id	sid	tid	token	lemma	pos
esrj-80281	1	1	keywords	keyword	NOUN
esrj-80281	1	2	:	:	PUNCT
esrj-80281	1	3	gf-2	gf-2	ADJ
esrj-80281	1	4	;	;	PUNCT
esrj-80281	1	5	fusion	fusion	NOUN
esrj-80281	1	6	algorithm	algorithm	NOUN
esrj-80281	1	7	;	;	PUNCT
esrj-80281	1	8	objectoriented	objectoriente	VERB
esrj-80281	1	9	classification	classification	NOUN
esrj-80281	1	10	;	;	PUNCT
esrj-80281	1	11	classification	classification	NOUN
esrj-80281	1	12	effect	effect	NOUN
esrj-80281	1	13	.	.	PUNCT
esrj-80281	2	1	palabras	palabra	NOUN
esrj-80281	2	2	clave	clave	PROPN
esrj-80281	2	3	:	:	PUNCT
esrj-80281	2	4	gf-2	gf-2	X
esrj-80281	2	5	;	;	PUNCT
esrj-80281	2	6	algoritmo	algoritmo	PROPN
esrj-80281	2	7	de	de	PROPN
esrj-80281	2	8	fusión	fusión	PROPN
esrj-80281	2	9	;	;	PUNCT
esrj-80281	2	10	clasificación	clasificación	PROPN
esrj-80281	2	11	orientada	orientada	PROPN
esrj-80281	2	12	a	a	DET
esrj-80281	2	13	objetos	objeto	NOUN
esrj-80281	2	14	;	;	PUNCT
esrj-80281	2	15	efecto	efecto	PROPN
esrj-80281	2	16	de	de	PROPN
esrj-80281	2	17	clasificación	clasificación	PROPN
esrj-80281	2	18	.	.	PUNCT
esrj-80281	3	1	how	how	SCONJ
esrj-80281	3	2	to	to	PART
esrj-80281	3	3	cite	cite	VERB
esrj-80281	3	4	item	item	PROPN
esrj-80281	3	5	ren	ren	PROPN
esrj-80281	3	6	,	,	PUNCT
esrj-80281	3	7	j.	j.	PROPN
esrj-80281	3	8	,	,	PUNCT
esrj-80281	3	9	yang	yang	PROPN
esrj-80281	3	10	,	,	PUNCT
esrj-80281	3	11	w.	w.	PROPN
esrj-80281	3	12	,	,	PUNCT
esrj-80281	3	13	yang	yang	PROPN
esrj-80281	3	14	,	,	PUNCT
esrj-80281	3	15	x.	x.	PROPN
esrj-80281	3	16	,	,	PUNCT
esrj-80281	3	17	deng	deng	PROPN
esrj-80281	3	18	,	,	PUNCT
esrj-80281	3	19	x.	x.	PROPN
esrj-80281	3	20	,	,	PUNCT
esrj-80281	3	21	zhao	zhao	PROPN
esrj-80281	3	22	,	,	PUNCT
esrj-80281	3	23	h.	h.	PROPN
esrj-80281	3	24	,	,	PUNCT
esrj-80281	3	25	wang	wang	PROPN
esrj-80281	3	26	,	,	PUNCT
esrj-80281	3	27	f.	f.	PROPN
esrj-80281	3	28	,	,	PUNCT
esrj-80281	3	29	&	&	CCONJ
esrj-80281	3	30	wang	wang	PROPN
esrj-80281	3	31	,	,	PUNCT
esrj-80281	3	32	l.	l.	PROPN
esrj-80281	3	33	(	(	PUNCT
esrj-80281	3	34	2019	2019	NUM
esrj-80281	3	35	)	)	PUNCT
esrj-80281	3	36	.	.	PUNCT
esrj-80281	4	1	optimization	optimization	NOUN
esrj-80281	4	2	of	of	ADP
esrj-80281	4	3	fusion	fusion	NOUN
esrj-80281	4	4	method	method	NOUN
esrj-80281	4	5	for	for	ADP
esrj-80281	4	6	gf-2	gf-2	X
esrj-80281	4	7	satellite	satellite	PROPN
esrj-80281	4	8	remote	remote	ADJ
esrj-80281	4	9	sensing	sensing	NOUN
esrj-80281	4	10	images	image	NOUN
esrj-80281	4	11	based	base	VERB
esrj-80281	4	12	on	on	ADP
esrj-80281	4	13	the	the	DET
esrj-80281	4	14	classification	classification	NOUN
esrj-80281	4	15	effect	effect	NOUN
esrj-80281	4	16	.	.	PUNCT
esrj-80281	5	1	earth	earth	NOUN
esrj-80281	5	2	sciences	sciences	PROPN
esrj-80281	5	3	research	research	PROPN
esrj-80281	5	4	journal	journal	PROPN
esrj-80281	5	5	,	,	PUNCT
esrj-80281	5	6	23(2	23(2	NUM
esrj-80281	5	7	)	)	PUNCT
esrj-80281	5	8	,	,	PUNCT
esrj-80281	5	9	163	163	NUM
esrj-80281	5	10	-	-	SYM
esrj-80281	5	11	169	169	NUM
esrj-80281	5	12	.	.	PUNCT
esrj-80281	6	1	doi	doi	NOUN
esrj-80281	6	2	:	:	PUNCT
esrj-80281	6	3	https://doi.org/10.15446/esrj	https://doi.org/10.15446/esrj	NOUN
esrj-80281	6	4	.	.	PUNCT
esrj-80281	7	1	v23n2.80281	v23n2.80281	NOUN
esrj-80281	7	2	with	with	ADP
esrj-80281	7	3	the	the	DET
esrj-80281	7	4	successful	successful	ADJ
esrj-80281	7	5	launch	launch	NOUN
esrj-80281	7	6	of	of	ADP
esrj-80281	7	7	china	china	PROPN
esrj-80281	7	8	’s	’s	PART
esrj-80281	7	9	gf	gf	PROPN
esrj-80281	7	10	series	series	PROPN
esrj-80281	7	11	satellites	satellites	PROPN
esrj-80281	7	12	,	,	PUNCT
esrj-80281	7	13	it	it	PRON
esrj-80281	7	14	is	be	AUX
esrj-80281	7	15	more	more	ADV
esrj-80281	7	16	important	important	ADJ
esrj-80281	7	17	to	to	PART
esrj-80281	7	18	study	study	VERB
esrj-80281	7	19	the	the	DET
esrj-80281	7	20	image	image	NOUN
esrj-80281	7	21	data	datum	NOUN
esrj-80281	7	22	quality	quality	NOUN
esrj-80281	7	23	,	,	PUNCT
esrj-80281	7	24	the	the	DET
esrj-80281	7	25	adaptability	adaptability	NOUN
esrj-80281	7	26	of	of	ADP
esrj-80281	7	27	processing	processing	NOUN
esrj-80281	7	28	method	method	NOUN
esrj-80281	7	29	and	and	CCONJ
esrj-80281	7	30	information	information	NOUN
esrj-80281	7	31	extraction	extraction	NOUN
esrj-80281	7	32	method	method	NOUN
esrj-80281	7	33	.	.	PUNCT
esrj-80281	8	1	the	the	DET
esrj-80281	8	2	panchromatic	panchromatic	ADJ
esrj-80281	8	3	and	and	CCONJ
esrj-80281	8	4	multi	multi	ADJ
esrj-80281	8	5	-	-	ADJ
esrj-80281	8	6	spectral	spectral	ADJ
esrj-80281	8	7	data	datum	NOUN
esrj-80281	8	8	which	which	PRON
esrj-80281	8	9	is	be	AUX
esrj-80281	8	10	based	base	VERB
esrj-80281	8	11	on	on	ADP
esrj-80281	8	12	the	the	DET
esrj-80281	8	13	gf-2	gf-2	X
esrj-80281	8	14	images	image	NOUN
esrj-80281	8	15	data	datum	NOUN
esrj-80281	8	16	of	of	ADP
esrj-80281	8	17	chinese	chinese	ADJ
esrj-80281	8	18	sub	sub	ADJ
esrj-80281	8	19	-	-	ADJ
esrj-80281	8	20	meter	meter	ADJ
esrj-80281	8	21	high	high	ADJ
esrj-80281	8	22	-	-	PUNCT
esrj-80281	8	23	resolution	resolution	NOUN
esrj-80281	8	24	remote	remote	ADJ
esrj-80281	8	25	sensing	sense	VERB
esrj-80281	8	26	satellite	satellite	NOUN
esrj-80281	8	27	is	be	AUX
esrj-80281	8	28	fused	fuse	VERB
esrj-80281	8	29	by	by	ADP
esrj-80281	8	30	pca	pca	PROPN
esrj-80281	8	31	,	,	PUNCT
esrj-80281	8	32	pansharp	pansharp	ADJ
esrj-80281	8	33	,	,	PUNCT
esrj-80281	8	34	gram	gram	NOUN
esrj-80281	8	35	-	-	PUNCT
esrj-80281	8	36	schmidt	schmidt	NOUN
esrj-80281	8	37	and	and	CCONJ
esrj-80281	8	38	nndiffuse	nndiffuse	NOUN
esrj-80281	8	39	fusion	fusion	NOUN
esrj-80281	8	40	.	.	PUNCT
esrj-80281	9	1	then	then	ADV
esrj-80281	9	2	,	,	PUNCT
esrj-80281	9	3	the	the	DET
esrj-80281	9	4	quality	quality	NOUN
esrj-80281	9	5	of	of	ADP
esrj-80281	9	6	the	the	DET
esrj-80281	9	7	fusion	fusion	NOUN
esrj-80281	9	8	images	image	NOUN
esrj-80281	9	9	were	be	AUX
esrj-80281	9	10	evaluated	evaluate	VERB
esrj-80281	9	11	subjectively	subjectively	ADV
esrj-80281	9	12	and	and	CCONJ
esrj-80281	9	13	objectively	objectively	ADV
esrj-80281	9	14	.	.	PUNCT
esrj-80281	10	1	in	in	ADP
esrj-80281	10	2	order	order	NOUN
esrj-80281	10	3	to	to	PART
esrj-80281	10	4	evaluate	evaluate	VERB
esrj-80281	10	5	the	the	DET
esrj-80281	10	6	applicability	applicability	NOUN
esrj-80281	10	7	of	of	ADP
esrj-80281	10	8	different	different	ADJ
esrj-80281	10	9	classification	classification	NOUN
esrj-80281	10	10	algorithms	algorithm	NOUN
esrj-80281	10	11	to	to	ADP
esrj-80281	10	12	the	the	DET
esrj-80281	10	13	classification	classification	NOUN
esrj-80281	10	14	,	,	PUNCT
esrj-80281	10	15	the	the	DET
esrj-80281	10	16	object	object	NOUN
esrj-80281	10	17	-	-	PUNCT
esrj-80281	10	18	oriented	orient	VERB
esrj-80281	10	19	classification	classification	NOUN
esrj-80281	10	20	algorithm	algorithm	NOUN
esrj-80281	10	21	which	which	PRON
esrj-80281	10	22	is	be	AUX
esrj-80281	10	23	based	base	VERB
esrj-80281	10	24	on	on	ADP
esrj-80281	10	25	machine	machine	NOUN
esrj-80281	10	26	learning	learning	NOUN
esrj-80281	10	27	algorithm	algorithm	NOUN
esrj-80281	10	28	,	,	PUNCT
esrj-80281	10	29	such	such	ADJ
esrj-80281	10	30	as	as	ADP
esrj-80281	10	31	knn	knn	PROPN
esrj-80281	10	32	,	,	PUNCT
esrj-80281	10	33	svm	svm	ADJ
esrj-80281	10	34	and	and	CCONJ
esrj-80281	10	35	random	random	ADJ
esrj-80281	10	36	trees	tree	NOUN
esrj-80281	10	37	were	be	AUX
esrj-80281	10	38	used	use	VERB
esrj-80281	10	39	to	to	PART
esrj-80281	10	40	classify	classify	VERB
esrj-80281	10	41	the	the	DET
esrj-80281	10	42	different	different	ADJ
esrj-80281	10	43	gf-2	gf-2	ADJ
esrj-80281	10	44	fusion	fusion	NOUN
esrj-80281	10	45	images	image	NOUN
esrj-80281	10	46	.	.	PUNCT
esrj-80281	11	1	the	the	DET
esrj-80281	11	2	results	result	NOUN
esrj-80281	11	3	showed	show	VERB
esrj-80281	11	4	that	that	SCONJ
esrj-80281	11	5	:	:	PUNCT
esrj-80281	11	6	(	(	PUNCT
esrj-80281	11	7	1	1	X
esrj-80281	11	8	)	)	PUNCT
esrj-80281	11	9	the	the	DET
esrj-80281	11	10	best	good	ADJ
esrj-80281	11	11	visual	visual	ADJ
esrj-80281	11	12	effect	effect	NOUN
esrj-80281	11	13	of	of	ADP
esrj-80281	11	14	gf-2	gf-2	ADJ
esrj-80281	11	15	fusion	fusion	NOUN
esrj-80281	11	16	image	image	NOUN
esrj-80281	11	17	was	be	AUX
esrj-80281	11	18	the	the	DET
esrj-80281	11	19	pansharp	pansharp	ADJ
esrj-80281	11	20	fusion	fusion	NOUN
esrj-80281	11	21	image	image	NOUN
esrj-80281	11	22	;	;	PUNCT
esrj-80281	11	23	the	the	DET
esrj-80281	11	24	quantitative	quantitative	ADJ
esrj-80281	11	25	evaluation	evaluation	NOUN
esrj-80281	11	26	results	result	NOUN
esrj-80281	11	27	showed	show	VERB
esrj-80281	11	28	that	that	SCONJ
esrj-80281	11	29	the	the	DET
esrj-80281	11	30	brightness	brightness	NOUN
esrj-80281	11	31	and	and	CCONJ
esrj-80281	11	32	information	information	NOUN
esrj-80281	11	33	retention	retention	NOUN
esrj-80281	11	34	of	of	ADP
esrj-80281	11	35	gram	gram	NOUN
esrj-80281	11	36	-	-	PUNCT
esrj-80281	11	37	schmidt	schmidt	NOUN
