id	sid	tid	token	lemma	pos
ajst-13990	1	1	academic	academic	ADJ
ajst-13990	1	2	journal	journal	NOUN
ajst-13990	1	3	of	of	ADP
ajst-13990	1	4	science	science	NOUN
ajst-13990	1	5	and	and	CCONJ
ajst-13990	1	6	technology	technology	NOUN
ajst-13990	1	7	issn	issn	NOUN
ajst-13990	1	8	:	:	PUNCT
ajst-13990	1	9	2771	2771	NUM
ajst-13990	1	10	-	-	SYM
ajst-13990	1	11	3032	3032	NUM
ajst-13990	1	12	|	|	NOUN
ajst-13990	1	13	vol	vol	NOUN
ajst-13990	1	14	.	.	PROPN
ajst-13990	1	15	8	8	NUM
ajst-13990	1	16	,	,	PUNCT
ajst-13990	1	17	no	no	INTJ
ajst-13990	1	18	.	.	NOUN
ajst-13990	1	19	1	1	NUM
ajst-13990	1	20	,	,	PUNCT
ajst-13990	1	21	2023	2023	NUM
ajst-13990	1	22	62	62	NUM
ajst-13990	1	23	improved	improve	VERB
ajst-13990	1	24	gsa	gsa	PROPN
ajst-13990	1	25	method	method	NOUN
ajst-13990	1	26	based	base	VERB
ajst-13990	1	27	on	on	ADP
ajst-13990	1	28	deep	deep	ADJ
ajst-13990	1	29	convolutional	convolutional	ADJ
ajst-13990	1	30	features	feature	NOUN
ajst-13990	1	31	shuai	shuai	PROPN
ajst-13990	1	32	wu	wu	PROPN
ajst-13990	1	33	school	school	NOUN
ajst-13990	1	34	of	of	ADP
ajst-13990	1	35	surveying	surveying	NOUN
ajst-13990	1	36	and	and	CCONJ
ajst-13990	1	37	land	land	NOUN
ajst-13990	1	38	information	information	NOUN
ajst-13990	1	39	engineering	engineering	PROPN
ajst-13990	1	40	,	,	PUNCT
ajst-13990	1	41	henan	henan	PROPN
ajst-13990	1	42	polytechnic	polytechnic	PROPN
ajst-13990	1	43	university	university	PROPN
ajst-13990	1	44	,	,	PUNCT
ajst-13990	1	45	jiaozuo	jiaozuo	PROPN
ajst-13990	1	46	454000	454000	NUM
ajst-13990	1	47	,	,	PUNCT
ajst-13990	1	48	china	china	PROPN
ajst-13990	1	49	abstract	abstract	PROPN
ajst-13990	1	50	:	:	PUNCT
ajst-13990	1	51	with	with	ADP
ajst-13990	1	52	the	the	DET
ajst-13990	1	53	rapid	rapid	ADJ
ajst-13990	1	54	development	development	NOUN
ajst-13990	1	55	of	of	ADP
ajst-13990	1	56	remote	remote	ADJ
ajst-13990	1	57	sensing	sensing	NOUN
ajst-13990	1	58	platforms	platform	NOUN
ajst-13990	1	59	,	,	PUNCT
ajst-13990	1	60	sensors	sensor	NOUN
ajst-13990	1	61	and	and	CCONJ
ajst-13990	1	62	other	other	ADJ
ajst-13990	1	63	technologies	technology	NOUN
ajst-13990	1	64	,	,	PUNCT
ajst-13990	1	65	remote	remote	ADJ
ajst-13990	1	66	sensing	sensing	NOUN
ajst-13990	1	67	,	,	PUNCT
ajst-13990	1	68	as	as	ADP
ajst-13990	1	69	an	an	DET
ajst-13990	1	70	important	important	ADJ
ajst-13990	1	71	technical	technical	ADJ
ajst-13990	1	72	means	mean	NOUN
ajst-13990	1	73	of	of	ADP
ajst-13990	1	74	collecting	collect	VERB
ajst-13990	1	75	information	information	NOUN
ajst-13990	1	76	on	on	ADP
ajst-13990	1	77	land	land	NOUN
ajst-13990	1	78	cover	cover	NOUN
ajst-13990	1	79	and	and	CCONJ
ajst-13990	1	80	its	its	PRON
ajst-13990	1	81	changes	change	NOUN
ajst-13990	1	82	,	,	PUNCT
ajst-13990	1	83	plays	play	VERB
ajst-13990	1	84	an	an	DET
ajst-13990	1	85	important	important	ADJ
ajst-13990	1	86	role	role	NOUN
ajst-13990	1	87	in	in	ADP
ajst-13990	1	88	land	land	NOUN
ajst-13990	1	89	cover	cover	NOUN
ajst-13990	1	90	classification	classification	NOUN
ajst-13990	1	91	and	and	CCONJ
ajst-13990	1	92	dynamic	dynamic	ADJ
ajst-13990	1	93	monitoring	monitoring	NOUN
ajst-13990	1	94	.	.	PUNCT
ajst-13990	2	1	due	due	ADP
ajst-13990	2	2	to	to	ADP
ajst-13990	2	3	the	the	DET
ajst-13990	2	4	limitation	limitation	NOUN
ajst-13990	2	5	of	of	ADP
ajst-13990	2	6	the	the	DET
ajst-13990	2	7	imaging	imaging	NOUN
ajst-13990	2	8	mechanism	mechanism	NOUN
ajst-13990	2	9	of	of	ADP
ajst-13990	2	10	in	in	ADP
ajst-13990	2	11	-	-	PUNCT
ajst-13990	2	12	orbit	orbit	NOUN
ajst-13990	2	13	optical	optical	ADJ
ajst-13990	2	14	remote	remote	ADJ
ajst-13990	2	15	sensing	sense	VERB
ajst-13990	2	16	sensors	sensor	NOUN
ajst-13990	2	17	,	,	PUNCT
ajst-13990	2	18	it	it	PRON
ajst-13990	2	19	is	be	AUX
ajst-13990	2	20	difficult	difficult	ADJ
ajst-13990	2	21	for	for	SCONJ
ajst-13990	2	22	to	to	PART
ajst-13990	2	23	take	take	VERB
ajst-13990	2	24	into	into	ADP
ajst-13990	2	25	account	account	NOUN
ajst-13990	2	26	both	both	CCONJ
ajst-13990	2	27	spatial	spatial	ADJ
ajst-13990	2	28	resolution	resolution	NOUN
ajst-13990	2	29	and	and	CCONJ
ajst-13990	2	30	spectral	spectral	ADJ
ajst-13990	2	31	resolution	resolution	NOUN
ajst-13990	2	32	.	.	PUNCT
ajst-13990	3	1	there	there	PRON
ajst-13990	3	2	is	be	VERB
ajst-13990	3	3	a	a	DET
ajst-13990	3	4	need	need	NOUN
ajst-13990	3	5	for	for	ADP
ajst-13990	3	6	complementary	complementary	ADJ
ajst-13990	3	7	use	use	NOUN
ajst-13990	3	8	of	of	ADP
ajst-13990	3	9	different	different	ADJ
ajst-13990	3	10	sensor	sensor	NOUN
ajst-13990	3	11	images	image	NOUN
ajst-13990	3	12	and	and	CCONJ
ajst-13990	3	13	to	to	PART
ajst-13990	3	14	improve	improve	VERB
ajst-13990	3	15	the	the	DET
ajst-13990	3	16	accuracy	accuracy	NOUN
ajst-13990	3	17	of	of	ADP
ajst-13990	3	18	feature	feature	NOUN
ajst-13990	3	19	interpretation	interpretation	NOUN
ajst-13990	3	20	.	.	PUNCT
ajst-13990	4	1	in	in	ADP
ajst-13990	4	2	this	this	DET
ajst-13990	4	3	study	study	NOUN
ajst-13990	4	4	,	,	PUNCT
ajst-13990	4	5	based	base	VERB
ajst-13990	4	6	on	on	ADP
ajst-13990	4	7	the	the	DET
ajst-13990	4	8	gram	gram	NOUN
ajst-13990	4	9	-	-	PUNCT
ajst-13990	4	10	schmidt	schmidt	NOUN
ajst-13990	4	11	adaptive	adaptive	NOUN
ajst-13990	4	12	(	(	PUNCT
ajst-13990	4	13	gsa	gsa	PROPN
ajst-13990	4	14	)	)	PUNCT
ajst-13990	4	15	and	and	CCONJ
ajst-13990	4	16	its	its	PRON
ajst-13990	4	17	classical	classical	ADJ
ajst-13990	4	18	extension	extension	NOUN
ajst-13990	4	19	,	,	PUNCT
ajst-13990	4	20	a	a	DET
ajst-13990	4	21	neural	neural	ADJ
ajst-13990	4	22	network	network	NOUN
ajst-13990	4	23	-	-	PUNCT
ajst-13990	4	24	based	base	VERB
ajst-13990	4	25	multi	multi	ADJ
ajst-13990	4	26	-	-	ADJ
ajst-13990	4	27	source	source	NOUN
ajst-13990	4	28	remote	remote	ADJ
ajst-13990	4	29	sensing	sense	VERB
ajst-13990	4	30	image	image	NOUN
ajst-13990	4	31	fusion	fusion	NOUN
ajst-13990	4	32	method	method	NOUN
ajst-13990	4	33	is	be	AUX
ajst-13990	4	34	proposed	propose	VERB
ajst-13990	4	35	by	by	ADP
ajst-13990	4	36	combining	combine	VERB
ajst-13990	4	37	the	the	DET
ajst-13990	4	38	u	u	ADJ
ajst-13990	4	39	-	-	ADJ
ajst-13990	4	40	net	net	ADJ
ajst-13990	4	41	coding	coding	NOUN
ajst-13990	4	42	and	and	CCONJ
ajst-13990	4	43	decoding	decode	VERB
ajst-13990	4	44	structure	structure	NOUN
ajst-13990	4	45	with	with	ADP
ajst-13990	4	46	the	the	DET
ajst-13990	4	47	non	non	ADJ
ajst-13990	4	48	-	-	ADJ
ajst-13990	4	49	local	local	ADJ
ajst-13990	4	50	spatial	spatial	ADJ
ajst-13990	4	51	attention	attention	NOUN
ajst-13990	4	52	mechanism	mechanism	NOUN
ajst-13990	4	53	.	.	PUNCT
ajst-13990	5	1	using	use	VERB
ajst-13990	5	2	two	two	NUM
ajst-13990	5	3	sets	set	NOUN
ajst-13990	5	4	of	of	ADP
ajst-13990	5	5	experimental	experimental	ADJ
ajst-13990	5	6	datasets	dataset	NOUN
ajst-13990	5	7	,	,	PUNCT
ajst-13990	5	8	three	three	NUM
ajst-13990	5	9	kinds	kind	NOUN
ajst-13990	5	10	of	of	ADP
ajst-13990	5	11	fusion	fusion	NOUN
ajst-13990	5	12	evaluation	evaluation	NOUN
ajst-13990	5	13	metrics	metric	NOUN
ajst-13990	5	14	without	without	ADP
ajst-13990	5	15	reference	reference	NOUN
ajst-13990	5	16	and	and	CCONJ
ajst-13990	5	17	three	three	NUM
ajst-13990	5	18	kinds	kind	NOUN
ajst-13990	5	19	of	of	ADP
ajst-13990	5	20	fusion	fusion	NOUN
ajst-13990	5	21	evaluation	evaluation	NOUN
ajst-13990	5	22	metrics	metric	NOUN
ajst-13990	5	23	with	with	ADP
ajst-13990	5	24	reference	reference	NOUN
ajst-13990	5	25	,	,	PUNCT
ajst-13990	5	26	the	the	DET
ajst-13990	5	27	improved	improved	ADJ
ajst-13990	5	28	method	method	NOUN
ajst-13990	5	29	and	and	CCONJ
ajst-13990	5	30	the	the	DET
ajst-13990	5	31	existing	exist	VERB
ajst-13990	5	32	fusion	fusion	NOUN
ajst-13990	5	33	method	method	NOUN
ajst-13990	5	34	are	be	AUX
ajst-13990	5	35	compared	compare	VERB
ajst-13990	5	36	.	.	PUNCT
ajst-13990	6	1	keywords	keyword	NOUN
ajst-13990	6	2	:	:	PUNCT
ajst-13990	6	3	multi	multi	ADJ
ajst-13990	6	4	-	-	ADJ
ajst-13990	6	5	source	source	ADJ
ajst-13990	6	6	remote	remote	ADJ
ajst-13990	6	7	sensing	sense	VERB
ajst-13990	6	8	imagery	imagery	NOUN
ajst-13990	6	9	;	;	PUNCT
ajst-13990	6	10	gsa	gsa	PROPN
ajst-13990	6	11	;	;	PUNCT
ajst-13990	6	12	u	u	NOUN
ajst-13990	6	13	-	-	NOUN
ajst-13990	6	14	net	net	ADJ
ajst-13990	6	15	.	.	PUNCT
ajst-13990	7	1	1	1	X
ajst-13990	7	2	.	.	X
ajst-13990	7	3	introduction	introduction	NOUN
ajst-13990	7	4	with	with	ADP
ajst-13990	7	5	the	the	DET
ajst-13990	7	6	rapid	rapid	ADJ
ajst-13990	7	7	development	development	NOUN
ajst-13990	7	8	of	of	ADP
ajst-13990	7	9	remote	remote	ADJ
ajst-13990	7	10	sensing	sensing	NOUN
ajst-13990	7	11	platforms	platform	NOUN
ajst-13990	7	12	,	,	PUNCT
ajst-13990	7	13	sensors	sensor	NOUN
ajst-13990	7	14	,	,	PUNCT
ajst-13990	7	15	communications	communication	NOUN
ajst-13990	7	16	and	and	CCONJ
ajst-13990	7	17	data	datum	NOUN
ajst-13990	7	18	processing	processing	NOUN
ajst-13990	7	19	technologies	technology	NOUN
ajst-13990	7	20	,	,	PUNCT
ajst-13990	7	21	remote	remote	ADJ
ajst-13990	7	22	sensing	sense	VERB
ajst-13990	7	23	technology	technology	NOUN
ajst-13990	7	24	,	,	PUNCT
ajst-13990	7	25	as	as	ADP
ajst-13990	7	26	an	an	DET
ajst-13990	7	27	important	important	ADJ
ajst-13990	7	28	means	mean	NOUN
ajst-13990	7	29	of	of	ADP
ajst-13990	7	30	information	information	NOUN
ajst-13990	7	31	collection	collection	NOUN
ajst-13990	7	32	,	,	PUNCT
ajst-13990	7	33	has	have	AUX
ajst-13990	7	34	been	be	AUX
ajst-13990	7	35	able	able	ADJ
ajst-13990	7	36	to	to	PART
ajst-13990	7	37	achieve	achieve	VERB
ajst-13990	7	38	all	all	DET
ajst-13990	7	39	-	-	PUNCT
ajst-13990	7	40	weather	weather	NOUN
ajst-13990	7	41	,	,	PUNCT
ajst-13990	7	42	all	all	DET
ajst-13990	7	43	-	-	PUNCT
ajst-13990	7	44	day	day	NOUN
ajst-13990	7	45	,	,	PUNCT
ajst-13990	7	46	all	all	DET
ajst-13990	7	47	-	-	PUNCT
ajst-13990	7	48	round	round	NOUN
ajst-13990	7	49	observation	observation	NOUN
ajst-13990	7	50	of	of	ADP
ajst-13990	7	51	the	the	DET
ajst-13990	7	52	earth	earth	NOUN
ajst-13990	7	53	's	's	PART
ajst-13990	7	54	data	datum	NOUN
ajst-13990	7	55	and	and	CCONJ
ajst-13990	7	56	information	information	NOUN
ajst-13990	7	57	on	on	ADP
ajst-13990	7	58	its	its	PRON
ajst-13990	7	59	changes[1,2	changes[1,2	NOUN
ajst-13990	7	60	]	]	PUNCT
ajst-13990	7	61	.	.	PUNCT
ajst-13990	8	1	meanwhile	meanwhile	ADV
ajst-13990	8	2	,	,	PUNCT
ajst-13990	8	3	in	in	ADP
ajst-13990	8	4	the	the	DET
ajst-13990	8	5	1980s	1980	NOUN
ajst-13990	8	6	,	,	PUNCT
ajst-13990	8	7	the	the	DET
ajst-13990	8	8	introduction	introduction	NOUN
ajst-13990	8	9	of	of	ADP
ajst-13990	8	10	hyperspectral	hyperspectral	ADJ
ajst-13990	8	11	earth	earth	NOUN
ajst-13990	8	12	observation	observation	NOUN
ajst-13990	8	13	technology	technology	NOUN
ajst-13990	8	14	,	,	PUNCT
ajst-13990	8	15	which	which	PRON
ajst-13990	8	16	combines	combine	VERB
ajst-13990	8	17	the	the	DET
ajst-13990	8	18	spectra	spectra	NOUN
ajst-13990	8	19	of	of	ADP
ajst-13990	8	20	features	feature	NOUN
ajst-13990	8	21	with	with	ADP
ajst-13990	8	22	their	their	PRON
ajst-13990	8	23	spatial	spatial	ADJ
ajst-13990	8	24	and	and	CCONJ
ajst-13990	8	25	geometric	geometric	ADJ
ajst-13990	8	26	information	information	NOUN
ajst-13990	8	27	,	,	PUNCT
ajst-13990	8	28	marked	mark	VERB
ajst-13990	8	29	the	the	DET
ajst-13990	8	30	entry	entry	NOUN
ajst-13990	8	31	of	of	ADP
ajst-13990	8	32	remote	remote	ADJ
ajst-13990	8	33	sensing	sense	VERB
ajst-13990	8	34	technology	technology	NOUN
ajst-13990	8	35	into	into	ADP
ajst-13990	8	36	a	a	DET
ajst-13990	8	37	completely	completely	ADV
ajst-13990	8	38	new	new	ADJ
ajst-13990	8	39	stage	stage	NOUN
ajst-13990	8	40	of	of	ADP
ajst-13990	8	41	development[3	development[3	PROPN
ajst-13990	8	42	]	]	PUNCT
ajst-13990	8	43	.	.	PUNCT
ajst-13990	9	1	the	the	DET
ajst-13990	9	2	high	high	ADJ
ajst-13990	9	3	spectral	spectral	ADJ
ajst-13990	9	4	resolution	resolution	NOUN
ajst-13990	9	5	,	,	PUNCT
ajst-13990	9	6	spectral	spectral	ADJ
ajst-13990	9	7	integration	integration	NOUN
ajst-13990	9	8	and	and	CCONJ
ajst-13990	9	9	spectral	spectral	ADJ
ajst-13990	9	10	continuity	continuity	NOUN
ajst-13990	9	11	of	of	ADP
ajst-13990	9	12	spectral	spectral	ADJ
ajst-13990	9	13	remote	remote	ADJ
ajst-13990	9	14	sensing	sensing	NOUN
ajst-13990	9	15	images	image	NOUN
ajst-13990	9	16	have	have	AUX
ajst-13990	9	17	opened	open	VERB
ajst-13990	9	18	up	up	ADP
ajst-13990	9	19	new	new	ADJ
ajst-13990	9	20	ways	way	NOUN
ajst-13990	9	21	for	for	ADP
ajst-13990	9	22	image	image	NOUN
ajst-13990	9	23	analysis	analysis	NOUN
ajst-13990	9	24	and	and	CCONJ
ajst-13990	9	25	information	information	NOUN
ajst-13990	9	26	extraction[4,5	extraction[4,5	VERB
ajst-13990	9	27	]	]	PUNCT
ajst-13990	9	28	.	.	PUNCT
ajst-13990	10	1	in	in	ADP
ajst-13990	10	2	addition	addition	NOUN
ajst-13990	10	3	,	,	PUNCT
ajst-13990	10	4	the	the	DET
ajst-13990	10	5	emergence	emergence	NOUN
ajst-13990	10	6	of	of	ADP
ajst-13990	10	7	high	high	ADJ
ajst-13990	10	8	-	-	PUNCT
ajst-13990	10	9	resolution	resolution	NOUN
ajst-13990	10	10	images	image	NOUN
ajst-13990	10	11	can	can	AUX
ajst-13990	10	12	provide	provide	VERB
ajst-13990	10	13	rich	rich	ADJ
ajst-13990	10	14	geometric	geometric	ADJ
ajst-13990	10	15	structure	structure	NOUN
ajst-13990	10	16	,	,	PUNCT
ajst-13990	10	17	spatial	spatial	ADJ
ajst-13990	10	18	features	feature	NOUN
ajst-13990	10	19	,	,	PUNCT
ajst-13990	10	20	shape	shape	VERB
ajst-13990	10	21	texture	texture	NOUN
ajst-13990	10	22	and	and	CCONJ
ajst-13990	10	23	other	other	ADJ
ajst-13990	10	24	detailed	detailed	ADJ
ajst-13990	10	25	information	information	NOUN
ajst-13990	10	26	of	of	ADP
ajst-13990	10	27	features	feature	NOUN
ajst-13990	10	28	,	,	PUNCT
ajst-13990	10	29	which	which	PRON
ajst-13990	10	30	realises	realise	VERB
ajst-13990	10	31	the	the	DET
ajst-13990	10	32	fine	fine	ADJ
ajst-13990	10	33	description	description	NOUN
ajst-13990	10	34	of	of	ADP
ajst-13990	10	35	surface	surface	NOUN
ajst-13990	10	36	targets[6,7	targets[6,7	NOUN
ajst-13990	10	37	]	]	PUNCT
ajst-13990	10	38	.	.	PUNCT
ajst-13990	11	1	given	give	VERB
ajst-13990	11	2	the	the	DET
ajst-13990	11	3	significant	significant	ADJ
ajst-13990	11	4	constraints	constraint	NOUN
ajst-13990	11	5	between	between	ADP
ajst-13990	11	6	the	the	DET
ajst-13990	11	7	spatial	spatial	ADJ
ajst-13990	11	8	and	and	CCONJ
ajst-13990	11	9	spectral	spectral	ADJ
ajst-13990	11	10	resolutions	resolution	NOUN
ajst-13990	11	11	of	of	ADP
ajst-13990	11	12	remote	remote	ADJ
ajst-13990	11	13	sensing	sense	VERB
ajst-13990	11	14	sensors	sensor	NOUN
ajst-13990	11	15	,	,	PUNCT
ajst-13990	11	16	the	the	DET
ajst-13990	11	17	acquisition	acquisition	NOUN
ajst-13990	11	18	of	of	ADP
ajst-13990	11	19	high	high	ADJ
ajst-13990	11	20	resolution	resolution	NOUN
ajst-13990	11	21	multispectral	multispectral	ADJ
ajst-13990	11	22	(	(	PUNCT
ajst-13990	11	23	hrm	hrm	PROPN
ajst-13990	11	24	)	)	PUNCT
ajst-13990	11	25	imagery	imagery	NOUN
ajst-13990	11	26	using	use	VERB
ajst-13990	11	27	existing	exist	VERB
ajst-13990	11	28	equipment	equipment	NOUN
ajst-13990	11	29	can	can	AUX
ajst-13990	11	30	be	be	AUX
ajst-13990	11	31	quite	quite	ADV
ajst-13990	11	32	challenging[8	challenging[8	NOUN
ajst-13990	11	33	]	]	PUNCT
ajst-13990	11	34	.	.	PUNCT
ajst-13990	12	1	therefore	therefore	ADV
ajst-13990	12	2	,	,	PUNCT
ajst-13990	12	3	multisource	multisource	ADJ
ajst-13990	12	4	data	data	NOUN
ajst-13990	12	5	fusion	fusion	NOUN
ajst-13990	12	6	is	be	AUX
ajst-13990	12	7	needed	need	VERB
ajst-13990	12	8	to	to	PART
ajst-13990	12	9	organically	organically	ADV
ajst-13990	12	10	combine	combine	VERB
ajst-13990	12	11	the	the	DET
ajst-13990	12	12	information	information	NOUN
ajst-13990	12	13	contained	contain	VERB
ajst-13990	12	14	in	in	ADP
ajst-13990	12	15	the	the	DET
ajst-13990	12	16	images	image	NOUN
ajst-13990	12	17	from	from	ADP
ajst-13990	12	18	different	different	ADJ
ajst-13990	12	19	sensors	sensor	NOUN
ajst-13990	12	20	in	in	ADP
ajst-13990	12	21	a	a	DET
ajst-13990	12	22	complementary	complementary	ADJ
ajst-13990	12	23	manner	manner	NOUN
ajst-13990	12	24	,	,	PUNCT
ajst-13990	12	25	spatially	spatially	ADV
ajst-13990	12	26	enhance	enhance	VERB
ajst-13990	12	27	the	the	DET
ajst-13990	12	28	lower	low	ADJ
ajst-13990	12	29	resolution	resolution	NOUN
ajst-13990	12	30	spectral	spectral	ADJ
ajst-13990	12	31	data	datum	NOUN
ajst-13990	12	32	,	,	PUNCT
ajst-13990	12	33	or	or	CCONJ
ajst-13990	12	34	equivalently	equivalently	ADV
ajst-13990	12	35	provide	provide	VERB
ajst-13990	12	36	better	well	ADJ
ajst-13990	12	37	spectral	spectral	ADJ
ajst-13990	12	38	resolution	resolution	NOUN
ajst-13990	12	39	for	for	ADP
ajst-13990	12	40	the	the	DET
ajst-13990	12	41	higher	high	ADJ
ajst-13990	12	42	resolution	resolution	NOUN
ajst-13990	12	43	data	datum	NOUN
ajst-13990	12	44	,	,	PUNCT
ajst-13990	12	45	in	in	ADP
ajst-13990	12	46	order	order	NOUN
ajst-13990	12	47	to	to	PART
ajst-13990	12	48	improve	improve	VERB
ajst-13990	12	49	the	the	DET
ajst-13990	12	50	reliability	reliability	NOUN
ajst-13990	12	51	of	of	ADP
ajst-13990	12	52	image	image	NOUN
ajst-13990	12	53	interpretation	interpretation	NOUN
ajst-13990	12	54	,	,	PUNCT
ajst-13990	12	55	the	the	DET
ajst-13990	12	56	ability	ability	NOUN
ajst-13990	12	57	to	to	PART
ajst-13990	12	58	interpret	interpret	VERB
ajst-13990	12	59	the	the	DET
ajst-13990	12	60	images	image	NOUN
ajst-13990	12	61	,	,	PUNCT
ajst-13990	12	62	and	and	CCONJ
ajst-13990	12	63	thus	thus	ADV
ajst-13990	12	64	improve	improve	VERB
ajst-13990	12	65	the	the	DET
ajst-13990	12	66	accuracy	accuracy	NOUN
ajst-13990	12	67	of	of	ADP
ajst-13990	12	68	data	datum	NOUN
ajst-13990	12	69	classification	classification	NOUN
ajst-13990	12	70	and	and	CCONJ
ajst-13990	12	71	target	target	NOUN
ajst-13990	12	72	identification	identification	NOUN
ajst-13990	12	73	[	[	X
ajst-13990	12	74	9,10	9,10	X
ajst-13990	12	75	]	]	PUNCT
ajst-13990	12	76	.	.	PUNCT
ajst-13990	13	1	multi	multi	ADJ
ajst-13990	13	2	-	-	ADJ
ajst-13990	13	3	source	source	ADJ
ajst-13990	13	4	optical	optical	ADJ
ajst-13990	13	5	remote	remote	ADJ
ajst-13990	13	6	sensing	sense	VERB
ajst-13990	13	7	image	image	NOUN
ajst-13990	13	8	fusion	fusion	NOUN
ajst-13990	13	9	technology	technology	NOUN
ajst-13990	13	10	is	be	AUX
ajst-13990	13	11	a	a	DET
ajst-13990	13	12	technology	technology	NOUN
ajst-13990	13	13	that	that	PRON
ajst-13990	13	14	fuses	fuse	VERB
ajst-13990	13	15	remote	remote	ADJ
ajst-13990	13	16	sensing	sense	VERB
ajst-13990	13	17	images	image	NOUN
ajst-13990	13	18	collected	collect	VERB
ajst-13990	13	19	by	by	ADP
ajst-13990	13	20	a	a	DET
ajst-13990	13	21	variety	variety	NOUN
ajst-13990	13	22	of	of	ADP
ajst-13990	13	23	different	different	ADJ
ajst-13990	13	24	resolutions	resolution	NOUN
ajst-13990	13	25	and	and	CCONJ
ajst-13990	13	26	sensors	sensor	NOUN
ajst-13990	13	27	.	.	PUNCT
ajst-13990	14	1	it	it	PRON
ajst-13990	14	2	makes	make	VERB
ajst-13990	14	3	full	full	ADJ
ajst-13990	14	4	use	use	NOUN
ajst-13990	14	5	of	of	ADP
ajst-13990	14	6	the	the	DET
ajst-13990	14	7	advantages	advantage	NOUN
ajst-13990	14	8	of	of	ADP
ajst-13990	14	9	different	different	ADJ
ajst-13990	14	10	remote	remote	ADJ
ajst-13990	14	11	sensing	sense	VERB
ajst-13990	14	12	sensors	sensor	NOUN
ajst-13990	14	13	,	,	PUNCT
ajst-13990	14	14	fuses	fuse	VERB
ajst-13990	14	15	remote	remote	ADJ
ajst-13990	14	16	sensing	sense	VERB
ajst-13990	14	17	image	image	NOUN
ajst-13990	14	18	information	information	NOUN
ajst-13990	14	19	from	from	ADP
ajst-13990	14	20	different	different	ADJ
ajst-13990	14	21	sources	source	NOUN
ajst-13990	14	22	,	,	PUNCT
ajst-13990	14	23	such	such	ADJ
ajst-13990	14	24	as	as	ADP
ajst-13990	14	25	high	high	ADJ
ajst-13990	14	26	spatial	spatial	ADJ
ajst-13990	14	27	resolution	resolution	NOUN
ajst-13990	14	28	,	,	PUNCT
ajst-13990	14	29	high	high	ADJ
ajst-13990	14	30	spectral	spectral	ADJ
ajst-13990	14	31	resolution	resolution	NOUN
ajst-13990	14	32	,	,	PUNCT
ajst-13990	14	33	high	high	ADJ
ajst-13990	14	34	temporal	temporal	ADJ
ajst-13990	14	35	resolution	resolution	NOUN
ajst-13990	14	36	,	,	PUNCT
ajst-13990	14	37	etc	etc	X
ajst-13990	14	38	.	.	X
ajst-13990	14	39	,	,	PUNCT
ajst-13990	14	40	and	and	CCONJ
ajst-13990	14	41	fuses	fuse	VERB
ajst-13990	14	42	remote	remote	ADJ
ajst-13990	14	43	sensing	sensing	NOUN
ajst-13990	14	44	images	image	NOUN
ajst-13990	14	45	from	from	ADP
ajst-13990	14	46	different	different	ADJ
ajst-13990	14	47	sources	source	NOUN
ajst-13990	14	48	and	and	CCONJ
ajst-13990	14	49	resolutions	resolution	NOUN
ajst-13990	14	50	into	into	ADP
ajst-13990	14	51	an	an	DET
ajst-13990	14	52	image	image	NOUN
ajst-13990	14	53	with	with	ADP
ajst-13990	14	54	high	high	ADJ
ajst-13990	14	55	spatial	spatial	ADJ
ajst-13990	14	56	and	and	CCONJ
ajst-13990	14	57	spectral	spectral	ADJ
ajst-13990	14	58	resolution[11	resolution[11	NOUN
ajst-13990	14	59	]	]	PUNCT
ajst-13990	14	60	.	.	PUNCT
ajst-13990	15	1	the	the	DET
ajst-13990	15	2	integrated	integrate	VERB
ajst-13990	15	3	use	use	NOUN
ajst-13990	15	4	of	of	ADP
ajst-13990	15	5	these	these	DET
ajst-13990	15	6	data	datum	NOUN
ajst-13990	15	7	can	can	AUX
