	.	PUNCT
ajst-31199	75	1	a	a	DET
ajst-31199	75	2	deep	deep	ADJ
ajst-31199	75	3	learning	learning	NOUN
ajst-31199	75	4	-	-	PUNCT
ajst-31199	75	5	based	base	VERB
ajst-31199	75	6	robust	robust	ADJ
ajst-31199	75	7	change	change	NOUN
ajst-31199	75	8	detection	detection	NOUN
ajst-31199	75	9	approach	approach	NOUN
ajst-31199	75	10	for	for	ADP
ajst-31199	75	11	very	very	ADV
ajst-31199	75	12	high	high	ADJ
ajst-31199	75	13	resolution	resolution	NOUN
ajst-31199	75	14	remotely	remotely	ADV
ajst-31199	75	15	sensed	sense	VERB
ajst-31199	75	16	images	image	NOUN
ajst-31199	75	17	with	with	ADP
ajst-31199	75	18	multiple	multiple	ADJ
ajst-31199	75	19	features	feature	NOUN
ajst-31199	75	20	[	[	X
ajst-31199	75	21	j	j	X
ajst-31199	75	22	]	]	X
ajst-31199	75	23	.	.	PUNCT
ajst-31199	76	1	remote	remote	ADJ
ajst-31199	76	2	sensing	sensing	NOUN
ajst-31199	76	3	,	,	PUNCT
ajst-31199	76	4	2020	2020	NUM
ajst-31199	76	5	.	.	PUNCT
ajst-31199	77	1	[	[	X
ajst-31199	77	2	5	5	NUM
ajst-31199	77	3	]	]	PUNCT
ajst-31199	77	4	larabi	larabi	NOUN
ajst-31199	77	5	m	m	PROPN
ajst-31199	77	6	e	e	NOUN
ajst-31199	77	7	a	a	PROPN
ajst-31199	77	8	,	,	PUNCT
ajst-31199	77	9	chaib	chaib	PROPN
ajst-31199	77	10	s	s	PART
ajst-31199	77	11	,	,	PUNCT
ajst-31199	77	12	bakhti	bakhti	ADJ
ajst-31199	77	13	k	k	NOUN
ajst-31199	77	14	,	,	PUNCT
ajst-31199	77	15	et	et	PROPN
ajst-31199	77	16	al	al	PROPN
ajst-31199	77	17	.	.	PROPN
ajst-31199	77	18	high	high	ADJ
ajst-31199	77	19	-	-	PUNCT
ajst-31199	77	20	resolution	resolution	NOUN
ajst-31199	77	21	optical	optical	ADJ
ajst-31199	77	22	remote	remote	ADJ
ajst-31199	77	23	sensing	sense	VERB
ajst-31199	77	24	imagery	imagery	NOUN
ajst-31199	77	25	change	change	NOUN
ajst-31199	77	26	detection	detection	NOUN
ajst-31199	77	27	through	through	ADP
ajst-31199	77	28	deep	deep	ADJ
ajst-31199	77	29	transfer	transfer	NOUN
ajst-31199	77	30	learning	learn	VERB
ajst-31199	78	1	[	[	X
ajst-31199	78	2	j	j	X
ajst-31199	78	3	]	]	X
ajst-31199	78	4	.	.	PUNCT
ajst-31199	79	1	journal	journal	PROPN
ajst-31199	79	2	of	of	ADP
ajst-31199	79	3	applied	apply	VERB
ajst-31199	79	4	remote	remote	ADJ
ajst-31199	79	5	sensing	sensing	NOUN
ajst-31199	79	6	,	,	PUNCT
ajst-31199	79	7	2019	2019	NUM
ajst-31199	79	8	.	.	PUNCT
ajst-31199	80	1	[	[	X
ajst-31199	80	2	6	6	NUM
ajst-31199	80	3	]	]	PUNCT
ajst-31199	80	4	wang	wang	PROPN
ajst-31199	80	5	h	h	PROPN