esrj-80281	11	38	fusion	fusion	NOUN
esrj-80281	11	39	image	image	NOUN
esrj-80281	11	40	was	be	AUX
esrj-80281	11	41	the	the	DET
esrj-80281	11	42	best	good	ADJ
esrj-80281	11	43	,	,	PUNCT
esrj-80281	11	44	while	while	SCONJ
esrj-80281	11	45	the	the	DET
esrj-80281	11	46	pansharp	pansharp	ADJ
esrj-80281	11	47	fusion	fusion	NOUN
esrj-80281	11	48	image	image	NOUN
esrj-80281	11	49	had	have	VERB
esrj-80281	11	50	the	the	DET
esrj-80281	11	51	highest	high	ADJ
esrj-80281	11	52	correlation	correlation	NOUN
esrj-80281	11	53	with	with	ADP
esrj-80281	11	54	the	the	DET
esrj-80281	11	55	original	original	ADJ
esrj-80281	11	56	multi	multi	ADJ
esrj-80281	11	57	-	-	ADJ
esrj-80281	11	58	spectral	spectral	ADJ
esrj-80281	11	59	image	image	NOUN
esrj-80281	11	60	;	;	PUNCT
esrj-80281	11	61	the	the	DET
esrj-80281	11	62	nndiffuse	nndiffuse	NOUN
esrj-80281	11	63	fusion	fusion	NOUN
esrj-80281	11	64	image	image	NOUN
esrj-80281	11	65	had	have	VERB
esrj-80281	11	66	the	the	DET
esrj-80281	11	67	highest	high	ADJ
esrj-80281	11	68	clarity	clarity	NOUN
esrj-80281	11	69	,	,	PUNCT
esrj-80281	11	70	and	and	CCONJ
esrj-80281	11	71	the	the	DET
esrj-80281	11	72	pca	pca	NOUN
esrj-80281	11	73	fusion	fusion	NOUN
esrj-80281	11	74	image	image	NOUN
esrj-80281	11	75	quantitative	quantitative	ADJ
esrj-80281	11	76	evaluation	evaluation	NOUN
esrj-80281	11	77	effect	effect	NOUN
esrj-80281	11	78	was	be	AUX
esrj-80281	11	79	the	the	DET
esrj-80281	11	80	worst	bad	ADJ
esrj-80281	11	81	;	;	PUNCT
esrj-80281	11	82	(	(	PUNCT
esrj-80281	11	83	2	2	X
esrj-80281	11	84	)	)	PUNCT
esrj-80281	11	85	according	accord	VERB
esrj-80281	11	86	to	to	ADP
esrj-80281	11	87	the	the	DET
esrj-80281	11	88	applicability	applicability	NOUN
esrj-80281	11	89	analysis	analysis	NOUN
esrj-80281	11	90	of	of	ADP
esrj-80281	11	91	the	the	DET
esrj-80281	11	92	fusion	fusion	NOUN
esrj-80281	11	93	images	image	NOUN
esrj-80281	11	94	based	base	VERB
esrj-80281	11	95	on	on	ADP
esrj-80281	11	96	different	different	ADJ
esrj-80281	11	97	classification	classification	NOUN
esrj-80281	11	98	algorithms	algorithm	NOUN
esrj-80281	11	99	with	with	ADP
esrj-80281	11	100	features	feature	VERB
esrj-80281	11	101	information	information	NOUN
esrj-80281	11	102	extraction	extraction	NOUN
esrj-80281	11	103	,	,	PUNCT
esrj-80281	11	104	it	it	PRON
esrj-80281	11	105	could	could	AUX
esrj-80281	11	106	be	be	AUX
esrj-80281	11	107	seen	see	VERB
esrj-80281	11	108	that	that	SCONJ
esrj-80281	11	109	the	the	DET
esrj-80281	11	110	nndiffuse	nndiffuse	NOUN
esrj-80281	11	111	fusion	fusion	NOUN
esrj-80281	11	112	method	method	NOUN
esrj-80281	11	113	was	be	AUX
esrj-80281	11	114	used	use	VERB
esrj-80281	11	115	for	for	ADP
esrj-80281	11	116	the	the	DET
esrj-80281	11	117	fusion	fusion	NOUN
esrj-80281	11	118	of	of	ADP
esrj-80281	11	119	gf-2	gf-2	X
esrj-80281	11	120	image	image	NOUN
esrj-80281	11	121	data	datum	NOUN
esrj-80281	11	122	,	,	PUNCT
esrj-80281	11	123	and	and	CCONJ
esrj-80281	11	124	the	the	DET
esrj-80281	11	125	classification	classification	NOUN
esrj-80281	11	126	of	of	ADP
esrj-80281	11	127	the	the	DET
esrj-80281	11	128	fusion	fusion	NOUN
esrj-80281	11	129	images	image	NOUN
esrj-80281	11	130	was	be	AUX
esrj-80281	11	131	more	more	ADV
esrj-80281	11	132	suitable	suitable	ADJ
esrj-80281	11	133	by	by	ADP
esrj-80281	11	134	using	use	VERB
esrj-80281	11	135	knn	knn	PROPN
esrj-80281	11	136	or	or	CCONJ
esrj-80281	11	137	random	random	ADJ
esrj-80281	11	138	trees	tree	NOUN
esrj-80281	11	139	classification	classification	NOUN
esrj-80281	11	140	algorithm	algorithm	NOUN
esrj-80281	11	141	.	.	PUNCT
esrj-80281	12	1	abstract	abstract	ADJ
esrj-80281	12	2	optimization	optimization	NOUN
esrj-80281	12	3	of	of	ADP
esrj-80281	12	4	fusion	fusion	NOUN
esrj-80281	12	5	method	method	NOUN
esrj-80281	12	6	for	for	ADP
esrj-80281	12	7	gf-2	gf-2	X
esrj-80281	12	8	satellite	satellite	PROPN
esrj-80281	12	9	remote	remote	ADJ
esrj-80281	12	10	sensing	sensing	NOUN
esrj-80281	12	11	images	image	NOUN
esrj-80281	12	12	based	base	VERB
esrj-80281	12	13	on	on	ADP
esrj-80281	12	14	the	the	DET
esrj-80281	12	15	classification	classification	NOUN
esrj-80281	12	16	effect	effect	NOUN
esrj-80281	12	17	optimización	optimización	VERB
esrj-80281	12	18	del	del	X
esrj-80281	12	19	método	método	X
esrj-80281	12	20	de	de	X
esrj-80281	12	21	fusión	fusión	PROPN
esrj-80281	12	22	para	para	PROPN
esrj-80281	12	23	imágenes	imágene	VERB
esrj-80281	12	24	satelitales	satelitales	PROPN
esrj-80281	12	25	gf-2	gf-2	X
esrj-80281	12	26	basadas	basadas	PROPN
esrj-80281	12	27	en	en	PROPN
esrj-80281	12	28	el	el	PROPN
esrj-80281	12	29	efecto	efecto	PROPN
esrj-80281	12	30	de	de	PROPN
esrj-80281	12	31	clasificación	clasificación	PROPN
esrj-80281	12	32	issn	issn	PROPN
esrj-80281	12	33	1794	1794	NUM
esrj-80281	12	34	-	-	SYM
esrj-80281	12	35	6190	6190	NUM
esrj-80281	12	36	e	e	NOUN
esrj-80281	12	37	-	-	NOUN
esrj-80281	12	38	issn	issn	PROPN
esrj-80281	12	39	2339	2339	NUM
esrj-80281	12	40	-	-	SYM
esrj-80281	12	41	3459	3459	NUM
esrj-80281	12	42	https://doi.org/10.15446/esrj.v23n2.80281	https://doi.org/10.15446/esrj.v23n2.80281	ADV
esrj-80281	12	43	con	con	PROPN
esrj-80281	12	44	el	el	PROPN
esrj-80281	12	45	lanzamiento	lanzamiento	PROPN
esrj-80281	12	46	exitoso	exitoso	PROPN
esrj-80281	12	47	de	de	PROPN
esrj-80281	12	48	los	los	PROPN
esrj-80281	12	49	satélites	satélite	NOUN
esrj-80281	12	50	de	de	X
esrj-80281	12	51	la	la	X
esrj-80281	12	52	serie	serie	X
esrj-80281	12	53	gf	gf	PROPN
esrj-80281	12	54	de	de	X
esrj-80281	12	55	china	china	PROPN
esrj-80281	12	56	es	es	PROPN
esrj-80281	12	57	más	más	PROPN
esrj-80281	12	58	importante	importante	PROPN
esrj-80281	12	59	estudiar	estudiar	PROPN
esrj-80281	12	60	la	la	ADP
esrj-80281	12	61	calidad	calidad	PROPN
esrj-80281	12	62	de	de	X
esrj-80281	12	63	los	los	PROPN
esrj-80281	12	64	datos	datos	PROPN
esrj-80281	12	65	de	de	PROPN
esrj-80281	12	66	imagen	imagen	PROPN
esrj-80281	12	67	,	,	PUNCT
esrj-80281	12	68	la	la	PROPN
esrj-80281	12	69	adaptabilidad	adaptabilidad	PROPN
esrj-80281	12	70	del	del	PROPN
esrj-80281	12	71	método	método	PROPN
esrj-80281	12	72	de	de	PROPN
esrj-80281	12	73	procesamiento	procesamiento	PROPN
esrj-80281	12	74	y	y	PROPN
esrj-80281	12	75	el	el	PROPN
esrj-80281	12	76	método	método	PROPN
esrj-80281	12	77	de	de	X
esrj-80281	12	78	extracción	extracción	PROPN
esrj-80281	12	79	de	de	PROPN
esrj-80281	12	80	información	información	PROPN
esrj-80281	12	81	.	.	PUNCT
esrj-80281	13	1	los	los	PROPN
esrj-80281	13	2	datos	datos	PROPN
esrj-80281	13	3	pancromáticos	pancromáticos	PROPN
esrj-80281	13	4	y	y	PROPN
esrj-80281	13	5	multiespectrales	multiespectrales	PROPN
esrj-80281	13	6	que	que	PROPN
esrj-80281	13	7	se	se	PROPN
esrj-80281	13	8	basan	basan	PROPN
esrj-80281	13	9	en	en	PROPN
esrj-80281	13	10	los	los	PROPN
esrj-80281	13	11	datos	datos	PROPN
esrj-80281	13	12	de	de	PROPN
esrj-80281	13	13	imágenes	imágenes	X
esrj-80281	13	14	gf-2	gf-2	X
esrj-80281	13	15	del	del	PROPN
esrj-80281	13	16	satélite	satélite	PROPN
esrj-80281	13	17	de	de	PROPN
esrj-80281	13	18	teleobservación	teleobservación	PROPN
esrj-80281	13	19	de	de	PROPN
esrj-80281	13	20	alta	alta	PROPN
esrj-80281	13	21	resolución	resolución	PROPN
esrj-80281	13	22	en	en	PROPN
esrj-80281	13	23	el	el	PROPN
esrj-80281	13	24	submetro	submetro	PROPN
esrj-80281	13	25	chino	chino	PROPN
esrj-80281	13	26	,	,	PUNCT
esrj-80281	13	27	se	se	X
esrj-80281	13	28	fusionaron	fusionaron	PROPN
esrj-80281	13	29	mediante	mediante	PROPN
esrj-80281	13	30	pca	pca	PROPN
esrj-80281	13	31	,	,	PUNCT
esrj-80281	13	32	pansharp	pansharp	ADJ
esrj-80281	13	33	,	,	PUNCT
esrj-80281	13	34	gram	gram	NOUN
esrj-80281	13	35	-	-	PUNCT
esrj-80281	13	36	schmidt	schmidt	NOUN
esrj-80281	13	37	y	y	PROPN
esrj-80281	13	38	nndiffuse	nndiffuse	NOUN
esrj-80281	13	39	.	.	PUNCT
esrj-80281	14	1	luego	luego	PROPN
esrj-80281	14	2	,	,	PUNCT
esrj-80281	14	3	la	la	X
esrj-80281	14	4	calidad	calidad	PROPN
esrj-80281	14	5	de	de	PROPN
esrj-80281	14	6	las	las	PROPN
esrj-80281	14	7	imágenes	imágenes	PROPN
esrj-80281	14	8	de	de	PROPN
esrj-80281	14	9	fusión	fusión	PROPN
esrj-80281	14	10	se	se	PROPN
esrj-80281	14	11	evaluó	evaluó	PROPN
esrj-80281	14	12	de	de	PROPN
esrj-80281	14	13	manera	manera	PROPN
esrj-80281	14	14	subjetiva	subjetiva	PROPN
esrj-80281	14	15	y	y	PROPN
esrj-80281	14	16	objetiva	objetiva	PROPN
esrj-80281	14	17	.	.	PUNCT
esrj-80281	15	1	para	para	PROPN
esrj-80281	15	2	evaluar	evaluar	PROPN
esrj-80281	15	3	la	la	PROPN
esrj-80281	15	4	aplicabilidad	aplicabilidad	PROPN
esrj-80281	15	5	de	de	PROPN
esrj-80281	15	6	diferentes	diferentes	PROPN
esrj-80281	15	7	algoritmos	algoritmos	PROPN
esrj-80281	15	8	de	de	PROPN
esrj-80281	15	9	clasificación	clasificación	PROPN
esrj-80281	15	10	,	,	PUNCT
esrj-80281	15	11	se	se	X
esrj-80281	15	12	utilizó	utilizó	PROPN
esrj-80281	15	13	el	el	PROPN