ajst-13990	15	8	obtain	obtain	VERB
ajst-13990	15	9	more	more	ADJ
ajst-13990	15	10	surface	surface	NOUN
ajst-13990	15	11	coverage	coverage	NOUN
ajst-13990	15	12	information	information	NOUN
ajst-13990	15	13	,	,	PUNCT
ajst-13990	15	14	such	such	ADJ
ajst-13990	15	15	as	as	ADP
ajst-13990	15	16	surface	surface	NOUN
ajst-13990	15	17	temperature	temperature	NOUN
ajst-13990	15	18	,	,	PUNCT
ajst-13990	15	19	vegetation	vegetation	NOUN
ajst-13990	15	20	cover	cover	NOUN
ajst-13990	15	21	,	,	PUNCT
ajst-13990	15	22	water	water	NOUN
ajst-13990	15	23	distribution	distribution	NOUN
ajst-13990	15	24	,	,	PUNCT
ajst-13990	15	25	etc	etc	X
ajst-13990	15	26	.	.	X
ajst-13990	15	27	,	,	PUNCT
ajst-13990	15	28	to	to	PART
ajst-13990	15	29	enhance	enhance	VERB
ajst-13990	15	30	the	the	DET
ajst-13990	15	31	completeness	completeness	NOUN
ajst-13990	15	32	and	and	CCONJ
ajst-13990	15	33	reliability	reliability	NOUN
ajst-13990	15	34	of	of	ADP
ajst-13990	15	35	the	the	DET
ajst-13990	15	36	data	datum	NOUN
ajst-13990	15	37	source	source	NOUN
ajst-13990	15	38	,	,	PUNCT
ajst-13990	15	39	so	so	SCONJ
ajst-13990	15	40	as	as	SCONJ
ajst-13990	15	41	to	to	PART
ajst-13990	15	42	better	well	ADV
ajst-13990	15	43	extract	extract	VERB
ajst-13990	15	44	the	the	DET
ajst-13990	15	45	feature	feature	NOUN
ajst-13990	15	46	information	information	NOUN
ajst-13990	15	47	,	,	PUNCT
ajst-13990	15	48	provide	provide	VERB
ajst-13990	15	49	a	a	DET
ajst-13990	15	50	solid	solid	ADJ
ajst-13990	15	51	foundation	foundation	NOUN
ajst-13990	15	52	for	for	ADP
ajst-13990	15	53	the	the	DET
ajst-13990	15	54	subsequent	subsequent	ADJ
ajst-13990	15	55	applications	application	NOUN
ajst-13990	15	56	,	,	PUNCT
ajst-13990	15	57	and	and	CCONJ
ajst-13990	15	58	improve	improve	VERB
ajst-13990	15	59	the	the	DET
ajst-13990	15	60	accuracy	accuracy	NOUN
ajst-13990	15	61	and	and	CCONJ
ajst-13990	15	62	precision	precision	NOUN
ajst-13990	15	63	of	of	ADP
ajst-13990	15	64	the	the	DET
ajst-13990	15	65	feature	feature	NOUN
ajst-13990	15	66	identification	identification	NOUN
ajst-13990	15	67	and	and	CCONJ
ajst-13990	15	68	the	the	DET
ajst-13990	15	69	accuracy	accuracy	NOUN
ajst-13990	15	70	of	of	ADP
ajst-13990	15	71	the	the	DET
ajst-13990	15	72	target	target	NOUN
ajst-13990	15	73	detection	detection	NOUN
ajst-13990	15	74	and	and	CCONJ
ajst-13990	15	75	classification	classification	NOUN
ajst-13990	15	76	[	[	X
ajst-13990	15	77	12	12	NUM
ajst-13990	15	78	-	-	SYM
ajst-13990	15	79	14	14	NUM
ajst-13990	15	80	]	]	PUNCT
ajst-13990	15	81	.	.	PUNCT
ajst-13990	16	1	2	2	X
ajst-13990	16	2	.	.	X
ajst-13990	16	3	experimental	experimental	ADJ
ajst-13990	16	4	data	datum	NOUN
ajst-13990	16	5	and	and	CCONJ
ajst-13990	16	6	accuracy	accuracy	NOUN
ajst-13990	16	7	evaluation	evaluation	NOUN
ajst-13990	16	8	method	method	NOUN
ajst-13990	16	9	2.1	2.1	NUM
ajst-13990	16	10	.	.	PUNCT
ajst-13990	17	1	experimental	experimental	ADJ
ajst-13990	17	2	data	datum	NOUN
ajst-13990	17	3	the	the	DET
ajst-13990	17	4	experimental	experimental	ADJ
ajst-13990	17	5	study	study	NOUN
ajst-13990	17	6	area	area	NOUN
ajst-13990	17	7	of	of	ADP
ajst-13990	17	8	this	this	DET
ajst-13990	17	9	paper	paper	NOUN
ajst-13990	17	10	is	be	AUX
ajst-13990	17	11	located	locate	VERB
ajst-13990	17	12	in	in	ADP
ajst-13990	17	13	the	the	DET
ajst-13990	17	14	northwestern	northwestern	ADJ
ajst-13990	17	15	part	part	NOUN
ajst-13990	17	16	of	of	ADP
ajst-13990	17	17	beijing	beijing	PROPN
ajst-13990	17	18	,	,	PUNCT
ajst-13990	17	19	china	china	PROPN
ajst-13990	17	20	.	.	PUNCT
ajst-13990	18	1	beijing	beijing	PROPN
ajst-13990	18	2	is	be	AUX
ajst-13990	18	3	located	locate	VERB
ajst-13990	18	4	in	in	ADP
ajst-13990	18	5	the	the	DET
ajst-13990	18	6	northern	northern	ADJ
ajst-13990	18	7	part	part	NOUN
ajst-13990	18	8	of	of	ADP
ajst-13990	18	9	china	china	PROPN
ajst-13990	18	10	and	and	CCONJ
ajst-13990	18	11	has	have	VERB
ajst-13990	18	12	a	a	DET
ajst-13990	18	13	warm	warm	ADJ
ajst-13990	18	14	-	-	PUNCT
ajst-13990	18	15	temperate	temperate	ADJ
ajst-13990	18	16	semihumid	semihumid	ADJ
ajst-13990	18	17	climate	climate	NOUN
ajst-13990	18	18	,	,	PUNCT
ajst-13990	18	19	semi	semi	ADJ
ajst-13990	18	20	-	-	ADJ
ajst-13990	18	21	arid	arid	ADJ
ajst-13990	18	22	climate	climate	NOUN
ajst-13990	18	23	with	with	ADP
ajst-13990	18	24	rainy	rainy	ADJ
ajst-13990	18	25	and	and	CCONJ
ajst-13990	18	26	high	high	ADJ
ajst-13990	18	27	temperatures	temperature	NOUN
ajst-13990	18	28	in	in	ADP
ajst-13990	18	29	summer	summer	NOUN
ajst-13990	18	30	,	,	PUNCT
ajst-13990	18	31	cold	cold	ADJ
ajst-13990	18	32	and	and	CCONJ
ajst-13990	18	33	dry	dry	ADJ
ajst-13990	18	34	winters	winter	NOUN
ajst-13990	18	35	,	,	PUNCT
ajst-13990	18	36	and	and	CCONJ
ajst-13990	18	37	short	short	ADJ
ajst-13990	18	38	springs	spring	NOUN
ajst-13990	18	39	and	and	CCONJ
ajst-13990	18	40	autumns	autumn	NOUN
ajst-13990	18	41	.	.	PUNCT
ajst-13990	19	1	as	as	SCONJ
ajst-13990	19	2	the	the	DET
ajst-13990	19	3	high	high	ADJ
ajst-13990	19	4	-	-	PUNCT
ajst-13990	19	5	resolution	resolution	NOUN
ajst-13990	19	6	data	datum	NOUN
ajst-13990	19	7	are	be	AUX
ajst-13990	19	8	not	not	PART
ajst-13990	19	9	easy	easy	ADJ
ajst-13990	19	10	to	to	PART
ajst-13990	19	11	obtain	obtain	VERB
ajst-13990	19	12	,	,	PUNCT
ajst-13990	19	13	the	the	DET
ajst-13990	19	14	high	high	ADJ
ajst-13990	19	15	-	-	PUNCT
ajst-13990	19	16	resolution	resolution	NOUN
ajst-13990	19	17	data	datum	NOUN
ajst-13990	19	18	and	and	CCONJ
ajst-13990	19	19	sentinel-2	sentinel-2	ADJ
ajst-13990	19	20	data	datum	NOUN
ajst-13990	19	21	used	use	VERB
ajst-13990	19	22	in	in	ADP
ajst-13990	19	23	this	this	DET
ajst-13990	19	24	study	study	NOUN
ajst-13990	19	25	contain	contain	VERB
ajst-13990	19	26	two	two	NUM
ajst-13990	19	27	different	different	ADJ
ajst-13990	19	28	feature	feature	NOUN
ajst-13990	19	29	categories	category	NOUN
ajst-13990	19	30	for	for	ADP
ajst-13990	19	31	urban	urban	ADJ
ajst-13990	19	32	and	and	CCONJ
ajst-13990	19	33	suburban	suburban	ADJ
ajst-13990	19	34	areas	area	NOUN
ajst-13990	19	35	to	to	PART
ajst-13990	19	36	satisfy	satisfy	VERB
ajst-13990	19	37	the	the	DET
ajst-13990	19	38	comparative	comparative	ADJ
ajst-13990	19	39	analyses	analysis	NOUN
ajst-13990	19	40	.	.	PUNCT
ajst-13990	20	1	the	the	DET
ajst-13990	20	2	multispectral	multispectral	ADJ
ajst-13990	20	3	images	image	NOUN
ajst-13990	20	4	with	with	ADP
ajst-13990	20	5	sub	sub	ADJ
ajst-13990	20	6	-	-	ADJ
ajst-13990	20	7	metre	metre	ADJ
ajst-13990	20	8	spatial	spatial	ADJ
ajst-13990	20	9	resolution	resolution	NOUN
ajst-13990	20	10	of	of	ADP
ajst-13990	20	11	gaofen-2	gaofen-2	NOUN
ajst-13990	20	12	are	be	AUX
ajst-13990	20	13	used	use	VERB
ajst-13990	20	14	as	as	ADP
ajst-13990	20	15	high	high	ADJ
ajst-13990	20	16	-	-	PUNCT
ajst-13990	20	17	resolution	resolution	NOUN
ajst-13990	20	18	multispectral	multispectral	ADJ
ajst-13990	20	19	hrms	hrm	NOUN
ajst-13990	20	20	images	image	NOUN
ajst-13990	20	21	,	,	PUNCT
ajst-13990	20	22	and	and	CCONJ
ajst-13990	20	23	the	the	DET
ajst-13990	20	24	sentinel-2	sentinel-2	ADJ
ajst-13990	20	25	images	image	NOUN
ajst-13990	20	26	with	with	ADP
ajst-13990	20	27	10	10	NUM
ajst-13990	20	28	m	m	PROPN
ajst-13990	20	29	spatial	spatial	ADJ
ajst-13990	20	30	resolution	resolution	NOUN
ajst-13990	20	31	in	in	ADP
ajst-13990	20	32	9	9	NUM
ajst-13990	20	33	bands	band	NOUN
ajst-13990	20	34	synthesised	synthesise	VERB
ajst-13990	20	35	from	from	ADP
ajst-13990	20	36	blue	blue	ADJ
ajst-13990	20	37	,	,	PUNCT
ajst-13990	20	38	green	green	ADJ
ajst-13990	20	39	,	,	PUNCT
ajst-13990	20	40	red	red	ADJ
ajst-13990	20	41	,	,	PUNCT
ajst-13990	20	42	red	red	ADJ
ajst-13990	20	43	-	-	PUNCT
ajst-13990	20	44	edge	edge	NOUN
ajst-13990	20	45	,	,	PUNCT
ajst-13990	20	46	nearinfrared	nearinfrare	VERB
ajst-13990	20	47	,	,	PUNCT
ajst-13990	20	48	and	and	CCONJ
ajst-13990	20	49	short	short	ADJ
ajst-13990	20	50	-	-	PUNCT
ajst-13990	20	51	wave	wave	NOUN
ajst-13990	20	52	infrared	infrare	VERB
ajst-13990	20	53	bands	band	NOUN
ajst-13990	20	54	are	be	AUX
ajst-13990	20	55	selected	select	VERB
ajst-13990	20	56	as	as	ADP
ajst-13990	20	57	lowresolution	lowresolution	NOUN
ajst-13990	20	58	multispectral	multispectral	ADJ
ajst-13990	20	59	lrms	lrm	NOUN
ajst-13990	20	60	images	image	NOUN
ajst-13990	20	61	.	.	PUNCT
ajst-13990	21	1	the	the	DET
ajst-13990	21	2	same	same	ADJ
ajst-13990	21	3	area	area	NOUN
ajst-13990	21	4	contains	contain	VERB
ajst-13990	21	5	one	one	NUM
ajst-13990	21	6	view	view	NOUN
ajst-13990	21	7	of	of	ADP
ajst-13990	21	8	gf-2	gf-2	X
ajst-13990	21	9	data	datum	NOUN
ajst-13990	21	10	and	and	CCONJ
ajst-13990	21	11	one	one	NUM
ajst-13990	21	12	view	view	NOUN
ajst-13990	21	13	of	of	ADP
ajst-13990	21	14	sentinel-2	sentinel-2	NUM
ajst-13990	21	15	data	datum	NOUN
ajst-13990	21	16	,	,	PUNCT
ajst-13990	21	17	and	and	CCONJ
ajst-13990	21	18	the	the	DET
ajst-13990	21	19	gf-2	gf-2	PRON
ajst-13990	21	20	data	datum	NOUN
ajst-13990	21	21	and	and	CCONJ
ajst-13990	21	22	sentinel-2	sentinel-2	ADJ
ajst-13990	21	23	data	datum	NOUN
ajst-13990	21	24	were	be	AUX
ajst-13990	21	25	ingested	ingest	VERB
ajst-13990	21	26	close	close	ADV
ajst-13990	21	27	to	to	ADP
ajst-13990	21	28	each	each	DET
ajst-13990	21	29	other	other	ADJ
ajst-13990	21	30	,	,	PUNCT
ajst-13990	21	31	but	but	CCONJ
ajst-13990	21	32	with	with	ADP
ajst-13990	21	33	a	a	DET
ajst-13990	21	34	few	few	ADJ
ajst-13990	21	35	days	day	NOUN
ajst-13990	21	36	difference	difference	NOUN
ajst-13990	21	37	in	in	ADP
ajst-13990	21	38	time	time	NOUN
ajst-13990	21	39	.	.	PUNCT
ajst-13990	22	1	the	the	DET
ajst-13990	22	2	urban	urban	ADJ
ajst-13990	22	3	data	datum	NOUN
ajst-13990	22	4	have	have	VERB
ajst-13990	22	5	many	many	ADJ
ajst-13990	22	6	and	and	CCONJ
ajst-13990	22	7	dense	dense	ADJ
ajst-13990	22	8	buildings	building	NOUN
ajst-13990	22	9	,	,	PUNCT
ajst-13990	22	10	which	which	PRON
ajst-13990	22	11	are	be	AUX
ajst-13990	22	12	highly	highly	ADV
ajst-13990	22	13	susceptible	susceptible	ADJ
ajst-13990	22	14	to	to	ADP
ajst-13990	22	15	shadows	shadow	NOUN
ajst-13990	22	16	on	on	ADP
ajst-13990	22	17	the	the	DET
ajst-13990	22	18	image	image	NOUN
ajst-13990	22	19	,	,	PUNCT
ajst-13990	22	20	and	and	CCONJ
ajst-13990	22	21	the	the	DET
ajst-13990	22	22	roads	road	NOUN
ajst-13990	22	23	are	be	AUX
ajst-13990	22	24	mainly	mainly	ADV
ajst-13990	22	25	tarmac	tarmac	VERB
ajst-13990	22	26	with	with	ADP
ajst-13990	22	27	a	a	DET
ajst-13990	22	28	small	small	ADJ
ajst-13990	22	29	amount	amount	NOUN
ajst-13990	22	30	of	of	ADP
ajst-13990	22	31	bare	bare	ADJ
ajst-13990	22	32	ground	ground	NOUN
ajst-13990	22	33	in	in	ADP
ajst-13990	22	34	the	the	DET
ajst-13990	22	35	upper	upper	ADJ
ajst-13990	22	36	right	right	ADJ
ajst-13990	22	37	corner	corner	NOUN
ajst-13990	22	38	of	of	ADP
ajst-13990	22	39	the	the	DET
ajst-13990	22	40	image	image	NOUN
ajst-13990	22	41	.	.	PUNCT
ajst-13990	23	1	the	the	DET
ajst-13990	23	2	suburban	suburban	ADJ
ajst-13990	23	3	data	datum	NOUN
ajst-13990	23	4	are	be	AUX
ajst-13990	23	5	mostly	mostly	ADV
ajst-13990	23	6	bare	bare	ADJ
ajst-13990	23	7	land	land	NOUN
ajst-13990	23	8	,	,	PUNCT
ajst-13990	23	9	arable	arable	ADJ
ajst-13990	23	10	land	land	NOUN
ajst-13990	23	11	and	and	CCONJ
ajst-13990	23	12	industrial	industrial	ADJ
ajst-13990	23	13	land	land	NOUN
ajst-13990	23	14	with	with	ADP
ajst-13990	23	15	a	a	DET
ajst-13990	23	16	large	large	ADJ
ajst-13990	23	17	number	number	NOUN
ajst-13990	23	18	of	of	ADP
ajst-13990	23	19	water	water	NOUN
ajst-13990	23	20	bodies	body	NOUN
ajst-13990	23	21	sporadically	sporadically	ADV
ajst-13990	23	22	distributed	distribute	VERB
ajst-13990	23	23	.	.	PUNCT
ajst-13990	24	1	the	the	DET
ajst-13990	24	2	fusion	fusion	NOUN
ajst-13990	24	3	raw	raw	ADJ
ajst-13990	24	4	data	datum	NOUN
ajst-13990	24	5	containing	contain	VERB
ajst-13990	24	6	different	different	ADJ
ajst-13990	24	7	rich	rich	ADJ
ajst-13990	24	8	features	feature	NOUN
ajst-13990	24	9	are	be	AUX
ajst-13990	24	10	selected	select	VERB
ajst-13990	24	11	to	to	PART
ajst-13990	24	12	better	well	ADV
ajst-13990	24	13	analyse	analyse	VERB
ajst-13990	24	14	the	the	DET
ajst-13990	24	15	robustness	robustness	NOUN
ajst-13990	24	16	of	of	ADP
ajst-13990	24	17	the	the	DET
ajst-13990	24	18	fusion	fusion	NOUN
ajst-13990	24	19	method	method	NOUN
ajst-13990	24	20	in	in	ADP
ajst-13990	24	21	different	different	ADJ
ajst-13990	24	22	scenarios	scenario	NOUN
ajst-13990	24	23	.	.	PUNCT
ajst-13990	25	1	the	the	DET
ajst-13990	25	2	true	true	ADJ
ajst-13990	25	3	colours	colour	NOUN
ajst-13990	25	4	of	of	ADP
ajst-13990	25	5	the	the	DET
ajst-13990	25	6	63	63	NUM
ajst-13990	25	7	study	study	NOUN
ajst-13990	25	8	area	area	NOUN
ajst-13990	25	9	are	be	AUX
ajst-13990	25	10	shown	show	VERB
ajst-13990	25	11	in	in	ADP
ajst-13990	25	12	fig	fig	NOUN
ajst-13990	25	13	.	.	PUNCT
ajst-13990	26	1	1	1	NUM
ajst-13990	26	2	,	,	PUNCT
ajst-13990	26	3	where	where	SCONJ
ajst-13990	26	4	figs	fig	NOUN
ajst-13990	26	5	.	.	PUNCT
ajst-13990	27	1	(	(	PUNCT
ajst-13990	27	2	a	a	X
ajst-13990	27	3	)	)	PUNCT
ajst-13990	27	4	and	and	CCONJ
ajst-13990	27	5	(	(	PUNCT
ajst-13990	27	6	b	b	X
ajst-13990	27	7	)	)	PUNCT
ajst-13990	27	8	correspond	correspond	NOUN
ajst-13990	27	9	to	to	ADP
ajst-13990	27	10	the	the	DET
ajst-13990	27	11	urban	urban	PROPN
ajst-13990	27	12	area	area	NOUN
ajst-13990	27	13	data	data	PROPN
ajst-13990	27	14	,	,	PUNCT
ajst-13990	27	15	which	which	PRON
ajst-13990	27	16	represent	represent	VERB
ajst-13990	27	17	the	the	DET
ajst-13990	27	18	highresolution	highresolution	NOUN
ajst-13990	27	19	gf-2	gf-2	X
ajst-13990	27	20	data	datum	NOUN
ajst-13990	27	21	and	and	CCONJ
ajst-13990	27	22	the	the	DET
ajst-13990	27	23	multispectral	multispectral	ADJ
ajst-13990	27	24	sentinel-2	sentinel-2	ADJ
ajst-13990	27	25	data	datum	NOUN
ajst-13990	27	26	,	,	PUNCT
ajst-13990	27	27	respectively	respectively	ADV
ajst-13990	27	28	;	;	PUNCT
ajst-13990	27	29	figs	fig	NOUN
ajst-13990	27	30	.	.	PUNCT
ajst-13990	28	1	(	(	PUNCT
ajst-13990	28	2	c	c	X
ajst-13990	28	3	)	)	PUNCT
ajst-13990	28	4	and	and	CCONJ
ajst-13990	28	5	(	(	PUNCT
ajst-13990	28	6	d	d	X
ajst-13990	28	7	)	)	PUNCT
ajst-13990	28	8	correspond	correspond	VERB
ajst-13990	28	9	to	to	ADP
ajst-13990	28	10	the	the	DET
ajst-13990	28	11	suburban	suburban	ADJ
ajst-13990	28	12	area	area	NOUN
ajst-13990	28	13	data	datum	NOUN
ajst-13990	28	14	.	.	PUNCT
ajst-13990	29	1	the	the	DET
ajst-13990	29	2	specific	specific	ADJ
ajst-13990	29	3	information	information	NOUN
ajst-13990	29	4	of	of	ADP
ajst-13990	29	5	the	the	DET
ajst-13990	29	6	experimental	experimental	ADJ
ajst-13990	29	7	data	datum	NOUN
ajst-13990	29	8	is	be	AUX
ajst-13990	29	9	shown	show	VERB
ajst-13990	29	10	in	in	ADP
ajst-13990	29	11	table	table	NOUN
ajst-13990	29	12	1	1	NUM
ajst-13990	29	13	.	.	PUNCT
ajst-13990	29	14	table	table	NOUN
ajst-13990	29	15	1	1	NUM
ajst-13990	29	16	.	.	PUNCT
ajst-13990	29	17	basic	basic	ADJ
ajst-13990	29	18	information	information	NOUN
ajst-13990	29	19	of	of	ADP
ajst-13990	29	20	experimental	experimental	ADJ
ajst-13990	29	21	data	data	PROPN
ajst-13990	29	22	area	area	PROPN
ajst-13990	29	23	satellite	satellite	NOUN
ajst-13990	29	24	pixel	pixel	PROPN
ajst-13990	29	25	size	size	NOUN
ajst-13990	29	26	date	date	NOUN
ajst-13990	29	27	num	num	PROPN
ajst-13990	29	28	urban	urban	ADJ
ajst-13990	29	29	gf-2	gf-2	ADJ
ajst-13990	30	1	3000	3000	NUM
ajst-13990	30	2	*	*	SYM
ajst-13990	30	3	3000	3000	NUM
ajst-13990	30	4	2017/12/13	2017/12/13	NOUN
ajst-13990	30	5	(	(	PUNCT
ajst-13990	30	6	a	a	X
ajst-13990	30	7	)	)	PUNCT
ajst-13990	30	8	sentinel-2	sentinel-2	NUM
ajst-13990	30	9	(	(	PUNCT
ajst-13990	30	10	s2	s2	PROPN
ajst-13990	30	11	)	)	PUNCT
ajst-13990	30	12	240	240	NUM
ajst-13990	30	13	*	*	SYM
ajst-13990	30	14	240	240	NUM
ajst-13990	30	15	2017/12/24	2017/12/24	NUM
ajst-13990	30	16	(	(	PUNCT
ajst-13990	30	17	b	b	NOUN
ajst-13990	30	18	)	)	PUNCT
ajst-13990	30	19	suburban	suburban	ADJ
ajst-13990	30	20	gf-2	gf-2	ADJ
ajst-13990	31	1	3000	3000	NUM
ajst-13990	31	2	*	*	SYM
ajst-13990	31	3	3000	3000	NUM
ajst-13990	31	4	2017/12/13	2017/12/13	NOUN
ajst-13990	31	5	(	(	PUNCT
ajst-13990	31	6	c	c	X
ajst-13990	31	7	)	)	PUNCT
ajst-13990	31	8	sentinel-2	sentinel-2	NUM
ajst-13990	31	9	(	(	PUNCT
ajst-13990	31	10	s2	s2	PROPN
ajst-13990	31	11	)	)	PUNCT
ajst-13990	31	12	240	240	NUM
ajst-13990	31	13	*	*	SYM
ajst-13990	31	14	240	240	NUM
ajst-13990	31	15	2017/12/24	2017/12/24	NUM
ajst-13990	31	16	(	(	PUNCT
ajst-13990	31	17	d	d	NOUN
ajst-13990	31	18	)	)	PUNCT
ajst-13990	31	19	figure	figure	NOUN
ajst-13990	31	20	1	1	NUM
ajst-13990	31	21	.	.	PUNCT
ajst-13990	31	22	true	true	ADJ
ajst-13990	31	23	colour	colour	NOUN
ajst-13990	31	24	image	image	NOUN
ajst-13990	31	25	in	in	ADP
ajst-13990	31	26	the	the	DET
ajst-13990	31	27	study	study	NOUN
ajst-13990	31	28	area	area	NOUN
ajst-13990	31	29	2.2	2.2	NUM
ajst-13990	31	30	.	.	PUNCT
ajst-13990	32	1	accuracy	accuracy	NOUN
ajst-13990	32	2	evaluation	evaluation	NOUN
ajst-13990	32	3	method	method	NOUN
ajst-13990	32	4	classical	classical	ADJ
ajst-13990	32	5	image	image	NOUN
ajst-13990	32	6	fusion	fusion	NOUN
ajst-13990	32	7	evaluation	evaluation	NOUN
ajst-13990	32	8	methods	method	NOUN
ajst-13990	32	9	are	be	AUX
ajst-13990	32	10	mainly	mainly	ADV
ajst-13990	32	11	divided	divide	VERB
ajst-13990	32	12	into	into	ADP
ajst-13990	32	13	two	two	NUM
ajst-13990	32	14	kinds	kind	NOUN
ajst-13990	32	15	:	:	PUNCT
ajst-13990	32	16	subjective	subjective	ADJ
ajst-13990	32	17	evaluation	evaluation	NOUN
ajst-13990	32	18	and	and	CCONJ
ajst-13990	32	19	objective	objective	ADJ
ajst-13990	32	20	evaluation	evaluation	NOUN
ajst-13990	32	21	,	,	PUNCT
ajst-13990	32	22	respectively	respectively	ADV
ajst-13990	32	23	,	,	PUNCT
ajst-13990	32	24	from	from	ADP
ajst-13990	32	25	the	the	DET
ajst-13990	32	26	visual	visual	ADJ
ajst-13990	32	27	and	and	CCONJ
ajst-13990	32	28	index	index	NOUN
ajst-13990	32	29	numerical	numerical	ADJ
ajst-13990	32	30	examination	examination	NOUN
ajst-13990	32	31	of	of	ADP
ajst-13990	32	32	the	the	DET
ajst-13990	32	33	fusion	fusion	NOUN
ajst-13990	32	34	results	result	NOUN
ajst-13990	32	35	of	of	ADP
ajst-13990	32	36	the	the	DET
ajst-13990	32	37	advantages	advantage	NOUN
ajst-13990	32	38	and	and	CCONJ
ajst-13990	32	39	disadvantages	disadvantage	NOUN
ajst-13990	32	40	of	of	ADP
ajst-13990	32	41	the	the	DET
ajst-13990	32	42	two	two	NUM
ajst-13990	32	43	evaluation	evaluation	NOUN
ajst-13990	32	44	modes	mode	NOUN
ajst-13990	32	45	complementary	complementary	ADJ
ajst-13990	32	46	integrated	integrate	VERB
ajst-13990	32	47	measure	measure	NOUN
ajst-13990	32	48	of	of	ADP
ajst-13990	32	49	the	the	DET
ajst-13990	32	50	resultant	resultant	NOUN
ajst-13990	32	51	image	image	NOUN
ajst-13990	32	52	quality	quality	NOUN
ajst-13990	32	53	.	.	PUNCT
ajst-13990	33	1	(	(	PUNCT
ajst-13990	33	2	1	1	X
ajst-13990	33	3	)	)	PUNCT
ajst-13990	33	4	subjective	subjective	ADJ
ajst-13990	33	5	evaluation	evaluation	NOUN
ajst-13990	33	6	methods	method	NOUN
ajst-13990	33	7	for	for	ADP
ajst-13990	33	8	multi	multi	ADJ
ajst-13990	33	9	-	-	ADJ
ajst-13990	33	10	source	source	ADJ
ajst-13990	33	11	image	image	NOUN
ajst-13990	33	12	fusion	fusion	NOUN
ajst-13990	33	13	the	the	DET
ajst-13990	33	14	subjective	subjective	ADJ
ajst-13990	33	15	evaluation	evaluation	NOUN
ajst-13990	33	16	of	of	ADP
ajst-13990	33	17	the	the	DET
ajst-13990	33	18	fused	fuse	VERB
ajst-13990	33	19	image	image	NOUN
ajst-13990	33	20	usually	usually	ADV
ajst-13990	33	21	selects	select	VERB
ajst-13990	33	22	part	part	NOUN
ajst-13990	33	23	of	of	ADP
ajst-13990	33	24	the	the	DET
ajst-13990	33	25	fusion	fusion	NOUN
ajst-13990	33	26	result	result	NOUN
ajst-13990	33	27	to	to	PART
ajst-13990	33	28	be	be	AUX
ajst-13990	33	29	displayed	display	VERB
ajst-13990	33	30	in	in	ADP
ajst-13990	33	31	true	true	ADJ
ajst-13990	33	32	colour	colour	NOUN
ajst-13990	33	33	or	or	CCONJ
ajst-13990	33	34	pseudo	pseudo	NOUN
ajst-13990	33	35	-	-	NOUN
ajst-13990	33	36	colour	colour	NOUN
ajst-13990	33	37	,	,	PUNCT
ajst-13990	33	38	and	and	CCONJ
ajst-13990	33	39	then	then	ADV
ajst-13990	33	40	the	the	DET
ajst-13990	33	41	human	human	ADJ
ajst-13990	33	42	eye	eye	NOUN
ajst-13990	33	43	is	be	AUX
ajst-13990	33	44	used	use	VERB
ajst-13990	33	45	to	to	PART
ajst-13990	33	46	compare	compare	VERB
ajst-13990	33	47	and	and	CCONJ
ajst-13990	33	48	observe	observe	VERB
ajst-13990	33	49	the	the	DET
ajst-13990	33	50	fusion	fusion	NOUN
ajst-13990	33	51	effect	effect	NOUN
ajst-13990	33	52	of	of	ADP
ajst-13990	33	53	different	different	ADJ
ajst-13990	33	54	methods	method	NOUN
ajst-13990	33	55	or	or	CCONJ
ajst-13990	33	56	different	different	ADJ
ajst-13990	33	57	parameters	parameter	NOUN
ajst-13990	33	58	,	,	PUNCT
ajst-13990	33	59	and	and	CCONJ
ajst-13990	33	60	the	the	DET
ajst-13990	33	61	observer	observer	NOUN
ajst-13990	33	62	evaluates	evaluate	VERB
ajst-13990	33	63	the	the	DET
ajst-13990	33	64	subjective	subjective	ADJ
ajst-13990	33	65	evaluation	evaluation	NOUN
ajst-13990	33	66	through	through	ADP