ajst-31199	80	6	,	,	PUNCT
ajst-31199	80	7	qi	qi	PROPN
ajst-31199	80	8	j	j	PROPN
ajst-31199	80	9	,	,	PUNCT
ajst-31199	80	10	lei	lei	PROPN
ajst-31199	80	11	y	y	PROPN
ajst-31199	80	12	,	,	PUNCT
ajst-31199	80	13	et	et	PROPN
ajst-31199	80	14	al	al	PROPN
ajst-31199	80	15	.	.	PUNCT
ajst-31199	81	1	a	a	DET
ajst-31199	81	2	refined	refined	ADJ
ajst-31199	81	3	method	method	NOUN
ajst-31199	81	4	of	of	ADP
ajst-31199	81	5	highresolution	highresolution	NOUN
ajst-31199	81	6	remote	remote	ADJ
ajst-31199	81	7	sensing	sense	VERB
ajst-31199	81	8	change	change	NOUN
ajst-31199	81	9	detection	detection	NOUN
ajst-31199	81	10	based	base	VERB
ajst-31199	81	11	on	on	ADP
ajst-31199	81	12	machine	machine	NOUN
ajst-31199	81	13	learning	learning	NOUN
ajst-31199	81	14	for	for	ADP
ajst-31199	81	15	newly	newly	ADV
ajst-31199	81	16	constructed	construct	VERB
ajst-31199	81	17	building	building	NOUN
ajst-31199	81	18	areas	area	NOUN
ajst-31199	81	19	[	[	X
ajst-31199	81	20	j	j	X
ajst-31199	81	21	]	]	X
ajst-31199	81	22	.	.	PUNCT
ajst-31199	82	1	remote	remote	ADJ
ajst-31199	82	2	sensing	sensing	NOUN
ajst-31199	82	3	,	,	PUNCT
ajst-31199	82	4	2021	2021	NUM
ajst-31199	82	5	.	.	PUNCT
ajst-31199	83	1	[	[	X
ajst-31199	83	2	7	7	X
ajst-31199	83	3	]	]	X
ajst-31199	83	4	jiang	jiang	PROPN
ajst-31199	83	5	h	h	PROPN
ajst-31199	83	6	,	,	PUNCT
ajst-31199	83	7	peng	peng	PROPN
ajst-31199	83	8	m	m	PROPN
ajst-31199	83	9	,	,	PUNCT
ajst-31199	83	10	zhong	zhong	PROPN
ajst-31199	83	11	y	y	PROPN
ajst-31199	83	12	,	,	PUNCT
ajst-31199	83	13	et	et	PROPN
ajst-31199	83	14	al	al	PROPN
ajst-31199	83	15	.	.	PUNCT
ajst-31199	84	1	a	a	DET
ajst-31199	84	2	survey	survey	NOUN
ajst-31199	84	3	on	on	ADP
ajst-31199	84	4	deep	deep	ADJ
ajst-31199	84	5	learning	learning	NOUN
ajst-31199	84	6	-	-	PUNCT
ajst-31199	84	7	based	base	VERB
ajst-31199	84	8	change	change	NOUN
ajst-31199	84	9	detection	detection	NOUN
ajst-31199	84	10	from	from	ADP
ajst-31199	84	11	high	high	ADJ
ajst-31199	84	12	-	-	PUNCT
ajst-31199	84	13	resolution	resolution	NOUN
ajst-31199	84	14	remote	remote	ADJ
ajst-31199	84	15	sensing	sensing	NOUN
ajst-31199	84	16	images	image	NOUN
ajst-31199	84	17	[	[	X
ajst-31199	84	18	j	j	X
ajst-31199	84	19	]	]	X
ajst-31199	84	20	.	.	PUNCT
ajst-31199	85	1	remote	remote	ADJ
ajst-31199	85	2	sensing	sensing	NOUN
ajst-31199	85	3	,	,	PUNCT
ajst-31199	85	4	2022	2022	NUM
ajst-31199	85	5	.	.	PUNCT