esrj-80281	15	14	algoritmo	algoritmo	PROPN
esrj-80281	15	15	de	de	PROPN
esrj-80281	15	16	clasificación	clasificación	PROPN
esrj-80281	15	17	orientado	orientado	VERB
esrj-80281	15	18	a	a	DET
esrj-80281	15	19	objetos	objetos	PROPN
esrj-80281	15	20	basado	basado	PROPN
esrj-80281	15	21	en	en	PROPN
esrj-80281	15	22	el	el	PROPN
esrj-80281	15	23	aprendizaje	aprendizaje	PROPN
esrj-80281	15	24	automático	automático	PROPN
esrj-80281	15	25	,	,	PUNCT
esrj-80281	15	26	como	como	PROPN
esrj-80281	15	27	knn	knn	PROPN
esrj-80281	15	28	,	,	PUNCT
esrj-80281	15	29	svm	svm	VERB
esrj-80281	15	30	y	y	PROPN
esrj-80281	15	31	árboles	árboles	PROPN
esrj-80281	15	32	aleatorios	aleatorios	PROPN
esrj-80281	15	33	para	para	PROPN
esrj-80281	15	34	clasificar	clasificar	PROPN
esrj-80281	15	35	las	las	PROPN
esrj-80281	15	36	diferentes	diferentes	PROPN
esrj-80281	15	37	imágenes	imágenes	PROPN
esrj-80281	15	38	de	de	PROPN
esrj-80281	15	39	fusión	fusión	PROPN
esrj-80281	15	40	de	de	X
esrj-80281	15	41	gf-2	gf-2	PROPN
esrj-80281	15	42	.	.	PUNCT
esrj-80281	16	1	los	los	PROPN
esrj-80281	16	2	resultados	resultados	PROPN
esrj-80281	16	3	mostraron	mostraron	PROPN
esrj-80281	16	4	que	que	PROPN
esrj-80281	16	5	:	:	PUNCT
esrj-80281	16	6	(	(	PUNCT
esrj-80281	16	7	1	1	X
esrj-80281	16	8	)	)	PUNCT
esrj-80281	16	9	el	el	PROPN
esrj-80281	16	10	mejor	mejor	PROPN
esrj-80281	16	11	efecto	efecto	PROPN
esrj-80281	16	12	visual	visual	PROPN
esrj-80281	16	13	de	de	X
esrj-80281	16	14	la	la	PROPN
esrj-80281	16	15	imagen	imagen	PROPN
esrj-80281	16	16	de	de	PROPN
esrj-80281	16	17	fusión	fusión	PROPN
esrj-80281	16	18	gf-2	gf-2	X
esrj-80281	16	19	fue	fue	PROPN
esrj-80281	16	20	la	la	PROPN
esrj-80281	16	21	imagen	imagen	PROPN
esrj-80281	16	22	de	de	PROPN
esrj-80281	16	23	fusión	fusión	PROPN
esrj-80281	16	24	pansharp	pansharp	NOUN
esrj-80281	16	25	;	;	PUNCT
esrj-80281	16	26	los	los	PROPN
esrj-80281	16	27	resultados	resultados	PROPN
esrj-80281	16	28	de	de	X
esrj-80281	16	29	la	la	X
esrj-80281	16	30	evaluación	evaluación	PROPN
esrj-80281	16	31	cuantitativa	cuantitativa	PROPN
esrj-80281	16	32	mostraron	mostraron	PROPN
esrj-80281	16	33	que	que	PROPN
esrj-80281	16	34	el	el	PROPN
esrj-80281	16	35	brillo	brillo	PROPN
esrj-80281	16	36	y	y	PROPN
esrj-80281	16	37	la	la	PROPN
esrj-80281	16	38	retención	retención	PROPN
esrj-80281	16	39	de	de	PROPN
esrj-80281	16	40	información	información	PROPN
esrj-80281	16	41	de	de	PROPN
esrj-80281	16	42	la	la	PROPN
esrj-80281	16	43	imagen	imagen	PROPN
esrj-80281	16	44	de	de	PROPN
esrj-80281	16	45	fusión	fusión	PROPN
esrj-80281	16	46	gram	gram	PROPN
esrj-80281	16	47	-	-	PUNCT
esrj-80281	16	48	schmidt	schmidt	PROPN
esrj-80281	16	49	fueron	fueron	PROPN
esrj-80281	16	50	los	los	PROPN
esrj-80281	16	51	mejores	mejores	PROPN
esrj-80281	16	52	,	,	PUNCT
esrj-80281	16	53	mientras	mientras	X
esrj-80281	16	54	que	que	X
esrj-80281	16	55	la	la	PROPN
esrj-80281	16	56	imagen	imagen	PROPN
esrj-80281	16	57	de	de	PROPN
esrj-80281	16	58	fusión	fusión	PROPN
esrj-80281	16	59	pansharp	pansharp	PROPN
esrj-80281	16	60	tuvo	tuvo	PROPN
esrj-80281	16	61	la	la	PROPN
esrj-80281	16	62	mayor	mayor	PROPN
esrj-80281	16	63	correlación	correlación	PROPN
esrj-80281	16	64	con	con	PROPN
esrj-80281	16	65	la	la	PROPN
esrj-80281	16	66	imagen	imagen	PROPN
esrj-80281	16	67	multiespectral	multiespectral	PROPN
esrj-80281	16	68	original	original	NOUN
esrj-80281	16	69	;	;	PUNCT
esrj-80281	16	70	la	la	PROPN
esrj-80281	16	71	imagen	imagen	PROPN
esrj-80281	16	72	de	de	PROPN
esrj-80281	16	73	fusión	fusión	PROPN
esrj-80281	16	74	nndiffuse	nndiffuse	VERB
esrj-80281	16	75	tuvo	tuvo	PROPN
esrj-80281	16	76	la	la	PROPN
esrj-80281	16	77	mayor	mayor	PROPN
esrj-80281	16	78	claridad	claridad	PROPN
esrj-80281	16	79	,	,	PUNCT
esrj-80281	16	80	y	y	PROPN
esrj-80281	16	81	el	el	PROPN
esrj-80281	16	82	efecto	efecto	PROPN
esrj-80281	16	83	de	de	X
esrj-80281	16	84	evaluación	evaluación	X
esrj-80281	16	85	cuantitativa	cuantitativa	PROPN
esrj-80281	16	86	de	de	X
esrj-80281	16	87	la	la	PROPN
esrj-80281	16	88	imagen	imagen	PROPN
esrj-80281	16	89	de	de	PROPN
esrj-80281	16	90	fusión	fusión	PROPN
esrj-80281	16	91	pca	pca	PROPN
esrj-80281	16	92	fue	fue	PROPN
esrj-80281	16	93	el	el	PROPN
esrj-80281	16	94	peor	peor	PROPN
esrj-80281	16	95	;	;	PUNCT
esrj-80281	16	96	(	(	PUNCT
esrj-80281	16	97	2	2	X
esrj-80281	16	98	)	)	PUNCT
esrj-80281	16	99	de	de	X
esrj-80281	16	100	acuerdo	acuerdo	PROPN
esrj-80281	16	101	con	con	PROPN
esrj-80281	16	102	el	el	PROPN
esrj-80281	16	103	análisis	análisis	PROPN
esrj-80281	16	104	de	de	PROPN
esrj-80281	16	105	aplicabilidad	aplicabilidad	PROPN
esrj-80281	16	106	de	de	PROPN
esrj-80281	16	107	las	las	PROPN
esrj-80281	16	108	imágenes	imágenes	PROPN
esrj-80281	16	109	de	de	PROPN
esrj-80281	16	110	fusión	fusión	PROPN
esrj-80281	16	111	basadas	basadas	PROPN
esrj-80281	16	112	en	en	ADP
esrj-80281	16	113	diferentes	diferentes	PROPN
esrj-80281	16	114	algoritmos	algoritmos	PROPN
esrj-80281	16	115	de	de	PROPN
esrj-80281	16	116	clasificación	clasificación	PROPN
esrj-80281	16	117	con	con	PROPN
esrj-80281	16	118	características	características	PROPN
esrj-80281	16	119	de	de	X
esrj-80281	16	120	extracción	extracción	PROPN
esrj-80281	16	121	de	de	PROPN
esrj-80281	16	122	información	información	PROPN
esrj-80281	16	123	,	,	PUNCT
esrj-80281	16	124	se	se	PROPN
esrj-80281	16	125	pudo	pudo	PROPN
esrj-80281	16	126	ver	ver	PROPN
esrj-80281	16	127	que	que	PROPN
esrj-80281	16	128	se	se	PROPN
esrj-80281	16	129	usó	usó	PROPN
esrj-80281	16	130	el	el	PROPN
esrj-80281	16	131	método	método	PROPN
esrj-80281	16	132	de	de	PROPN
esrj-80281	16	133	fusión	fusión	PROPN
esrj-80281	16	134	nndiffuse	nndiffuse	VERB
esrj-80281	16	135	para	para	PROPN
esrj-80281	16	136	la	la	PROPN
esrj-80281	16	137	fusión	fusión	PROPN
esrj-80281	16	138	de	de	X
esrj-80281	16	139	datos	datos	X
esrj-80281	16	140	de	de	PROPN
esrj-80281	16	141	imágenes	imágenes	X
esrj-80281	16	142	gf-2	gf-2	PROPN
esrj-80281	16	143	,	,	PUNCT
esrj-80281	16	144	y	y	PROPN
esrj-80281	16	145	la	la	PROPN
esrj-80281	16	146	clasificación	clasificación	PROPN
esrj-80281	16	147	de	de	PROPN
esrj-80281	16	148	las	las	PROPN
esrj-80281	16	149	imágenes	imágenes	PROPN
esrj-80281	16	150	de	de	PROPN
esrj-80281	16	151	fusión	fusión	PROPN
esrj-80281	16	152	fue	fue	PROPN
esrj-80281	16	153	más	más	PROPN
esrj-80281	16	154	apropiada	apropiada	PROPN
esrj-80281	16	155	utilizando	utilizando	PROPN
esrj-80281	16	156	el	el	PROPN
esrj-80281	16	157	algoritmo	algoritmo	PROPN
esrj-80281	16	158	de	de	PROPN
esrj-80281	16	159	clasificación	clasificación	PROPN
esrj-80281	16	160	knn	knn	PROPN
esrj-80281	16	161	o	o	X
esrj-80281	16	162	random	random	ADJ
esrj-80281	16	163	trees	tree	NOUN
esrj-80281	16	164	.	.	PUNCT
esrj-80281	17	1	resumen	resuman	NOUN
esrj-80281	17	2	record	record	PROPN
esrj-80281	17	3	manuscript	manuscript	NOUN
esrj-80281	17	4	received	receive	VERB
esrj-80281	17	5	:	:	PUNCT
esrj-80281	17	6	09/04/2018	09/04/2018	NOUN
esrj-80281	17	7	accepted	accept	VERB
esrj-80281	17	8	for	for	ADP
esrj-80281	17	9	publication	publication	NOUN
esrj-80281	17	10	:	:	PUNCT
esrj-80281	17	11	18/02/2019	18/02/2019	NUM
esrj-80281	17	12	earth	earth	NOUN
esrj-80281	17	13	sciences	sciences	PROPN
esrj-80281	17	14	research	research	PROPN
esrj-80281	17	15	journal	journal	PROPN
esrj-80281	17	16	earth	earth	PROPN
esrj-80281	17	17	sci	sci	PROPN
esrj-80281	17	18	.	.	PUNCT
esrj-80281	18	1	res	res	PROPN
esrj-80281	18	2	.	.	PUNCT
esrj-80281	19	1	j.	j.	PROPN
esrj-80281	19	2	vol	vol	PROPN
esrj-80281	19	3	.	.	PROPN
esrj-80281	20	1	23	23	NUM
esrj-80281	20	2	,	,	PUNCT
esrj-80281	20	3	no	no	INTJ
esrj-80281	20	4	.	.	NOUN
esrj-80281	20	5	2	2	NUM
esrj-80281	20	6	(	(	PUNCT
esrj-80281	20	7	june	june	PROPN
esrj-80281	20	8	,	,	PUNCT
esrj-80281	20	9	2019	2019	NUM
esrj-80281	20	10	):	):	PUNCT
esrj-80281	20	11	163	163	NUM
esrj-80281	20	12	-	-	SYM
esrj-80281	20	13	169	169	NUM
esrj-80281	20	14	jintong	jintong	ADP
esrj-80281	20	15	ren1	ren1	PROPN
esrj-80281	20	16	,	,	PUNCT
esrj-80281	20	17	3	3	NUM
esrj-80281	20	18	,	,	PUNCT
esrj-80281	20	19	wunian	wunian	PROPN
esrj-80281	20	20	yang	yang	PROPN
esrj-80281	20	21	1	1	NUM
esrj-80281	20	22	,	,	PUNCT
esrj-80281	20	23	2	2	NUM
esrj-80281	20	24	*	*	NUM
esrj-80281	20	25	,	,	PUNCT
esrj-80281	20	26	xin	xin	PROPN
esrj-80281	20	27	yang1	yang1	PROPN
esrj-80281	20	28	,	,	PUNCT
esrj-80281	20	29	2	2	NUM
esrj-80281	20	30	,	,	PUNCT
esrj-80281	20	31	xiaoyu	xiaoyu	ADJ
esrj-80281	20	32	deng1	deng1	PROPN
esrj-80281	20	33	,	,	PUNCT
esrj-80281	21	1	he	he	PRON
esrj-80281	21	2	zhao1	zhao1	AUX
esrj-80281	21	3	,	,	PUNCT
esrj-80281	21	4	fang	fang	PROPN
esrj-80281	21	5	wang1	wang1	PROPN
esrj-80281	21	6	,	,	PUNCT
esrj-80281	21	7	lei	lei	PROPN
esrj-80281	21	8	wang1	wang1	PROPN
esrj-80281	22	1	1college	1college	NUM
esrj-80281	22	2	of	of	ADP