ajst-13990	33	67	the	the	DET
ajst-13990	33	68	aspects	aspect	NOUN
ajst-13990	33	69	of	of	ADP
ajst-13990	33	70	whether	whether	SCONJ
ajst-13990	33	71	the	the	DET
ajst-13990	33	72	image	image	NOUN
ajst-13990	33	73	features	feature	NOUN
ajst-13990	33	74	are	be	AUX
ajst-13990	33	75	distinctive	distinctive	ADJ
ajst-13990	33	76	or	or	CCONJ
ajst-13990	33	77	not	not	PART
ajst-13990	33	78	,	,	PUNCT
ajst-13990	33	79	whether	whether	SCONJ
ajst-13990	33	80	the	the	DET
ajst-13990	33	81	texture	texture	NOUN
ajst-13990	33	82	is	be	AUX
ajst-13990	33	83	clear	clear	ADJ
ajst-13990	33	84	or	or	CCONJ
ajst-13990	33	85	not	not	PART
ajst-13990	33	86	,	,	PUNCT
ajst-13990	33	87	whether	whether	SCONJ
ajst-13990	33	88	the	the	DET
ajst-13990	33	89	image	image	NOUN
ajst-13990	33	90	is	be	AUX
ajst-13990	33	91	distorted	distort	VERB
ajst-13990	33	92	or	or	CCONJ
ajst-13990	33	93	not	not	PART
ajst-13990	33	94	,	,	PUNCT
ajst-13990	33	95	and	and	CCONJ
ajst-13990	33	96	whether	whether	SCONJ
ajst-13990	33	97	the	the	DET
ajst-13990	33	98	degree	degree	NOUN
ajst-13990	33	99	of	of	ADP
ajst-13990	33	100	loss	loss	NOUN
ajst-13990	33	101	of	of	ADP
ajst-13990	33	102	image	image	NOUN
ajst-13990	33	103	information	information	NOUN
ajst-13990	33	104	is	be	AUX
ajst-13990	33	105	lost	lose	VERB
ajst-13990	33	106	or	or	CCONJ
ajst-13990	33	107	not	not	PART
ajst-13990	33	108	,	,	PUNCT
ajst-13990	33	109	etc	etc	X
ajst-13990	33	110	.	.	X
ajst-13990	34	1	the	the	DET
ajst-13990	34	2	advantage	advantage	NOUN
ajst-13990	34	3	of	of	ADP
ajst-13990	34	4	this	this	DET
ajst-13990	34	5	method	method	NOUN
ajst-13990	34	6	lies	lie	VERB
ajst-13990	34	7	in	in	ADP
ajst-13990	34	8	the	the	DET
ajst-13990	34	9	fact	fact	NOUN
ajst-13990	34	10	that	that	SCONJ
ajst-13990	34	11	the	the	DET
ajst-13990	34	12	observer	observer	NOUN
ajst-13990	34	13	can	can	AUX
ajst-13990	34	14	give	give	VERB
ajst-13990	34	15	the	the	DET
ajst-13990	34	16	good	good	ADJ
ajst-13990	34	17	or	or	CCONJ
ajst-13990	34	18	bad	bad	ADJ
ajst-13990	34	19	image	image	NOUN
ajst-13990	34	20	fusion	fusion	NOUN
ajst-13990	34	21	quality	quality	NOUN
ajst-13990	34	22	very	very	ADV
ajst-13990	34	23	quickly	quickly	ADV
ajst-13990	34	24	and	and	CCONJ
ajst-13990	34	25	easily	easily	ADV
ajst-13990	34	26	.	.	PUNCT
ajst-13990	35	1	the	the	DET
ajst-13990	35	2	advantage	advantage	NOUN
ajst-13990	35	3	is	be	AUX
ajst-13990	35	4	that	that	SCONJ
ajst-13990	35	5	the	the	DET
ajst-13990	35	6	observer	observer	NOUN
ajst-13990	35	7	can	can	AUX
ajst-13990	35	8	easily	easily	ADV
ajst-13990	35	9	and	and	CCONJ
ajst-13990	35	10	quickly	quickly	ADV
ajst-13990	35	11	give	give	VERB
ajst-13990	35	12	a	a	DET
ajst-13990	35	13	good	good	ADJ
ajst-13990	35	14	or	or	CCONJ
ajst-13990	35	15	bad	bad	ADJ
ajst-13990	35	16	image	image	NOUN
ajst-13990	35	17	fusion	fusion	NOUN
ajst-13990	35	18	quality	quality	NOUN
ajst-13990	35	19	,	,	PUNCT
ajst-13990	35	20	which	which	PRON
ajst-13990	35	21	is	be	AUX
ajst-13990	35	22	very	very	ADV
ajst-13990	35	23	intuitive	intuitive	ADJ
ajst-13990	35	24	in	in	ADP
ajst-13990	35	25	the	the	DET
ajst-13990	35	26	evaluation	evaluation	NOUN
ajst-13990	35	27	of	of	ADP
ajst-13990	35	28	the	the	DET
ajst-13990	35	29	quality	quality	NOUN
ajst-13990	35	30	of	of	ADP
ajst-13990	35	31	near	near	ADV
ajst-13990	35	32	-	-	PUNCT
ajst-13990	35	33	infrared	infrared	ADJ
ajst-13990	35	34	and	and	CCONJ
ajst-13990	35	35	visible	visible	ADJ
ajst-13990	35	36	image	image	NOUN
ajst-13990	35	37	fusion	fusion	NOUN
ajst-13990	35	38	.	.	PUNCT
ajst-13990	36	1	this	this	DET
ajst-13990	36	2	evaluation	evaluation	NOUN
ajst-13990	36	3	method	method	NOUN
ajst-13990	36	4	is	be	AUX
ajst-13990	36	5	more	more	ADV
ajst-13990	36	6	intuitive	intuitive	ADJ
ajst-13990	36	7	and	and	CCONJ
ajst-13990	36	8	does	do	AUX
ajst-13990	36	9	not	not	PART
ajst-13990	36	10	rely	rely	VERB
ajst-13990	36	11	on	on	ADP
ajst-13990	36	12	numerical	numerical	ADJ
ajst-13990	36	13	calculations	calculation	NOUN
ajst-13990	36	14	,	,	PUNCT
ajst-13990	36	15	but	but	CCONJ
ajst-13990	36	16	it	it	PRON
ajst-13990	36	17	requires	require	VERB
ajst-13990	36	18	that	that	SCONJ
ajst-13990	36	19	the	the	DET
ajst-13990	36	20	observer	observer	NOUN
ajst-13990	36	21	needs	need	VERB
ajst-13990	36	22	to	to	PART
ajst-13990	36	23	have	have	VERB
ajst-13990	36	24	enough	enough	ADJ
ajst-13990	36	25	experience	experience	NOUN
ajst-13990	36	26	in	in	ADP
ajst-13990	36	27	order	order	NOUN
ajst-13990	36	28	to	to	PART
ajst-13990	36	29	give	give	VERB
ajst-13990	36	30	a	a	DET
ajst-13990	36	31	precise	precise	ADJ
ajst-13990	36	32	evaluation	evaluation	NOUN
ajst-13990	36	33	,	,	PUNCT
ajst-13990	36	34	and	and	CCONJ
ajst-13990	36	35	it	it	PRON
ajst-13990	36	36	is	be	AUX
ajst-13990	36	37	not	not	PART
ajst-13990	36	38	applicable	applicable	ADJ
ajst-13990	36	39	to	to	ADP
ajst-13990	36	40	large	large	ADJ
ajst-13990	36	41	-	-	PUNCT
ajst-13990	36	42	scale	scale	NOUN
ajst-13990	36	43	image	image	NOUN
ajst-13990	36	44	processing	processing	NOUN
ajst-13990	36	45	situations	situation	NOUN
ajst-13990	36	46	because	because	SCONJ
ajst-13990	36	47	of	of	ADP
ajst-13990	36	48	the	the	DET
ajst-13990	36	49	low	low	ADJ
ajst-13990	36	50	efficiency	efficiency	NOUN
ajst-13990	36	51	of	of	ADP
ajst-13990	36	52	64	64	NUM
ajst-13990	36	53	the	the	DET
ajst-13990	36	54	human	human	ADJ
ajst-13990	36	55	eye	eye	NOUN
ajst-13990	36	56	's	's	PART
ajst-13990	36	57	visual	visual	ADJ
ajst-13990	36	58	comparison	comparison	NOUN
ajst-13990	36	59	.	.	PUNCT
ajst-13990	37	1	in	in	ADP
ajst-13990	37	2	addition	addition	NOUN
ajst-13990	37	3	,	,	PUNCT
ajst-13990	37	4	since	since	SCONJ
ajst-13990	37	5	the	the	DET
ajst-13990	37	6	human	human	PROPN
ajst-13990	37	7	eye	eye	PROPN
ajst-13990	37	8	visual	visual	ADJ
ajst-13990	37	9	system	system	NOUN
ajst-13990	37	10	judgement	judgement	NOUN
ajst-13990	37	11	is	be	AUX
ajst-13990	37	12	not	not	PART
ajst-13990	37	13	very	very	ADV
ajst-13990	37	14	stable	stable	ADJ
ajst-13990	37	15	,	,	PUNCT
ajst-13990	37	16	this	this	PRON
ajst-13990	37	17	also	also	ADV
ajst-13990	37	18	affects	affect	VERB
ajst-13990	37	19	the	the	DET
ajst-13990	37	20	accuracy	accuracy	NOUN
ajst-13990	37	21	of	of	ADP
ajst-13990	37	22	subjective	subjective	ADJ
ajst-13990	37	23	visual	visual	ADJ
ajst-13990	37	24	evaluation	evaluation	NOUN
ajst-13990	37	25	from	from	ADP
ajst-13990	37	26	time	time	NOUN
ajst-13990	37	27	to	to	ADP
ajst-13990	37	28	time	time	NOUN
ajst-13990	37	29	.	.	PUNCT
ajst-13990	38	1	(	(	PUNCT
ajst-13990	38	2	2	2	X
ajst-13990	38	3	)	)	PUNCT
ajst-13990	38	4	objective	objective	ADJ
ajst-13990	38	5	evaluation	evaluation	NOUN
ajst-13990	38	6	index	index	NOUN
ajst-13990	38	7	for	for	ADP
ajst-13990	38	8	multi	multi	ADJ
ajst-13990	38	9	-	-	ADJ
ajst-13990	38	10	source	source	ADJ
ajst-13990	38	11	image	image	NOUN
ajst-13990	38	12	fusion	fusion	NOUN
ajst-13990	38	13	although	although	SCONJ
ajst-13990	38	14	the	the	DET
ajst-13990	38	15	subjective	subjective	ADJ
ajst-13990	38	16	evaluation	evaluation	NOUN
ajst-13990	38	17	method	method	NOUN
ajst-13990	38	18	is	be	AUX
ajst-13990	38	19	more	more	ADV
ajst-13990	38	20	intuitive	intuitive	ADJ
ajst-13990	38	21	,	,	PUNCT
ajst-13990	38	22	it	it	PRON
ajst-13990	38	23	is	be	AUX
ajst-13990	38	24	subject	subject	ADJ
ajst-13990	38	25	to	to	ADP
ajst-13990	38	26	the	the	DET
ajst-13990	38	27	interference	interference	NOUN
ajst-13990	38	28	of	of	ADP
ajst-13990	38	29	human	human	ADJ
ajst-13990	38	30	subjective	subjective	ADJ
ajst-13990	38	31	factors	factor	NOUN
ajst-13990	38	32	,	,	PUNCT
ajst-13990	38	33	and	and	CCONJ
ajst-13990	38	34	it	it	PRON
ajst-13990	38	35	is	be	AUX
ajst-13990	38	36	difficult	difficult	ADJ
ajst-13990	38	37	for	for	SCONJ
ajst-13990	38	38	the	the	DET
ajst-13990	38	39	observer	observer	NOUN
ajst-13990	38	40	to	to	PART
ajst-13990	38	41	grasp	grasp	VERB
ajst-13990	38	42	the	the	DET
ajst-13990	38	43	evaluation	evaluation	NOUN
ajst-13990	38	44	standard	standard	NOUN
ajst-13990	38	45	,	,	PUNCT
ajst-13990	38	46	so	so	CCONJ
ajst-13990	38	47	the	the	DET
ajst-13990	38	48	subjective	subjective	ADJ
ajst-13990	38	49	evaluation	evaluation	NOUN
ajst-13990	38	50	is	be	AUX
ajst-13990	38	51	one	one	NUM
ajst-13990	38	52	-	-	PUNCT
ajst-13990	38	53	sided	sided	ADJ
ajst-13990	38	54	and	and	CCONJ
ajst-13990	38	55	unstable	unstable	ADJ
ajst-13990	38	56	.	.	PUNCT
ajst-13990	39	1	the	the	DET
ajst-13990	39	2	objective	objective	ADJ
ajst-13990	39	3	evaluation	evaluation	NOUN
ajst-13990	39	4	method	method	NOUN
ajst-13990	39	5	is	be	AUX
ajst-13990	39	6	different	different	ADJ
ajst-13990	39	7	from	from	ADP
ajst-13990	39	8	the	the	DET
ajst-13990	39	9	subjective	subjective	ADJ
ajst-13990	39	10	evaluation	evaluation	NOUN
ajst-13990	39	11	method	method	NOUN
ajst-13990	39	12	,	,	PUNCT
ajst-13990	39	13	which	which	PRON
ajst-13990	39	14	can	can	AUX
ajst-13990	39	15	reflect	reflect	VERB
ajst-13990	39	16	the	the	DET
ajst-13990	39	17	overall	overall	ADJ
ajst-13990	39	18	quality	quality	NOUN
ajst-13990	39	19	of	of	ADP
ajst-13990	39	20	the	the	DET
ajst-13990	39	21	image	image	NOUN
ajst-13990	39	22	fusion	fusion	NOUN
ajst-13990	39	23	through	through	ADP
ajst-13990	39	24	the	the	DET
ajst-13990	39	25	statistical	statistical	ADJ
ajst-13990	39	26	value	value	NOUN
ajst-13990	39	27	of	of	ADP
ajst-13990	39	28	the	the	DET
ajst-13990	39	29	relevant	relevant	ADJ
ajst-13990	39	30	indicators	indicator	NOUN
ajst-13990	39	31	,	,	PUNCT
ajst-13990	39	32	can	can	AUX
ajst-13990	39	33	overcome	overcome	VERB
ajst-13990	39	34	the	the	DET
ajst-13990	39	35	interference	interference	NOUN
ajst-13990	39	36	of	of	ADP
ajst-13990	39	37	the	the	DET
ajst-13990	39	38	visual	visual	ADJ
ajst-13990	39	39	factors	factor	NOUN
ajst-13990	39	40	of	of	ADP
ajst-13990	39	41	the	the	DET
ajst-13990	39	42	observers	observer	NOUN
ajst-13990	39	43	,	,	PUNCT
ajst-13990	39	44	and	and	CCONJ
ajst-13990	39	45	has	have	VERB
ajst-13990	39	46	the	the	DET
ajst-13990	39	47	advantages	advantage	NOUN
ajst-13990	39	48	of	of	ADP
ajst-13990	39	49	quantitative	quantitative	ADJ
ajst-13990	39	50	and	and	CCONJ
ajst-13990	39	51	repeatable	repeatable	ADJ
ajst-13990	39	52	.	.	PUNCT
ajst-13990	40	1	therefore	therefore	ADV
ajst-13990	40	2	,	,	PUNCT
ajst-13990	40	3	the	the	DET
ajst-13990	40	4	qualitative	qualitative	ADJ
ajst-13990	40	5	analysis	analysis	NOUN
ajst-13990	40	6	of	of	ADP
ajst-13990	40	7	subjective	subjective	ADJ
ajst-13990	40	8	evaluation	evaluation	NOUN
ajst-13990	40	9	and	and	CCONJ
ajst-13990	40	10	the	the	DET
ajst-13990	40	11	quantitative	quantitative	ADJ
ajst-13990	40	12	analysis	analysis	NOUN
ajst-13990	40	13	of	of	ADP
ajst-13990	40	14	objective	objective	ADJ
ajst-13990	40	15	evaluation	evaluation	NOUN
ajst-13990	40	16	should	should	AUX
ajst-13990	40	17	be	be	AUX
ajst-13990	40	18	combined	combine	VERB
ajst-13990	40	19	to	to	PART
ajst-13990	40	20	construct	construct	VERB
ajst-13990	40	21	the	the	DET
ajst-13990	40	22	image	image	NOUN
ajst-13990	40	23	fusion	fusion	NOUN
ajst-13990	40	24	evaluation	evaluation	NOUN
ajst-13990	40	25	index	index	NOUN
ajst-13990	40	26	.	.	PUNCT
ajst-13990	41	1	the	the	DET
ajst-13990	41	2	objective	objective	ADJ
ajst-13990	41	3	evaluation	evaluation	NOUN
ajst-13990	41	4	methods	method	NOUN
ajst-13990	41	5	are	be	AUX
ajst-13990	41	6	generally	generally	ADV
ajst-13990	41	7	divided	divide	VERB
ajst-13990	41	8	into	into	ADP
ajst-13990	41	9	those	those	PRON
ajst-13990	41	10	that	that	PRON
ajst-13990	41	11	do	do	AUX
ajst-13990	41	12	not	not	PART
ajst-13990	41	13	require	require	VERB
ajst-13990	41	14	reference	reference	NOUN
ajst-13990	41	15	images	image	NOUN
ajst-13990	41	16	and	and	CCONJ
ajst-13990	41	17	those	those	PRON
ajst-13990	41	18	that	that	PRON
ajst-13990	41	19	require	require	VERB
ajst-13990	41	20	reference	reference	NOUN
ajst-13990	41	21	images[15	images[15	NOUN
ajst-13990	41	22	]	]	PUNCT
ajst-13990	41	23	,	,	PUNCT
ajst-13990	41	24	for	for	SCONJ
ajst-13990	41	25	the	the	DET
ajst-13990	41	26	former	former	ADJ
ajst-13990	41	27	,	,	PUNCT
ajst-13990	41	28	three	three	NUM
ajst-13990	41	29	indexes	index	NOUN
ajst-13990	41	30	of	of	ADP
ajst-13990	41	31	band	band	NOUN
ajst-13990	41	32	grey	grey	PROPN
ajst-13990	41	33	mean	mean	VERB
ajst-13990	41	34	,	,	PUNCT
ajst-13990	41	35	information	information	NOUN
ajst-13990	41	36	entropy	entropy	NOUN
ajst-13990	41	37	and	and	CCONJ
ajst-13990	41	38	mean	mean	VERB
ajst-13990	41	39	gradient	gradient	NOUN
ajst-13990	41	40	are	be	AUX
ajst-13990	41	41	used	use	VERB
ajst-13990	41	42	,	,	PUNCT
ajst-13990	41	43	and	and	CCONJ
ajst-13990	41	44	for	for	ADP
ajst-13990	41	45	the	the	DET
ajst-13990	41	46	latter	latter	ADJ
ajst-13990	41	47	,	,	PUNCT
ajst-13990	41	48	three	three	NUM
ajst-13990	41	49	indexes	index	NOUN
ajst-13990	41	50	of	of	ADP
ajst-13990	41	51	spectral	spectral	ADJ
ajst-13990	41	52	angle	angle	NOUN
ajst-13990	41	53	sam	sam	PROPN
ajst-13990	41	54	,	,	PUNCT
ajst-13990	41	55	relative	relative	ADJ
ajst-13990	41	56	overall	overall	ADJ
ajst-13990	41	57	dimensionless	dimensionless	NOUN
ajst-13990	41	58	error	error	NOUN
ajst-13990	41	59	ergas	ergas	NOUN
ajst-13990	41	60	and	and	CCONJ
ajst-13990	41	61	general	general	ADJ
ajst-13990	41	62	image	image	NOUN
ajst-13990	41	63	quality	quality	NOUN
ajst-13990	41	64	index	index	NOUN
ajst-13990	41	65	q4	q4	PROPN
ajst-13990	41	66	are	be	AUX
ajst-13990	41	67	selected	select	VERB
ajst-13990	41	68	,	,	PUNCT
ajst-13990	41	69	as	as	SCONJ
ajst-13990	41	70	shown	show	VERB
ajst-13990	41	71	in	in	ADP
ajst-13990	41	72	table	table	NOUN
ajst-13990	41	73	2	2	NUM
ajst-13990	41	74	.	.	PUNCT
ajst-13990	42	1	among	among	ADP
ajst-13990	42	2	them	they	PRON
ajst-13990	42	3	,	,	PUNCT
ajst-13990	42	4	the	the	DET
ajst-13990	42	5	mean	mean	ADJ
ajst-13990	42	6	grey	grey	ADJ
ajst-13990	42	7	scale	scale	NOUN
ajst-13990	42	8	reflects	reflect	VERB
ajst-13990	42	9	the	the	DET
ajst-13990	42	10	overall	overall	ADJ
ajst-13990	42	11	brightness	brightness	NOUN
ajst-13990	42	12	of	of	ADP
ajst-13990	42	13	the	the	DET
ajst-13990	42	14	image	image	NOUN
ajst-13990	42	15	,	,	PUNCT
ajst-13990	42	16	if	if	SCONJ
ajst-13990	42	17	the	the	DET
ajst-13990	42	18	fusion	fusion	NOUN
ajst-13990	42	19	result	result	NOUN
ajst-13990	42	20	has	have	VERB
ajst-13990	42	21	a	a	DET
ajst-13990	42	22	large	large	ADJ
ajst-13990	42	23	difference	difference	NOUN
ajst-13990	42	24	with	with	ADP
ajst-13990	42	25	the	the	DET
ajst-13990	42	26	average	average	ADJ
ajst-13990	42	27	value	value	NOUN
ajst-13990	42	28	of	of	ADP
ajst-13990	42	29	the	the	DET
ajst-13990	42	30	reference	reference	NOUN
ajst-13990	42	31	image	image	NOUN
ajst-13990	42	32	,	,	PUNCT
ajst-13990	42	33	it	it	PRON
ajst-13990	42	34	indicates	indicate	VERB
ajst-13990	42	35	that	that	SCONJ
ajst-13990	42	36	the	the	DET
ajst-13990	42	37	method	method	NOUN
ajst-13990	42	38	introduces	introduce	VERB
ajst-13990	42	39	a	a	DET
ajst-13990	42	40	large	large	ADJ
ajst-13990	42	41	low	low	ADJ
ajst-13990	42	42	-	-	PUNCT
ajst-13990	42	43	frequency	frequency	NOUN
ajst-13990	42	44	signal	signal	NOUN
ajst-13990	42	45	distortion	distortion	NOUN
ajst-13990	42	46	.	.	PUNCT
ajst-13990	43	1	the	the	DET
ajst-13990	43	2	information	information	NOUN
ajst-13990	43	3	entropy	entropy	NOUN
ajst-13990	43	4	reflects	reflect	VERB
ajst-13990	43	5	the	the	DET
ajst-13990	43	6	information	information	NOUN
ajst-13990	43	7	increase	increase	NOUN
ajst-13990	43	8	of	of	ADP
ajst-13990	43	9	the	the	DET
ajst-13990	43	10	fused	fuse	VERB
ajst-13990	43	11	image	image	NOUN
ajst-13990	43	12	,	,	PUNCT
ajst-13990	43	13	the	the	PRON
ajst-13990	43	14	larger	large	ADJ
ajst-13990	43	15	the	the	DET
ajst-13990	43	16	entropy	entropy	NOUN
ajst-13990	43	17	,	,	PUNCT
ajst-13990	43	18	the	the	PRON
ajst-13990	43	19	larger	large	ADJ
ajst-13990	43	20	the	the	DET
ajst-13990	43	21	information	information	NOUN
ajst-13990	43	22	,	,	PUNCT
ajst-13990	43	23	and	and	CCONJ
ajst-13990	43	24	the	the	PRON
ajst-13990	43	25	richer	rich	ADJ
ajst-13990	43	26	the	the	DET
ajst-13990	43	27	detail	detail	NOUN
ajst-13990	43	28	information	information	NOUN
ajst-13990	43	29	;	;	PUNCT
ajst-13990	43	30	the	the	DET
ajst-13990	43	31	average	average	ADJ
ajst-13990	43	32	gradient	gradient	NOUN
ajst-13990	43	33	reflects	reflect	VERB
ajst-13990	43	34	the	the	DET
ajst-13990	43	35	spatial	spatial	ADJ
ajst-13990	43	36	detail	detail	NOUN
ajst-13990	43	37	integration	integration	NOUN
ajst-13990	43	38	,	,	PUNCT
ajst-13990	43	39	which	which	PRON
ajst-13990	43	40	can	can	AUX
ajst-13990	43	41	also	also	ADV
ajst-13990	43	42	reflect	reflect	VERB
ajst-13990	43	43	the	the	DET
ajst-13990	43	44	overall	overall	ADJ
ajst-13990	43	45	level	level	NOUN
ajst-13990	43	46	of	of	ADP
ajst-13990	43	47	the	the	DET
ajst-13990	43	48	image	image	NOUN
ajst-13990	43	49	edge	edge	NOUN
ajst-13990	43	50	strength	strength	NOUN
ajst-13990	43	51	,	,	PUNCT
ajst-13990	43	52	the	the	PRON
ajst-13990	43	53	larger	large	ADJ
ajst-13990	43	54	the	the	DET
ajst-13990	43	55	average	average	ADJ
ajst-13990	43	56	gradient	gradient	NOUN
ajst-13990	43	57	,	,	PUNCT
ajst-13990	43	58	the	the	PRON
ajst-13990	43	59	stronger	strong	ADJ
ajst-13990	43	60	the	the	DET
ajst-13990	43	61	sharpening	sharpen	VERB
ajst-13990	43	62	effect	effect	NOUN
ajst-13990	43	63	of	of	ADP
ajst-13990	43	64	the	the	DET
ajst-13990	43	65	image	image	NOUN
ajst-13990	43	66	,	,	PUNCT
ajst-13990	43	67	and	and	CCONJ
ajst-13990	43	68	the	the	PRON
ajst-13990	43	69	higher	high	ADJ
ajst-13990	43	70	the	the	DET
ajst-13990	43	71	local	local	ADJ
ajst-13990	43	72	contrast	contrast	NOUN
ajst-13990	43	73	;	;	PUNCT
ajst-13990	43	74	the	the	DET
ajst-13990	43	75	sam	sam	PROPN
ajst-13990	43	76	and	and	CCONJ
ajst-13990	43	77	the	the	DET
ajst-13990	43	78	ergas	ergas	NOUN
ajst-13990	43	79	are	be	AUX
ajst-13990	43	80	the	the	DET
ajst-13990	43	81	more	more	ADV
ajst-13990	43	82	common	common	ADJ
ajst-13990	43	83	response	response	NOUN
ajst-13990	43	84	to	to	ADP
ajst-13990	43	85	the	the	DET
ajst-13990	43	86	spectral	spectral	ADJ
ajst-13990	43	87	retention	retention	NOUN
ajst-13990	43	88	ability	ability	NOUN
ajst-13990	43	89	of	of	ADP
ajst-13990	43	90	the	the	DET
ajst-13990	43	91	index	index	NOUN
ajst-13990	43	92	;	;	PUNCT
ajst-13990	43	93	the	the	PRON
ajst-13990	43	94	closer	close	ADV
ajst-13990	43	95	the	the	DET
ajst-13990	43	96	sam	sam	PROPN
ajst-13990	43	97	is	be	AUX
ajst-13990	43	98	to	to	ADP
ajst-13990	43	99	0	0	NUM
ajst-13990	43	100	,	,	PUNCT
ajst-13990	43	101	the	the	PRON
ajst-13990	43	102	stronger	strong	ADJ
ajst-13990	43	103	the	the	DET
ajst-13990	43	104	spectral	spectral	ADJ
ajst-13990	43	105	retention	retention	NOUN
ajst-13990	43	106	ability	ability	NOUN
ajst-13990	43	107	is	be	AUX
ajst-13990	43	108	;	;	PUNCT
ajst-13990	43	109	the	the	PRON
ajst-13990	43	110	closer	close	ADV
ajst-13990	43	111	the	the	DET
ajst-13990	43	112	ergas	ergas	NOUN
ajst-13990	43	113	is	be	AUX
ajst-13990	43	114	to	to	ADP
ajst-13990	43	115	0	0	NUM
ajst-13990	43	116	,	,	PUNCT
ajst-13990	43	117	the	the	PRON
ajst-13990	43	118	stronger	strong	ADJ
ajst-13990	43	119	the	the	DET
ajst-13990	43	120	spectral	spectral	ADJ
ajst-13990	43	121	retention	retention	NOUN
ajst-13990	43	122	ability	ability	NOUN
ajst-13990	43	123	is	be	AUX
ajst-13990	43	124	.	.	PUNCT
ajst-13990	44	1	the	the	PRON
ajst-13990	44	2	closer	close	ADV
ajst-13990	44	3	the	the	DET
ajst-13990	44	4	sam	sam	PROPN
ajst-13990	44	5	value	value	NOUN
ajst-13990	44	6	is	be	AUX
ajst-13990	44	7	to	to	ADP
ajst-13990	44	8	0	0	NUM
ajst-13990	44	9	,	,	PUNCT
ajst-13990	44	10	the	the	PRON
ajst-13990	44	11	stronger	strong	ADJ
ajst-13990	44	12	the	the	DET
ajst-13990	44	13	spectral	spectral	ADJ
ajst-13990	44	14	retention	retention	NOUN
ajst-13990	44	15	ability	ability	NOUN
ajst-13990	44	16	is	be	AUX
ajst-13990	44	17	,	,	PUNCT
ajst-13990	44	18	and	and	CCONJ
ajst-13990	44	19	the	the	PRON
ajst-13990	44	20	closer	close	ADJ
ajst-13990	44	21	the	the	DET
ajst-13990	44	22	ergas	ergas	NOUN
ajst-13990	44	23	value	value	NOUN
ajst-13990	44	24	is	be	AUX
ajst-13990	44	25	to	to	ADP
ajst-13990	44	26	0	0	NUM
ajst-13990	44	27	,	,	PUNCT
ajst-13990	44	28	the	the	PRON
ajst-13990	44	29	higher	high	ADJ
ajst-13990	44	30	the	the	DET
ajst-13990	44	31	spectral	spectral	ADJ
ajst-13990	44	32	quality	quality	NOUN
ajst-13990	44	33	of	of	ADP
ajst-13990	44	34	the	the	DET
ajst-13990	44	35	fused	fuse	VERB
ajst-13990	44	36	image	image	NOUN
ajst-13990	44	37	is	be	AUX
ajst-13990	44	38	.	.	PUNCT
ajst-13990	45	1	4q	4q	NOUN
ajst-13990	45	2	the	the	PRON
ajst-13990	45	3	closer	close	ADV
ajst-13990	45	4	the	the	DET
ajst-13990	45	5	value	value	NOUN
ajst-13990	45	6	is	be	AUX
ajst-13990	45	7	to	to	ADP
ajst-13990	45	8	1	1	NUM
ajst-13990	45	9	,	,	PUNCT
ajst-13990	45	10	the	the	PRON
ajst-13990	45	11	higher	high	ADJ
ajst-13990	45	12	the	the	DET
ajst-13990	45	13	image	image	NOUN
ajst-13990	45	14	quality	quality	NOUN
ajst-13990	45	15	.	.	PUNCT
ajst-13990	46	1	table	table	NOUN
ajst-13990	46	2	2	2	NUM
ajst-13990	46	3	.	.	PUNCT
ajst-13990	46	4	fusion	fusion	NOUN
ajst-13990	46	5	evaluation	evaluation	NOUN
ajst-13990	46	6	indicators	indicator	NOUN
ajst-13990	46	7	evaluation	evaluation	NOUN
ajst-13990	46	8	indicators	indicator	NOUN
ajst-13990	46	9	expression	expression	NOUN
ajst-13990	46	10	formula	formula	NOUN
ajst-13990	47	1	physical	physical	ADJ
ajst-13990	47	2	meaning	mean	VERB
ajst-13990	47	3	gamma	gamma	NOUN
ajst-13990	47	4	-	-	PUNCT
ajst-13990	47	5	mean	mean	NOUN
ajst-13990	47	6	(	(	PUNCT
ajst-13990	47	7	statistics	statistic	NOUN
ajst-13990	47	8	)	)	PUNCT
ajst-13990	47	9	1	1	NUM
ajst-13990	47	10	1	1	NUM
ajst-13990	47	11	n	n	NOUN
ajst-13990	48	1	i	i	PRON
ajst-13990	48	2	i	i	PRON
ajst-13990	48	3	mean	mean	VERB
ajst-13990	48	4	x	x	PUNCT
ajst-13990	48	5	n	n	X
ajst-13990	49	1			NOUN
ajst-13990	49	2			NOUN
ajst-13990	49	3			NUM
ajst-13990	50	1	it	it	PRON
ajst-13990	50	2	is	be	AUX
ajst-13990	50	3	important	important	ADJ
ajst-13990	50	4	to	to	PART
ajst-13990	50	5	reveal	reveal	VERB
ajst-13990	50	6	the	the	DET
ajst-13990	50	7	error	error	NOUN
ajst-13990	50	8	characteristics	characteristic	NOUN
ajst-13990	50	9	of	of	ADP
ajst-13990	50	10	individual	individual	ADJ
ajst-13990	50	11	bands	band	NOUN
ajst-13990	50	12	because	because	SCONJ
ajst-13990	50	13	they	they	PRON
ajst-13990	50	14	have	have	VERB
ajst-13990	50	15	a	a	DET
ajst-13990	50	16	significant	significant	ADJ
ajst-13990	50	17	impact	impact	NOUN
ajst-13990	50	18	on	on	ADP
ajst-13990	50	19	many	many	ADJ
ajst-13990	50	20	applications	application	NOUN
ajst-13990	50	21	based	base	VERB
ajst-13990	50	22	on	on	ADP
ajst-13990	50	23	spectral	spectral	ADJ
ajst-13990	50	24	indices	index	NOUN
ajst-13990	50	25	and	and	CCONJ
ajst-13990	50	26	band	band	NOUN
ajst-13990	50	27	ratios	ratio	NOUN
ajst-13990	50	28	.	.	PUNCT
ajst-13990	51	1	indices	index	NOUN
ajst-13990	51	2	and	and	CCONJ
ajst-13990	51	3	band	band	NOUN
ajst-13990	51	4	ratios	ratio	NOUN
ajst-13990	51	5	entropy	entropy	VERB
ajst-13990	51	6	(	(	PUNCT
ajst-13990	51	7	)	)	PUNCT
ajst-13990	52	1	lg	lg	NOUN
ajst-13990	52	2	(	(	PUNCT
ajst-13990	52	3	)	)	PUNCT
ajst-13990	52	4	l	l	NOUN
ajst-13990	52	5	i	i	PRON
ajst-13990	52	6	entropy	entropy	VERB
ajst-13990	52	7	p	p	X
ajst-13990	53	1	i	i	PRON
ajst-13990	53	2	p	p	PROPN
ajst-13990	53	3	i	i	NOUN
ajst-13990	53	4			PROPN
ajst-13990	53	5	entropy	entropy	NOUN
ajst-13990	53	6	is	be	AUX
ajst-13990	53	7	mainly	mainly	ADV
ajst-13990	53	8	a	a	DET
ajst-13990	53	9	measure	measure	NOUN
ajst-13990	53	10	of	of	ADP
ajst-13990	53	11	how	how	SCONJ
ajst-13990	53	12	much	much	ADJ
ajst-13990	53	13	information	information	NOUN
ajst-13990	53	14	is	be	AUX
ajst-13990	53	15	contained	contain	VERB
ajst-13990	53	16	in	in	ADP
ajst-13990	53	17	the	the	DET
ajst-13990	53	18	image	image	NOUN
ajst-13990	53	19	,	,	PUNCT
ajst-13990	53	20	and	and	CCONJ
ajst-13990	53	21	the	the	PRON
ajst-13990	53	22	higher	high	ADJ
ajst-13990	53	23	the	the	DET
ajst-13990	53	24	information	information	NOUN
ajst-13990	53	25	entropy	entropy	VERB
ajst-13990	53	26	,	,	PUNCT
ajst-13990	53	27	the	the	DET
ajst-13990	53	28	richer	rich	ADJ
ajst-13990	53	29	and	and	CCONJ
ajst-13990	53	30	better	well	ADJ
ajst-13990	53	31	the	the	DET
ajst-13990	53	32	quality	quality	NOUN
ajst-13990	53	33	of	of	ADP
ajst-13990	53	34	the	the	DET
ajst-13990	53	35	fused	fuse	VERB
ajst-13990	53	36	image	image	NOUN
ajst-13990	53	37	.	.	PUNCT
ajst-13990	54	1	mean	mean	VERB
ajst-13990	54	2	gradient	gradient	NOUN
ajst-13990	54	3	22	22	NUM
ajst-13990	54	4	1	1	NUM
ajst-13990	54	5	1	1	NUM
ajst-13990	54	6	x	x	SYM
ajst-13990	54	7	y1	y1	NOUN
ajst-13990	54	8	2	2	NUM
ajst-13990	54	9	m	m	VERB
ajst-13990	54	10	n	n	NOUN
ajst-13990	55	1	i	i	PRON
ajst-13990	55	2	j	j	PROPN
ajst-13990	56	1	f	f	NOUN
ajst-13990	56	2	f	f	PROPN
ajst-13990	57	1	g	g	PROPN
ajst-13990	57	2	m	m	PROPN
ajst-13990	57	3	n	n	ADV
ajst-13990	57	4			NUM
ajst-13990	58	1			PROPN
ajst-13990	58	2			NOUN
ajst-13990	58	3			NOUN
ajst-13990	59	1			PROPN
ajst-13990	59	2			NOUN
ajst-13990	59	3			PROPN
ajst-13990	59	4			PROPN
ajst-13990	59	5			PROPN
ajst-13990	60	1			PROPN
ajst-13990	60	2			PRON
ajst-13990	60	3			NOUN
ajst-13990	60	4			PROPN
ajst-13990	60	5			PROPN
ajst-13990	60	6			NOUN
ajst-13990	60	7			ADP
ajst-13990	60	8	the	the	DET
ajst-13990	60	9	average	average	ADJ
ajst-13990	60	10	gradient	gradient	NOUN
ajst-13990	60	11	reflects	reflect	VERB
ajst-13990	60	12	the	the	DET
ajst-13990	60	13	detail	detail	NOUN
ajst-13990	60	14	contrast	contrast	NOUN
ajst-13990	60	15	and	and	CCONJ
ajst-13990	60	16	texture	texture	ADJ
ajst-13990	60	17	transformation	transformation	NOUN
ajst-13990	60	18	in	in	ADP
ajst-13990	60	19	the	the	DET
ajst-13990	60	20	image	image	NOUN
ajst-13990	60	21	,	,	PUNCT
ajst-13990	60	22	it	it	PRON
ajst-13990	60	23	reflects	reflect	VERB
ajst-13990	60	24	the	the	DET
ajst-13990	60	25	clarity	clarity	NOUN
ajst-13990	60	26	of	of	ADP
ajst-13990	60	27	the	the	DET
ajst-13990	60	28	image	image	NOUN
ajst-13990	60	29	to	to	ADP
ajst-13990	60	30	some	some	DET
ajst-13990	60	31	extent	extent	NOUN
ajst-13990	60	32	.	.	PUNCT
ajst-13990	61	1	sam	sam	NOUN
ajst-13990	61	2	1	1	NUM
ajst-13990	61	3	1	1	NUM
ajst-13990	61	4	1	1	NUM
ajst-13990	61	5	cos	cos	INTJ
ajst-13990	61	6	|	|	ADV
ajst-13990	62	1	|	|	ADV
ajst-13990	63	1	|	|	INTJ
ajst-13990	64	1	|	|	ADV
ajst-13990	64	2	n	n	ADV
ajst-13990	65	1	i	i	PRON
ajst-13990	65	2	i	i	PRON
ajst-13990	66	1	i	i	PRON
ajst-13990	66	2	i	i	PRON
ajst-13990	67	1	i	i	VERB
ajst-13990	67	2	x	x	VERB
ajst-13990	68	1	y	y	NOUN
ajst-13990	68	2	s	s	X
ajst-13990	68	3	yn	yn	NOUN
ajst-13990	68	4	am	be	AUX
ajst-13990	68	5	x	x	PART
ajst-13990	68	6			VERB
ajst-13990	68	7			NUM
ajst-13990	68	8			NUM
ajst-13990	68	9			PRON
ajst-13990	68	10			NUM
ajst-13990	68	11	reflects	reflect	VERB
ajst-13990	68	12	the	the	DET
ajst-13990	68	13	similarity	similarity	NOUN
ajst-13990	68	14	between	between	ADP
ajst-13990	68	15	spectra	spectra	PROPN
ajst-13990	68	16	,	,	PUNCT
ajst-13990	68	17	the	the	PRON
ajst-13990	68	18	smaller	small	ADJ
ajst-13990	68	19	the	the	DET
ajst-13990	68	20	angle	angle	NOUN
ajst-13990	68	21	the	the	PRON
ajst-13990	68	22	higher	high	ADJ
ajst-13990	68	23	the	the	DET
ajst-13990	68	24	similarity	similarity	NOUN
ajst-13990	68	25	and	and	CCONJ
ajst-13990	68	26	vice	vice	NOUN
ajst-13990	68	27	versa	versa	ADV
ajst-13990	68	28	.	.	PUNCT
ajst-13990	69	1	ergas	ergas	NOUN
ajst-13990	69	2	2	2	NUM
ajst-13990	69	3	1	1	NUM
ajst-13990	69	4	1	1	NUM
ajst-13990	69	5	100	100	NUM
ajst-13990	69	6	[	[	PUNCT
ajst-13990	69	7	(	(	PUNCT
ajst-13990	69	8	)	)	PUNCT
ajst-13990	69	9	/	/	SYM
ajst-13990	69	10	(	(	PUNCT
ajst-13990	69	11	)	)	PUNCT
ajst-13990	69	12	]	]	PUNCT
ajst-13990	70	1	n	n	CCONJ
ajst-13990	70	2	i	i	PRON
ajst-13990	70	3	ergas	ergas	VERB
ajst-13990	70	4	rmse	rmse	NOUN
ajst-13990	71	1	i	i	PRON
ajst-13990	71	2	mea	mea	VERB
ajst-13990	71	3	h	h	PROPN
ajst-13990	71	4	l	l	PROPN
ajst-13990	71	5	n	n	CCONJ
ajst-13990	71	6	n	n	NOUN
ajst-13990	72	1	i	i	PRON
ajst-13990	72	2			VERB
ajst-13990	73	1			VERB
ajst-13990	73	2			X
ajst-13990	74	1	the	the	DET
ajst-13990	74	2	closer	close	ADJ
ajst-13990	74	3	ergas	ergas	NOUN
ajst-13990	74	4	is	be	AUX
ajst-13990	74	5	to	to	ADP
ajst-13990	74	6	0	0	NUM
ajst-13990	74	7	,	,	PUNCT
ajst-13990	74	8	the	the	PRON
ajst-13990	74	9	higher	high	ADJ
ajst-13990	74	10	the	the	DET
ajst-13990	74	11	spectral	spectral	ADJ
ajst-13990	74	12	quality	quality	NOUN
ajst-13990	74	13	of	of	ADP
ajst-13990	74	14	the	the	DET
ajst-13990	74	15	fused	fuse	VERB
ajst-13990	74	16	image	image	NOUN
ajst-13990	74	17	.	.	PUNCT
ajst-13990	75	1	4q	4q	NOUN
ajst-13990	76	1			PROPN
ajst-13990	76	2			NOUN
ajst-13990	76	3	2	2	ADJ
ajst-13990	76	4	2	2	NUM
ajst-13990	76	5	2	2	NUM
ajst-13990	76	6	2	2	NUM
ajst-13990	76	7	4	4	NUM
ajst-13990	76	8	(	(	PUNCT
ajst-13990	76	9	)	)	PUNCT
ajst-13990	76	10	(	(	PUNCT
ajst-13990	76	11	)	)	PUNCT
ajst-13990	76	12	(	(	PUNCT
ajst-13990	76	13	,	,	PUNCT
ajst-13990	76	14	)	)	PUNCT
ajst-13990	76	15	rf	rf	NOUN
ajst-13990	77	1	r	r	NOUN
ajst-13990	77	2	f	f	NOUN
ajst-13990	77	3	r	r	NOUN
ajst-13990	77	4	f	f	NOUN
ajst-13990	77	5	r	r	NOUN
ajst-13990	77	6	f	f	X
ajst-13990	77	7	q	q	NOUN
ajst-13990	77	8	r	r	NOUN
ajst-13990	77	9	f	f	X
ajst-13990	77	10			NOUN
ajst-13990	77	11			NOUN
ajst-13990	77	12			NOUN
ajst-13990	77	13			NUM
ajst-13990	77	14			NUM
ajst-13990	77	15			NOUN
ajst-13990	77	16			NOUN
ajst-13990	77	17			VERB
ajst-13990	77	18			PROPN
ajst-13990	77	19			PROPN
ajst-13990	77	20			ADV
ajst-13990	77	21			PUNCT
ajst-13990	77	22	a	a	DET
ajst-13990	77	23	sliding	slide	VERB
ajst-13990	77	24	window	window	NOUN
ajst-13990	77	25	is	be	AUX
ajst-13990	77	26	used	use	VERB
ajst-13990	77	27	to	to	PART
ajst-13990	77	28	increase	increase	VERB
ajst-13990	77	29	the	the	DET
ajst-13990	77	30	discriminatory	discriminatory	ADJ
ajst-13990	77	31	power	power	NOUN
ajst-13990	77	32	and	and	CCONJ
ajst-13990	77	33	to	to	PART
ajst-13990	77	34	measure	measure	VERB
ajst-13990	77	35	the	the	DET
ajst-13990	77	36	local	local	ADJ
ajst-13990	77	37	distortion	distortion	NOUN
ajst-13990	77	38	of	of	ADP
ajst-13990	77	39	the	the	DET
ajst-13990	77	40	fused	fuse	VERB
ajst-13990	77	41	image	image	NOUN
ajst-13990	77	42	,	,	PUNCT
ajst-13990	77	43	and	and	CCONJ
ajst-13990	77	44	all	all	DET
ajst-13990	77	45	the	the	DET
ajst-13990	77	46	sliding	slide	VERB
ajst-13990	77	47	window	window	NOUN
ajst-13990	77	48	is	be	AUX
ajst-13990	77	49	averaged	average	VERB
ajst-13990	77	50	.	.	PUNCT
ajst-13990	78	1	3	3	X
ajst-13990	78	2	.	.	NUM
ajst-13990	78	3	improved	improve	VERB
ajst-13990	78	4	gsa	gsa	PROPN
ajst-13990	78	5	method	method	NOUN
ajst-13990	78	6	based	base	VERB
ajst-13990	78	7	on	on	ADP
ajst-13990	78	8	deep	deep	ADJ
ajst-13990	78	9	convolutional	convolutional	ADJ
ajst-13990	78	10	features	feature	NOUN
ajst-13990	78	11	3.1	3.1	NUM
ajst-13990	78	12	.	.	PUNCT
ajst-13990	79	1	convolutional	convolutional	ADJ
ajst-13990	79	2	neural	neural	ADJ
ajst-13990	79	3	network	network	NOUN
ajst-13990	79	4	convolutional	convolutional	ADJ
ajst-13990	79	5	neural	neural	ADJ
ajst-13990	79	6	network	network	NOUN
ajst-13990	79	7	(	(	PUNCT
ajst-13990	79	8	cnn	cnn	PROPN
ajst-13990	79	9	)	)	PUNCT
ajst-13990	79	10	is	be	AUX
ajst-13990	79	11	a	a	DET
ajst-13990	79	12	feed	feed	NOUN
ajst-13990	79	13	-	-	PUNCT
ajst-13990	79	14	forward	forward	NOUN
ajst-13990	79	15	neural	neural	ADJ
ajst-13990	79	16	network	network	NOUN
ajst-13990	79	17	that	that	PRON
ajst-13990	79	18	has	have	VERB
ajst-13990	79	19	the	the	DET
ajst-13990	79	20	ability	ability	NOUN
ajst-13990	79	21	to	to	PART
ajst-13990	79	22	exploit	exploit	VERB
ajst-13990	79	23	spatial	spatial	ADJ
ajst-13990	79	24	correlations	correlation	NOUN
ajst-13990	79	25	in	in	ADP
ajst-13990	79	26	data	datum	NOUN
ajst-13990	79	27	to	to	PART
ajst-13990	79	28	effectively	effectively	ADV
ajst-13990	79	29	capture	capture	VERB
ajst-13990	79	30	intrinsic	intrinsic	ADJ
ajst-13990	79	31	relationships	relationship	NOUN
ajst-13990	79	32	in	in	ADP
ajst-13990	79	33	raster	raster	PROPN
ajst-13990	79	34	data	datum	NOUN
ajst-13990	79	35	,	,	PUNCT
ajst-13990	79	36	and	and	CCONJ
ajst-13990	79	37	has	have	AUX
ajst-13990	79	38	features	feature	NOUN
ajst-13990	79	39	such	such	ADJ
ajst-13990	79	40	as	as	ADP
ajst-13990	79	41	automatic	automatic	ADJ
ajst-13990	79	42	feature	feature	NOUN
ajst-13990	79	43	extraction	extraction	NOUN
ajst-13990	79	44	,	,	PUNCT
ajst-13990	79	45	weight	weight	NOUN
ajst-13990	79	46	sharing	sharing	NOUN
ajst-13990	79	47	and	and	CCONJ
ajst-13990	79	48	hierarchical	hierarchical	ADJ
ajst-13990	79	49	learning	learning	NOUN
ajst-13990	79	50	,	,	PUNCT
ajst-13990	79	51	which	which	PRON
ajst-13990	79	52	are	be	AUX
ajst-13990	79	53	useful	useful	ADJ
ajst-13990	79	54	in	in	ADP
ajst-13990	79	55	computer	computer	NOUN
ajst-13990	79	56	vision	vision	NOUN
ajst-13990	79	57	tasks	task	NOUN
ajst-13990	79	58	such	such	ADJ
ajst-13990	79	59	as	as	ADP
ajst-13990	79	60	image	image	NOUN
ajst-13990	79	61	segmentation	segmentation	NOUN
ajst-13990	79	62	,	,	PUNCT
ajst-13990	79	63	classification	classification	NOUN
ajst-13990	79	64	,	,	PUNCT
ajst-13990	79	65	monitoring[16	monitoring[16	PROPN
ajst-13990	79	66	]	]	PUNCT
ajst-13990	79	67	and	and	CCONJ
ajst-13990	79	68	image	image	NOUN
ajst-13990	79	69	fusion	fusion	NOUN
ajst-13990	79	70	,	,	PUNCT
ajst-13990	79	71	etc	etc	X
ajst-13990	79	72	.	.	X
ajst-13990	80	1	therefore	therefore	ADV
ajst-13990	80	2	,	,	PUNCT
ajst-13990	80	3	the	the	DET
ajst-13990	80	4	aim	aim	NOUN
ajst-13990	80	5	of	of	ADP
ajst-13990	80	6	this	this	DET
ajst-13990	80	7	study	study	NOUN
ajst-13990	80	8	is	be	AUX
ajst-13990	80	9	to	to	PART
ajst-13990	80	10	extract	extract	VERB
ajst-13990	80	11	the	the	DET
ajst-13990	80	12	null	null	ADJ
ajst-13990	80	13	spectral	spectral	ADJ
ajst-13990	80	14	features	feature	NOUN
ajst-13990	80	15	of	of	ADP
ajst-13990	80	16	images	image	NOUN
ajst-13990	80	17	using	use	VERB
ajst-13990	80	18	convolutional	convolutional	ADJ
ajst-13990	80	19	neural	neural	ADJ
ajst-13990	80	20	network	network	NOUN
ajst-13990	80	21	structure	structure	NOUN
ajst-13990	80	22	.	.	PUNCT
ajst-13990	81	1	65	65	NUM
ajst-13990	81	2	figure	figure	NOUN
ajst-13990	81	3	2	2	NUM
ajst-13990	81	4	.	.	PUNCT
ajst-13990	81	5	structure	structure	NOUN
ajst-13990	81	6	diagram	diagram	NOUN
ajst-13990	81	7	of	of	ADP
ajst-13990	81	8	convolution	convolution	NOUN
ajst-13990	81	9	neural	neural	ADJ
ajst-13990	81	10	network[17	network[17	PROPN
ajst-13990	81	11	]	]	X
ajst-13990	81	12	the	the	DET
ajst-13990	81	13	classical	classical	ADJ
ajst-13990	81	14	cnn	cnn	PROPN
ajst-13990	81	15	structure	structure	NOUN
ajst-13990	81	16	basically	basically	ADV
ajst-13990	81	17	consists	consist	VERB
ajst-13990	81	18	of	of	ADP
ajst-13990	81	19	a	a	DET
ajst-13990	81	20	combination	combination	NOUN
ajst-13990	81	21	of	of	ADP
ajst-13990	81	22	structures	structure	NOUN
ajst-13990	81	23	such	such	ADJ
ajst-13990	81	24	as	as	ADP
ajst-13990	81	25	convolutional	convolutional	ADJ
ajst-13990	81	26	layers	layer	NOUN
ajst-13990	81	27	,	,	PUNCT
ajst-13990	81	28	pooling	pool	VERB
ajst-13990	81	29	layers	layer	NOUN
ajst-13990	81	30	,	,	PUNCT
ajst-13990	81	31	activation	activation	NOUN
ajst-13990	81	32	layers	layer	NOUN
ajst-13990	81	33	,	,	PUNCT
ajst-13990	81	34	etc	etc	X
ajst-13990	81	35	.	.	X
ajst-13990	81	36	,	,	PUNCT
ajst-13990	81	37	and	and	CCONJ
ajst-13990	81	38	covers	cover	VERB
ajst-13990	81	39	one	one	NUM
ajst-13990	81	40	or	or	CCONJ
ajst-13990	81	41	more	more	ADV
ajst-13990	81	42	fully	fully	ADV
ajst-13990	81	43	connected	connected	ADJ
ajst-13990	81	44	layers	layer	NOUN
ajst-13990	81	45	on	on	ADP
ajst-13990	81	46	the	the	DET
ajst-13990	81	47	tail	tail	NOUN
ajst-13990	81	48	end	end	NOUN
ajst-13990	81	49	,	,	PUNCT
ajst-13990	81	50	the	the	DET
ajst-13990	81	51	convolutional	convolutional	ADJ
ajst-13990	81	52	neural	neural	ADJ
ajst-13990	81	53	network	network	NOUN
ajst-13990	81	54	structure	structure	NOUN
ajst-13990	81	55	is	be	AUX
ajst-13990	81	56	shown	show	VERB
ajst-13990	81	57	in	in	ADP
ajst-13990	81	58	figure	figure	NOUN
ajst-13990	81	59	2	2	NUM
ajst-13990	81	60	.	.	PUNCT
ajst-13990	82	1	the	the	DET
ajst-13990	82	2	convolutional	convolutional	ADJ
ajst-13990	82	3	layer	layer	NOUN
ajst-13990	82	4	consists	consist	VERB
ajst-13990	82	5	of	of	ADP
ajst-13990	82	6	a	a	DET
ajst-13990	82	7	set	set	NOUN
ajst-13990	82	8	of	of	ADP
ajst-13990	82	9	convolutional	convolutional	ADJ
ajst-13990	82	10	kernels	kernel	NOUN
ajst-13990	82	11	,	,	PUNCT
ajst-13990	82	12	usually	usually	ADV
ajst-13990	82	13	the	the	DET
ajst-13990	82	14	size	size	NOUN
ajst-13990	82	15	of	of	ADP
ajst-13990	82	16	the	the	DET
ajst-13990	82	17	convolutional	convolutional	ADJ
ajst-13990	82	18	kernel	kernel	NOUN
ajst-13990	82	19	is	be	AUX
ajst-13990	82	20	smaller	small	ADJ
ajst-13990	82	21	than	than	ADP
ajst-13990	82	22	the	the	DET
ajst-13990	82	23	size	size	NOUN
ajst-13990	82	24	of	of	ADP
ajst-13990	82	25	the	the	DET
ajst-13990	82	26	input	input	NOUN
ajst-13990	82	27	channel	channel	NOUN
ajst-13990	82	28	,	,	PUNCT
ajst-13990	82	29	so	so	SCONJ
ajst-13990	82	30	it	it	PRON
ajst-13990	82	31	is	be	AUX
ajst-13990	82	32	necessary	necessary	ADJ
ajst-13990	82	33	to	to	PART
ajst-13990	82	34	select	select	VERB
ajst-13990	82	35	a	a	DET
ajst-13990	82	36	certain	certain	ADJ
ajst-13990	82	37	range	range	NOUN
ajst-13990	82	38	of	of	ADP
ajst-13990	82	39	the	the	DET
ajst-13990	82	40	input	input	NOUN
ajst-13990	82	41	channel	channel	NOUN
ajst-13990	82	42	as	as	ADP
ajst-13990	82	43	the	the	DET
ajst-13990	82	44	convolutional	convolutional	ADJ
ajst-13990	82	45	window	window	NOUN
ajst-13990	82	46	.	.	PUNCT
ajst-13990	83	1	the	the	DET
ajst-13990	83	2	convolution	convolution	NOUN
ajst-13990	83	3	window	window	NOUN
ajst-13990	83	4	represents	represent	VERB
ajst-13990	83	5	the	the	DET
ajst-13990	83	6	range	range	NOUN
ajst-13990	83	7	of	of	ADP
ajst-13990	83	8	the	the	DET
ajst-13990	83	9	image	image	NOUN
ajst-13990	83	10	perceived	perceive	VERB
ajst-13990	83	11	by	by	ADP
ajst-13990	83	12	the	the	DET
ajst-13990	83	13	convolution	convolution	NOUN
ajst-13990	83	14	kernel	kernel	NOUN
ajst-13990	83	15	and	and	CCONJ
ajst-13990	83	16	is	be	AUX
ajst-13990	83	17	usually	usually	ADV
ajst-13990	83	18	the	the	DET
ajst-13990	83	19	same	same	ADJ
ajst-13990	83	20	size	size	NOUN
ajst-13990	83	21	as	as	ADP
ajst-13990	83	22	the	the	DET
ajst-13990	83	23	convolution	convolution	NOUN
ajst-13990	83	24	kernel	kernel	PROPN
ajst-13990	83	25	.	.	PUNCT
ajst-13990	84	1	presented	present	VERB
ajst-13990	84	2	on	on	ADP
ajst-13990	84	3	the	the	DET
ajst-13990	84	4	image	image	NOUN
ajst-13990	84	5	,	,	PUNCT
ajst-13990	84	6	the	the	DET
ajst-13990	84	7	convolution	convolution	NOUN
ajst-13990	84	8	window	window	NOUN
ajst-13990	84	9	moves	move	NOUN
ajst-13990	84	10	from	from	ADP
ajst-13990	84	11	left	left	ADJ
ajst-13990	84	12	to	to	ADP
ajst-13990	84	13	right	right	NOUN
ajst-13990	84	14	and	and	CCONJ
ajst-13990	84	15	from	from	ADP
ajst-13990	84	16	top	top	NOUN
ajst-13990	84	17	to	to	ADP
ajst-13990	84	18	bottom	bottom	NOUN
ajst-13990	84	19	,	,	PUNCT
ajst-13990	84	20	and	and	CCONJ
ajst-13990	84	21	after	after	ADP
ajst-13990	84	22	each	each	DET
ajst-13990	84	23	move	move	NOUN
ajst-13990	84	24	,	,	PUNCT
ajst-13990	84	25	the	the	DET
ajst-13990	84	26	convolution	convolution	NOUN
ajst-13990	84	27	kernel	kernel	NOUN
ajst-13990	84	28	is	be	AUX
ajst-13990	84	29	multiplied	multiply	VERB
ajst-13990	84	30	with	with	ADP
ajst-13990	84	31	the	the	DET
ajst-13990	84	32	corresponding	correspond	VERB
ajst-13990	84	33	image	image	NOUN
ajst-13990	84	34	slice	slice	NOUN
ajst-13990	84	35	at	at	ADP
ajst-13990	84	36	the	the	DET
ajst-13990	84	37	current	current	ADJ
ajst-13990	84	38	position	position	NOUN
ajst-13990	84	39	to	to	PART
ajst-13990	84	40	extract	extract	VERB
ajst-13990	84	41	the	the	DET
ajst-13990	84	42	features	feature	NOUN
ajst-13990	84	43	at	at	ADP
ajst-13990	84	44	that	that	DET
ajst-13990	84	45	position	position	NOUN
ajst-13990	84	46	.	.	PUNCT
ajst-13990	85	1	the	the	DET
ajst-13990	85	2	convolution	convolution	NOUN
ajst-13990	85	3	process	process	NOUN
ajst-13990	85	4	can	can	AUX
ajst-13990	85	5	be	be	AUX
ajst-13990	85	6	specifically	specifically	ADV
ajst-13990	85	7	described	describe	VERB
ajst-13990	85	8	as	as	SCONJ
ajst-13990	85	9	follows	follow	VERB
ajst-13990	85	10	:	:	PUNCT
ajst-13990	85	11	y	y	PROPN
ajst-13990	85	12	,	,	PUNCT
ajst-13990	85	13	∑	∑	ADP
ajst-13990	85	14	∑	∑	PROPN
ajst-13990	85	15	w	w	PROPN
ajst-13990	85	16	,	,	PUNCT
ajst-13990	85	17	⋅	⋅	PROPN
ajst-13990	85	18	x	x	SYM
ajst-13990	85	19	w	w	PROPN
ajst-13990	85	20	(	(	PUNCT
ajst-13990	85	21	1	1	NUM
ajst-13990	85	22	)	)	PUNCT
ajst-13990	85	23	wherey	wherey	NOUN
ajst-13990	85	24	,	,	PUNCT
ajst-13990	85	25	is	be	AUX
ajst-13990	85	26	the	the	DET
ajst-13990	85	27	result	result	NOUN
ajst-13990	85	28	of	of	ADP
ajst-13990	85	29	sliding	slide	VERB
ajst-13990	85	30	the	the	DET
ajst-13990	85	31	image	image	NOUN
ajst-13990	85	32	i	i	PRON
ajst-13990	85	33	,	,	PUNCT
ajst-13990	85	34	j	j	PROPN
ajst-13990	85	35	after	after	ADP
ajst-13990	85	36	the	the	DET
ajst-13990	85	37	convolution	convolution	NOUN
ajst-13990	85	38	of	of	ADP
ajst-13990	85	39	the	the	DET
ajst-13990	85	40	convolution	convolution	NOUN
ajst-13990	85	41	window	window	NOUN
ajst-13990	85	42	atw	atw	PROPN
ajst-13990	85	43	,	,	PUNCT
ajst-13990	85	44	which	which	PRON
ajst-13990	85	45	is	be	AUX
ajst-13990	85	46	the	the	DET
ajst-13990	85	47	convolution	convolution	NOUN
ajst-13990	85	48	kernel	kernel	PROPN
ajst-13990	85	49	tensor	tensor	NOUN
ajst-13990	85	50	of	of	ADP
ajst-13990	85	51	size	size	NOUN
ajst-13990	85	52	m	m	PROPN
ajst-13990	85	53	*	*	PUNCT
ajst-13990	85	54	n	n	CCONJ
ajst-13990	85	55	,	,	PUNCT
ajst-13990	85	56	andx	andx	PROPN
ajst-13990	85	57	is	be	AUX
ajst-13990	85	58	the	the	DET
ajst-13990	85	59	tensor	tensor	NOUN
ajst-13990	85	60	of	of	ADP
ajst-13990	85	61	image	image	NOUN