esrj-80281	22	3	earth	earth	NOUN
esrj-80281	22	4	science	science	NOUN
esrj-80281	22	5	,	,	PUNCT
esrj-80281	22	6	chengdu	chengdu	PROPN
esrj-80281	22	7	university	university	PROPN
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esrj-80281	22	9	technology	technology	PROPN
esrj-80281	22	10	,	,	PUNCT
esrj-80281	22	11	chengdu	chengdu	PROPN
esrj-80281	22	12	610059	610059	NUM
esrj-80281	22	13	,	,	PUNCT
esrj-80281	22	14	china	china	PROPN
esrj-80281	22	15	;	;	PUNCT
esrj-80281	22	16	2key	2key	NUM
esrj-80281	22	17	laboratory	laboratory	NOUN
esrj-80281	22	18	of	of	ADP
esrj-80281	22	19	geoscience	geoscience	PROPN
esrj-80281	22	20	spatial	spatial	ADJ
esrj-80281	22	21	information	information	NOUN
esrj-80281	22	22	technology	technology	NOUN
esrj-80281	22	23	of	of	ADP
esrj-80281	22	24	ministry	ministry	PROPN
esrj-80281	22	25	of	of	ADP
esrj-80281	22	26	land	land	NOUN
esrj-80281	22	27	and	and	CCONJ
esrj-80281	22	28	resources	resource	NOUN
esrj-80281	22	29	,	,	PUNCT
esrj-80281	22	30	chengdu	chengdu	PROPN
esrj-80281	22	31	university	university	PROPN
esrj-80281	22	32	of	of	ADP
esrj-80281	22	33	technology	technology	PROPN
esrj-80281	22	34	,	,	PUNCT
esrj-80281	22	35	chengdu	chengdu	PROPN
esrj-80281	22	36	610059	610059	NUM
esrj-80281	22	37	,	,	PUNCT
esrj-80281	22	38	china	china	PROPN
esrj-80281	22	39	;	;	PUNCT
esrj-80281	22	40	3school	3school	NUM
esrj-80281	22	41	of	of	ADP
esrj-80281	22	42	ecological	ecological	ADJ
esrj-80281	22	43	engineering	engineering	NOUN
esrj-80281	22	44	,	,	PUNCT
esrj-80281	22	45	guizhou	guizhou	PROPN
esrj-80281	22	46	university	university	PROPN
esrj-80281	22	47	of	of	ADP
esrj-80281	22	48	engineering	engineering	NOUN
esrj-80281	22	49	science	science	NOUN
esrj-80281	22	50	,	,	PUNCT
esrj-80281	22	51	bijie	bijie	NOUN
esrj-80281	22	52	551700	551700	NUM
esrj-80281	22	53	,	,	PUNCT
esrj-80281	22	54	china	china	PROPN
esrj-80281	22	55	*	*	PUNCT
esrj-80281	22	56	corresponding	correspond	VERB
esrj-80281	22	57	author	author	NOUN
esrj-80281	22	58	:	:	PUNCT
esrj-80281	22	59	ywn@cdut.edu.cn	ywn@cdut.edu.cn	PROPN
esrj-80281	22	60	g	g	PROPN
esrj-80281	22	61	eo	eo	PROPN
esrj-80281	22	62	ph	ph	PROPN
esrj-80281	22	63	ys	ys	INTJ
esrj-80281	23	1	ic	ic	PROPN
esrj-80281	23	2	s	s	PROPN
esrj-80281	23	3	164	164	NUM
esrj-80281	23	4	jintong	jintong	ADP
esrj-80281	23	5	ren	ren	PROPN
esrj-80281	23	6	,	,	PUNCT
esrj-80281	23	7	wunian	wunian	PROPN
esrj-80281	23	8	yang	yang	PROPN
esrj-80281	23	9	,	,	PUNCT
esrj-80281	23	10	xin	xin	PROPN
esrj-80281	23	11	yang	yang	PROPN
esrj-80281	23	12	,	,	PUNCT
esrj-80281	23	13	xiaoyu	xiaoyu	PROPN
esrj-80281	23	14	deng	deng	PROPN
esrj-80281	23	15	,	,	PUNCT
esrj-80281	23	16	he	he	PROPN
esrj-80281	23	17	zhao	zhao	PROPN
esrj-80281	23	18	,	,	PUNCT
esrj-80281	23	19	fang	fang	PROPN
esrj-80281	23	20	wang	wang	PROPN
esrj-80281	23	21	,	,	PUNCT
esrj-80281	23	22	lei	lei	PROPN
esrj-80281	23	23	wang	wang	PROPN
esrj-80281	23	24	introduction	introduction	NOUN
esrj-80281	23	25	.	.	PUNCT
esrj-80281	24	1	with	with	ADP
esrj-80281	24	2	the	the	DET
esrj-80281	24	3	technology	technology	NOUN
esrj-80281	24	4	of	of	ADP
esrj-80281	24	5	satellite	satellite	NOUN
esrj-80281	24	6	remote	remote	ADJ
esrj-80281	24	7	sensing	sense	VERB
esrj-80281	24	8	ground	ground	NOUN
esrj-80281	24	9	observation	observation	NOUN
esrj-80281	24	10	developing	develop	VERB
esrj-80281	24	11	in	in	ADP
esrj-80281	24	12	these	these	DET
esrj-80281	24	13	years	year	NOUN
esrj-80281	24	14	,	,	PUNCT
esrj-80281	24	15	high	high	ADJ
esrj-80281	24	16	temporal	temporal	ADJ
esrj-80281	24	17	resolution	resolution	NOUN
esrj-80281	24	18	,	,	PUNCT
esrj-80281	24	19	hyper	hyper	ADJ
esrj-80281	24	20	-	-	ADJ
esrj-80281	24	21	spectral	spectral	ADJ
esrj-80281	24	22	resolution	resolution	NOUN
esrj-80281	24	23	and	and	CCONJ
esrj-80281	24	24	multi	multi	ADJ
esrj-80281	24	25	-	-	ADJ
esrj-80281	24	26	platform	platform	ADJ
esrj-80281	24	27	remote	remote	ADJ
esrj-80281	24	28	sensing	sensing	NOUN
esrj-80281	24	29	images	image	NOUN
esrj-80281	24	30	data	datum	NOUN
esrj-80281	24	31	increase	increase	VERB
esrj-80281	24	32	rapidly	rapidly	ADV
esrj-80281	24	33	;	;	PUNCT
esrj-80281	24	34	remote	remote	ADJ
esrj-80281	24	35	sensing	sensing	NOUN
esrj-80281	24	36	images	image	NOUN
esrj-80281	24	37	in	in	ADP
esrj-80281	24	38	different	different	ADJ
esrj-80281	24	39	resources	resource	NOUN
esrj-80281	24	40	are	be	AUX
esrj-80281	24	41	different	different	ADJ
esrj-80281	24	42	in	in	ADP
esrj-80281	24	43	spectral	spectral	ADJ
esrj-80281	24	44	resolution	resolution	NOUN
esrj-80281	24	45	,	,	PUNCT
esrj-80281	24	46	radiance	radiance	NOUN
esrj-80281	24	47	resolution	resolution	NOUN
esrj-80281	24	48	and	and	CCONJ
esrj-80281	24	49	spectral	spectral	ADJ
esrj-80281	24	50	resolution	resolution	NOUN
esrj-80281	24	51	(	(	PUNCT
esrj-80281	24	52	fang	fang	PROPN
esrj-80281	24	53	,	,	PUNCT
esrj-80281	24	54	huo	huo	PROPN
esrj-80281	24	55	&	&	CCONJ
esrj-80281	24	56	ma	ma	PROPN
esrj-80281	24	57	,	,	PUNCT
esrj-80281	24	58	2016	2016	NUM
esrj-80281	24	59	;	;	PUNCT
esrj-80281	24	60	sun	sun	NOUN
esrj-80281	24	61	,	,	PUNCT
esrj-80281	24	62	fu	fu	PROPN
esrj-80281	24	63	&	&	CCONJ
esrj-80281	24	64	wang	wang	PROPN
esrj-80281	24	65	,	,	PUNCT
esrj-80281	24	66	2011	2011	NUM
esrj-80281	24	67	)	)	PUNCT
esrj-80281	24	68	;	;	PUNCT
esrj-80281	24	69	leading	lead	VERB
esrj-80281	24	70	different	different	ADJ
esrj-80281	24	71	remote	remote	ADJ
esrj-80281	24	72	sensing	sensing	NOUN
esrj-80281	24	73	images	image	NOUN
esrj-80281	24	74	have	have	VERB
esrj-80281	24	75	diversities	diversity	NOUN
esrj-80281	24	76	in	in	ADP
esrj-80281	24	77	images	image	NOUN
esrj-80281	24	78	fusion	fusion	NOUN
esrj-80281	24	79	algorithm	algorithm	NOUN
esrj-80281	24	80	(	(	PUNCT
esrj-80281	24	81	luo	luo	PROPN
esrj-80281	24	82	&	&	CCONJ
esrj-80281	24	83	du	du	PROPN
esrj-80281	24	84	,	,	PUNCT
esrj-80281	24	85	2017	2017	NUM
esrj-80281	24	86	;	;	PUNCT
esrj-80281	24	87	zhao	zhao	X
esrj-80281	24	88	,	,	PUNCT
esrj-80281	24	89	li	li	PROPN
esrj-80281	24	90	&	&	CCONJ
esrj-80281	24	91	lei	lei	PROPN
esrj-80281	24	92	,	,	PUNCT
esrj-80281	24	93	2016	2016	NUM
esrj-80281	24	94	;	;	PUNCT
esrj-80281	24	95	chen	chen	PROPN
esrj-80281	24	96	,	,	PUNCT
esrj-80281	24	97	zhang	zhang	PROPN
esrj-80281	24	98	,	,	PUNCT
esrj-80281	24	99	zang	zang	PROPN
esrj-80281	24	100	&	&	CCONJ
esrj-80281	24	101	dong	dong	PROPN
esrj-80281	24	102	,	,	PUNCT
esrj-80281	24	103	2016	2016	NUM
esrj-80281	24	104	;	;	PUNCT
esrj-80281	24	105	chen	chen	PROPN
esrj-80281	24	106	,	,	PUNCT
esrj-80281	24	107	2016	2016	NUM
esrj-80281	24	108	;	;	PUNCT
esrj-80281	24	109	xie	xie	PROPN
esrj-80281	24	110	,	,	PUNCT
esrj-80281	24	111	zhang	zhang	PROPN
esrj-80281	24	112	,	,	PUNCT
esrj-80281	24	113	sun	sun	PROPN
esrj-80281	24	114	&	&	CCONJ
esrj-80281	24	115	pan	pan	PROPN
esrj-80281	24	116	,	,	PUNCT
esrj-80281	24	117	2016	2016	NUM
esrj-80281	24	118	;	;	PUNCT
esrj-80281	24	119	du	du	X
esrj-80281	24	120	,	,	PUNCT
esrj-80281	24	121	2015	2015	NUM
esrj-80281	24	122	)	)	PUNCT
esrj-80281	24	123	.	.	PUNCT
esrj-80281	25	1	some	some	DET
esrj-80281	25	2	researchers	researcher	NOUN
esrj-80281	25	3	have	have	AUX
esrj-80281	25	4	studied	study	VERB
esrj-80281	25	5	and	and	CCONJ
esrj-80281	25	6	disposed	dispose	VERB
esrj-80281	25	7	the	the	DET
esrj-80281	25	8	gf-2	gf-2	ADV
esrj-80281	25	9	remote	remote	ADJ
esrj-80281	25	10	sensing	sensing	NOUN
esrj-80281	25	11	images	image	NOUN
esrj-80281	25	12	data	datum	NOUN
esrj-80281	25	13	fusion	fusion	NOUN
esrj-80281	25	14	.	.	PUNCT
esrj-80281	26	1	by	by	ADP
esrj-80281	26	2	using	use	VERB
esrj-80281	26	3	his	his	PRON
esrj-80281	26	4	transform	transform	NOUN
esrj-80281	26	5	,	,	PUNCT
esrj-80281	26	6	pca	pca	NOUN
esrj-80281	26	7	transform	transform	NOUN
esrj-80281	26	8	,	,	PUNCT
esrj-80281	26	9	wavelet	wavelet	NOUN
esrj-80281	26	10	transform	transform	NOUN
esrj-80281	26	11	,	,	PUNCT
esrj-80281	26	12	his+wavelet	his+wavelet	NOUN
esrj-80281	26	13	transform	transform	NOUN
esrj-80281	26	14	,	,	PUNCT
esrj-80281	26	15	his+pca	his+pca	ADJ
esrj-80281	26	16	transform	transform	NOUN
esrj-80281	26	17	,	,	PUNCT
esrj-80281	26	18	pca+wavelet	pca+wavelet	NOUN
esrj-80281	26	19	transform	transform	NOUN
esrj-80281	26	20	,	,	PUNCT
esrj-80281	26	21	his+pca+wavelet	his+pca+wavelet	NOUN
esrj-80281	26	22	transform	transform	NOUN
esrj-80281	26	23	,	,	PUNCT
esrj-80281	26	24	the	the	DET
esrj-80281	26	25	fusion	fusion	NOUN
esrj-80281	26	26	experiments	experiment	NOUN
esrj-80281	26	27	on	on	ADP
esrj-80281	26	28	gf-2	gf-2	X
esrj-80281	26	29	images	image	NOUN
esrj-80281	26	30	data	datum	NOUN
esrj-80281	26	31	by	by	ADP
esrj-80281	26	32	wang	wang	PROPN
esrj-80281	26	33	aiyun	aiyun	NOUN
esrj-80281	26	34	,	,	PUNCT
esrj-80281	26	35	and	and	CCONJ
esrj-80281	26	36	“	"	PUNCT
esrj-80281	26	37	his	his	PRON
esrj-80281	26	38	+	+	ADJ
esrj-80281	26	39	pca	pca	NOUN