ajst-13990	85	62	slices	slice	NOUN
ajst-13990	85	63	in	in	ADP
ajst-13990	85	64	the	the	DET
ajst-13990	85	65	current	current	ADJ
ajst-13990	85	66	convolution	convolution	NOUN
ajst-13990	85	67	window	window	NOUN
ajst-13990	85	68	,	,	PUNCT
ajst-13990	85	69	andw	andw	NOUN
ajst-13990	85	70	is	be	AUX
ajst-13990	85	71	the	the	DET
ajst-13990	85	72	bias	bias	NOUN
ajst-13990	85	73	matrix	matrix	NOUN
ajst-13990	85	74	.	.	PUNCT
ajst-13990	86	1	the	the	DET
ajst-13990	86	2	size	size	NOUN
ajst-13990	86	3	of	of	ADP
ajst-13990	86	4	the	the	DET
ajst-13990	86	5	convolution	convolution	NOUN
ajst-13990	86	6	kernel	kernel	PROPN
ajst-13990	86	7	tensor	tensor	NOUN
ajst-13990	86	8	is	be	AUX
ajst-13990	86	9	generally	generally	ADV
ajst-13990	86	10	set	set	VERB
ajst-13990	86	11	to	to	ADP
ajst-13990	86	12	3	3	NUM
ajst-13990	86	13	*	*	SYM
ajst-13990	86	14	3	3	NUM
ajst-13990	86	15	,	,	PUNCT
ajst-13990	86	16	5	5	NUM
ajst-13990	86	17	*	*	SYM
ajst-13990	86	18	5	5	NUM
ajst-13990	86	19	or	or	CCONJ
ajst-13990	86	20	7	7	NUM
ajst-13990	86	21	*	*	SYM
ajst-13990	86	22	7	7	NUM
ajst-13990	86	23	,	,	PUNCT
ajst-13990	86	24	etc	etc	X
ajst-13990	86	25	.	.	X
ajst-13990	87	1	the	the	PRON
ajst-13990	87	2	larger	large	ADJ
ajst-13990	87	3	the	the	DET
ajst-13990	87	4	convolution	convolution	NOUN
ajst-13990	87	5	kernel	kernel	NOUN
ajst-13990	87	6	is	be	AUX
ajst-13990	87	7	,	,	PUNCT
ajst-13990	87	8	the	the	DET
ajst-13990	87	9	more	more	ADJ
ajst-13990	87	10	parameters	parameter	NOUN
ajst-13990	87	11	the	the	DET
ajst-13990	87	12	model	model	NOUN
ajst-13990	87	13	has	have	VERB
ajst-13990	87	14	,	,	PUNCT
ajst-13990	87	15	the	the	PRON
ajst-13990	87	16	stronger	strong	ADJ
ajst-13990	87	17	the	the	DET
ajst-13990	87	18	ability	ability	NOUN
ajst-13990	87	19	to	to	PART
ajst-13990	87	20	extract	extract	VERB
ajst-13990	87	21	the	the	DET
ajst-13990	87	22	deeper	deep	ADJ
ajst-13990	87	23	semantics	semantic	NOUN
ajst-13990	87	24	,	,	PUNCT
ajst-13990	87	25	but	but	CCONJ
ajst-13990	87	26	the	the	PRON
ajst-13990	87	27	higher	high	ADJ
ajst-13990	87	28	the	the	DET
ajst-13990	87	29	demand	demand	NOUN
ajst-13990	87	30	for	for	ADP
ajst-13990	87	31	computing	compute	VERB
ajst-13990	87	32	power	power	NOUN
ajst-13990	87	33	.	.	PUNCT
ajst-13990	88	1	therefore	therefore	ADV
ajst-13990	88	2	,	,	PUNCT
ajst-13990	88	3	it	it	PRON
ajst-13990	88	4	is	be	AUX
ajst-13990	88	5	proposed	propose	VERB
ajst-13990	88	6	to	to	PART
ajst-13990	88	7	replace	replace	VERB
ajst-13990	88	8	the	the	DET
ajst-13990	88	9	large	large	ADJ
ajst-13990	88	10	convolutional	convolutional	ADJ
ajst-13990	88	11	kernel	kernel	NOUN
ajst-13990	88	12	with	with	ADP
ajst-13990	88	13	a	a	DET
ajst-13990	88	14	stack	stack	NOUN
ajst-13990	88	15	of	of	ADP
ajst-13990	88	16	multiple	multiple	ADJ
ajst-13990	88	17	small	small	ADJ
ajst-13990	88	18	convolutional	convolutional	ADJ
ajst-13990	88	19	kernels	kernel	NOUN
ajst-13990	88	20	with	with	ADP
ajst-13990	88	21	the	the	DET
ajst-13990	88	22	same	same	ADJ
ajst-13990	88	23	sense	sense	NOUN
ajst-13990	88	24	field	field	NOUN
ajst-13990	88	25	(	(	PUNCT
ajst-13990	88	26	e.g.	e.g.	ADV
ajst-13990	88	27	,	,	PUNCT
ajst-13990	88	28	the	the	DET
ajst-13990	88	29	effect	effect	NOUN
ajst-13990	88	30	of	of	ADP
ajst-13990	88	31	stacking	stack	VERB
ajst-13990	88	32	two	two	NUM
ajst-13990	88	33	3	3	NUM
ajst-13990	88	34	*	*	SYM
ajst-13990	88	35	3	3	NUM
ajst-13990	88	36	convolutional	convolutional	ADJ
ajst-13990	88	37	kernels	kernel	NOUN
ajst-13990	88	38	is	be	AUX
ajst-13990	88	39	equal	equal	ADJ
ajst-13990	88	40	to	to	ADP
ajst-13990	88	41	that	that	PRON
ajst-13990	88	42	of	of	ADP
ajst-13990	88	43	5	5	NUM
ajst-13990	88	44	*	*	SYM
ajst-13990	88	45	5	5	NUM
ajst-13990	88	46	convolutional	convolutional	ADJ
ajst-13990	88	47	kernels	kernel	NOUN
ajst-13990	88	48	)	)	PUNCT
ajst-13990	88	49	,	,	PUNCT
ajst-13990	88	50	and	and	CCONJ
ajst-13990	88	51	to	to	PART
ajst-13990	88	52	reduce	reduce	VERB
ajst-13990	88	53	the	the	DET
ajst-13990	88	54	number	number	NOUN
ajst-13990	88	55	of	of	ADP
ajst-13990	88	56	parameters	parameter	NOUN
ajst-13990	88	57	without	without	ADP
ajst-13990	88	58	reducing	reduce	VERB
ajst-13990	88	59	the	the	DET
ajst-13990	88	60	ability	ability	NOUN
ajst-13990	88	61	to	to	PART
ajst-13990	88	62	extract	extract	VERB
ajst-13990	88	63	the	the	DET
ajst-13990	88	64	semantics	semantic	NOUN
ajst-13990	88	65	through	through	ADP
ajst-13990	88	66	stacking	stacking	NOUN
ajst-13990	88	67	.	.	PUNCT
ajst-13990	89	1	the	the	DET
ajst-13990	89	2	stacking	stack	VERB
ajst-13990	89	3	approach	approach	NOUN
ajst-13990	89	4	reduces	reduce	VERB
ajst-13990	89	5	the	the	DET
ajst-13990	89	6	number	number	NOUN
ajst-13990	89	7	of	of	ADP
ajst-13990	89	8	parameters	parameter	NOUN
ajst-13990	89	9	without	without	ADP
ajst-13990	89	10	reducing	reduce	VERB
ajst-13990	89	11	the	the	DET
ajst-13990	89	12	semantic	semantic	ADJ
ajst-13990	89	13	extraction	extraction	NOUN
ajst-13990	89	14	capability	capability	NOUN
ajst-13990	89	15	.	.	PUNCT
ajst-13990	90	1	3.2	3.2	NUM
ajst-13990	90	2	.	.	X
ajst-13990	91	1	u	u	ADJ
ajst-13990	91	2	-	-	ADJ
ajst-13990	91	3	net	net	ADJ
ajst-13990	91	4	codec	codec	NOUN
ajst-13990	91	5	structure	structure	NOUN
ajst-13990	91	6	u	u	NOUN
ajst-13990	91	7	-	-	ADJ
ajst-13990	91	8	net	net	ADJ
ajst-13990	91	9	network	network	NOUN
ajst-13990	91	10	is	be	AUX
ajst-13990	91	11	a	a	DET
ajst-13990	91	12	network	network	NOUN
ajst-13990	91	13	model	model	NOUN
ajst-13990	91	14	for	for	ADP
ajst-13990	91	15	medical	medical	ADJ
ajst-13990	91	16	image	image	NOUN
ajst-13990	91	17	segmentation	segmentation	NOUN
ajst-13990	91	18	proposed	propose	VERB
ajst-13990	91	19	by	by	ADP
ajst-13990	91	20	ronneberger	ronneberger	NOUN
ajst-13990	91	21	et	et	PROPN
ajst-13990	91	22	al	al	PROPN
ajst-13990	91	23	.	.	PROPN
ajst-13990	91	24	in	in	ADP
ajst-13990	91	25	2015	2015	NUM
ajst-13990	91	26	,	,	PUNCT
ajst-13990	91	27	which	which	PRON
ajst-13990	91	28	is	be	AUX
ajst-13990	91	29	widely	widely	ADV
ajst-13990	91	30	used	use	VERB
ajst-13990	91	31	in	in	ADP
ajst-13990	91	32	the	the	DET
ajst-13990	91	33	field	field	NOUN
ajst-13990	91	34	of	of	ADP
ajst-13990	91	35	image	image	NOUN
ajst-13990	91	36	segmentation	segmentation	NOUN
ajst-13990	91	37	.	.	PUNCT
ajst-13990	92	1	the	the	DET
ajst-13990	92	2	model	model	NOUN
ajst-13990	92	3	is	be	AUX
ajst-13990	92	4	divided	divide	VERB
ajst-13990	92	5	into	into	ADP
ajst-13990	92	6	two	two	NUM
ajst-13990	92	7	parts	part	NOUN
ajst-13990	92	8	:	:	PUNCT
ajst-13990	92	9	encoder	encoder	NOUN
ajst-13990	92	10	and	and	CCONJ
ajst-13990	92	11	decoder	decoder	NOUN
ajst-13990	92	12	.	.	PUNCT
ajst-13990	93	1	the	the	DET
ajst-13990	93	2	encoder	encoder	NOUN
ajst-13990	93	3	part	part	NOUN
ajst-13990	93	4	is	be	AUX
ajst-13990	93	5	responsible	responsible	ADJ
ajst-13990	93	6	for	for	ADP
ajst-13990	93	7	multi	multi	ADJ
ajst-13990	93	8	-	-	ADJ
ajst-13990	93	9	scale	scale	ADJ
ajst-13990	93	10	feature	feature	NOUN
ajst-13990	93	11	extraction	extraction	NOUN
ajst-13990	93	12	,	,	PUNCT
ajst-13990	93	13	and	and	CCONJ
ajst-13990	93	14	adopts	adopt	VERB
ajst-13990	93	15	the	the	DET
ajst-13990	93	16	classical	classical	ADJ
ajst-13990	93	17	convolutional	convolutional	ADJ
ajst-13990	93	18	neural	neural	ADJ
ajst-13990	93	19	network	network	NOUN
ajst-13990	93	20	structure	structure	NOUN
ajst-13990	93	21	such	such	ADJ
ajst-13990	93	22	as	as	ADP
ajst-13990	93	23	vgg16	vgg16	NOUN
ajst-13990	93	24	or	or	CCONJ
ajst-13990	93	25	vgg19	vgg19	PROPN
ajst-13990	93	26	,	,	PUNCT
ajst-13990	93	27	which	which	PRON
ajst-13990	93	28	obtains	obtain	VERB
ajst-13990	93	29	images	image	NOUN
ajst-13990	93	30	at	at	ADP
ajst-13990	93	31	different	different	ADJ
ajst-13990	93	32	scales	scale	NOUN
ajst-13990	93	33	by	by	ADP
ajst-13990	93	34	downsampling	downsample	VERB
ajst-13990	93	35	the	the	DET
ajst-13990	93	36	images	image	NOUN
ajst-13990	93	37	several	several	ADJ
ajst-13990	93	38	times	time	NOUN
ajst-13990	93	39	,	,	PUNCT
ajst-13990	93	40	and	and	CCONJ
ajst-13990	93	41	then	then	ADV
ajst-13990	93	42	convolves	convolve	VERB
ajst-13990	93	43	the	the	DET
ajst-13990	93	44	images	image	NOUN
ajst-13990	93	45	at	at	ADP
ajst-13990	93	46	different	different	ADJ
ajst-13990	93	47	scales	scale	NOUN
ajst-13990	93	48	to	to	PART
ajst-13990	93	49	obtain	obtain	VERB
ajst-13990	93	50	features	feature	NOUN
ajst-13990	93	51	at	at	ADP
ajst-13990	93	52	different	different	ADJ
ajst-13990	93	53	levels	level	NOUN
ajst-13990	93	54	.	.	PUNCT
ajst-13990	94	1	the	the	DET
ajst-13990	94	2	decoder	decoder	NOUN
ajst-13990	94	3	part	part	NOUN
ajst-13990	94	4	adopts	adopt	VERB
ajst-13990	94	5	tansposed	tansposed	ADJ
ajst-13990	94	6	convolution	convolution	NOUN
ajst-13990	94	7	and	and	CCONJ
ajst-13990	94	8	skip	skip	ADJ
ajst-13990	94	9	connection	connection	NOUN
ajst-13990	94	10	,	,	PUNCT
ajst-13990	94	11	which	which	PRON
ajst-13990	94	12	is	be	AUX
ajst-13990	94	13	responsible	responsible	ADJ
ajst-13990	94	14	for	for	ADP
ajst-13990	94	15	fusing	fuse	VERB
ajst-13990	94	16	the	the	DET
ajst-13990	94	17	extracted	extract	VERB
ajst-13990	94	18	features	feature	NOUN
ajst-13990	94	19	and	and	CCONJ
ajst-13990	94	20	generating	generate	VERB
ajst-13990	94	21	the	the	DET
ajst-13990	94	22	segmentation	segmentation	NOUN
ajst-13990	94	23	results	result	NOUN
ajst-13990	94	24	,	,	PUNCT
ajst-13990	94	25	up	up	ADV
ajst-13990	94	26	-	-	PUNCT
ajst-13990	94	27	sampling	sample	VERB
ajst-13990	94	28	the	the	DET
ajst-13990	94	29	features	feature	NOUN
ajst-13990	94	30	at	at	ADP
ajst-13990	94	31	different	different	ADJ
ajst-13990	94	32	scales	scale	NOUN
ajst-13990	94	33	to	to	PART
ajst-13990	94	34	recover	recover	VERB
ajst-13990	94	35	the	the	DET
ajst-13990	94	36	position	position	NOUN
ajst-13990	94	37	information	information	NOUN
ajst-13990	94	38	of	of	ADP
ajst-13990	94	39	the	the	DET
ajst-13990	94	40	features	feature	NOUN
ajst-13990	94	41	,	,	PUNCT
ajst-13990	94	42	fusing	fuse	VERB
ajst-13990	94	43	the	the	DET
ajst-13990	94	44	features	feature	NOUN
ajst-13990	94	45	at	at	ADP
ajst-13990	94	46	different	different	ADJ
ajst-13990	94	47	scales	scale	NOUN
ajst-13990	94	48	by	by	ADP
ajst-13990	94	49	splicing	splicing	NOUN
ajst-13990	94	50	,	,	PUNCT
ajst-13990	94	51	and	and	CCONJ
ajst-13990	94	52	finally	finally	ADV
ajst-13990	94	53	obtaining	obtain	VERB
ajst-13990	94	54	the	the	DET
ajst-13990	94	55	segmentation	segmentation	NOUN
ajst-13990	94	56	results	result	NOUN
ajst-13990	94	57	after	after	ADP
ajst-13990	94	58	multiple	multiple	ADJ
ajst-13990	94	59	convolutions	convolution	NOUN
ajst-13990	94	60	.	.	PUNCT
ajst-13990	95	1	segmentation	segmentation	NOUN
ajst-13990	95	2	results	result	NOUN
ajst-13990	95	3	[	[	X
ajst-13990	95	4	18	18	NUM
ajst-13990	95	5	]	]	PUNCT
ajst-13990	95	6	segmentation	segmentation	NOUN
ajst-13990	95	7	results	result	NOUN
ajst-13990	95	8	are	be	AUX
ajst-13990	95	9	obtained	obtain	VERB
ajst-13990	95	10	after	after	ADP
ajst-13990	95	11	multiple	multiple	ADJ
ajst-13990	95	12	convolutions	convolution	NOUN
ajst-13990	95	13	.	.	PUNCT
ajst-13990	96	1	the	the	DET
ajst-13990	96	2	two	two	NUM
ajst-13990	96	3	main	main	ADJ
ajst-13990	96	4	advantages	advantage	NOUN
ajst-13990	96	5	of	of	ADP
ajst-13990	96	6	u	u	NOUN
ajst-13990	96	7	-	-	NOUN
ajst-13990	96	8	net	net	ADJ
ajst-13990	96	9	are	be	AUX
ajst-13990	96	10	(	(	PUNCT
ajst-13990	96	11	1	1	X
ajst-13990	96	12	)	)	PUNCT
ajst-13990	96	13	the	the	DET
ajst-13990	96	14	skip	skip	ADJ
ajst-13990	96	15	connection	connection	NOUN
ajst-13990	96	16	approach	approach	NOUN
ajst-13990	96	17	can	can	AUX
ajst-13990	96	18	be	be	AUX
ajst-13990	96	19	used	use	VERB
ajst-13990	96	20	by	by	ADP
ajst-13990	96	21	passing	pass	VERB
ajst-13990	96	22	features	feature	NOUN
ajst-13990	96	23	from	from	ADP
ajst-13990	96	24	different	different	ADJ
ajst-13990	96	25	stages	stage	NOUN
ajst-13990	96	26	of	of	ADP
ajst-13990	96	27	the	the	DET
ajst-13990	96	28	encoder	encoder	NOUN
ajst-13990	96	29	to	to	ADP
ajst-13990	96	30	the	the	DET
ajst-13990	96	31	decoder	decoder	NOUN
ajst-13990	96	32	,	,	PUNCT
ajst-13990	96	33	providing	provide	VERB
ajst-13990	96	34	a	a	DET
ajst-13990	96	35	large	large	ADJ
ajst-13990	96	36	amount	amount	NOUN
ajst-13990	96	37	of	of	ADP
ajst-13990	96	38	spatial	spatial	ADJ
ajst-13990	96	39	and	and	CCONJ
ajst-13990	96	40	detailed	detailed	ADJ
ajst-13990	96	41	information	information	NOUN
ajst-13990	96	42	for	for	ADP
ajst-13990	96	43	resolution	resolution	NOUN
ajst-13990	96	44	reconstruction	reconstruction	NOUN
ajst-13990	96	45	,	,	PUNCT
ajst-13990	96	46	which	which	PRON
ajst-13990	96	47	results	result	VERB
ajst-13990	96	48	in	in	ADP
ajst-13990	96	49	a	a	DET
ajst-13990	96	50	higher	high	ADJ
ajst-13990	96	51	quality	quality	NOUN
ajst-13990	96	52	reconstruction	reconstruction	NOUN
ajst-13990	96	53	;	;	PUNCT
ajst-13990	96	54	(	(	PUNCT
ajst-13990	96	55	2	2	X
ajst-13990	96	56	)	)	PUNCT
ajst-13990	96	57	progressive	progressive	ADJ
ajst-13990	96	58	resolution	resolution	NOUN
ajst-13990	96	59	reconstruction	reconstruction	NOUN
ajst-13990	96	60	,	,	PUNCT
ajst-13990	96	61	which	which	PRON
ajst-13990	96	62	is	be	AUX
ajst-13990	96	63	different	different	ADJ
ajst-13990	96	64	from	from	ADP
ajst-13990	96	65	the	the	DET
ajst-13990	96	66	early	early	ADJ
ajst-13990	96	67	full	full	ADJ
ajst-13990	96	68	convolutional	convolutional	ADJ
ajst-13990	96	69	networks	network	NOUN
ajst-13990	96	70	,	,	PUNCT
ajst-13990	96	71	and	and	CCONJ
ajst-13990	96	72	this	this	DET
ajst-13990	96	73	approach	approach	NOUN
ajst-13990	96	74	reduces	reduce	VERB
ajst-13990	96	75	the	the	DET
ajst-13990	96	76	reconstruction	reconstruction	NOUN
ajst-13990	96	77	step	step	NOUN
ajst-13990	96	78	size	size	NOUN
ajst-13990	96	79	,	,	PUNCT
ajst-13990	96	80	which	which	PRON
ajst-13990	96	81	is	be	AUX
ajst-13990	96	82	conducive	conducive	ADJ
ajst-13990	96	83	to	to	ADP
ajst-13990	96	84	the	the	DET
ajst-13990	96	85	model	model	NOUN
ajst-13990	96	86	's	's	PART
ajst-13990	96	87	self	self	NOUN
ajst-13990	96	88	correction	correction	NOUN
ajst-13990	96	89	also	also	ADV
ajst-13990	96	90	reduces	reduce	VERB
ajst-13990	96	91	the	the	DET
ajst-13990	96	92	learning	learning	NOUN
ajst-13990	96	93	difficulty	difficulty	NOUN
ajst-13990	96	94	.	.	PUNCT
ajst-13990	97	1	this	this	PRON
ajst-13990	97	2	ensures	ensure	VERB
ajst-13990	97	3	that	that	SCONJ
ajst-13990	97	4	the	the	DET
ajst-13990	97	5	final	final	ADJ
ajst-13990	97	6	recovered	recover	VERB
ajst-13990	97	7	feature	feature	NOUN
ajst-13990	97	8	map	map	NOUN
ajst-13990	97	9	incorporates	incorporate	VERB
ajst-13990	97	10	more	more	ADJ
ajst-13990	97	11	low	low	ADJ
ajst-13990	97	12	-	-	PUNCT
ajst-13990	97	13	level	level	NOUN
ajst-13990	97	14	features	feature	NOUN
ajst-13990	97	15	,	,	PUNCT
ajst-13990	97	16	and	and	CCONJ
ajst-13990	97	17	also	also	ADV
ajst-13990	97	18	allows	allow	VERB
ajst-13990	97	19	the	the	DET
ajst-13990	97	20	fusion	fusion	NOUN
ajst-13990	97	21	of	of	ADP
ajst-13990	97	22	features	feature	NOUN
ajst-13990	97	23	at	at	ADP
ajst-13990	97	24	different	different	ADJ
ajst-13990	97	25	scales	scale	NOUN
ajst-13990	97	26	,	,	PUNCT
ajst-13990	97	27	thus	thus	ADV
ajst-13990	97	28	allowing	allow	VERB
ajst-13990	97	29	for	for	ADP
ajst-13990	97	30	multi	multi	ADJ
ajst-13990	97	31	-	-	ADJ
ajst-13990	97	32	scale	scale	ADJ
ajst-13990	97	33	prediction	prediction	NOUN
ajst-13990	97	34	and	and	CCONJ
ajst-13990	97	35	deep	deep	ADJ
ajst-13990	97	36	-	-	PUNCT
ajst-13990	97	37	level	level	NOUN
ajst-13990	97	38	supervision	supervision	NOUN
ajst-13990	97	39	.	.	PUNCT
ajst-13990	98	1	meanwhile	meanwhile	ADV
ajst-13990	98	2	,	,	PUNCT
ajst-13990	98	3	the	the	DET
ajst-13990	98	4	4	4	NUM
ajst-13990	98	5	times	time	NOUN
ajst-13990	98	6	up	up	ADP
ajst-13990	98	7	-	-	PUNCT
ajst-13990	98	8	sampling	sampling	NOUN
ajst-13990	98	9	also	also	ADV
ajst-13990	98	10	makes	make	VERB
ajst-13990	98	11	the	the	DET
ajst-13990	98	12	information	information	NOUN
ajst-13990	98	13	such	such	ADJ
ajst-13990	98	14	as	as	SCONJ
ajst-13990	98	15	image	image	NOUN
ajst-13990	98	16	edges	edge	VERB
ajst-13990	98	17	more	more	ADV
ajst-13990	98	18	fine	fine	ADJ
ajst-13990	98	19	.	.	PUNCT
ajst-13990	99	1	the	the	DET
ajst-13990	99	2	unique	unique	ADJ
ajst-13990	99	3	"	"	PUNCT
ajst-13990	99	4	u	u	NOUN
ajst-13990	99	5	"	"	PUNCT
ajst-13990	99	6	structure	structure	NOUN
ajst-13990	99	7	of	of	ADP
ajst-13990	99	8	u	u	NOUN
ajst-13990	99	9	-	-	NOUN
ajst-13990	99	10	net	net	NOUN
ajst-13990	99	11	makes	make	VERB
ajst-13990	99	12	it	it	PRON
ajst-13990	99	13	possible	possible	ADJ
ajst-13990	99	14	to	to	PART
ajst-13990	99	15	obtain	obtain	VERB
ajst-13990	99	16	the	the	DET
ajst-13990	99	17	deep	deep	ADJ
ajst-13990	99	18	spatial	spatial	ADJ
ajst-13990	99	19	information	information	NOUN
ajst-13990	99	20	of	of	ADP
ajst-13990	99	21	the	the	DET
ajst-13990	99	22	image	image	NOUN
ajst-13990	99	23	through	through	ADP
ajst-13990	99	24	a	a	DET
ajst-13990	99	25	small	small	ADJ
ajst-13990	99	26	amount	amount	NOUN
ajst-13990	99	27	of	of	ADP
ajst-13990	99	28	computation	computation	NOUN
ajst-13990	99	29	,	,	PUNCT
ajst-13990	99	30	which	which	PRON
ajst-13990	99	31	makes	make	VERB
ajst-13990	99	32	the	the	DET
ajst-13990	99	33	details	detail	NOUN
ajst-13990	99	34	of	of	ADP
ajst-13990	99	35	the	the	DET
ajst-13990	99	36	image	image	NOUN
ajst-13990	99	37	prediction	prediction	NOUN
ajst-13990	99	38	more	more	ADV
ajst-13990	99	39	accurate	accurate	ADJ
ajst-13990	99	40	,	,	PUNCT
ajst-13990	99	41	so	so	SCONJ
ajst-13990	99	42	this	this	DET
ajst-13990	99	43	paper	paper	NOUN
ajst-13990	99	44	adopts	adopt	VERB
ajst-13990	99	45	a	a	DET
ajst-13990	99	46	similar	similar	ADJ
ajst-13990	99	47	coder	coder	NOUN
ajst-13990	99	48	-	-	PUNCT
ajst-13990	99	49	decoder	decoder	NOUN
ajst-13990	99	50	structure	structure	NOUN
ajst-13990	99	51	as	as	ADP
ajst-13990	99	52	the	the	DET
ajst-13990	99	53	architecture	architecture	NOUN
ajst-13990	99	54	of	of	ADP
ajst-13990	99	55	image	image	NOUN
ajst-13990	99	56	fusion	fusion	NOUN
ajst-13990	99	57	.	.	PUNCT
ajst-13990	100	1	3.3	3.3	NUM
ajst-13990	100	2	.	.	PUNCT
ajst-13990	101	1	non	non	ADJ
ajst-13990	101	2	-	-	ADJ
ajst-13990	101	3	local	local	ADJ
ajst-13990	101	4	spatial	spatial	ADJ
ajst-13990	101	5	attention	attention	NOUN
ajst-13990	101	6	the	the	DET
ajst-13990	101	7	convolution	convolution	NOUN
ajst-13990	101	8	unit	unit	NOUN
ajst-13990	101	9	in	in	ADP
ajst-13990	101	10	cnn	cnn	PROPN
ajst-13990	101	11	only	only	ADV
ajst-13990	101	12	focuses	focus	VERB
ajst-13990	101	13	on	on	ADP
ajst-13990	101	14	the	the	DET
ajst-13990	101	15	region	region	NOUN
ajst-13990	101	16	of	of	ADP
ajst-13990	101	17	the	the	DET
ajst-13990	101	18	neighbourhood	neighbourhood	NOUN
ajst-13990	101	19	kernel	kernel	NOUN
ajst-13990	101	20	size	size	NOUN
ajst-13990	101	21	each	each	DET
ajst-13990	101	22	time	time	NOUN
ajst-13990	101	23	,	,	PUNCT
ajst-13990	101	24	even	even	ADV
ajst-13990	101	25	if	if	SCONJ
ajst-13990	101	26	the	the	DET
ajst-13990	101	27	feeling	feeling	NOUN
ajst-13990	101	28	field	field	NOUN
ajst-13990	101	29	is	be	AUX
ajst-13990	101	30	getting	get	VERB
ajst-13990	101	31	bigger	big	ADJ
ajst-13990	101	32	and	and	CCONJ
ajst-13990	101	33	bigger	big	ADJ
ajst-13990	101	34	in	in	ADP
ajst-13990	101	35	the	the	DET
ajst-13990	101	36	later	later	ADJ
ajst-13990	101	37	stage	stage	NOUN
ajst-13990	101	38	,	,	PUNCT
ajst-13990	101	39	it	it	PRON
ajst-13990	101	40	is	be	AUX
ajst-13990	101	41	still	still	ADV
ajst-13990	101	42	the	the	DET
ajst-13990	101	43	operation	operation	NOUN
ajst-13990	101	44	of	of	ADP
ajst-13990	101	45	the	the	DET
ajst-13990	101	46	local	local	ADJ
ajst-13990	101	47	region	region	NOUN
ajst-13990	101	48	after	after	ADV
ajst-13990	101	49	all	all	ADV
ajst-13990	101	50	,	,	PUNCT
ajst-13990	101	51	which	which	PRON
ajst-13990	101	52	ignores	ignore	VERB
ajst-13990	101	53	the	the	DET
ajst-13990	101	54	contribution	contribution	NOUN
ajst-13990	101	55	of	of	ADP
ajst-13990	101	56	the	the	DET
ajst-13990	101	57	other	other	ADJ
ajst-13990	101	58	slices	slice	NOUN
ajst-13990	101	59	of	of	ADP
ajst-13990	101	60	the	the	DET
ajst-13990	101	61	global	global	ADJ
ajst-13990	101	62	(	(	PUNCT
ajst-13990	101	63	e.g.	e.g.	ADJ
ajst-13990	101	64	,	,	PUNCT
ajst-13990	101	65	very	very	ADV
ajst-13990	101	66	far	far	ADV
ajst-13990	101	67	pixels	pixel	NOUN
ajst-13990	101	68	)	)	PUNCT
ajst-13990	101	69	to	to	ADP
ajst-13990	101	70	the	the	DET
ajst-13990	101	71	current	current	ADJ
ajst-13990	101	72	region	region	NOUN
ajst-13990	101	73	.	.	PUNCT
ajst-13990	102	1	xiaolong	xiaolong	PROPN
ajst-13990	102	2	wang	wang	PROPN
ajst-13990	102	3	et	et	PROPN
ajst-13990	102	4	al.[19	al.[19	PROPN
ajst-13990	102	5	]	]	PUNCT
ajst-13990	102	6	proposed	propose	VERB
ajst-13990	102	7	a	a	DET
ajst-13990	102	8	self	self	NOUN
ajst-13990	102	9	-	-	PUNCT
ajst-13990	102	10	attention	attention	NOUN
ajst-13990	102	11	model	model	NOUN
ajst-13990	102	12	non	non	ADJ
ajst-13990	102	13	-	-	ADJ
ajst-13990	102	14	local	local	ADJ
ajst-13990	102	15	neural	neural	ADJ
ajst-13990	102	16	network	network	NOUN
ajst-13990	102	17	in	in	ADP
ajst-13990	102	18	2018	2018	NUM
ajst-13990	102	19	,	,	PUNCT
ajst-13990	102	20	which	which	PRON
ajst-13990	102	21	is	be	AUX
ajst-13990	102	22	somewhat	somewhat	ADV
ajst-13990	102	23	similar	similar	ADJ
ajst-13990	102	24	to	to	ADP
ajst-13990	102	25	non	non	ADJ
ajst-13990	102	26	-	-	ADJ
ajst-13990	102	27	local	local	ADJ
ajst-13990	102	28	means	mean	VERB
ajst-13990	102	29	nonlocal	nonlocal	ADJ
ajst-13990	102	30	mean	mean	ADJ
ajst-13990	102	31	-	-	PUNCT
ajst-13990	102	32	desiccation	desiccation	NOUN
ajst-13990	102	33	filtering	filtering	NOUN
ajst-13990	102	34	.	.	PUNCT
ajst-13990	103	1	ordinary	ordinary	ADJ
ajst-13990	103	2	filtering	filtering	NOUN
ajst-13990	103	3	involves	involve	VERB
ajst-13990	103	4	a	a	DET
ajst-13990	103	5	3×3	3×3	NUM
ajst-13990	103	6	convolutional	convolutional	ADJ
ajst-13990	103	7	kernel	kernel	NOUN
ajst-13990	103	8	,	,	PUNCT
ajst-13990	103	9	which	which	PRON
ajst-13990	103	10	is	be	AUX
ajst-13990	103	11	then	then	ADV
ajst-13990	103	12	shifted	shift	VERB
ajst-13990	103	13	over	over	ADP
ajst-13990	103	14	the	the	DET
ajst-13990	103	15	entire	entire	ADJ
ajst-13990	103	16	image	image	NOUN
ajst-13990	103	17	,	,	PUNCT
ajst-13990	103	18	dealing	deal	VERB
ajst-13990	103	19	with	with	ADP
ajst-13990	103	20	information	information	NOUN
ajst-13990	103	21	that	that	PRON
ajst-13990	103	22	is	be	AUX
ajst-13990	103	23	localised	localise	VERB
ajst-13990	103	24	to	to	ADP
ajst-13990	103	25	the	the	DET
ajst-13990	103	26	3×3	3×3	NUM
ajst-13990	103	27	.	.	PUNCT
ajst-13990	104	1	the	the	DET
ajst-13990	104	2	non	non	ADJ
ajst-13990	104	3	-	-	ADJ
ajst-13990	104	4	local	local	ADJ
ajst-13990	104	5	means	mean	NOUN
ajst-13990	104	6	operation	operation	NOUN
ajst-13990	104	7	,	,	PUNCT
ajst-13990	104	8	on	on	ADP
ajst-13990	104	9	the	the	DET
ajst-13990	104	10	other	other	ADJ
ajst-13990	104	11	hand	hand	NOUN
ajst-13990	104	12	,	,	PUNCT
ajst-13990	104	13	combines	combine	VERB
ajst-13990	104	14	a	a	DET
ajst-13990	104	15	relatively	relatively	ADV
ajst-13990	104	16	large	large	ADJ
ajst-13990	104	17	search	search	NOUN
ajst-13990	104	18	range	range	NOUN
ajst-13990	104	19	and	and	CCONJ
ajst-13990	104	20	weights	weight	VERB
ajst-13990	104	21	it	it	PRON
ajst-13990	104	22	.	.	PUNCT
ajst-13990	105	1	similarly	similarly	ADV
ajst-13990	105	2	,	,	PUNCT
ajst-13990	105	3	nonlocal	nonlocal	ADJ
ajst-13990	105	4	is	be	AUX
ajst-13990	105	5	similar	similar	ADJ
ajst-13990	105	6	to	to	ADP
ajst-13990	105	7	the	the	DET
ajst-13990	105	8	above	above	ADJ
ajst-13990	105	9	operations	operation	NOUN
ajst-13990	105	10	,	,	PUNCT
ajst-13990	105	11	but	but	CCONJ
ajst-13990	105	12	it	it	PRON
ajst-13990	105	13	focuses	focus	VERB
ajst-13990	105	14	on	on	ADP
ajst-13990	105	15	the	the	DET
ajst-13990	105	16	extent	extent	NOUN
ajst-13990	105	17	of	of	ADP
ajst-13990	105	18	the	the	DET
ajst-13990	105	19	receptive	receptive	ADJ
ajst-13990	105	20	field	field	NOUN
ajst-13990	105	21	in	in	ADP
ajst-13990	105	22	the	the	DET
ajst-13990	105	23	neural	neural	ADJ
ajst-13990	105	24	network	network	NOUN
ajst-13990	105	25	.	.	PUNCT
ajst-13990	106	1	generally	generally	ADV
ajst-13990	106	2	convolutional	convolutional	ADJ
ajst-13990	106	3	receptive	receptive	ADJ
ajst-13990	106	4	fields	field	NOUN
ajst-13990	106	5	are	be	AUX
ajst-13990	106	6	3×3	3×3	NUM
ajst-13990	106	7	or	or	CCONJ
ajst-13990	106	8	5×5	5×5	NUM
ajst-13990	106	9	in	in	ADP
ajst-13990	106	10	size	size	NOUN
ajst-13990	106	11	,	,	PUNCT
ajst-13990	106	12	whereas	whereas	SCONJ
ajst-13990	106	13	using	use	VERB
ajst-13990	106	14	non	non	ADJ
ajst-13990	106	15	-	-	ADJ
ajst-13990	106	16	local	local	ADJ
ajst-13990	106	17	allows	allow	VERB
ajst-13990	106	18	the	the	DET
ajst-13990	106	19	receptive	receptive	ADJ
ajst-13990	106	20	field	field	NOUN
ajst-13990	106	21	to	to	PART
ajst-13990	106	22	be	be	AUX
ajst-13990	106	23	very	very	ADV
ajst-13990	106	24	large	large	ADJ
ajst-13990	106	25	rather	rather	ADV
ajst-13990	106	26	than	than	ADP
ajst-13990	106	27	being	be	AUX
ajst-13990	106	28	confined	confine	VERB
ajst-13990	106	29	to	to	ADP
ajst-13990	106	30	a	a	DET
ajst-13990	106	31	local	local	ADJ
ajst-13990	106	32	field.non	field.non	NOUN
ajst-13990	106	33	-	-	ADJ
ajst-13990	106	34	local	local	ADJ
ajst-13990	106	35	captures	capture	VERB
ajst-13990	106	36	the	the	DET
ajst-13990	106	37	relationship	relationship	NOUN
ajst-13990	106	38	of	of	ADP
ajst-13990	106	39	the	the	DET
ajst-13990	106	40	remote	remote	NOUN
ajst-13990	106	41	,	,	PUNCT
ajst-13990	106	42	which	which	PRON
ajst-13990	106	43	for	for	ADP
ajst-13990	106	44	multi	multi	ADJ
ajst-13990	106	45	-	-	ADJ
ajst-13990	106	46	channel	channel	ADJ
ajst-13990	106	47	remote	remote	ADJ
ajst-13990	106	48	sensing	sensing	NOUN
ajst-13990	106	49	images	image	NOUN
ajst-13990	106	50	is	be	AUX
ajst-13990	106	51	counting	count	VERB
ajst-13990	106	52	all	all	DET
ajst-13990	106	53	the	the	DET
ajst-13990	106	54	pixels	pixel	NOUN
ajst-13990	106	55	in	in	ADP
ajst-13990	106	56	all	all	DET
ajst-13990	106	57	the	the	DET
ajst-13990	106	58	channels	channel	NOUN
ajst-13990	106	59	,	,	PUNCT
ajst-13990	106	60	and	and	CCONJ
ajst-13990	106	61	weighting	weight	VERB
ajst-13990	106	62	the	the	DET
ajst-13990	106	63	relationship	relationship	NOUN
ajst-13990	106	64	of	of	ADP
ajst-13990	106	65	the	the	DET
ajst-13990	106	66	current	current	ADJ
ajst-13990	106	67	pixel	pixel	NOUN
ajst-13990	106	68	.	.	PUNCT
ajst-13990	107	1	66	66	NUM
ajst-13990	107	2	figure	figure	NOUN
ajst-13990	107	3	3	3	NUM
ajst-13990	107	4	.	.	PUNCT
ajst-13990	107	5	non	non	ADJ
ajst-13990	107	6	-	-	ADJ
ajst-13990	107	7	local	local	ADJ
ajst-13990	107	8	spatial	spatial	ADJ
ajst-13990	107	9	attention	attention	NOUN
ajst-13990	107	10	structure[82	structure[82	NOUN
ajst-13990	107	11	]	]	PUNCT
ajst-13990	107	12	the	the	DET
ajst-13990	107	13	structure	structure	NOUN
ajst-13990	107	14	of	of	ADP
ajst-13990	107	15	non	non	ADJ
ajst-13990	107	16	-	-	ADJ
ajst-13990	107	17	local	local	ADJ
ajst-13990	107	18	is	be	AUX
ajst-13990	107	19	shown	show	VERB
ajst-13990	107	20	in	in	ADP
ajst-13990	107	21	figure	figure	NOUN
ajst-13990	107	22	3.nonlocal	3.nonlocal	NUM
ajst-13990	107	23	can	can	AUX
ajst-13990	107	24	be	be	AUX
ajst-13990	107	25	used	use	VERB
ajst-13990	107	26	as	as	ADP
ajst-13990	107	27	a	a	DET
ajst-13990	107	28	flexible	flexible	ADJ
ajst-13990	107	29	component	component	NOUN
ajst-13990	107	30	with	with	ADP
ajst-13990	107	31	a	a	DET
ajst-13990	107	32	convolutional	convolutional	ADJ
ajst-13990	107	33	or	or	CCONJ
ajst-13990	107	34	recursive	recursive	ADJ
ajst-13990	107	35	layer	layer	NOUN
ajst-13990	107	36	.	.	PUNCT
ajst-13990	108	1	it	it	PRON
ajst-13990	108	2	can	can	AUX
ajst-13990	108	3	be	be	AUX
ajst-13990	108	4	added	add	VERB
ajst-13990	108	5	to	to	ADP
ajst-13990	108	6	the	the	DET
ajst-13990	108	7	early	early	ADJ
ajst-13990	108	8	parts	part	NOUN
ajst-13990	108	9	of	of	ADP
ajst-13990	108	10	a	a	DET
ajst-13990	108	11	deep	deep	ADJ
ajst-13990	108	12	neural	neural	ADJ
ajst-13990	108	13	network	network	NOUN
ajst-13990	108	14	,	,	PUNCT
ajst-13990	108	15	unlike	unlike	ADP
ajst-13990	108	16	the	the	DET
ajst-13990	108	17	fully	fully	ADV
ajst-13990	108	18	connected	connected	ADJ
ajst-13990	108	19	layers	layer	NOUN
ajst-13990	108	20	that	that	PRON
ajst-13990	108	21	are	be	AUX
ajst-13990	108	22	often	often	ADV
ajst-13990	108	23	used	use	VERB
ajst-13990	108	24	eventually	eventually	ADV
ajst-13990	108	25	.	.	PUNCT
ajst-13990	109	1	this	this	PRON
ajst-13990	109	2	allows	allow	VERB
ajst-13990	109	3	the	the	DET
ajst-13990	109	4	model	model	NOUN
ajst-13990	109	5	to	to	PART
ajst-13990	109	6	build	build	VERB
ajst-13990	109	7	richer	rich	ADJ
ajst-13990	109	8	hierarchies	hierarchy	NOUN
ajst-13990	109	9	that	that	PRON
ajst-13990	109	10	combine	combine	VERB
ajst-13990	109	11	non	non	ADJ
ajst-13990	109	12	-	-	ADJ
ajst-13990	109	13	local	local	ADJ
ajst-13990	109	14	and	and	CCONJ
ajst-13990	109	15	local	local	ADJ
ajst-13990	109	16	information	information	NOUN
ajst-13990	109	17	.	.	PUNCT
ajst-13990	110	1	3.4	3.4	NUM
ajst-13990	110	2	.	.	PUNCT
ajst-13990	110	3	multi	multi	ADJ
ajst-13990	110	4	-	-	ADJ
ajst-13990	110	5	source	source	ADJ
ajst-13990	110	6	fusion	fusion	NOUN
ajst-13990	110	7	network	network	NOUN
ajst-13990	110	8	construction	construction	NOUN
ajst-13990	110	9	based	base	VERB
ajst-13990	110	10	on	on	ADP
ajst-13990	110	11	u	u	NOUN
ajst-13990	110	12	-	-	NOUN
ajst-13990	110	13	net	net	ADJ
ajst-13990	110	14	and	and	CCONJ
ajst-13990	110	15	non	non	ADJ
ajst-13990	110	16	-	-	ADJ
ajst-13990	110	17	local	local	ADJ
ajst-13990	110	18	spatial	spatial	ADJ
ajst-13990	110	19	attention	attention	NOUN
ajst-13990	110	20	in	in	ADP
ajst-13990	110	21	order	order	NOUN
ajst-13990	110	22	to	to	PART
ajst-13990	110	23	better	well	ADV
ajst-13990	110	24	fuse	fuse	VERB
ajst-13990	110	25	multi	multi	ADJ
ajst-13990	110	26	-	-	NOUN
ajst-13990	110	27	source	source	NOUN
ajst-13990	110	28	data	datum	NOUN
ajst-13990	110	29	to	to	PART
ajst-13990	110	30	construct	construct	VERB
ajst-13990	110	31	synthetic	synthetic	ADJ
ajst-13990	110	32	components	component	NOUN
ajst-13990	110	33	,	,	PUNCT
ajst-13990	110	34	and	and	CCONJ
ajst-13990	110	35	then	then	ADV
ajst-13990	110	36	reconstruct	reconstruct	VERB
ajst-13990	110	37	the	the	DET
ajst-13990	110	38	spatial	spatial	ADJ
ajst-13990	110	39	spectrum	spectrum	NOUN
ajst-13990	110	40	features	feature	NOUN
ajst-13990	110	41	of	of	ADP
ajst-13990	110	42	multi	multi	ADJ
ajst-13990	110	43	-	-	ADJ
ajst-13990	110	44	source	source	NOUN
ajst-13990	110	45	data	datum	NOUN
ajst-13990	110	46	.	.	PUNCT
ajst-13990	111	1	in	in	ADP
ajst-13990	111	2	this	this	DET
ajst-13990	111	3	paper	paper	NOUN
ajst-13990	111	4	,	,	PUNCT
ajst-13990	111	5	based	base	VERB
ajst-13990	111	6	on	on	ADP
ajst-13990	111	7	the	the	DET
ajst-13990	111	8	gsa	gsa	PROPN
ajst-13990	111	9	fusion	fusion	NOUN
ajst-13990	111	10	method	method	NOUN
ajst-13990	111	11	,	,	PUNCT
ajst-13990	111	12	a	a	DET
ajst-13990	111	13	multi	multi	ADJ
ajst-13990	111	14	-	-	ADJ
ajst-13990	111	15	source	source	ADJ
ajst-13990	111	16	data	data	NOUN
ajst-13990	111	17	fusion	fusion	NOUN
ajst-13990	111	18	network	network	NOUN
ajst-13990	111	19	is	be	AUX
ajst-13990	111	20	constructed	construct	VERB
ajst-13990	111	21	by	by	ADP
ajst-13990	111	22	using	use	VERB
ajst-13990	111	23	the	the	DET
ajst-13990	111	24	u	u	ADJ
ajst-13990	111	25	-	-	ADJ
ajst-13990	111	26	net	net	ADJ
ajst-13990	111	27	coder	coder	NOUN
ajst-13990	111	28	-	-	PUNCT
ajst-13990	111	29	decoder	decoder	NOUN
ajst-13990	111	30	structure	structure	NOUN
ajst-13990	111	31	combined	combine	VERB
ajst-13990	111	32	with	with	ADP
ajst-13990	111	33	the	the	DET
ajst-13990	111	34	non	non	ADJ
ajst-13990	111	35	-	-	ADJ
ajst-13990	111	36	local	local	ADJ
ajst-13990	111	37	spatial	spatial	ADJ
ajst-13990	111	38	attention	attention	NOUN
ajst-13990	111	39	mechanism	mechanism	NOUN
ajst-13990	111	40	,	,	PUNCT
ajst-13990	111	41	and	and	CCONJ
ajst-13990	111	42	its	its	PRON
ajst-13990	111	43	specific	specific	ADJ
ajst-13990	111	44	structure	structure	NOUN
ajst-13990	111	45	is	be	AUX
ajst-13990	111	46	shown	show	VERB
ajst-13990	111	47	in	in	ADP
ajst-13990	111	48	figure	figure	NOUN
ajst-13990	111	49	4	4	NUM
ajst-13990	111	50	.	.	PUNCT
ajst-13990	112	1	the	the	DET
ajst-13990	112	2	degree	degree	NOUN
ajst-13990	112	3	of	of	ADP
ajst-13990	112	4	correlation	correlation	NOUN
ajst-13990	112	5	between	between	ADP
ajst-13990	112	6	different	different	ADJ
ajst-13990	112	7	channels	channel	NOUN
ajst-13990	112	8	and	and	CCONJ
ajst-13990	112	9	the	the	DET
ajst-13990	112	10	final	final	ADJ
ajst-13990	112	11	prediction	prediction	NOUN
ajst-13990	112	12	result	result	NOUN
ajst-13990	112	13	is	be	AUX
ajst-13990	112	14	first	first	ADV
ajst-13990	112	15	modelled	model	VERB
ajst-13990	112	16	through	through	ADP
ajst-13990	112	17	the	the	DET
ajst-13990	112	18	attention	attention	NOUN
ajst-13990	112	19	mechanism	mechanism	NOUN
ajst-13990	112	20	,	,	PUNCT
ajst-13990	112	21	so	so	SCONJ
ajst-13990	112	22	that	that	SCONJ
ajst-13990	112	23	the	the	DET
ajst-13990	112	24	network	network	NOUN
ajst-13990	112	25	can	can	AUX
ajst-13990	112	26	correct	correct	VERB
ajst-13990	112	27	the	the	DET
ajst-13990	112	28	weights	weight	NOUN
ajst-13990	112	29	of	of	ADP
ajst-13990	112	30	different	different	ADJ
ajst-13990	112	31	channels	channel	NOUN
ajst-13990	112	32	by	by	ADP
ajst-13990	112	33	learning	learn	VERB
ajst-13990	112	34	loss	loss	NOUN
ajst-13990	112	35	,	,	PUNCT
ajst-13990	112	36	and	and	CCONJ
ajst-13990	112	37	then	then	ADV
ajst-13990	112	38	the	the	DET
ajst-13990	112	39	data	datum	NOUN
ajst-13990	112	40	of	of	ADP
ajst-13990	112	41	different	different	ADJ
ajst-13990	112	42	channels	channel	NOUN
ajst-13990	112	43	are	be	AUX
ajst-13990	112	44	weighted	weight	VERB
ajst-13990	112	45	and	and	CCONJ
ajst-13990	112	46	input	input	VERB
ajst-13990	112	47	into	into	ADP
ajst-13990	112	48	the	the	DET
ajst-13990	112	49	encoder	encoder	NOUN
ajst-13990	112	50	.	.	PUNCT
ajst-13990	113	1	the	the	DET
ajst-13990	113	2	multi	multi	ADJ
ajst-13990	113	3	-	-	ADJ
ajst-13990	113	4	source	source	NOUN
ajst-13990	113	5	remote	remote	ADJ
ajst-13990	113	6	sensing	sense	VERB
ajst-13990	113	7	data	datum	NOUN
ajst-13990	113	8	are	be	AUX
ajst-13990	113	9	first	first	ADV
ajst-13990	113	10	consecutively	consecutively	ADV
ajst-13990	113	11	subjected	subject	VERB
ajst-13990	113	12	to	to	ADP
ajst-13990	113	13	three	three	NUM
ajst-13990	113	14	3	3	NUM
ajst-13990	113	15	*	*	SYM
ajst-13990	113	16	3	3	NUM
ajst-13990	113	17	convolutions	convolution	NOUN
ajst-13990	113	18	in	in	ADP
ajst-13990	113	19	the	the	DET
ajst-13990	113	20	encoder	encoder	NOUN
ajst-13990	113	21	to	to	PART
ajst-13990	113	22	obtain	obtain	VERB
ajst-13990	113	23	spatial	spatial	ADJ
ajst-13990	113	24	features	feature	NOUN
ajst-13990	113	25	at	at	ADP
ajst-13990	113	26	four	four	NUM
ajst-13990	113	27	different	different	ADJ
ajst-13990	113	28	scales	scale	NOUN
ajst-13990	113	29	including	include	VERB
ajst-13990	113	30	the	the	DET
ajst-13990	113	31	original	original	ADJ
ajst-13990	113	32	data	datum	NOUN
ajst-13990	113	33	scale	scale	NOUN
ajst-13990	113	34	,	,	PUNCT
ajst-13990	113	35	respectively	respectively	ADV
ajst-13990	113	36	,	,	PUNCT
ajst-13990	113	37	which	which	PRON
ajst-13990	113	38	are	be	AUX
ajst-13990	113	39	adopted	adopt	VERB
ajst-13990	113	40	after	after	ADP
ajst-13990	113	41	which	which	PRON
ajst-13990	113	42	the	the	DET
ajst-13990	113	43	data	datum	NOUN
ajst-13990	113	44	at	at	ADP
ajst-13990	113	45	each	each	DET
ajst-13990	113	46	scale	scale	NOUN
ajst-13990	113	47	are	be	AUX
ajst-13990	113	48	used	use	VERB
ajst-13990	113	49	to	to	PART
ajst-13990	113	50	learn	learn	VERB
ajst-13990	113	51	the	the	DET
ajst-13990	113	52	remote	remote	ADJ
ajst-13990	113	53	relationship	relationship	NOUN
ajst-13990	113	54	at	at	ADP
ajst-13990	113	55	the	the	DET
ajst-13990	113	56	current	current	ADJ
ajst-13990	113	57	scale	scale	NOUN
ajst-13990	113	58	through	through	ADP
ajst-13990	113	59	a	a	DET
ajst-13990	113	60	non	non	ADJ
ajst-13990	113	61	-	-	ADJ
ajst-13990	113	62	local	local	ADJ
ajst-13990	113	63	module	module	NOUN
ajst-13990	113	64	.	.	PUNCT
ajst-13990	114	1	finally	finally	ADV
ajst-13990	114	2	the	the	DET
ajst-13990	114	3	model	model	NOUN
ajst-13990	114	4	aggregates	aggregate	VERB
ajst-13990	114	5	the	the	DET
ajst-13990	114	6	null	null	ADJ
ajst-13990	114	7	spectrum	spectrum	NOUN
ajst-13990	114	8	features	feature	NOUN
ajst-13990	114	9	of	of	ADP
ajst-13990	114	10	different	different	ADJ
ajst-13990	114	11	channels	channel	NOUN
ajst-13990	114	12	by	by	ADP
ajst-13990	114	13	a	a	DET
ajst-13990	114	14	1	1	NUM
ajst-13990	114	15	*	*	SYM
ajst-13990	114	16	1	1	NUM
ajst-13990	114	17	convolution	convolution	NOUN
ajst-13990	114	18	and	and	CCONJ
ajst-13990	114	19	outputs	output	VERB
ajst-13990	114	20	the	the	DET
ajst-13990	114	21	fusion	fusion	NOUN
ajst-13990	114	22	result	result	NOUN
ajst-13990	114	23	.	.	PUNCT
ajst-13990	115	1	figure	figure	VERB
ajst-13990	115	2	4	4	NUM
ajst-13990	115	3	.	.	PUNCT
ajst-13990	115	4	structural	structural	ADJ
ajst-13990	115	5	diagram	diagram	NOUN
ajst-13990	115	6	of	of	ADP
ajst-13990	115	7	multi	multi	ADJ
ajst-13990	115	8	-	-	ADJ
ajst-13990	115	9	source	source	NOUN
ajst-13990	115	10	data	data	NOUN
ajst-13990	115	11	fusion	fusion	NOUN
ajst-13990	115	12	network	network	NOUN
ajst-13990	115	13	based	base	VERB
ajst-13990	115	14	on	on	ADP
ajst-13990	115	15	spatial	spatial	ADJ
ajst-13990	115	16	attention	attention	NOUN
ajst-13990	115	17	and	and	CCONJ
ajst-13990	115	18	u	u	NOUN
ajst-13990	115	19	-	-	ADJ
ajst-13990	115	20	net	net	ADJ
ajst-13990	115	21	coder	coder	NOUN
ajst-13990	115	22	-	-	PUNCT
ajst-13990	115	23	decoder	decoder	NOUN
ajst-13990	115	24	4	4	NUM
ajst-13990	115	25	.	.	PUNCT
ajst-13990	116	1	analysis	analysis	NOUN
ajst-13990	116	2	of	of	ADP
ajst-13990	116	3	integration	integration	NOUN
ajst-13990	116	4	results	result	VERB
ajst-13990	116	5	the	the	DET
ajst-13990	116	6	experiments	experiment	NOUN
ajst-13990	116	7	in	in	ADP
ajst-13990	116	8	this	this	DET
ajst-13990	116	9	chapter	chapter	NOUN
ajst-13990	116	10	analyse	analyse	VERB
ajst-13990	116	11	the	the	DET
ajst-13990	116	12	results	result	NOUN
ajst-13990	116	13	of	of	ADP
ajst-13990	116	14	the	the	DET
ajst-13990	116	15	fusion	fusion	NOUN
ajst-13990	116	16	experiments	experiment	NOUN
ajst-13990	116	17	of	of	ADP
ajst-13990	116	18	gf-2	gf-2	PRON
ajst-13990	116	19	images	image	NOUN
ajst-13990	116	20	and	and	CCONJ
ajst-13990	116	21	sentinel-2	sentinel-2	ADJ
ajst-13990	116	22	images	image	NOUN
ajst-13990	116	23	based	base	VERB
ajst-13990	116	24	on	on	ADP
ajst-13990	116	25	the	the	DET
ajst-13990	116	26	close	close	ADJ
ajst-13990	116	27	proximity	proximity	NOUN
ajst-13990	116	28	of	of	ADP
ajst-13990	116	29	winter	winter	NOUN
ajst-13990	116	30	time	time	NOUN
ajst-13990	116	31	in	in	ADP
ajst-13990	116	32	the	the	DET
ajst-13990	116	33	urban	urban	ADJ
ajst-13990	116	34	and	and	CCONJ
ajst-13990	116	35	suburban	suburban	ADJ
ajst-13990	116	36	areas	area	NOUN
ajst-13990	116	37	.	.	PUNCT
ajst-13990	117	1	in	in	ADP
ajst-13990	117	2	order	order	NOUN
ajst-13990	117	3	to	to	PART
ajst-13990	117	4	better	well	ADV
ajst-13990	117	5	analyse	analyse	VERB
ajst-13990	117	6	the	the	DET
ajst-13990	117	7	fusion	fusion	NOUN
ajst-13990	117	8	effect	effect	NOUN
ajst-13990	117	9	of	of	ADP
ajst-13990	117	10	the	the	DET
ajst-13990	117	11	improved	improve	VERB
ajst-13990	117	12	fusion	fusion	NOUN
ajst-13990	117	13	methods	method	NOUN
ajst-13990	117	14	,	,	PUNCT
ajst-13990	117	15	a	a	DET
ajst-13990	117	16	total	total	NOUN
ajst-13990	117	17	of	of	ADP
ajst-13990	117	18	four	four	NUM
ajst-13990	117	19	fusion	fusion	NOUN
ajst-13990	117	20	result	result	NOUN
ajst-13990	117	21	images	image	NOUN
ajst-13990	117	22	of	of	ADP
ajst-13990	117	23	the	the	DET
ajst-13990	117	24	gsa	gsa	PROPN
ajst-13990	117	25	-	-	PUNCT
ajst-13990	117	26	net	net	ADJ
ajst-13990	117	27	fusion	fusion	NOUN
ajst-13990	117	28	methods	method	NOUN
ajst-13990	117	29	and	and	CCONJ
ajst-13990	117	30	the	the	DET
ajst-13990	117	31	original	original	ADJ
ajst-13990	117	32	sentinel-2	sentinel-2	ADJ
ajst-13990	117	33	images	image	NOUN
ajst-13990	117	34	are	be	AUX
ajst-13990	117	35	analysed	analyse	VERB
ajst-13990	117	36	from	from	ADP
ajst-13990	117	37	subjective	subjective	ADJ
ajst-13990	117	38	qualitative	qualitative	NOUN
ajst-13990	117	39	and	and	CCONJ
ajst-13990	117	40	objective	objective	ADJ
ajst-13990	117	41	quantitative	quantitative	ADJ
ajst-13990	117	42	aspects	aspect	NOUN
ajst-13990	117	43	,	,	PUNCT
ajst-13990	117	44	respectively	respectively	ADV
ajst-13990	117	45	,	,	PUNCT
ajst-13990	117	46	to	to	PART
ajst-13990	117	47	prefer	prefer	VERB
ajst-13990	117	48	the	the	DET
ajst-13990	117	49	best	good	ADJ
ajst-13990	117	50	fusion	fusion	NOUN
ajst-13990	117	51	method	method	NOUN
ajst-13990	117	52	.	.	PUNCT
ajst-13990	118	1	firstly	firstly	ADV
ajst-13990	118	2	,	,	PUNCT
ajst-13990	118	3	from	from	ADP
ajst-13990	118	4	the	the	DET
ajst-13990	118	5	visual	visual	ADJ
ajst-13990	118	6	effect	effect	NOUN
ajst-13990	118	7	,	,	PUNCT
ajst-13990	118	8	compared	compare	VERB
ajst-13990	118	9	with	with	ADP
ajst-13990	118	10	the	the	DET
ajst-13990	118	11	original	original	ADJ
ajst-13990	118	12	multispectral	multispectral	ADJ
ajst-13990	118	13	image	image	NOUN
ajst-13990	118	14	,	,	PUNCT
ajst-13990	118	15	the	the	DET
ajst-13990	118	16	four	four	NUM
ajst-13990	118	17	fusion	fusion	NOUN
ajst-13990	118	18	images	image	NOUN
ajst-13990	118	19	have	have	AUX
ajst-13990	118	20	greatly	greatly	ADV
ajst-13990	118	21	improved	improve	VERB
ajst-13990	118	22	the	the	DET
ajst-13990	118	23	spatial	spatial	ADJ
ajst-13990	118	24	resolution	resolution	NOUN
ajst-13990	118	25	of	of	ADP
ajst-13990	118	26	the	the	DET