esrj-80281	26	40	+	+	CCONJ
esrj-80281	26	41	wavelet	wavelet	NOUN
esrj-80281	26	42	transform	transform	NOUN
esrj-80281	26	43	”	"	PUNCT
esrj-80281	26	44	was	be	AUX
esrj-80281	26	45	finally	finally	ADV
esrj-80281	26	46	selected	select	VERB
esrj-80281	26	47	as	as	ADP
esrj-80281	26	48	the	the	DET
esrj-80281	26	49	best	good	ADJ
esrj-80281	26	50	fusion	fusion	NOUN
esrj-80281	26	51	method	method	NOUN
esrj-80281	26	52	of	of	ADP
esrj-80281	26	53	gf-2	gf-2	X
esrj-80281	26	54	images	image	NOUN
esrj-80281	26	55	data	datum	NOUN
esrj-80281	26	56	in	in	ADP
esrj-80281	26	57	mountainous	mountainous	ADJ
esrj-80281	26	58	area	area	NOUN
esrj-80281	26	59	(	(	PUNCT
esrj-80281	26	60	wang	wang	PROPN
esrj-80281	26	61	,	,	PUNCT
esrj-80281	26	62	2016	2016	NUM
esrj-80281	26	63	)	)	PUNCT
esrj-80281	26	64	.	.	PUNCT
esrj-80281	27	1	ren	ren	PROPN
esrj-80281	27	2	jintong	jintong	PROPN
esrj-80281	27	3	,	,	PUNCT
esrj-80281	27	4	yang	yang	PROPN
esrj-80281	27	5	wunian	wunian	PROPN
esrj-80281	27	6	and	and	CCONJ
esrj-80281	27	7	others	other	NOUN
esrj-80281	27	8	evaluated	evaluate	VERB
esrj-80281	27	9	the	the	DET
esrj-80281	27	10	different	different	ADJ
esrj-80281	27	11	fusion	fusion	NOUN
esrj-80281	27	12	effects	effect	NOUN
esrj-80281	27	13	of	of	ADP
esrj-80281	27	14	gf-2	gf-2	X
esrj-80281	27	15	images	image	NOUN
esrj-80281	27	16	by	by	ADP
esrj-80281	27	17	using	use	VERB
esrj-80281	27	18	commonly	commonly	ADV
esrj-80281	27	19	used	use	VERB
esrj-80281	27	20	image	image	NOUN
esrj-80281	27	21	fusion	fusion	NOUN
esrj-80281	27	22	methods	method	NOUN
esrj-80281	27	23	such	such	ADJ
esrj-80281	27	24	as	as	ADP
esrj-80281	27	25	hsv	hsv	PROPN
esrj-80281	27	26	transform	transform	NOUN
esrj-80281	27	27	,	,	PUNCT
esrj-80281	27	28	brovery	brovery	NOUN
esrj-80281	27	29	transform	transform	NOUN
esrj-80281	27	30	,	,	PUNCT
esrj-80281	27	31	pca	pca	NOUN
esrj-80281	27	32	transform	transform	NOUN
esrj-80281	27	33	,	,	PUNCT
esrj-80281	27	34	gram	gram	NOUN
esrj-80281	27	35	-	-	PUNCT
esrj-80281	27	36	schmidt	schmidt	NOUN
esrj-80281	27	37	pan	pan	NOUN
esrj-80281	27	38	sharpening	sharpen	VERB
esrj-80281	27	39	(	(	PUNCT
esrj-80281	27	40	gs	gs	NOUN
esrj-80281	27	41	)	)	PUNCT
esrj-80281	27	42	and	and	CCONJ
esrj-80281	27	43	color	color	NOUN
esrj-80281	27	44	normalized	normalize	VERB
esrj-80281	27	45	(	(	PUNCT
esrj-80281	27	46	cn	cn	PROPN
esrj-80281	27	47	)	)	PUNCT
esrj-80281	27	48	,	,	PUNCT
esrj-80281	27	49	the	the	DET
esrj-80281	27	50	results	result	NOUN
esrj-80281	27	51	showed	show	VERB
esrj-80281	27	52	that	that	SCONJ
esrj-80281	27	53	the	the	DET
esrj-80281	27	54	comprehensive	comprehensive	ADJ
esrj-80281	27	55	performance	performance	NOUN
esrj-80281	27	56	of	of	ADP
esrj-80281	27	57	gs	gs	NOUN
esrj-80281	27	58	fusion	fusion	NOUN
esrj-80281	27	59	was	be	AUX
esrj-80281	27	60	best	good	ADJ
esrj-80281	27	61	,	,	PUNCT
esrj-80281	27	62	and	and	CCONJ
esrj-80281	27	63	it	it	PRON
esrj-80281	27	64	could	could	AUX
esrj-80281	27	65	meet	meet	VERB
esrj-80281	27	66	the	the	DET
esrj-80281	27	67	needs	need	NOUN
esrj-80281	27	68	of	of	ADP
esrj-80281	27	69	the	the	DET
esrj-80281	27	70	general	general	ADJ
esrj-80281	27	71	image	image	NOUN
esrj-80281	27	72	fusion	fusion	NOUN
esrj-80281	27	73	processing	processing	NOUN
esrj-80281	27	74	(	(	PUNCT
esrj-80281	27	75	ren	ren	PROPN
esrj-80281	27	76	,	,	PUNCT
esrj-80281	27	77	2016	2016	NUM
esrj-80281	27	78	)	)	PUNCT
esrj-80281	27	79	.	.	PUNCT
esrj-80281	28	1	meng	meng	PROPN
esrj-80281	28	2	fanxiao	fanxiao	PROPN
esrj-80281	28	3	,	,	PUNCT
esrj-80281	28	4	chen	chen	PROPN
esrj-80281	28	5	shengbo	shengbo	PROPN
esrj-80281	28	6	and	and	CCONJ
esrj-80281	28	7	others	other	NOUN
esrj-80281	28	8	choose	choose	VERB
esrj-80281	28	9	eight	eight	NUM
esrj-80281	28	10	fusion	fusion	NOUN
esrj-80281	28	11	methods	method	NOUN
esrj-80281	28	12	such	such	ADJ
esrj-80281	28	13	as	as	ADP
esrj-80281	28	14	gram	gram	NOUN
esrj-80281	28	15	-	-	PUNCT
esrj-80281	28	16	schmidt	schmidt	NOUN
esrj-80281	28	17	,	,	PUNCT
esrj-80281	28	18	hcs	hcs	PROPN
esrj-80281	28	19	,	,	PUNCT
esrj-80281	28	20	hpf	hpf	PROPN
esrj-80281	28	21	,	,	PUNCT
esrj-80281	28	22	pansharp	pansharp	ADJ
esrj-80281	28	23	,	,	PUNCT
esrj-80281	28	24	high	high	ADJ
esrj-80281	28	25	pansharp	pansharp	ADJ
esrj-80281	28	26	,	,	PUNCT
esrj-80281	28	27	pca	pca	PROPN
esrj-80281	28	28	,	,	PUNCT
esrj-80281	28	29	multiplicative	multiplicative	ADJ
esrj-80281	28	30	and	and	CCONJ
esrj-80281	28	31	subtractive	subtractive	NOUN
esrj-80281	28	32	to	to	ADP
esrj-80281	28	33	fuse	fuse	NOUN
esrj-80281	28	34	gf-2	gf-2	X
esrj-80281	28	35	images	image	NOUN
esrj-80281	28	36	,	,	PUNCT
esrj-80281	28	37	the	the	DET
esrj-80281	28	38	results	result	NOUN
esrj-80281	28	39	showed	show	VERB
esrj-80281	28	40	that	that	SCONJ
esrj-80281	28	41	:	:	PUNCT
esrj-80281	28	42	(	(	PUNCT
esrj-80281	28	43	1	1	X
esrj-80281	28	44	)	)	PUNCT
esrj-80281	28	45	all	all	DET
esrj-80281	28	46	eight	eight	NUM
esrj-80281	28	47	methods	method	NOUN
esrj-80281	28	48	increased	increase	VERB
esrj-80281	28	49	the	the	DET
esrj-80281	28	50	spatial	spatial	ADJ
esrj-80281	28	51	information	information	NOUN
esrj-80281	28	52	,	,	PUNCT
esrj-80281	28	53	while	while	SCONJ
esrj-80281	28	54	maintaining	maintain	VERB
esrj-80281	28	55	the	the	DET
esrj-80281	28	56	original	original	ADJ
esrj-80281	28	57	spectral	spectral	ADJ
esrj-80281	28	58	information	information	NOUN
esrj-80281	28	59	.	.	PUNCT
esrj-80281	29	1	(	(	PUNCT
esrj-80281	29	2	2	2	X
esrj-80281	29	3	)	)	PUNCT
esrj-80281	29	4	among	among	ADP
esrj-80281	29	5	them	they	PRON
esrj-80281	29	6	,	,	PUNCT
esrj-80281	29	7	hpf	hpf	NOUN
esrj-80281	29	8	method	method	NOUN
esrj-80281	29	9	was	be	AUX
esrj-80281	29	10	the	the	DET
esrj-80281	29	11	best	good	ADJ
esrj-80281	29	12	fusion	fusion	NOUN
esrj-80281	29	13	method	method	NOUN
esrj-80281	29	14	,	,	PUNCT
esrj-80281	29	15	followed	follow	VERB
esrj-80281	29	16	by	by	ADP
esrj-80281	29	17	gram	gram	NOUN
esrj-80281	29	18	-	-	PUNCT
esrj-80281	29	19	schmidt	schmidt	NOUN
esrj-80281	29	20	method	method	NOUN
esrj-80281	29	21	,	,	PUNCT
esrj-80281	29	22	followed	follow	VERB
esrj-80281	29	23	by	by	ADP
esrj-80281	29	24	multiplicative	multiplicative	ADJ
esrj-80281	29	25	,	,	PUNCT
esrj-80281	29	26	pca	pca	PROPN
esrj-80281	29	27	,	,	PUNCT
esrj-80281	29	28	subtractive	subtractive	NOUN
esrj-80281	29	29	,	,	PUNCT
esrj-80281	29	30	hcs	hcs	NOUN
esrj-80281	29	31	and	and	CCONJ
esrj-80281	29	32	high	high	ADJ
esrj-80281	29	33	pansharp	pansharp	NOUN
esrj-80281	29	34	.	.	PUNCT
esrj-80281	30	1	the	the	DET
esrj-80281	30	2	pansharp	pansharp	ADJ
esrj-80281	30	3	method	method	NOUN
esrj-80281	30	4	was	be	AUX
esrj-80281	30	5	the	the	DET
esrj-80281	30	6	worst	bad	ADJ
esrj-80281	30	7	(	(	PUNCT
esrj-80281	30	8	meng	meng	PROPN
esrj-80281	30	9	,	,	PUNCT
esrj-80281	30	10	chen	chen	PROPN
esrj-80281	30	11	&	&	CCONJ
esrj-80281	30	12	zhang	zhang	PROPN
esrj-80281	30	13	,	,	PUNCT
esrj-80281	30	14	2016	2016	NUM
esrj-80281	30	15	)	)	PUNCT
esrj-80281	30	16	.	.	PUNCT
esrj-80281	31	1	however	however	ADV
esrj-80281	31	2	,	,	PUNCT
esrj-80281	31	3	these	these	DET
esrj-80281	31	4	research	research	NOUN
esrj-80281	31	5	can	can	AUX
esrj-80281	31	6	only	only	ADV
esrj-80281	31	7	evaluate	evaluate	VERB
esrj-80281	31	8	qualitatively	qualitatively	ADV
esrj-80281	31	9	or	or	CCONJ
esrj-80281	31	10	quantitatively	quantitatively	ADV
esrj-80281	31	11	the	the	DET
esrj-80281	31	12	quality	quality	NOUN
esrj-80281	31	13	of	of	ADP
esrj-80281	31	14	fusion	fusion	NOUN
esrj-80281	31	15	images	image	NOUN
esrj-80281	31	16	;	;	PUNCT
esrj-80281	31	17	the	the	DET
esrj-80281	31	18	adaptation	adaptation	NOUN
esrj-80281	31	19	of	of	ADP
esrj-80281	31	20	classification	classification	NOUN
esrj-80281	31	21	algorithm	algorithm	NOUN
esrj-80281	31	22	in	in	ADP
esrj-80281	31	23	fusion	fusion	NOUN
esrj-80281	31	24	images	image	NOUN
esrj-80281	31	25	is	be	AUX
esrj-80281	31	26	still	still	ADV
esrj-80281	31	27	needed	need	VERB
esrj-80281	31	28	to	to	PART
esrj-80281	31	29	be	be	AUX
esrj-80281	31	30	analyzed	analyze	VERB
esrj-80281	31	31	.	.	PUNCT
esrj-80281	32	1	in	in	ADP
esrj-80281	32	2	this	this	DET
esrj-80281	32	3	study	study	NOUN
esrj-80281	32	4	,	,	PUNCT
esrj-80281	32	5	the	the	DET
esrj-80281	32	6	common	common	ADJ
esrj-80281	32	7	image	image	NOUN
esrj-80281	32	8	fusion	fusion	NOUN
esrj-80281	32	9	algorithms	algorithm	NOUN
esrj-80281	32	10	were	be	AUX
esrj-80281	32	11	used	use	VERB
esrj-80281	32	12	to	to	PART
esrj-80281	32	13	fuse	fuse	VERB
esrj-80281	32	14	the	the	DET
esrj-80281	32	15	gf-2	gf-2	X
esrj-80281	32	16	images	image	NOUN
esrj-80281	32	17	data	datum	NOUN
esrj-80281	32	18	,	,	PUNCT
esrj-80281	32	19	such	such	ADJ
esrj-80281	32	20	as	as	ADP
esrj-80281	32	21	pca	pca	PROPN
esrj-80281	32	22	,	,	PUNCT
esrj-80281	32	23	pansharp	pansharp	ADJ
esrj-80281	32	24	,	,	PUNCT
esrj-80281	32	25	gram	gram	NOUN
esrj-80281	32	26	-	-	PUNCT
esrj-80281	32	27	schmidt	schmidt	NOUN
esrj-80281	32	28	and	and	CCONJ
esrj-80281	32	29	nndiffuse	nndiffuse	NOUN
esrj-80281	32	30	.	.	PUNCT
esrj-80281	33	1	after	after	ADP
esrj-80281	33	2	that	that	PRON
esrj-80281	33	3	,	,	PUNCT
esrj-80281	33	4	the	the	DET
esrj-80281	33	5	fusion	fusion	NOUN
esrj-80281	33	6	images	image	NOUN
esrj-80281	33	7	were	be	AUX
esrj-80281	33	8	evaluated	evaluate	VERB
esrj-80281	33	9	from	from	ADP
esrj-80281	33	10	subjective	subjective	ADJ
esrj-80281	33	11	qualitative	qualitative	ADJ
esrj-80281	33	12	evaluation	evaluation	NOUN
esrj-80281	33	13	and	and	CCONJ
esrj-80281	33	14	objective	objective	ADJ
esrj-80281	33	15	quantitative	quantitative	ADJ
esrj-80281	33	16	evaluation	evaluation	NOUN
esrj-80281	33	17	.	.	PUNCT
esrj-80281	34	1	moreover	moreover	ADV
esrj-80281	34	2	,	,	PUNCT
esrj-80281	34	3	different	different	ADJ
esrj-80281	34	4	machines	machine	NOUN
esrj-80281	34	5	are	be	AUX
esrj-80281	34	6	based	base	VERB
esrj-80281	34	7	on	on	ADP
esrj-80281	34	8	object	object	NOUN
esrj-80281	34	9	-	-	PUNCT
esrj-80281	34	10	oriented	orient	VERB
esrj-80281	34	11	learning	learning	NOUN
esrj-80281	34	12	classification	classification	NOUN
esrj-80281	34	13	algorithm	algorithm	NOUN
esrj-80281	34	14	for	for	ADP
esrj-80281	34	15	classifying	classify	VERB
esrj-80281	34	16	fusion	fusion	NOUN
esrj-80281	34	17	images	image	NOUN
esrj-80281	34	18	to	to	PART
esrj-80281	34	19	study	study	VERB
esrj-80281	34	20	different	different	ADJ
esrj-80281	34	21	fusion	fusion	NOUN
esrj-80281	34	22	dispose	dispose	NOUN
esrj-80281	34	23	methods	method	NOUN
esrj-80281	34	24	,	,	PUNCT
esrj-80281	34	25	and	and	CCONJ
esrj-80281	34	26	classification	classification	NOUN
esrj-80281	34	27	algorithm	algorithm	NOUN
esrj-80281	34	28	to	to	ADP
esrj-80281	34	29	the	the	DET
esrj-80281	34	30	precision	precision	NOUN
esrj-80281	34	31	influences	influence	NOUN
esrj-80281	34	32	and	and	CCONJ
esrj-80281	34	33	classification	classification	NOUN
esrj-80281	34	34	adaptation	adaptation	NOUN
esrj-80281	34	35	in	in	ADP
esrj-80281	34	36	urban	urban	ADJ
esrj-80281	34	37	areas	area	NOUN
esrj-80281	34	38	gf-2	gf-2	X
esrj-80281	34	39	satellite	satellite	PROPN
esrj-80281	34	40	remote	remote	ADJ
esrj-80281	34	41	sensing	sensing	NOUN
esrj-80281	34	42	images	image	NOUN
esrj-80281	34	43	.	.	PUNCT
esrj-80281	35	1	study	study	NOUN
esrj-80281	35	2	areas	area	NOUN
esrj-80281	35	3	condition	condition	NOUN
esrj-80281	35	4	and	and	CCONJ
esrj-80281	35	5	remote	remote	ADJ
esrj-80281	35	6	sensing	sense	VERB
esrj-80281	35	7	preprocess	preprocess	NOUN
esrj-80281	35	8	study	study	NOUN
esrj-80281	35	9	areas	area	NOUN
esrj-80281	35	10	condition	condition	PROPN
esrj-80281	35	11	longchang	longchang	PROPN
esrj-80281	35	12	city	city	PROPN
esrj-80281	35	13	is	be	AUX
esrj-80281	35	14	located	locate	VERB
esrj-80281	35	15	at	at	ADP
esrj-80281	35	16	the	the	DET
esrj-80281	35	17	south	south	NOUN
esrj-80281	35	18	of	of	ADP
esrj-80281	35	19	sichuan	sichuan	PROPN
esrj-80281	35	20	basin	basin	PROPN
esrj-80281	35	21	of	of	ADP
esrj-80281	35	22	china	china	PROPN
esrj-80281	35	23	,	,	PUNCT
esrj-80281	35	24	its	its	PRON
esrj-80281	35	25	location	location	NOUN
esrj-80281	35	26	is	be	AUX
esrj-80281	35	27	east	east	ADJ
esrj-80281	35	28	longitude	longitude	NOUN
esrj-80281	35	29	105	105	NUM
esrj-80281	35	30	°	°	NOUN
esrj-80281	35	31	02′-105	02′-105	NOUN
esrj-80281	35	32	°	°	ADP
esrj-80281	35	33	26′	26′	PROPN
esrj-80281	35	34	,	,	PUNCT
esrj-80281	35	35	northern	northern	ADJ
esrj-80281	35	36	latitude	latitude	NOUN
esrj-80281	35	37	29	29	NUM
esrj-80281	35	38	°	°	NUM
esrj-80281	35	39	11′-29	11′-29	NUM
esrj-80281	35	40	°	°	NOUN
esrj-80281	35	41	32′	32′	NUM
esrj-80281	35	42	,	,	PUNCT
esrj-80281	35	43	it	it	PRON
esrj-80281	35	44	is	be	AUX
esrj-80281	35	45	in	in	ADP
esrj-80281	35	46	subtropical	subtropical	ADJ
esrj-80281	35	47	humid	humid	NOUN
esrj-80281	35	48	monsoon	monsoon	NOUN
esrj-80281	35	49	climate	climate	NOUN
esrj-80281	35	50	,	,	PUNCT
esrj-80281	35	51	the	the	DET
esrj-80281	35	52	annual	annual	ADJ
esrj-80281	35	53	average	average	ADJ
esrj-80281	35	54	temperature	temperature	NOUN
esrj-80281	35	55	is	be	AUX
esrj-80281	35	56	17	17	NUM
esrj-80281	35	57	.	.	NOUN
esrj-80281	35	58	6	6	NUM
esrj-80281	35	59	°	°	ADP
esrj-80281	35	60	c	c	X
esrj-80281	35	61	(	(	PUNCT
esrj-80281	35	62	wang	wang	PROPN
esrj-80281	35	63	,	,	PUNCT
esrj-80281	35	64	2016	2016	NUM
esrj-80281	35	65	)	)	PUNCT
esrj-80281	35	66	.	.	PUNCT
esrj-80281	36	1	the	the	DET
esrj-80281	36	2	geomorphology	geomorphology	NOUN
esrj-80281	36	3	in	in	ADP
esrj-80281	36	4	longchang	longchang	PROPN
esrj-80281	36	5	is	be	AUX
esrj-80281	36	6	the	the	DET
esrj-80281	36	7	low	low	ADJ
esrj-80281	36	8	hilly	hilly	ADJ
esrj-80281	36	9	system	system	NOUN
esrj-80281	36	10	of	of	ADP
esrj-80281	36	11	huaying	huaye	VERB
esrj-80281	36	12	mountains	mountain	NOUN
esrj-80281	36	13	extending	extend	VERB
esrj-80281	36	14	to	to	ADP
esrj-80281	36	15	the	the	DET
esrj-80281	36	16	southwest	southwest	NOUN
esrj-80281	36	17	.	.	PUNCT
esrj-80281	37	1	the	the	DET
esrj-80281	37	2	terrain	terrain	NOUN
esrj-80281	37	3	is	be	AUX
esrj-80281	37	4	gentle	gentle	ADJ
esrj-80281	37	5	,	,	PUNCT
esrj-80281	37	6	which	which	PRON
esrj-80281	37	7	generally	generally	ADV
esrj-80281	37	8	presents	present	VERB
esrj-80281	37	9	high	high	ADJ
esrj-80281	37	10	north	north	NOUN
esrj-80281	37	11	to	to	ADP
esrj-80281	37	12	low	low	ADJ
esrj-80281	37	13	south	south	ADJ
esrj-80281	37	14	trend	trend	NOUN
esrj-80281	37	15	.	.	PUNCT
esrj-80281	38	1	the	the	DET
esrj-80281	38	2	average	average	ADJ
esrj-80281	38	3	elevation	elevation	NOUN
esrj-80281	38	4	are	be	AUX
esrj-80281	38	5	300400	300400	NUM
esrj-80281	38	6	m	m	NOUN
esrj-80281	38	7	and	and	CCONJ
esrj-80281	38	8	the	the	DET
esrj-80281	38	9	relative	relative	ADJ
esrj-80281	38	10	height	height	NOUN
esrj-80281	38	11	are	be	AUX
esrj-80281	38	12	20	20	NUM
esrj-80281	38	13	-	-	SYM
esrj-80281	38	14	50	50	NUM
esrj-80281	38	15	m.	m.	NOUN
esrj-80281	38	16	this	this	DET
esrj-80281	38	17	area	area	NOUN
esrj-80281	38	18	has	have	VERB
esrj-80281	38	19	four	four	NUM
esrj-80281	38	20	geomorphologies	geomorphology	NOUN
esrj-80281	38	21	:	:	PUNCT
esrj-80281	38	22	pingba	pingba	PROPN
esrj-80281	38	23	,	,	PUNCT
esrj-80281	38	24	high	high	ADJ
esrj-80281	38	25	hill	hill	NOUN
esrj-80281	38	26	,	,	PUNCT
esrj-80281	38	27	low	low	ADJ
esrj-80281	38	28	hill	hill	NOUN
esrj-80281	38	29	and	and	CCONJ
esrj-80281	38	30	low	low	ADJ
esrj-80281	38	31	mountain	mountain	NOUN
esrj-80281	38	32	(	(	PUNCT
esrj-80281	38	33	ren	ren	PROPN
esrj-80281	38	34	,	,	PUNCT
esrj-80281	38	35	2016	2016	NUM
esrj-80281	38	36	)	)	PUNCT
esrj-80281	38	37	.	.	PUNCT
esrj-80281	39	1	this	this	DET
esrj-80281	39	2	study	study	NOUN
esrj-80281	39	3	was	be	AUX
esrj-80281	39	4	based	base	VERB
esrj-80281	39	5	on	on	ADP
esrj-80281	39	6	gf-2	gf-2	X
esrj-80281	39	7	satellite	satellite	PROPN
esrj-80281	39	8	remote	remote	ADJ
esrj-80281	39	9	sensing	sense	VERB
esrj-80281	39	10	image	image	NOUN
esrj-80281	39	11	data(gf2	data(gf2	NOUN
esrj-80281	39	12	_	_	PROPN
esrj-80281	40	1	pms2_e105	pms2_e105	PROPN
esrj-80281	40	2	.	.	PUNCT
esrj-80281	40	3	2_n29	2_n29	PROPN
esrj-80281	40	4	.	.	PUNCT
esrj-80281	41	1	4_20160720_l1a0001709692)which	4_20160720_l1a0001709692)which	PROPN
esrj-80281	41	2	was	be	AUX
esrj-80281	41	3	provided	provide	VERB
esrj-80281	41	4	by	by	ADP
esrj-80281	41	5	sichuan	sichuan	PROPN
esrj-80281	41	6	high	high	ADJ
esrj-80281	41	7	resolution	resolution	NOUN
esrj-80281	41	8	ground	ground	NOUN
esrj-80281	41	9	observation	observation	NOUN
esrj-80281	41	10	system	system	NOUN
esrj-80281	41	11	data	datum	NOUN
esrj-80281	41	12	and	and	CCONJ
esrj-80281	41	13	application	application	NOUN
esrj-80281	41	14	center	center	NOUN
esrj-80281	41	15	to	to	PART
esrj-80281	41	16	launch	launch	VERB
esrj-80281	41	17	projects	project	NOUN
esrj-80281	41	18	.	.	PUNCT
esrj-80281	42	1	the	the	DET
esrj-80281	42	2	experimental	experimental	ADJ
esrj-80281	42	3	data	datum	NOUN
esrj-80281	42	4	includes	include	VERB
esrj-80281	42	5	1	1	NUM
esrj-80281	42	6	m	m	NOUN
esrj-80281	42	7	panchromatic	panchromatic	ADJ
esrj-80281	42	8	and	and	CCONJ
esrj-80281	42	9	4	4	NUM
esrj-80281	42	10	m	m	NOUN
esrj-80281	42	11	multi	multi	ADJ
esrj-80281	42	12	-	-	ADJ
esrj-80281	42	13	spectral	spectral	ADJ
esrj-80281	42	14	data	datum	NOUN
esrj-80281	42	15	.	.	PUNCT
esrj-80281	43	1	the	the	DET
esrj-80281	43	2	scale	scale	NOUN
esrj-80281	43	3	of	of	ADP
esrj-80281	43	4	panchromatic	panchromatic	ADJ
esrj-80281	43	5	band	band	NOUN
esrj-80281	43	6	spectrum	spectrum	NOUN
esrj-80281	43	7	:	:	PUNCT
esrj-80281	43	8	0	0	NUM
esrj-80281	43	9	.	.	X
esrj-80281	43	10	45	45	NUM
esrj-80281	43	11	-	-	SYM
esrj-80281	43	12	0	0	NUM
esrj-80281	43	13	.	.	NOUN
esrj-80281	43	14	90	90	NUM