ajst-13990	118	27	image	image	NOUN
ajst-13990	118	28	.	.	PUNCT
ajst-13990	119	1	firstly	firstly	ADV
ajst-13990	119	2	,	,	PUNCT
ajst-13990	119	3	from	from	ADP
ajst-13990	119	4	the	the	DET
ajst-13990	119	5	visual	visual	ADJ
ajst-13990	119	6	effect	effect	NOUN
ajst-13990	119	7	,	,	PUNCT
ajst-13990	119	8	compared	compare	VERB
ajst-13990	119	9	with	with	ADP
ajst-13990	119	10	the	the	DET
ajst-13990	119	11	original	original	ADJ
ajst-13990	119	12	multispectral	multispectral	ADJ
ajst-13990	119	13	image	image	NOUN
ajst-13990	119	14	,	,	PUNCT
ajst-13990	119	15	all	all	DET
ajst-13990	119	16	seven	seven	NUM
ajst-13990	119	17	fusion	fusion	NOUN
ajst-13990	119	18	images	image	NOUN
ajst-13990	119	19	greatly	greatly	ADV
ajst-13990	119	20	improve	improve	VERB
ajst-13990	119	21	the	the	DET
ajst-13990	119	22	spatial	spatial	ADJ
ajst-13990	119	23	resolution	resolution	NOUN
ajst-13990	119	24	of	of	ADP
ajst-13990	119	25	the	the	DET
ajst-13990	119	26	image.the	image.the	DET
ajst-13990	119	27	pca	pca	NOUN
ajst-13990	119	28	fusion	fusion	NOUN
ajst-13990	119	29	result	result	NOUN
ajst-13990	119	30	is	be	AUX
ajst-13990	119	31	overall	overall	ADJ
ajst-13990	119	32	dark	dark	ADJ
ajst-13990	119	33	,	,	PUNCT
ajst-13990	119	34	and	and	CCONJ
ajst-13990	119	35	the	the	DET
ajst-13990	119	36	spectral	spectral	ADJ
ajst-13990	119	37	aberration	aberration	NOUN
ajst-13990	119	38	is	be	AUX
ajst-13990	119	39	more	more	ADV
ajst-13990	119	40	serious	serious	ADJ
ajst-13990	119	41	,	,	PUNCT
ajst-13990	119	42	but	but	CCONJ
ajst-13990	119	43	the	the	DET
ajst-13990	119	44	clarity	clarity	NOUN
ajst-13990	119	45	of	of	ADP
ajst-13990	119	46	the	the	DET
ajst-13990	119	47	image	image	NOUN
ajst-13990	119	48	as	as	ADV
ajst-13990	119	49	well	well	ADV
ajst-13990	119	50	as	as	ADP
ajst-13990	119	51	the	the	DET
ajst-13990	119	52	integration	integration	NOUN
ajst-13990	119	53	of	of	ADP
ajst-13990	119	54	texture	texture	ADJ
ajst-13990	119	55	details	detail	NOUN
ajst-13990	119	56	is	be	AUX
ajst-13990	119	57	better.the	better.the	DET
ajst-13990	119	58	gihs	gihs	NOUN
ajst-13990	119	59	fusion	fusion	NOUN
ajst-13990	119	60	result	result	NOUN
ajst-13990	119	61	retains	retain	VERB
ajst-13990	119	62	the	the	DET
ajst-13990	119	63	spectral	spectral	ADJ
ajst-13990	119	64	information	information	NOUN
ajst-13990	119	65	well	well	ADV
ajst-13990	119	66	,	,	PUNCT
ajst-13990	119	67	but	but	CCONJ
ajst-13990	119	68	the	the	DET
ajst-13990	119	69	overall	overall	ADJ
ajst-13990	119	70	clarity	clarity	NOUN
ajst-13990	119	71	is	be	AUX
ajst-13990	119	72	not	not	PART
ajst-13990	119	73	high	high	ADJ
ajst-13990	119	74	,	,	PUNCT
ajst-13990	119	75	and	and	CCONJ
ajst-13990	119	76	the	the	DET
ajst-13990	119	77	roads	road	NOUN
ajst-13990	119	78	,	,	PUNCT
ajst-13990	119	79	buildings	building	NOUN
ajst-13990	119	80	and	and	CCONJ
ajst-13990	119	81	water	water	NOUN
ajst-13990	119	82	bodies	body	NOUN
ajst-13990	119	83	in	in	ADP
ajst-13990	119	84	the	the	DET
ajst-13990	119	85	image	image	NOUN
ajst-13990	119	86	have	have	VERB
ajst-13990	119	87	a	a	DET
ajst-13990	119	88	certain	certain	ADJ
ajst-13990	119	89	degree	degree	NOUN
ajst-13990	119	90	of	of	ADP
ajst-13990	119	91	blurring	blur	VERB
ajst-13990	119	92	gsa	gsa	PROPN
ajst-13990	119	93	67	67	NUM
ajst-13990	119	94	fcm	fcm	X
ajst-13990	119	95	will	will	AUX
ajst-13990	119	96	still	still	ADV
ajst-13990	119	97	have	have	VERB
ajst-13990	119	98	the	the	DET
ajst-13990	119	99	same	same	ADJ
ajst-13990	119	100	spatial	spatial	ADJ
ajst-13990	119	101	details	detail	NOUN
ajst-13990	119	102	as	as	ADP
ajst-13990	119	103	this	this	DET
ajst-13990	119	104	paper	paper	NOUN
ajst-13990	119	105	's	's	PART
ajst-13990	119	106	method	method	NOUN
ajst-13990	119	107	in	in	ADP
ajst-13990	119	108	terms	term	NOUN
ajst-13990	119	109	of	of	ADP
ajst-13990	119	110	better	well	ADJ
ajst-13990	119	111	retention	retention	NOUN
ajst-13990	119	112	of	of	ADP
ajst-13990	119	113	spectral	spectral	ADJ
ajst-13990	119	114	information	information	NOUN
ajst-13990	119	115	while	while	SCONJ
ajst-13990	119	116	the	the	DET
ajst-13990	119	117	incorporation	incorporation	NOUN
ajst-13990	119	118	of	of	ADP
ajst-13990	119	119	spatial	spatial	ADJ
ajst-13990	119	120	texture	texture	NOUN
ajst-13990	119	121	details	detail	NOUN
ajst-13990	119	122	is	be	AUX
ajst-13990	119	123	also	also	ADV
ajst-13990	119	124	greatly	greatly	ADV
ajst-13990	119	125	enhanced	enhance	VERB
ajst-13990	119	126	.	.	PUNCT
ajst-13990	120	1	the	the	DET
ajst-13990	120	2	fusion	fusion	NOUN
ajst-13990	120	3	results	result	NOUN
ajst-13990	120	4	of	of	ADP
ajst-13990	120	5	gsa	gsa	PROPN
ajst-13990	120	6	-	-	PUNCT
ajst-13990	120	7	net	net	NOUN
ajst-13990	120	8	are	be	AUX
ajst-13990	120	9	shown	show	VERB
ajst-13990	120	10	in	in	ADP
ajst-13990	120	11	table	table	NOUN
ajst-13990	120	12	3	3	NUM
ajst-13990	120	13	and	and	CCONJ
ajst-13990	120	14	figure	figure	VERB
ajst-13990	120	15	5	5	NUM
ajst-13990	120	16	:	:	PUNCT
ajst-13990	120	17	table	table	NOUN
ajst-13990	120	18	3	3	NUM
ajst-13990	120	19	.	.	PUNCT
ajst-13990	121	1	gsa	gsa	PROPN
ajst-13990	121	2	-	-	PUNCT
ajst-13990	121	3	net	net	ADJ
ajst-13990	121	4	fusion	fusion	NOUN
ajst-13990	121	5	accuracy	accuracy	NOUN
ajst-13990	121	6	evaluation	evaluation	NOUN
ajst-13990	121	7	gsa	gsa	PROPN
ajst-13990	121	8	-	-	PUNCT
ajst-13990	121	9	net	net	ADJ
ajst-13990	121	10	wave	wave	NOUN
ajst-13990	121	11	band	band	NOUN
ajst-13990	121	12	average	average	ADJ
ajst-13990	121	13	value	value	NOUN
ajst-13990	121	14	information	information	NOUN
ajst-13990	121	15	entropy	entropy	NOUN
ajst-13990	121	16	mean	mean	VERB
ajst-13990	121	17	gradient	gradient	PROPN
ajst-13990	121	18	sam	sam	PROPN
ajst-13990	121	19	.	.	PUNCT
ajst-13990	122	1	ergas	ergas	PROPN
ajst-13990	122	2	q4	q4	PROPN
ajst-13990	123	1	urban	urban	PROPN
ajst-13990	123	2	b	b	PROPN
ajst-13990	123	3	763.471	763.471	NUM
ajst-13990	123	4	2.256	2.256	NUM
ajst-13990	123	5	2.653	2.653	NUM
ajst-13990	123	6	3.256	3.256	NUM
ajst-13990	123	7	2.301	2.301	NUM
ajst-13990	123	8	0.669	0.669	NUM
ajst-13990	123	9	g	g	PROPN
ajst-13990	123	10	858.562	858.562	NUM
ajst-13990	123	11	2.352	2.352	NUM
ajst-13990	123	12	r	r	NOUN
ajst-13990	123	13	1020.513	1020.513	NUM
ajst-13990	123	14	6.103	6.103	NUM
ajst-13990	123	15	red	red	ADJ
ajst-13990	123	16	-	-	PUNCT
ajst-13990	123	17	edge	edge	NOUN
ajst-13990	123	18	1188.441	1188.441	NUM
ajst-13990	123	19	6.384	6.384	NUM
ajst-13990	123	20	nir	nir	ADJ
ajst-13990	123	21	1298.411	1298.411	NUM
ajst-13990	123	22	6.937	6.937	NUM
ajst-13990	123	23	swir	swir	NOUN
ajst-13990	123	24	1212.525	1212.525	NUM
ajst-13990	123	25	6.128	6.128	NUM
ajst-13990	123	26	suburban	suburban	ADJ
ajst-13990	123	27	b	b	NOUN
ajst-13990	123	28	721.675	721.675	NUM
ajst-13990	123	29	2.036	2.036	NUM
ajst-13990	123	30	2.517	2.517	NUM
ajst-13990	123	31	2.930	2.930	NUM
ajst-13990	123	32	1.551	1.551	NUM
ajst-13990	123	33	0.766	0.766	NUM
ajst-13990	123	34	g	g	ADP
ajst-13990	123	35	946.406	946.406	NUM
ajst-13990	123	36	2.144	2.144	NUM
ajst-13990	123	37	r	r	NOUN
ajst-13990	123	38	1208.217	1208.217	NUM
ajst-13990	123	39	6.039	6.039	NUM
ajst-13990	123	40	red	red	ADJ
ajst-13990	123	41	-	-	PUNCT
ajst-13990	123	42	edge	edge	NOUN
ajst-13990	123	43	1707.968	1707.968	NUM
ajst-13990	123	44	5.992	5.992	NUM
ajst-13990	123	45	nir	nir	NOUN
ajst-13990	123	46	2088.056	2088.056	NUM
ajst-13990	123	47	7.123	7.123	NUM
ajst-13990	123	48	swir	swir	ADJ
ajst-13990	123	49	1827.983	1827.983	NUM
ajst-13990	123	50	5.496	5.496	NUM
ajst-13990	123	51	figure	figure	NOUN
ajst-13990	123	52	5	5	NUM
ajst-13990	123	53	.	.	PUNCT
ajst-13990	124	1	gsa	gsa	PROPN
ajst-13990	124	2	-	-	PUNCT
ajst-13990	124	3	net	net	ADJ
ajst-13990	124	4	fusion	fusion	NOUN
ajst-13990	124	5	of	of	ADP
ajst-13990	124	6	original	original	ADJ
ajst-13990	124	7	and	and	CCONJ
ajst-13990	124	8	result	result	VERB
ajst-13990	124	9	images	image	NOUN
ajst-13990	124	10	5	5	NUM
ajst-13990	124	11	.	.	PUNCT
ajst-13990	124	12	conclusion	conclusion	NOUN
ajst-13990	124	13	in	in	ADP
ajst-13990	124	14	this	this	DET
ajst-13990	124	15	paper	paper	NOUN
ajst-13990	124	16	,	,	PUNCT
ajst-13990	124	17	using	use	VERB
ajst-13990	124	18	gf-2	gf-2	X
ajst-13990	124	19	and	and	CCONJ
ajst-13990	124	20	sentinel-2	sentinel-2	NUM
ajst-13990	124	21	data	datum	NOUN
ajst-13990	124	22	,	,	PUNCT
ajst-13990	124	23	we	we	PRON
ajst-13990	124	24	propose	propose	VERB
ajst-13990	124	25	an	an	DET
ajst-13990	124	26	improved	improved	ADJ
ajst-13990	124	27	gsa	gsa	PROPN
ajst-13990	124	28	fusion	fusion	NOUN
ajst-13990	124	29	formula	formula	NOUN
ajst-13990	124	30	,	,	PUNCT
ajst-13990	124	31	gsa	gsa	PROPN
ajst-13990	124	32	-	-	PUNCT
ajst-13990	124	33	net	net	NOUN
ajst-13990	124	34	,	,	PUNCT
ajst-13990	124	35	to	to	PART
ajst-13990	124	36	address	address	VERB
ajst-13990	124	37	the	the	DET
ajst-13990	124	38	problems	problem	NOUN
ajst-13990	124	39	of	of	ADP
ajst-13990	124	40	the	the	DET
ajst-13990	124	41	traditional	traditional	ADJ
ajst-13990	124	42	cs	cs	PROPN
ajst-13990	124	43	component	component	NOUN
ajst-13990	124	44	substitution	substitution	NOUN
ajst-13990	124	45	fusion	fusion	NOUN
ajst-13990	124	46	in	in	ADP
ajst-13990	124	47	multi	multi	ADJ
ajst-13990	124	48	-	-	ADJ
ajst-13990	124	49	source	source	NOUN
ajst-13990	124	50	data	datum	NOUN
ajst-13990	124	51	fusion	fusion	NOUN
ajst-13990	124	52	,	,	PUNCT
ajst-13990	124	53	and	and	CCONJ
ajst-13990	124	54	verify	verify	VERB
ajst-13990	124	55	its	its	PRON
ajst-13990	124	56	fusion	fusion	NOUN
ajst-13990	124	57	performance	performance	NOUN
ajst-13990	124	58	and	and	CCONJ
ajst-13990	124	59	stability	stability	NOUN
ajst-13990	124	60	on	on	ADP
ajst-13990	124	61	different	different	ADJ
ajst-13990	124	62	datasets	dataset	NOUN
ajst-13990	124	63	by	by	ADP
ajst-13990	124	64	using	use	VERB
ajst-13990	124	65	the	the	DET
ajst-13990	124	66	subjective	subjective	ADJ
ajst-13990	124	67	and	and	CCONJ
ajst-13990	124	68	objective	objective	ADJ
ajst-13990	124	69	evaluation	evaluation	NOUN
ajst-13990	124	70	methods	method	NOUN
ajst-13990	124	71	and	and	CCONJ
ajst-13990	124	72	classification	classification	NOUN
ajst-13990	124	73	accuracy	accuracy	NOUN
ajst-13990	124	74	.	.	PUNCT
ajst-13990	125	1	to	to	PART
ajst-13990	125	2	study	study	VERB
ajst-13990	125	3	the	the	DET
ajst-13990	125	4	fusion	fusion	NOUN
ajst-13990	125	5	performance	performance	NOUN
ajst-13990	125	6	of	of	ADP
ajst-13990	125	7	the	the	DET
ajst-13990	125	8	gsa	gsa	PROPN
ajst-13990	125	9	improved	improve	VERB
ajst-13990	125	10	method	method	NOUN
ajst-13990	125	11	,	,	PUNCT
ajst-13990	125	12	this	this	DET
ajst-13990	125	13	paper	paper	NOUN
ajst-13990	125	14	selects	select	VERB
ajst-13990	125	15	two	two	NUM
ajst-13990	125	16	typical	typical	ADJ
ajst-13990	125	17	sample	sample	NOUN
ajst-13990	125	18	areas	area	NOUN
ajst-13990	125	19	in	in	ADP
ajst-13990	125	20	the	the	DET
ajst-13990	125	21	town	town	NOUN
ajst-13990	125	22	as	as	ADP
ajst-13990	125	23	the	the	DET
ajst-13990	125	24	study	study	NOUN
ajst-13990	125	25	area	area	NOUN
ajst-13990	125	26	,	,	PUNCT
ajst-13990	125	27	and	and	CCONJ
ajst-13990	125	28	evaluates	evaluate	VERB
ajst-13990	125	29	the	the	DET
ajst-13990	125	30	results	result	NOUN
ajst-13990	125	31	using	use	VERB
ajst-13990	125	32	three	three	NUM
ajst-13990	125	33	reference	reference	NOUN
ajst-13990	125	34	-	-	PUNCT
ajst-13990	125	35	free	free	ADJ
ajst-13990	125	36	fusion	fusion	NOUN
ajst-13990	125	37	evaluation	evaluation	NOUN
ajst-13990	125	38	indexes	index	NOUN
ajst-13990	125	39	and	and	CCONJ
ajst-13990	125	40	three	three	NUM
ajst-13990	125	41	reference	reference	NOUN
ajst-13990	125	42	fusion	fusion	NOUN
ajst-13990	125	43	evaluation	evaluation	NOUN
ajst-13990	125	44	indexes	index	NOUN
ajst-13990	125	45	,	,	PUNCT
ajst-13990	125	46	respectively	respectively	ADV
ajst-13990	125	47	,	,	PUNCT
ajst-13990	125	48	and	and	CCONJ
ajst-13990	125	49	compares	compare	VERB
ajst-13990	125	50	them	they	PRON
ajst-13990	125	51	with	with	ADP
ajst-13990	125	52	the	the	DET
ajst-13990	125	53	results	result	NOUN
ajst-13990	125	54	of	of	ADP
ajst-13990	125	55	the	the	DET
ajst-13990	125	56	other	other	ADJ
ajst-13990	125	57	fusion	fusion	NOUN
ajst-13990	125	58	methods	method	NOUN
ajst-13990	125	59	and	and	CCONJ
ajst-13990	125	60	the	the	DET
ajst-13990	125	61	reference	reference	NOUN
ajst-13990	125	62	images	image	NOUN
ajst-13990	125	63	to	to	PART
ajst-13990	125	64	prove	prove	VERB
ajst-13990	125	65	the	the	DET
ajst-13990	125	66	advantages	advantage	NOUN
ajst-13990	125	67	of	of	ADP
ajst-13990	125	68	the	the	DET
ajst-13990	125	69	proposed	propose	VERB
ajst-13990	125	70	method	method	NOUN
ajst-13990	125	71	.	.	PUNCT
ajst-13990	126	1	the	the	DET
ajst-13990	126	2	experimental	experimental	ADJ
ajst-13990	126	3	conclusions	conclusion	NOUN
ajst-13990	126	4	show	show	VERB
ajst-13990	126	5	that	that	SCONJ
ajst-13990	126	6	compared	compare	VERB
ajst-13990	126	7	with	with	ADP
ajst-13990	126	8	other	other	ADJ
ajst-13990	126	9	methods	method	NOUN
ajst-13990	126	10	,	,	PUNCT
ajst-13990	126	11	the	the	DET
ajst-13990	126	12	gsa	gsa	PROPN
ajst-13990	126	13	-	-	PUNCT
ajst-13990	126	14	net	net	ADJ
ajst-13990	126	15	method	method	NOUN
ajst-13990	126	16	can	can	AUX
ajst-13990	126	17	still	still	ADV
ajst-13990	126	18	maintain	maintain	VERB
ajst-13990	126	19	good	good	ADJ
ajst-13990	126	20	spectral	spectral	ADJ
ajst-13990	126	21	information	information	NOUN
ajst-13990	126	22	while	while	SCONJ
ajst-13990	126	23	highly	highly	ADV
ajst-13990	126	24	incorporating	incorporate	VERB
ajst-13990	126	25	details	detail	NOUN
ajst-13990	126	26	,	,	PUNCT
ajst-13990	126	27	has	have	VERB
ajst-13990	126	28	the	the	DET
ajst-13990	126	29	largest	large	ADJ
ajst-13990	126	30	increment	increment	NOUN
ajst-13990	126	31	of	of	ADP
ajst-13990	126	32	information	information	NOUN
ajst-13990	126	33	entropy	entropy	NOUN
ajst-13990	126	34	,	,	PUNCT
ajst-13990	126	35	and	and	CCONJ
ajst-13990	126	36	the	the	DET
ajst-13990	126	37	fused	fuse	VERB
ajst-13990	126	38	image	image	NOUN
ajst-13990	126	39	contains	contain	VERB
ajst-13990	126	40	the	the	DET
ajst-13990	126	41	richest	rich	ADJ
ajst-13990	126	42	information	information	NOUN
ajst-13990	126	43	with	with	ADP
ajst-13990	126	44	better	well	ADJ
ajst-13990	126	45	comprehensive	comprehensive	ADJ
ajst-13990	126	46	performance	performance	NOUN
ajst-13990	126	47	.	.	PUNCT
ajst-13990	127	1	from	from	ADP
ajst-13990	127	2	the	the	DET
ajst-13990	127	3	final	final	ADJ
ajst-13990	127	4	results	result	NOUN
ajst-13990	127	5	,	,	PUNCT
ajst-13990	127	6	the	the	DET
ajst-13990	127	7	experiments	experiment	NOUN
ajst-13990	127	8	in	in	ADP
ajst-13990	127	9	this	this	DET
ajst-13990	127	10	paper	paper	NOUN
ajst-13990	127	11	have	have	AUX
ajst-13990	127	12	achieved	achieve	VERB
ajst-13990	127	13	the	the	DET
ajst-13990	127	14	research	research	NOUN
ajst-13990	127	15	purpose	purpose	NOUN
ajst-13990	127	16	,	,	PUNCT
ajst-13990	127	17	and	and	CCONJ
ajst-13990	127	18	the	the	DET
ajst-13990	127	19	proposed	propose	VERB
ajst-13990	127	20	gsa	gsa	PROPN
ajst-13990	127	21	-	-	ADJ
ajst-13990	127	22	net	net	ADJ
ajst-13990	127	23	method	method	NOUN
ajst-13990	127	24	performs	perform	VERB
ajst-13990	127	25	well	well	ADV
ajst-13990	127	26	compared	compare	VERB
ajst-13990	127	27	with	with	ADP
ajst-13990	127	28	the	the	DET
ajst-13990	127	29	traditional	traditional	ADJ
ajst-13990	127	30	classical	classical	ADJ
ajst-13990	127	31	algorithms	algorithm	NOUN
ajst-13990	127	32	in	in	ADP
ajst-13990	127	33	multi	multi	ADJ
ajst-13990	127	34	-	-	ADJ
ajst-13990	127	35	source	source	ADJ
ajst-13990	127	36	data	datum	NOUN
ajst-13990	127	37	fusion	fusion	NOUN
ajst-13990	127	38	applications	application	NOUN
ajst-13990	127	39	,	,	PUNCT
ajst-13990	127	40	but	but	CCONJ
ajst-13990	127	41	due	due	ADP
ajst-13990	127	42	to	to	ADP
ajst-13990	127	43	the	the	DET
ajst-13990	127	44	limited	limited	ADJ
ajst-13990	127	45	time	time	NOUN
ajst-13990	127	46	and	and	CCONJ
ajst-13990	127	47	level	level	NOUN
ajst-13990	127	48	,	,	PUNCT
ajst-13990	127	49	there	there	PRON
ajst-13990	127	50	are	be	VERB
ajst-13990	127	51	still	still	ADV
ajst-13990	127	52	some	some	DET
ajst-13990	127	53	deficiencies	deficiency	NOUN
ajst-13990	127	54	,	,	PUNCT
ajst-13990	127	55	which	which	PRON
ajst-13990	127	56	need	need	VERB
ajst-13990	127	57	to	to	PART
ajst-13990	127	58	be	be	AUX
ajst-13990	127	59	further	far	ADV
ajst-13990	127	60	studied	study	VERB
ajst-13990	127	61	carefully	carefully	ADV
ajst-13990	127	62	.	.	PUNCT
ajst-13990	128	1	in	in	ADP
ajst-13990	128	2	the	the	DET
ajst-13990	128	3	future	future	NOUN
ajst-13990	128	4	,	,	PUNCT
ajst-13990	128	5	hybrid	hybrid	ADJ
ajst-13990	128	6	methods	method	NOUN
ajst-13990	128	7	can	can	AUX
ajst-13990	128	8	be	be	AUX
ajst-13990	128	9	developed	develop	VERB
ajst-13990	128	10	to	to	PART
ajst-13990	128	11	combine	combine	VERB
ajst-13990	128	12	the	the	DET
ajst-13990	128	13	advantages	advantage	NOUN
ajst-13990	128	14	of	of	ADP
ajst-13990	128	15	different	different	ADJ
ajst-13990	128	16	categories	category	NOUN
ajst-13990	128	17	of	of	ADP
ajst-13990	128	18	methods	method	NOUN
ajst-13990	128	19	,	,	PUNCT
ajst-13990	128	20	for	for	ADP
ajst-13990	128	21	example	example	NOUN
ajst-13990	128	22	,	,	PUNCT
ajst-13990	128	23	introducing	introduce	VERB
ajst-13990	128	24	particle	particle	NOUN
ajst-13990	128	25	swarm	swarm	NOUN
ajst-13990	128	26	algorithms	algorithm	NOUN
ajst-13990	128	27	and	and	CCONJ
ajst-13990	128	28	swarm	swarm	NOUN
ajst-13990	128	29	intelligence	intelligence	NOUN
ajst-13990	128	30	algorithms	algorithm	NOUN
ajst-13990	128	31	to	to	PART
ajst-13990	128	32	improve	improve	VERB
ajst-13990	128	33	the	the	DET
ajst-13990	128	34	traditional	traditional	ADJ
ajst-13990	128	35	fusion	fusion	NOUN
ajst-13990	128	36	methods	method	NOUN
ajst-13990	128	37	.	.	PUNCT
ajst-13990	129	1	68	68	NUM
ajst-13990	129	2	references	reference	NOUN
ajst-13990	129	3	[	[	X
ajst-13990	129	4	1	1	NUM
ajst-13990	129	5	]	]	X
ajst-13990	129	6	zhang	zhang	PROPN
ajst-13990	129	7	bing	bing	PROPN
ajst-13990	129	8	,	,	PUNCT
ajst-13990	129	9	gao	gao	PROPN
ajst-13990	129	10	lianru	lianru	PROPN
ajst-13990	129	11	,	,	PUNCT
ajst-13990	129	12	li	li	PROPN
ajst-13990	129	13	jiaxin	jiaxin	PROPN
ajst-13990	129	14	,	,	PUNCT
ajst-13990	129	15	et	et	PROPN
ajst-13990	129	16	al	al	PROPN
ajst-13990	129	17	.	.	PROPN
ajst-13990	129	18	progress	progress	NOUN
ajst-13990	129	19	and	and	CCONJ
ajst-13990	129	20	prospect	prospect	NOUN
ajst-13990	129	21	of	of	ADP
ajst-13990	129	22	super	super	ADJ
ajst-13990	129	23	-	-	ADJ
ajst-13990	129	24	resolution	resolution	ADJ
ajst-13990	129	25	fusion	fusion	NOUN
ajst-13990	129	26	research	research	NOUN
ajst-13990	129	27	on	on	ADP
ajst-13990	129	28	high	high	ADJ
ajst-13990	129	29	/	/	SYM
ajst-13990	129	30	multispectral	multispectral	ADJ
ajst-13990	129	31	remote	remote	ADJ
ajst-13990	129	32	sensing	sense	VERB
ajst-13990	129	33	images[j	images[j	PROPN
ajst-13990	129	34	]	]	PUNCT
ajst-13990	129	35	.	.	PUNCT
ajst-13990	130	1	journal	journal	PROPN
ajst-13990	130	2	of	of	ADP
ajst-13990	130	3	surveying	surveying	NOUN
ajst-13990	130	4	and	and	CCONJ
ajst-13990	130	5	mapping	mapping	NOUN
ajst-13990	130	6	,	,	PUNCT
ajst-13990	130	7	2023	2023	NUM
ajst-13990	130	8	,	,	PUNCT
ajst-13990	130	9	52(7):1074	52(7):1074	PROPN
ajst-13990	130	10	-	-	NOUN
ajst-13990	130	11	1089	1089	NUM
ajst-13990	130	12	.	.	PUNCT
ajst-13990	131	1	[	[	X
ajst-13990	131	2	2	2	NUM
ajst-13990	131	3	]	]	X
ajst-13990	131	4	zhang	zhang	PROPN
ajst-13990	131	5	y	y	PROPN
ajst-13990	131	6	,	,	PUNCT
ajst-13990	131	7	ji	ji	PROPN
ajst-13990	131	8	q	q	PROPN
ajst-13990	131	9	.	.	PUNCT
ajst-13990	132	1	active	active	ADJ
ajst-13990	132	2	and	and	CCONJ
ajst-13990	132	3	dynamic	dynamic	ADJ
ajst-13990	132	4	information	information	NOUN
ajst-13990	132	5	fusion	fusion	NOUN
ajst-13990	132	6	for	for	ADP
ajst-13990	132	7	facial	facial	ADJ
ajst-13990	132	8	expression	expression	NOUN
ajst-13990	132	9	understanding	understanding	NOUN
ajst-13990	132	10	from	from	ADP
ajst-13990	132	11	image	image	NOUN
ajst-13990	132	12	sequences[j	sequences[j	PROPN
ajst-13990	132	13	]	]	PUNCT
ajst-13990	132	14	.	.	PUNCT
ajst-13990	133	1	ieee	ieee	PROPN
ajst-13990	133	2	trans	trans	PROPN
ajst-13990	133	3	pattern	pattern	PROPN
ajst-13990	133	4	anal	anal	PROPN
ajst-13990	133	5	mach	mach	PROPN
ajst-13990	133	6	intell	intell	NOUN
ajst-13990	133	7	,	,	PUNCT
ajst-13990	133	8	2005	2005	NUM
ajst-13990	133	9	,	,	PUNCT
ajst-13990	133	10	27(5):699	27(5):699	NUM
ajst-13990	133	11	-	-	SYM
ajst-13990	133	12	714	714	NUM
ajst-13990	133	13	.	.	PUNCT
ajst-13990	134	1	[	[	X
ajst-13990	134	2	3	3	NUM
ajst-13990	134	3	]	]	PUNCT
ajst-13990	134	4	tong	tong	PROPN
ajst-13990	134	5	qingxi	qingxi	PROPN
ajst-13990	134	6	,	,	PUNCT
ajst-13990	134	7	zhang	zhang	PROPN
ajst-13990	134	8	bing	bing	PROPN
ajst-13990	134	9	,	,	PUNCT
ajst-13990	134	10	zhang	zhang	PROPN
ajst-13990	134	11	lifu	lifu	PROPN