esrj-80281	43	15	μm	μm	NOUN
esrj-80281	43	16	,	,	PUNCT
esrj-80281	43	17	and	and	CCONJ
esrj-80281	43	18	the	the	DET
esrj-80281	43	19	scale	scale	NOUN
esrj-80281	43	20	of	of	ADP
esrj-80281	43	21	multi	multi	ADJ
esrj-80281	43	22	-	-	ADJ
esrj-80281	43	23	band	band	ADJ
esrj-80281	43	24	spectrum	spectrum	NOUN
esrj-80281	43	25	:	:	PUNCT
esrj-80281	43	26	blue	blue	NOUN
esrj-80281	43	27	(	(	PUNCT
esrj-80281	43	28	0	0	NUM
esrj-80281	43	29	.	.	NOUN
esrj-80281	43	30	45	45	NUM
esrj-80281	43	31	-	-	SYM
esrj-80281	43	32	0	0	NUM
esrj-80281	43	33	.	.	PROPN
esrj-80281	43	34	52	52	NUM
esrj-80281	43	35	μm	μm	NOUN
esrj-80281	43	36	)	)	PUNCT
esrj-80281	43	37	,	,	PUNCT
esrj-80281	43	38	green	green	X
esrj-80281	43	39	(	(	PUNCT
esrj-80281	43	40	0	0	NUM
esrj-80281	43	41	.	.	NOUN
esrj-80281	43	42	52	52	NUM
esrj-80281	43	43	-	-	SYM
esrj-80281	43	44	0	0	NUM
esrj-80281	43	45	.	.	NUM
esrj-80281	43	46	59	59	NUM
esrj-80281	43	47	μm	μm	NOUN
esrj-80281	43	48	)	)	PUNCT
esrj-80281	43	49	,	,	PUNCT
esrj-80281	43	50	red	red	NOUN
esrj-80281	43	51	(	(	PUNCT
esrj-80281	43	52	0	0	NUM
esrj-80281	43	53	.	.	NOUN
esrj-80281	43	54	63	63	NUM
esrj-80281	43	55	-	-	SYM
esrj-80281	43	56	0	0	NUM
esrj-80281	43	57	.	.	NOUN
esrj-80281	43	58	69	69	NUM
esrj-80281	43	59	μm	μm	NOUN
esrj-80281	43	60	)	)	PUNCT
esrj-80281	43	61	and	and	CCONJ
esrj-80281	43	62	infrared	infrare	VERB
esrj-80281	43	63	(	(	PUNCT
esrj-80281	43	64	0	0	NUM
esrj-80281	43	65	.	.	X
esrj-80281	43	66	77	77	NUM
esrj-80281	43	67	-	-	SYM
esrj-80281	43	68	0	0	NUM
esrj-80281	43	69	.	.	NOUN
esrj-80281	43	70	89	89	NUM
esrj-80281	43	71	μm	μm	NUM
esrj-80281	43	72	)	)	PUNCT
esrj-80281	43	73	.	.	PUNCT
esrj-80281	44	1	longchang	longchang	PROPN
esrj-80281	44	2	city	city	NOUN
esrj-80281	44	3	images	image	NOUN
esrj-80281	44	4	needed	need	VERB
esrj-80281	44	5	to	to	PART
esrj-80281	44	6	be	be	AUX
esrj-80281	44	7	cropped	crop	VERB
esrj-80281	44	8	to	to	PART
esrj-80281	44	9	acquire	acquire	VERB
esrj-80281	44	10	study	study	NOUN
esrj-80281	44	11	areas	area	NOUN
esrj-80281	44	12	,	,	PUNCT
esrj-80281	44	13	for	for	ADP
esrj-80281	44	14	instance	instance	NOUN
esrj-80281	44	15	picture	picture	NOUN
esrj-80281	44	16	1	1	NUM
esrj-80281	44	17	:	:	PUNCT
esrj-80281	44	18	the	the	DET
esrj-80281	44	19	major	major	ADJ
esrj-80281	44	20	ground	ground	NOUN
esrj-80281	44	21	objects	object	VERB
esrj-80281	44	22	features	feature	NOUN
esrj-80281	44	23	in	in	ADP
esrj-80281	44	24	longchang	longchang	PROPN
esrj-80281	44	25	city	city	PROPN
esrj-80281	44	26	were	be	AUX
esrj-80281	44	27	vegetation	vegetation	NOUN
esrj-80281	44	28	,	,	PUNCT
esrj-80281	44	29	water	water	NOUN
esrj-80281	44	30	,	,	PUNCT
esrj-80281	44	31	road	road	NOUN
esrj-80281	44	32	,	,	PUNCT
esrj-80281	44	33	bare	bare	ADJ
esrj-80281	44	34	land	land	NOUN
esrj-80281	44	35	and	and	CCONJ
esrj-80281	44	36	building	building	NOUN
esrj-80281	44	37	sites	site	NOUN
esrj-80281	44	38	.	.	PUNCT
esrj-80281	45	1	gf-2	gf-2	X
esrj-80281	45	2	remote	remote	ADJ
esrj-80281	45	3	sensing	sensing	NOUN
esrj-80281	45	4	images	image	NOUN
esrj-80281	45	5	data	datum	NOUN
esrj-80281	45	6	preprocess	preprocess	NOUN
esrj-80281	45	7	in	in	ADP
esrj-80281	45	8	order	order	NOUN
esrj-80281	45	9	to	to	PART
esrj-80281	45	10	improve	improve	VERB
esrj-80281	45	11	the	the	DET
esrj-80281	45	12	visual	visual	ADJ
esrj-80281	45	13	effect	effect	NOUN
esrj-80281	45	14	and	and	CCONJ
esrj-80281	45	15	interpretability	interpretability	NOUN
esrj-80281	45	16	accuracy	accuracy	NOUN
esrj-80281	45	17	of	of	ADP
esrj-80281	45	18	the	the	DET
esrj-80281	45	19	images	image	NOUN
esrj-80281	45	20	,	,	PUNCT
esrj-80281	45	21	such	such	ADJ
esrj-80281	45	22	as	as	ADP
esrj-80281	45	23	image	image	NOUN
esrj-80281	45	24	enhancement	enhancement	NOUN
esrj-80281	45	25	,	,	PUNCT
esrj-80281	45	26	radiation	radiation	NOUN
esrj-80281	45	27	calibration	calibration	NOUN
esrj-80281	45	28	,	,	PUNCT
esrj-80281	45	29	orthorectification	orthorectification	NOUN
esrj-80281	45	30	,	,	PUNCT
esrj-80281	45	31	atmospheric	atmospheric	ADJ
esrj-80281	45	32	correction	correction	NOUN
esrj-80281	45	33	,	,	PUNCT
esrj-80281	45	34	image	image	NOUN
esrj-80281	45	35	registration	registration	NOUN
esrj-80281	45	36	,	,	PUNCT
esrj-80281	45	37	cropping	crop	VERB
esrj-80281	45	38	and	and	CCONJ
esrj-80281	45	39	resampling	resample	VERB
esrj-80281	45	40	preprocessing	preprocessing	NOUN
esrj-80281	45	41	works	work	NOUN
esrj-80281	45	42	had	have	AUX
esrj-80281	45	43	been	be	AUX
esrj-80281	45	44	applied	apply	VERB
esrj-80281	45	45	to	to	ADP
esrj-80281	45	46	pre	pre	ADJ
esrj-80281	45	47	-	-	ADJ
esrj-80281	45	48	processing	processing	NOUN
esrj-80281	45	49	of	of	ADP
esrj-80281	45	50	gf-2	gf-2	X
esrj-80281	45	51	satellite	satellite	PROPN
esrj-80281	45	52	image	image	NOUN
esrj-80281	45	53	data	datum	NOUN
esrj-80281	45	54	.	.	PUNCT
esrj-80281	46	1	(	(	PUNCT
esrj-80281	46	2	1	1	X
esrj-80281	46	3	)	)	PUNCT
esrj-80281	46	4	the	the	DET
esrj-80281	46	5	linear	linear	ADJ
esrj-80281	46	6	stretching	stretch	VERB
esrj-80281	46	7	treatment	treatment	NOUN
esrj-80281	46	8	(	(	PUNCT
esrj-80281	46	9	linear	linear	PROPN
esrj-80281	46	10	3	3	NUM
esrj-80281	46	11	%	%	NOUN
esrj-80281	46	12	)	)	PUNCT
esrj-80281	46	13	was	be	AUX
esrj-80281	46	14	used	use	VERB
esrj-80281	46	15	in	in	ADP
esrj-80281	46	16	the	the	DET
esrj-80281	46	17	envi5	envi5	PROPN
esrj-80281	46	18	.	.	PUNCT
esrj-80281	47	1	3	3	NUM
esrj-80281	47	2	software	software	NOUN
esrj-80281	47	3	because	because	SCONJ
esrj-80281	47	4	the	the	DET
esrj-80281	47	5	original	original	ADJ
esrj-80281	47	6	gf-2	gf-2	X
esrj-80281	47	7	satellite	satellite	NOUN
esrj-80281	47	8	remote	remote	ADJ
esrj-80281	47	9	sensing	sensing	NOUN
esrj-80281	47	10	images	image	NOUN
esrj-80281	47	11	data	datum	NOUN
esrj-80281	47	12	has	have	VERB
esrj-80281	47	13	low	low	ADJ
esrj-80281	47	14	brightness	brightness	NOUN
esrj-80281	47	15	value	value	NOUN
esrj-80281	47	16	and	and	CCONJ
esrj-80281	47	17	dim	dim	ADJ
esrj-80281	47	18	hue	hue	NOUN
esrj-80281	47	19	.	.	PUNCT
esrj-80281	48	1	(	(	PUNCT
esrj-80281	48	2	2	2	X
esrj-80281	48	3	)	)	PUNCT
esrj-80281	48	4	these	these	PRON
esrj-80281	48	5	images	image	VERB
esrj-80281	48	6	data	datum	NOUN
esrj-80281	48	7	which	which	PRON
esrj-80281	48	8	was	be	AUX
esrj-80281	48	9	disposed	dispose	VERB
esrj-80281	48	10	by	by	ADP
esrj-80281	48	11	othochromatic	othochromatic	ADJ
esrj-80281	48	12	correction	correction	NOUN
esrj-80281	48	13	was	be	AUX
esrj-80281	48	14	based	base	VERB
esrj-80281	48	15	on	on	ADP
esrj-80281	48	16	rpc	rpc	NOUN
esrj-80281	48	17	documents	document	NOUN
esrj-80281	48	18	(	(	PUNCT
esrj-80281	48	19	provided	provide	VERB
esrj-80281	48	20	by	by	ADP
esrj-80281	48	21	gf-2	gf-2	X
esrj-80281	48	22	satellite	satellite	PROPN
esrj-80281	48	23	remote	remote	ADJ
esrj-80281	48	24	sensing	sense	VERB
esrj-80281	48	25	data	datum	NOUN
esrj-80281	48	26	)	)	PUNCT
esrj-80281	48	27	and	and	CCONJ
esrj-80281	48	28	aster	aster	NOUN
esrj-80281	48	29	gdem	gdem	PROPN
esrj-80281	48	30	v2	v2	PROPN
esrj-80281	48	31	dem	dem	PROPN
esrj-80281	48	32	data	datum	NOUN
esrj-80281	48	33	(	(	PUNCT
esrj-80281	48	34	provided	provide	VERB
esrj-80281	48	35	by	by	ADP
esrj-80281	48	36	http://www	http://www	PROPN
esrj-80281	48	37	.	.	PUNCT
esrj-80281	49	1	gscloud	gscloud	ADJ
esrj-80281	49	2	.	.	PUNCT
esrj-80281	50	1	cn/	cn/	ADJ
esrj-80281	50	2	website	website	NOUN
esrj-80281	50	3	,	,	PUNCT
esrj-80281	50	4	30	30	NUM
esrj-80281	50	5	m	m	NOUN
esrj-80281	50	6	resolution	resolution	NOUN
esrj-80281	50	7	)	)	PUNCT
esrj-80281	50	8	.	.	PUNCT
esrj-80281	51	1	(	(	PUNCT
esrj-80281	51	2	3	3	X
esrj-80281	51	3	)	)	PUNCT
esrj-80281	51	4	in	in	ADP
esrj-80281	51	5	order	order	NOUN
esrj-80281	51	6	to	to	PART
esrj-80281	51	7	decrease	decrease	VERB
esrj-80281	51	8	influences	influence	NOUN
esrj-80281	51	9	of	of	ADP
esrj-80281	51	10	atmosphere	atmosphere	NOUN
esrj-80281	51	11	to	to	AUX
esrj-80281	51	12	images	image	NOUN
esrj-80281	51	13	data	datum	NOUN
esrj-80281	51	14	,	,	PUNCT
esrj-80281	51	15	the	the	DET
esrj-80281	51	16	gf-2	gf-2	X
esrj-80281	51	17	satellite	satellite	PROPN
esrj-80281	51	18	remote	remote	ADJ
esrj-80281	51	19	sensing	sense	VERB
esrj-80281	51	20	data	datum	NOUN
esrj-80281	51	21	were	be	AUX
esrj-80281	51	22	irradiated	irradiate	VERB
esrj-80281	51	23	and	and	CCONJ
esrj-80281	51	24	calibrated	calibrate	VERB
esrj-80281	51	25	by	by	ADP
esrj-80281	51	26	using	use	VERB
esrj-80281	51	27	the	the	DET
esrj-80281	51	28	“	"	PUNCT
esrj-80281	51	29	2016	2016	NUM
esrj-80281	51	30	national	national	ADJ
esrj-80281	51	31	terrestrial	terrestrial	NOUN
esrj-80281	51	32	observing	observe	VERB
esrj-80281	51	33	satellite	satellite	NOUN
esrj-80281	51	34	absolute	absolute	ADJ
esrj-80281	51	35	radiation	radiation	NOUN
esrj-80281	51	36	calibration	calibration	NOUN
esrj-80281	51	37	coefficient	coefficient	NOUN