ajst-13990	134	12	.	.	PUNCT
ajst-13990	135	1	frontier	frontier	NOUN
ajst-13990	135	2	progress	progress	NOUN
ajst-13990	135	3	of	of	ADP
ajst-13990	135	4	hyperspectral	hyperspectral	ADJ
ajst-13990	135	5	remote	remote	ADJ
ajst-13990	135	6	sensing	sensing	NOUN
ajst-13990	135	7	in	in	ADP
ajst-13990	135	8	china[j	china[j	NOUN
ajst-13990	135	9	]	]	PUNCT
ajst-13990	135	10	.	.	PUNCT
ajst-13990	136	1	journal	journal	PROPN
ajst-13990	136	2	of	of	ADP
ajst-13990	136	3	remote	remote	ADJ
ajst-13990	136	4	sensing	sensing	NOUN
ajst-13990	136	5	,	,	PUNCT
ajst-13990	136	6	2016	2016	NUM
ajst-13990	136	7	,	,	PUNCT
ajst-13990	136	8	20(5	20(5	NUM
ajst-13990	136	9	):	):	PUNCT
ajst-13990	136	10	689	689	NUM
ajst-13990	136	11	-	-	SYM
ajst-13990	136	12	707	707	NUM
ajst-13990	136	13	.	.	PUNCT
ajst-13990	137	1	[	[	X
ajst-13990	137	2	4	4	X
ajst-13990	137	3	]	]	X
ajst-13990	137	4	nencini	nencini	PROPN
ajst-13990	137	5	f	f	PROPN
ajst-13990	137	6	,	,	PUNCT
ajst-13990	137	7	garzelli	garzelli	PROPN
ajst-13990	137	8	a	a	PRON
ajst-13990	137	9	,	,	PUNCT
ajst-13990	137	10	baronti	baronti	PROPN
ajst-13990	137	11	s	s	PART
ajst-13990	137	12	,	,	PUNCT
ajst-13990	137	13	et	et	PROPN
ajst-13990	137	14	al	al	PROPN
ajst-13990	137	15	.	.	PROPN
ajst-13990	138	1	remote	remote	ADJ
ajst-13990	138	2	sensing	sense	VERB
ajst-13990	138	3	image	image	NOUN
ajst-13990	138	4	fusion	fusion	NOUN
ajst-13990	138	5	using	use	VERB
ajst-13990	138	6	the	the	DET
ajst-13990	138	7	curvelet	curvelet	NOUN
ajst-13990	138	8	transform[j	transform[j	PROPN
ajst-13990	138	9	]	]	PUNCT
ajst-13990	138	10	.	.	PUNCT
ajst-13990	139	1	information	information	NOUN
ajst-13990	139	2	fusion	fusion	NOUN
ajst-13990	139	3	,	,	PUNCT
ajst-13990	139	4	2007	2007	NUM
ajst-13990	139	5	,	,	PUNCT
ajst-13990	139	6	8(2):143	8(2):143	NUM
ajst-13990	139	7	-	-	SYM
ajst-13990	139	8	156	156	NUM
ajst-13990	139	9	.	.	PUNCT
ajst-13990	140	1	[	[	X
ajst-13990	140	2	5	5	NUM
ajst-13990	140	3	]	]	PUNCT
ajst-13990	140	4	aiazzi	aiazzi	PROPN
ajst-13990	140	5	b	b	PROPN
ajst-13990	140	6	,	,	PUNCT
ajst-13990	140	7	alparone	alparone	PROPN
ajst-13990	140	8	l	l	NOUN
ajst-13990	140	9	,	,	PUNCT
ajst-13990	140	10	baronti	baronti	PROPN
ajst-13990	140	11	s	s	PART
ajst-13990	140	12	,	,	PUNCT
ajst-13990	140	13	et	et	PROPN
ajst-13990	140	14	al	al	PROPN
ajst-13990	140	15	.	.	PROPN
ajst-13990	140	16	25	25	NUM
ajst-13990	140	17	years	year	NOUN
ajst-13990	140	18	of	of	ADP
ajst-13990	140	19	pansharpening	pansharpene	VERB
ajst-13990	140	20	:	:	PUNCT
ajst-13990	140	21	a	a	DET
ajst-13990	140	22	critical	critical	ADJ
ajst-13990	140	23	review	review	NOUN
ajst-13990	140	24	and	and	CCONJ
ajst-13990	140	25	new	new	ADJ
ajst-13990	140	26	developments[m	developments[m	NOUN
ajst-13990	140	27	]	]	PUNCT
ajst-13990	140	28	.	.	PUNCT
ajst-13990	141	1	2012	2012	NUM
ajst-13990	141	2	.	.	PUNCT
ajst-13990	142	1	[	[	X
ajst-13990	142	2	6	6	NUM
ajst-13990	142	3	]	]	PUNCT
ajst-13990	142	4	vivone	vivone	NOUN
ajst-13990	142	5	g	g	NOUN
ajst-13990	142	6	,	,	PUNCT
ajst-13990	142	7	alparone	alparone	NOUN
ajst-13990	142	8	l	l	NOUN
ajst-13990	142	9	,	,	PUNCT
ajst-13990	142	10	chanussot	chanussot	PROPN
ajst-13990	142	11	j	j	PROPN
ajst-13990	142	12	,	,	PUNCT
ajst-13990	142	13	et	et	PROPN
ajst-13990	142	14	al	al	PROPN
ajst-13990	142	15	.	.	PUNCT
ajst-13990	143	1	a	a	DET
ajst-13990	143	2	critical	critical	ADJ
ajst-13990	143	3	comparison	comparison	NOUN
ajst-13990	143	4	among	among	ADP
ajst-13990	143	5	pansharpening	pansharpene	VERB
ajst-13990	143	6	algorithms[j	algorithms[j	PROPN
ajst-13990	143	7	]	]	X
ajst-13990	143	8	.	.	PUNCT
ajst-13990	144	1	ieee	ieee	NOUN
ajst-13990	144	2	transactions	transaction	NOUN
ajst-13990	144	3	on	on	ADP
ajst-13990	144	4	geoence	geoence	NOUN
ajst-13990	144	5	&	&	CCONJ
ajst-13990	144	6	remote	remote	ADJ
ajst-13990	144	7	sensing	sensing	NOUN
ajst-13990	144	8	,	,	PUNCT
ajst-13990	144	9	2015	2015	NUM
ajst-13990	144	10	,	,	PUNCT
ajst-13990	144	11	53	53	NUM
ajst-13990	144	12	(	(	PUNCT
ajst-13990	144	13	5	5	NUM
ajst-13990	144	14	):	):	PUNCT
ajst-13990	144	15	2565	2565	NUM
ajst-13990	144	16	-	-	SYM
ajst-13990	144	17	2586	2586	NUM
ajst-13990	144	18	.	.	PUNCT
ajst-13990	145	1	[	[	X
ajst-13990	145	2	7	7	X
ajst-13990	145	3	]	]	X
ajst-13990	145	4	zhang	zhang	PROPN
ajst-13990	145	5	liangpei	liangpei	PROPN
ajst-13990	145	6	,	,	PUNCT
ajst-13990	145	7	shen	shen	PROPN
ajst-13990	145	8	huanfeng	huanfeng	PROPN
ajst-13990	145	9	.	.	PUNCT
ajst-13990	146	1	progress	progress	NOUN
ajst-13990	146	2	and	and	CCONJ
ajst-13990	146	3	foresight	foresight	NOUN
ajst-13990	146	4	of	of	ADP
ajst-13990	146	5	remote	remote	ADJ
ajst-13990	146	6	sensing	sense	VERB
ajst-13990	146	7	data	datum	NOUN
ajst-13990	146	8	fusion[j	fusion[j	PROPN
ajst-13990	146	9	]	]	PUNCT
ajst-13990	146	10	.	.	PUNCT
ajst-13990	147	1	journal	journal	PROPN
ajst-13990	147	2	of	of	ADP
ajst-13990	147	3	remote	remote	ADJ
ajst-13990	147	4	sensing	sensing	NOUN
ajst-13990	147	5	,	,	PUNCT
ajst-13990	147	6	2016	2016	NUM
ajst-13990	147	7	,	,	PUNCT
ajst-13990	147	8	20(5):12	20(5):12	NUM
ajst-13990	147	9	.	.	PUNCT
ajst-13990	148	1	[	[	X
ajst-13990	148	2	8	8	NUM
ajst-13990	148	3	]	]	X
ajst-13990	148	4	li	li	PROPN
ajst-13990	148	5	shutao	shutao	PROPN
ajst-13990	148	6	,	,	PUNCT
ajst-13990	148	7	li	li	PROPN
ajst-13990	148	8	congyu	congyu	PROPN
ajst-13990	148	9	,	,	PUNCT
ajst-13990	148	10	kang	kang	PROPN
ajst-13990	148	11	xudong	xudong	PROPN
ajst-13990	148	12	.	.	PUNCT
ajst-13990	149	1	current	current	ADJ
ajst-13990	149	2	status	status	NOUN
ajst-13990	149	3	and	and	CCONJ
ajst-13990	149	4	future	future	ADJ
ajst-13990	149	5	outlook	outlook	NOUN
ajst-13990	149	6	of	of	ADP
ajst-13990	149	7	the	the	DET
ajst-13990	149	8	development	development	NOUN
ajst-13990	149	9	of	of	ADP
ajst-13990	149	10	multi	multi	ADJ
ajst-13990	149	11	-	-	ADJ
ajst-13990	149	12	source	source	NOUN
ajst-13990	149	13	remote	remote	ADJ
ajst-13990	149	14	sensing	sense	VERB
ajst-13990	149	15	image	image	NOUN
ajst-13990	149	16	fusion[j	fusion[j	NOUN
ajst-13990	149	17	]	]	PUNCT
ajst-13990	149	18	.	.	PUNCT
ajst-13990	150	1	journal	journal	PROPN
ajst-13990	150	2	of	of	ADP
ajst-13990	150	3	remote	remote	ADJ
ajst-13990	150	4	sensing	sensing	NOUN
ajst-13990	150	5	,	,	PUNCT
ajst-13990	150	6	2021	2021	NUM
ajst-13990	150	7	,	,	PUNCT
ajst-13990	150	8	25(1	25(1	NUM
ajst-13990	150	9	):	):	PUNCT
ajst-13990	150	10	148	148	NUM
ajst-13990	150	11	-	-	SYM
ajst-13990	150	12	166	166	NUM
ajst-13990	150	13	.	.	PUNCT
ajst-13990	151	1	[	[	X
ajst-13990	151	2	9	9	NUM
ajst-13990	151	3	]	]	SYM
ajst-13990	151	4	vivone	vivone	NOUN
ajst-13990	151	5	g	g	NOUN
ajst-13990	151	6	,	,	PUNCT
ajst-13990	151	7	restaino	restaino	PROPN
ajst-13990	151	8	r	r	NOUN
ajst-13990	151	9	,	,	PUNCT
ajst-13990	151	10	licciardi	licciardi	NOUN
ajst-13990	151	11	g	g	PROPN
ajst-13990	151	12	a	a	PRON
ajst-13990	151	13	,	,	PUNCT
ajst-13990	151	14	et	et	PROPN
ajst-13990	151	15	al	al	PROPN
ajst-13990	151	16	.	.	PUNCT
ajst-13990	151	17	multiresolution	multiresolution	NOUN
ajst-13990	151	18	analysis	analysis	NOUN
ajst-13990	151	19	and	and	CCONJ
ajst-13990	151	20	component	component	NOUN
ajst-13990	151	21	substitution	substitution	NOUN
ajst-13990	151	22	techniques	technique	NOUN
ajst-13990	151	23	for	for	ADP
ajst-13990	151	24	hyperspectral	hyperspectral	ADJ
ajst-13990	151	25	pansharpening[c]//	pansharpening[c]//	PROPN
ajst-13990	151	26	geoscience	geoscience	NOUN
ajst-13990	151	27	&	&	CCONJ
ajst-13990	151	28	remote	remote	ADJ
ajst-13990	151	29	sensing	sense	VERB
ajst-13990	151	30	symposium	symposium	NOUN
ajst-13990	151	31	.	.	PUNCT
ajst-13990	151	32	ieee	ieee	PROPN
ajst-13990	151	33	,	,	PUNCT
ajst-13990	151	34	2014	2014	NUM
ajst-13990	151	35	.	.	PUNCT
ajst-13990	152	1	[	[	X
ajst-13990	152	2	10	10	NUM
ajst-13990	152	3	]	]	X
ajst-13990	152	4	ghassemian	ghassemian	PROPN
ajst-13990	152	5	,	,	PUNCT
ajst-13990	152	6	hassan	hassan	PROPN
ajst-13990	152	7	.	.	PUNCT
ajst-13990	153	1	a	a	DET
ajst-13990	153	2	review	review	NOUN
ajst-13990	153	3	of	of	ADP
ajst-13990	153	4	remote	remote	ADJ
ajst-13990	153	5	sensing	sense	VERB
ajst-13990	153	6	image	image	NOUN
ajst-13990	153	7	fusion	fusion	NOUN
ajst-13990	153	8	methods[j	methods[j	NOUN
ajst-13990	153	9	]	]	PUNCT
ajst-13990	153	10	.	.	PUNCT
ajst-13990	154	1	information	information	NOUN
ajst-13990	154	2	fusion	fusion	NOUN
ajst-13990	154	3	,	,	PUNCT
ajst-13990	154	4	2016:75	2016:75	PROPN
ajst-13990	154	5	-	-	SYM
ajst-13990	154	6	89	89	NUM
ajst-13990	154	7	.	.	PUNCT
ajst-13990	155	1	[	[	X
ajst-13990	155	2	11	11	NUM
ajst-13990	155	3	]	]	X
ajst-13990	155	4	yokoya	yokoya	PROPN
ajst-13990	155	5	n	n	NOUN
ajst-13990	155	6	,	,	PUNCT
ajst-13990	155	7	grohnfeldt	grohnfeldt	PROPN
ajst-13990	155	8	c	c	PROPN
ajst-13990	155	9	,	,	PUNCT
ajst-13990	155	10	chanussot	chanussot	PROPN
ajst-13990	155	11	j	j	PROPN
ajst-13990	155	12	.	.	PUNCT
ajst-13990	155	13	hyperspectral	hyperspectral	ADJ
ajst-13990	155	14	and	and	CCONJ
ajst-13990	155	15	multispectral	multispectral	ADJ
ajst-13990	155	16	data	datum	NOUN
ajst-13990	155	17	fusion	fusion	NOUN
ajst-13990	155	18	:	:	PUNCT
ajst-13990	155	19	a	a	DET
ajst-13990	155	20	comparative	comparative	ADJ
ajst-13990	155	21	review	review	NOUN
ajst-13990	155	22	of	of	ADP
ajst-13990	155	23	the	the	DET
ajst-13990	155	24	recent	recent	ADJ
ajst-13990	155	25	literature[j	literature[j	PROPN
ajst-13990	155	26	]	]	PUNCT
ajst-13990	155	27	.	.	PUNCT
ajst-13990	156	1	ieee	ieee	PROPN
ajst-13990	156	2	geoscience	geoscience	PROPN
ajst-13990	156	3	&	&	CCONJ
ajst-13990	156	4	remote	remote	ADJ
ajst-13990	156	5	sensing	sense	VERB
ajst-13990	156	6	magazine	magazine	NOUN
ajst-13990	156	7	,	,	PUNCT
ajst-13990	156	8	2017	2017	NUM
ajst-13990	156	9	,	,	PUNCT
ajst-13990	156	10	5(2):29	5(2):29	NUM
ajst-13990	156	11	-	-	SYM
ajst-13990	156	12	56	56	NUM
ajst-13990	156	13	.	.	PUNCT
ajst-13990	157	1	[	[	X
ajst-13990	157	2	12	12	NUM
ajst-13990	157	3	]	]	X
ajst-13990	157	4	yan	yan	PROPN
ajst-13990	157	5	junhua	junhua	PROPN
ajst-13990	157	6	,	,	PUNCT
ajst-13990	157	7	zhang	zhang	PROPN
ajst-13990	157	8	kun	kun	PROPN
ajst-13990	157	9	,	,	PUNCT
ajst-13990	157	10	shi	shi	PROPN
ajst-13990	157	11	tianjun	tianjun	PROPN
ajst-13990	157	12	,	,	PUNCT
ajst-13990	157	13	et	et	PROPN
ajst-13990	157	14	al	al	PROPN
ajst-13990	157	15	.	.	PUNCT
ajst-13990	157	16	detection	detection	NOUN
ajst-13990	157	17	of	of	ADP
ajst-13990	157	18	weak	weak	ADJ
ajst-13990	157	19	targets	target	NOUN
ajst-13990	157	20	on	on	ADP
ajst-13990	157	21	the	the	DET
ajst-13990	157	22	ground	ground	NOUN
ajst-13990	157	23	of	of	ADP
ajst-13990	157	24	remote	remote	ADJ
ajst-13990	157	25	sensing	sensing	NOUN
ajst-13990	157	26	images	image	NOUN
ajst-13990	157	27	by	by	ADP
ajst-13990	157	28	fusing	fuse	VERB
ajst-13990	157	29	multilevel	multilevel	ADJ
ajst-13990	157	30	features[j	features[j	NOUN
ajst-13990	157	31	]	]	PUNCT
ajst-13990	157	32	.	.	PUNCT
ajst-13990	158	1	journal	journal	PROPN
ajst-13990	158	2	of	of	ADP
ajst-13990	158	3	instrumentation	instrumentation	NOUN
ajst-13990	158	4	,	,	PUNCT
ajst-13990	158	5	2022	2022	NUM
ajst-13990	158	6	(	(	PUNCT
ajst-13990	158	7	003	003	NUM
ajst-13990	158	8	):	):	PUNCT
ajst-13990	158	9	043	043	NUM
ajst-13990	158	10	.	.	PUNCT
ajst-13990	159	1	[	[	X
ajst-13990	159	2	13	13	NUM
ajst-13990	159	3	]	]	PUNCT
ajst-13990	159	4	xu	xu	PROPN
ajst-13990	159	5	shengjun	shengjun	PROPN
ajst-13990	159	6	,	,	PUNCT
ajst-13990	159	7	zhang	zhang	PROPN
ajst-13990	159	8	ruoxuan	ruoxuan	PROPN
ajst-13990	159	9	,	,	PUNCT
ajst-13990	159	10	meng	meng	PROPN
ajst-13990	159	11	yuebo	yuebo	PROPN
ajst-13990	159	12	,	,	PUNCT
ajst-13990	159	13	et	et	PROPN
ajst-13990	159	14	al	al	PROPN
ajst-13990	159	15	.	.	PROPN
ajst-13990	159	16	fusion	fusion	NOUN
ajst-13990	159	17	of	of	ADP
ajst-13990	159	18	fractal	fractal	ADJ
ajst-13990	159	19	geometric	geometric	ADJ
ajst-13990	159	20	features	feature	NOUN
ajst-13990	159	21	for	for	ADP
ajst-13990	159	22	building	build	VERB
ajst-13990	159	23	segmentation	segmentation	NOUN
ajst-13990	159	24	in	in	ADP
ajst-13990	159	25	resnet	resnet	NOUN
ajst-13990	159	26	remote	remote	ADJ
ajst-13990	159	27	sensing	sensing	NOUN
ajst-13990	159	28	images	image	NOUN
ajst-13990	160	1	[	[	X
ajst-13990	160	2	j	j	X
ajst-13990	160	3	]	]	X
ajst-13990	160	4	.	.	PUNCT
ajst-13990	161	1	optical	optical	ADJ
ajst-13990	161	2	precision	precision	NOUN
ajst-13990	161	3	engineering	engineering	NOUN
ajst-13990	161	4	,	,	PUNCT
ajst-13990	161	5	2022	2022	NUM
ajst-13990	161	6	,	,	PUNCT
ajst-13990	161	7	30(16):15	30(16):15	NUM
ajst-13990	161	8	.	.	PUNCT
ajst-13990	162	1	[	[	X
ajst-13990	162	2	14	14	NUM
ajst-13990	162	3	]	]	PUNCT
ajst-13990	162	4	ghamisi	ghamisi	PROPN
ajst-13990	162	5	p	p	NOUN
ajst-13990	162	6	,	,	PUNCT
ajst-13990	162	7	rasti	rasti	PROPN
ajst-13990	162	8	b	b	PROPN
ajst-13990	162	9	,	,	PUNCT
ajst-13990	162	10	yokoya	yokoya	PROPN
ajst-13990	162	11	n	n	PROPN
ajst-13990	162	12	,	,	PUNCT
ajst-13990	162	13	et	et	PROPN
ajst-13990	162	14	al	al	PROPN
ajst-13990	162	15	.	.	PROPN
ajst-13990	163	1	multisource	multisource	PROPN
ajst-13990	163	2	and	and	CCONJ
ajst-13990	163	3	multitemporal	multitemporal	ADJ
ajst-13990	163	4	data	datum	NOUN
ajst-13990	163	5	fusion	fusion	NOUN
ajst-13990	163	6	in	in	ADP
ajst-13990	163	7	remote	remote	ADJ
ajst-13990	163	8	sensing	sensing	NOUN
ajst-13990	163	9	:	:	PUNCT
ajst-13990	163	10	a	a	DET
ajst-13990	163	11	comprehensive	comprehensive	ADJ
ajst-13990	163	12	review	review	NOUN
ajst-13990	163	13	of	of	ADP
ajst-13990	163	14	the	the	DET
ajst-13990	163	15	state	state	NOUN
ajst-13990	163	16	of	of	ADP
ajst-13990	163	17	the	the	DET
ajst-13990	163	18	art[j	art[j	NOUN
ajst-13990	163	19	]	]	PUNCT
ajst-13990	163	20	.	.	PUNCT
ajst-13990	164	1	ieee	ieee	PROPN
ajst-13990	164	2	geoscience	geoscience	PROPN
ajst-13990	164	3	and	and	CCONJ
ajst-13990	164	4	remote	remote	ADJ
ajst-13990	164	5	sensing	sense	VERB
ajst-13990	164	6	magazine	magazine	NOUN
ajst-13990	164	7	,	,	PUNCT
ajst-13990	164	8	2019	2019	NUM
ajst-13990	164	9	,	,	PUNCT
ajst-13990	164	10	7(1):6	7(1):6	NUM
ajst-13990	164	11	-	-	SYM
ajst-13990	164	12	39	39	NUM
ajst-13990	164	13	.	.	PUNCT
ajst-13990	165	1	[	[	X
ajst-13990	165	2	15	15	NUM
ajst-13990	165	3	]	]	X
ajst-13990	165	4	vivone	vivone	NOUN
ajst-13990	165	5	g	g	NOUN
ajst-13990	165	6	,	,	PUNCT
ajst-13990	165	7	alparone	alparone	NOUN
ajst-13990	165	8	l	l	NOUN
ajst-13990	165	9	,	,	PUNCT
ajst-13990	165	10	garzelli	garzelli	PROPN
ajst-13990	165	11	l	l	NOUN
ajst-13990	165	12	,	,	PUNCT
ajst-13990	165	13	and	and	CCONJ
ajst-13990	165	14	lolli	lolli	PROPN
ajst-13990	165	15	s.	s.	PROPN
ajst-13990	165	16	fast	fast	PROPN
ajst-13990	165	17	reproducible	reproducible	VERB
ajst-13990	165	18	pansharpening	pansharpene	VERB
ajst-13990	165	19	based	base	VERB
ajst-13990	165	20	on	on	ADP
ajst-13990	165	21	instrument	instrument	NOUN
ajst-13990	165	22	and	and	CCONJ
ajst-13990	165	23	acquisition	acquisition	NOUN
ajst-13990	165	24	modelling	modelling	NOUN
ajst-13990	165	25	:	:	PUNCT
ajst-13990	165	26	awlp	awlp	NOUN
ajst-13990	165	27	revisited[j	revisited[j	PROPN
ajst-13990	165	28	]	]	PUNCT
ajst-13990	165	29	.	.	PUNCT
ajst-13990	166	1	remote	remote	ADJ
ajst-13990	166	2	sensing	sensing	NOUN
ajst-13990	166	3	,	,	PUNCT
ajst-13990	166	4	2019	2019	NUM
ajst-13990	166	5	,	,	PUNCT
ajst-13990	166	6	11(19):2315:1	11(19):2315:1	NUM
ajst-13990	166	7	-	-	SYM
ajst-13990	166	8	2315:23	2315:23	NUM
ajst-13990	166	9	.	.	PUNCT
ajst-13990	167	1	[	[	X
ajst-13990	167	2	16	16	NUM
ajst-13990	167	3	]	]	X
ajst-13990	167	4	shi	shi	PROPN
ajst-13990	167	5	y	y	PROPN
ajst-13990	167	6	,	,	PUNCT
ajst-13990	167	7	tian	tian	PROPN
ajst-13990	167	8	y	y	PROPN
ajst-13990	167	9	,	,	PUNCT
ajst-13990	167	10	wang	wang	PROPN
ajst-13990	167	11	y	y	PROPN
ajst-13990	167	12	,	,	PUNCT
ajst-13990	167	13	et	et	PROPN
ajst-13990	167	14	al	al	PROPN
ajst-13990	167	15	.	.	PROPN
ajst-13990	168	1	sequential	sequential	ADJ
ajst-13990	168	2	deep	deep	ADJ
ajst-13990	168	3	trajectory	trajectory	NOUN
ajst-13990	168	4	descriptor	descriptor	NOUN
ajst-13990	168	5	for	for	ADP
ajst-13990	168	6	action	action	NOUN
ajst-13990	168	7	recognition	recognition	NOUN
ajst-13990	168	8	with	with	ADP
ajst-13990	168	9	three	three	NUM
ajst-13990	168	10	-	-	PUNCT
ajst-13990	168	11	stream	stream	NOUN
ajst-13990	168	12	cnn[j	cnn[j	NOUN
ajst-13990	168	13	]	]	PUNCT
ajst-13990	168	14	.	.	PUNCT
ajst-13990	169	1	ieee	ieee	NOUN
ajst-13990	169	2	transactions	transaction	NOUN
ajst-13990	169	3	on	on	ADP
ajst-13990	169	4	multimedia	multimedia	NOUN
ajst-13990	169	5	,	,	PUNCT
ajst-13990	169	6	2017	2017	NUM
ajst-13990	169	7	,	,	PUNCT
ajst-13990	169	8	19(7	19(7	NUM
ajst-13990	169	9	):	):	PUNCT
ajst-13990	169	10	1510	1510	NUM
ajst-13990	169	11	-	-	SYM
ajst-13990	169	12	1520	1520	NUM
ajst-13990	169	13	.	.	PUNCT
ajst-13990	170	1	[	[	X
ajst-13990	170	2	17	17	NUM
ajst-13990	170	3	]	]	X
ajst-13990	170	4	tian	tian	PROPN
ajst-13990	170	5	c	c	X
ajst-13990	170	6	,	,	PUNCT
ajst-13990	170	7	zhuge	zhuge	PROPN
ajst-13990	170	8	r	r	PROPN
ajst-13990	170	9	,	,	PUNCT
ajst-13990	170	10	wu	wu	PROPN
ajst-13990	170	11	z	z	PROPN
ajst-13990	170	12	,	,	PUNCT
ajst-13990	170	13	et	et	PROPN
ajst-13990	170	14	al	al	PROPN
ajst-13990	170	15	.	.	PUNCT
ajst-13990	171	1	lightweight	lightweight	ADJ
ajst-13990	171	2	image	image	NOUN
ajst-13990	171	3	superresolution	superresolution	NOUN
ajst-13990	171	4	with	with	ADP
ajst-13990	171	5	enhanced	enhanced	ADJ
ajst-13990	171	6	cnn[j	cnn[j	NOUN
ajst-13990	171	7	]	]	PUNCT
ajst-13990	171	8	.	.	PUNCT
ajst-13990	172	1	knowledge	knowledge	NOUN
ajst-13990	172	2	-	-	PUNCT
ajst-13990	172	3	based	base	VERB
ajst-13990	172	4	systems	system	NOUN
ajst-13990	172	5	,	,	PUNCT
ajst-13990	172	6	2020	2020	NUM
ajst-13990	172	7	,	,	PUNCT
ajst-13990	172	8	205	205	NUM
ajst-13990	172	9	:	:	SYM
ajst-13990	172	10	106235	106235	NUM
ajst-13990	172	11	.	.	PUNCT
ajst-13990	173	1	[	[	X
ajst-13990	173	2	18	18	NUM
ajst-13990	173	3	]	]	PUNCT
ajst-13990	173	4	ronneberger	ronneberger	NOUN
ajst-13990	173	5	o	o	NOUN
ajst-13990	173	6	,	,	PUNCT
ajst-13990	173	7	fischer	fischer	PROPN
ajst-13990	173	8	p	p	PROPN
ajst-13990	173	9	,	,	PUNCT
ajst-13990	173	10	brox	brox	PROPN
ajst-13990	173	11	t.	t.	PROPN
ajst-13990	173	12	u	u	PROPN
ajst-13990	173	13	-	-	NOUN
ajst-13990	173	14	net	net	ADJ
ajst-13990	173	15	:	:	PUNCT
ajst-13990	173	16	convolutional	convolutional	ADJ
ajst-13990	173	17	networks	network	NOUN
ajst-13990	173	18	for	for	ADP
ajst-13990	173	19	biomedical	biomedical	ADJ
ajst-13990	173	20	image	image	NOUN
ajst-13990	173	21	segmentation[c]//navab	segmentation[c]//navab	PROPN
ajst-13990	173	22	n	n	CCONJ
ajst-13990	173	23	,	,	PUNCT
ajst-13990	173	24	hornegger	hornegger	PROPN
ajst-13990	173	25	j	j	PROPN
ajst-13990	173	26	,	,	PUNCT
ajst-13990	173	27	wells	wells	PROPN
ajst-13990	173	28	w	w	PROPN
ajst-13990	173	29	m	m	PROPN
ajst-13990	173	30	,	,	PUNCT
ajst-13990	173	31	et	et	PROPN
ajst-13990	173	32	al	al	PROPN
ajst-13990	173	33	.	.	PUNCT
ajst-13990	173	34	medical	medical	ADJ
ajst-13990	173	35	image	image	NOUN
ajst-13990	173	36	computing	computing	NOUN
ajst-13990	173	37	and	and	CCONJ
ajst-13990	173	38	computer	computer	NOUN
ajst-13990	173	39	-	-	PUNCT
ajst-13990	173	40	assisted	assist	VERB
ajst-13990	173	41	intervention	intervention	NOUN
ajst-13990	173	42	miccai	miccai	PROPN
ajst-13990	173	43	2015	2015	NUM
ajst-13990	173	44	.	.	PUNCT
ajst-13990	174	1	cham	cham	PROPN
ajst-13990	174	2	:	:	PUNCT
ajst-13990	174	3	springer	springer	NOUN
ajst-13990	174	4	international	international	ADJ
ajst-13990	174	5	publishing	publishing	NOUN
ajst-13990	174	6	,	,	PUNCT
ajst-13990	174	7	2015	2015	NUM
ajst-13990	174	8	:	:	PUNCT
ajst-13990	174	9	234	234	NUM
ajst-13990	174	10	-	-	SYM
ajst-13990	174	11	241	241	NUM
ajst-13990	174	12	.	.	PUNCT
ajst-13990	175	1	[	[	X
ajst-13990	175	2	19	19	NUM
ajst-13990	175	3	]	]	X
ajst-13990	175	4	wang	wang	PROPN
ajst-13990	175	5	x	x	PROPN
ajst-13990	175	6	,	,	PUNCT
ajst-13990	175	7	girshick	girshick	ADJ
ajst-13990	175	8	r	r	NOUN
ajst-13990	175	9	,	,	PUNCT
ajst-13990	175	10	gupta	gupta	PROPN
ajst-13990	175	11	a	a	PRON
ajst-13990	175	12	,	,	PUNCT
ajst-13990	175	13	et	et	PROPN
ajst-13990	175	14	al	al	PROPN
ajst-13990	175	15	.	.	PUNCT
ajst-13990	175	16	non	non	ADJ
ajst-13990	175	17	-	-	ADJ
ajst-13990	175	18	local	local	ADJ
ajst-13990	175	19	neural	neural	ADJ
ajst-13990	175	20	networks[c]//proceedings	networks[c]//proceeding	NOUN
ajst-13990	175	21	of	of	ADP
ajst-13990	175	22	the	the	DET
ajst-13990	175	23	ieee	ieee	NOUN
ajst-13990	175	24	conference	conference	NOUN
ajst-13990	175	25	on	on	ADP
ajst-13990	175	26	computer	computer	NOUN
ajst-13990	175	27	vision	vision	NOUN
ajst-13990	175	28	and	and	CCONJ
ajst-13990	175	29	pattern	pattern	NOUN
ajst-13990	175	30	recognition	recognition	NOUN
ajst-13990	175	31	.	.	PUNCT
ajst-13990	176	1	2018	2018	NUM
ajst-13990	176	2	.	.	PUNCT
ajst-13990	177	1	7794	7794	NUM
ajst-13990	177	2	-	-	SYM
ajst-13990	177	3	7803	7803	NUM
ajst-13990	177	4	.	.	PUNCT