esrj-80281	51	38	”	"	PUNCT
esrj-80281	51	39	which	which	PRON
esrj-80281	51	40	is	be	AUX
esrj-80281	51	41	provided	provide	VERB
esrj-80281	51	42	by	by	ADP
esrj-80281	51	43	china	china	PROPN
esrj-80281	51	44	resources	resources	PROPN
esrj-80281	51	45	satellite	satellite	NOUN
esrj-80281	51	46	application	application	NOUN
esrj-80281	51	47	center	center	NOUN
esrj-80281	51	48	,	,	PUNCT
esrj-80281	51	49	and	and	CCONJ
esrj-80281	51	50	then	then	ADV
esrj-80281	51	51	the	the	DET
esrj-80281	51	52	envi5	envi5	PROPN
esrj-80281	51	53	.	.	PUNCT
esrj-80281	52	1	3	3	NUM
esrj-80281	52	2	software	software	NOUN
esrj-80281	52	3	rapid	rapid	ADJ
esrj-80281	52	4	atmospheric	atmospheric	ADJ
esrj-80281	52	5	correction	correction	NOUN
esrj-80281	52	6	model	model	NOUN
esrj-80281	52	7	was	be	AUX
esrj-80281	52	8	used	use	VERB
esrj-80281	52	9	to	to	PART
esrj-80281	52	10	do	do	VERB
esrj-80281	52	11	atmospheric	atmospheric	ADJ
esrj-80281	52	12	correction	correction	NOUN
esrj-80281	52	13	.	.	PUNCT
esrj-80281	53	1	(	(	PUNCT
esrj-80281	53	2	4	4	X
esrj-80281	53	3	)	)	PUNCT
esrj-80281	53	4	the	the	DET
esrj-80281	53	5	image	image	NOUN
esrj-80281	53	6	registration	registration	NOUN
esrj-80281	53	7	workflow	workflow	NOUN
esrj-80281	53	8	correction	correction	NOUN
esrj-80281	53	9	tools	tool	NOUN
esrj-80281	53	10	were	be	AUX
esrj-80281	53	11	applied	apply	VERB
esrj-80281	53	12	to	to	PART
esrj-80281	53	13	dispose	dispose	VERB
esrj-80281	53	14	multi	multi	ADJ
esrj-80281	53	15	-	-	ADJ
esrj-80281	53	16	spectral	spectral	ADJ
esrj-80281	53	17	bands	band	NOUN
esrj-80281	53	18	which	which	PRON
esrj-80281	53	19	were	be	AUX
esrj-80281	53	20	based	base	VERB
esrj-80281	53	21	on	on	ADP
esrj-80281	53	22	gf-2	gf-2	X
esrj-80281	53	23	satellite	satellite	PROPN
esrj-80281	53	24	remote	remote	ADJ
esrj-80281	53	25	sensing	sensing	NOUN
esrj-80281	53	26	images	image	NOUN
esrj-80281	53	27	panchromatic	panchromatic	ADJ
esrj-80281	53	28	band	band	NOUN
esrj-80281	53	29	.	.	PUNCT
esrj-80281	54	1	(	(	PUNCT
esrj-80281	54	2	5	5	NUM
esrj-80281	54	3	)	)	PUNCT
esrj-80281	54	4	in	in	ADP
esrj-80281	54	5	order	order	NOUN
esrj-80281	54	6	to	to	PART
esrj-80281	54	7	study	study	VERB
esrj-80281	54	8	ground	ground	NOUN
esrj-80281	54	9	features	feature	NOUN
esrj-80281	54	10	in	in	ADP
esrj-80281	54	11	survey	survey	NOUN
esrj-80281	54	12	regions	region	NOUN
esrj-80281	54	13	,	,	PUNCT
esrj-80281	54	14	cropping	crop	VERB
esrj-80281	54	15	and	and	CCONJ
esrj-80281	54	16	resampling	resampling	NOUN
esrj-80281	54	17	were	be	AUX
esrj-80281	54	18	good	good	ADJ
esrj-80281	54	19	methods	method	NOUN
esrj-80281	54	20	to	to	PART
esrj-80281	54	21	acquire	acquire	VERB
esrj-80281	54	22	panchromatic	panchromatic	ADJ
esrj-80281	54	23	and	and	CCONJ
esrj-80281	54	24	multi	multi	ADJ
esrj-80281	54	25	-	-	ADJ
esrj-80281	54	26	spectral	spectral	ADJ
esrj-80281	54	27	images	image	NOUN
esrj-80281	54	28	data	datum	NOUN
esrj-80281	54	29	.	.	PUNCT
esrj-80281	55	1	methods	method	NOUN
esrj-80281	55	2	of	of	ADP
esrj-80281	55	3	fusion	fusion	NOUN
esrj-80281	55	4	remote	remote	ADJ
esrj-80281	55	5	sensing	sensing	NOUN
esrj-80281	55	6	images	image	NOUN
esrj-80281	55	7	and	and	CCONJ
esrj-80281	55	8	results	result	NOUN
esrj-80281	55	9	.	.	PUNCT
esrj-80281	56	1	methods	method	NOUN
esrj-80281	56	2	of	of	ADP
esrj-80281	56	3	fusion	fusion	NOUN
esrj-80281	56	4	remote	remote	ADJ
esrj-80281	56	5	sensing	sensing	NOUN
esrj-80281	56	6	images	image	NOUN
esrj-80281	56	7	(	(	PUNCT
esrj-80281	56	8	1	1	NUM
esrj-80281	56	9	)	)	PUNCT
esrj-80281	56	10	pca	pca	NOUN
esrj-80281	56	11	fusion	fusion	NOUN
esrj-80281	56	12	pca	pca	NOUN
esrj-80281	56	13	(	(	PUNCT
esrj-80281	56	14	principal	principal	ADJ
esrj-80281	56	15	component	component	NOUN
esrj-80281	56	16	analysis	analysis	NOUN
esrj-80281	56	17	)	)	PUNCT
esrj-80281	56	18	is	be	AUX
esrj-80281	56	19	based	base	VERB
esrj-80281	56	20	on	on	ADP
esrj-80281	56	21	no	no	DET
esrj-80281	56	22	unidimensional	unidimensional	ADJ
esrj-80281	56	23	multi	multi	ADJ
esrj-80281	56	24	-	-	ADJ
esrj-80281	56	25	linear	linear	ADJ
esrj-80281	56	26	orthogonal	orthogonal	ADJ
esrj-80281	56	27	transformation	transformation	NOUN
esrj-80281	56	28	(	(	PUNCT
esrj-80281	56	29	meng	meng	PROPN
esrj-80281	56	30	et	et	PROPN
esrj-80281	56	31	al	al	PROPN
esrj-80281	56	32	.	.	PROPN
esrj-80281	56	33	,	,	PUNCT
esrj-80281	56	34	2016	2016	NUM
esrj-80281	56	35	)	)	PUNCT
esrj-80281	56	36	,	,	PUNCT
esrj-80281	56	37	it	it	PRON
esrj-80281	56	38	does	do	VERB
esrj-80281	56	39	principal	principal	ADJ
esrj-80281	56	40	component	component	NOUN
esrj-80281	56	41	on	on	ADP
esrj-80281	56	42	multi	multi	ADJ
esrj-80281	56	43	-	-	ADJ
esrj-80281	56	44	spectral	spectral	ADJ
esrj-80281	56	45	data	datum	NOUN
esrj-80281	56	46	,	,	PUNCT
esrj-80281	56	47	then	then	ADV
esrj-80281	56	48	the	the	DET
esrj-80281	56	49	first	first	ADJ
esrj-80281	56	50	principal	principal	ADJ
esrj-80281	56	51	component	component	NOUN
esrj-80281	56	52	band	band	NOUN
esrj-80281	56	53	figure	figure	NOUN
esrj-80281	56	54	1	1	NUM
esrj-80281	56	55	.	.	PUNCT
esrj-80281	56	56	schematic	schematic	ADJ
esrj-80281	56	57	diagram	diagram	NOUN
esrj-80281	56	58	of	of	ADP
esrj-80281	56	59	experimentation	experimentation	NOUN
esrj-80281	56	60	area	area	NOUN
esrj-80281	56	61	165optimization	165optimization	PROPN
esrj-80281	56	62	of	of	ADP
esrj-80281	56	63	fusion	fusion	NOUN
esrj-80281	56	64	method	method	NOUN
esrj-80281	56	65	for	for	ADP
esrj-80281	56	66	gf-2	gf-2	X
esrj-80281	56	67	satellite	satellite	PROPN
esrj-80281	56	68	remote	remote	ADJ
esrj-80281	56	69	sensing	sensing	NOUN
esrj-80281	56	70	images	image	NOUN
esrj-80281	56	71	based	base	VERB
esrj-80281	56	72	on	on	ADP
esrj-80281	56	73	the	the	DET
esrj-80281	56	74	classification	classification	NOUN
esrj-80281	56	75	effect	effect	NOUN
esrj-80281	56	76	is	be	AUX
esrj-80281	56	77	replaced	replace	VERB
esrj-80281	56	78	by	by	ADP
esrj-80281	56	79	high	high	ADJ
esrj-80281	56	80	resolution	resolution	NOUN
esrj-80281	56	81	bands	band	NOUN
esrj-80281	56	82	and	and	CCONJ
esrj-80281	56	83	fusion	fusion	NOUN
esrj-80281	56	84	images	image	NOUN
esrj-80281	56	85	are	be	AUX
esrj-80281	56	86	acquired	acquire	VERB
esrj-80281	56	87	through	through	ADP
esrj-80281	56	88	principal	principal	ADJ
esrj-80281	56	89	component	component	NOUN
esrj-80281	56	90	(	(	PUNCT
esrj-80281	56	91	liu	liu	PROPN
esrj-80281	56	92	,	,	PUNCT
esrj-80281	56	93	2014	2014	NUM
esrj-80281	56	94	)	)	PUNCT
esrj-80281	56	95	.	.	PUNCT
esrj-80281	57	1	because	because	SCONJ
esrj-80281	57	2	the	the	DET
esrj-80281	57	3	pca	pca	NOUN
esrj-80281	57	4	fusion	fusion	NOUN
esrj-80281	57	5	models	model	NOUN
esrj-80281	57	6	are	be	AUX
esrj-80281	57	7	always	always	ADV
esrj-80281	57	8	used	use	VERB
esrj-80281	57	9	in	in	ADP
esrj-80281	57	10	different	different	ADJ
esrj-80281	57	11	types	type	NOUN
esrj-80281	57	12	of	of	ADP
esrj-80281	57	13	sensor	sensor	NOUN
esrj-80281	57	14	data	data	NOUN
esrj-80281	57	15	fusion	fusion	NOUN
esrj-80281	57	16	or	or	CCONJ
esrj-80281	57	17	the	the	DET
esrj-80281	57	18	same	same	ADJ
esrj-80281	57	19	sensor	sensor	NOUN
esrj-80281	57	20	which	which	PRON
esrj-80281	57	21	has	have	VERB
esrj-80281	57	22	multi	multi	ADJ
esrj-80281	57	23	-	-	ADJ
esrj-80281	57	24	phase	phase	ADJ
esrj-80281	57	25	data	datum	NOUN
esrj-80281	57	26	contrast	contrast	VERB
esrj-80281	57	27	analysis	analysis	NOUN
esrj-80281	57	28	.	.	PUNCT
esrj-80281	58	1	this	this	DET
esrj-80281	58	2	fusion	fusion	NOUN
esrj-80281	58	3	method	method	NOUN
esrj-80281	58	4	is	be	AUX
esrj-80281	58	5	able	able	ADJ
esrj-80281	58	6	to	to	PART
esrj-80281	58	7	be	be	AUX
esrj-80281	58	8	used	use	VERB
esrj-80281	58	9	in	in	ADP
esrj-80281	58	10	more	more	ADJ
esrj-80281	58	11	than	than	ADP
esrj-80281	58	12	3	3	NUM
esrj-80281	58	13	bands	band	NOUN
esrj-80281	58	14	images	image	NOUN
esrj-80281	58	15	fusion	fusion	NOUN
esrj-80281	58	16	and	and	CCONJ
esrj-80281	58	17	integrate	integrate	VERB
esrj-80281	58	18	high	high	ADJ
esrj-80281	58	19	resolution	resolution	NOUN
esrj-80281	58	20	images	image	NOUN
esrj-80281	58	21	spatial	spatial	ADJ
esrj-80281	58	22	information	information	NOUN
esrj-80281	58	23	.	.	PUNCT
esrj-80281	59	1	however	however	ADV
esrj-80281	59	2	,	,	PUNCT
esrj-80281	59	3	it	it	PRON
esrj-80281	59	4	has	have	VERB
esrj-80281	59	5	some	some	DET
esrj-80281	59	6	weaknesses	weakness	NOUN
esrj-80281	59	7	.	.	PUNCT
esrj-80281	60	1	comparing	compare	VERB
esrj-80281	60	2	with	with	ADP
esrj-80281	60	3	the	the	DET
esrj-80281	60	4	original	original	ADJ
esrj-80281	60	5	spectral	spectral	ADJ
esrj-80281	60	6	images	image	NOUN
esrj-80281	60	7	,	,	PUNCT
esrj-80281	60	8	this	this	DET
esrj-80281	60	9	method	method	NOUN
esrj-80281	60	10	may	may	AUX
esrj-80281	60	11	lose	lose	VERB
esrj-80281	60	12	spectral	spectral	ADJ
esrj-80281	60	13	information	information	NOUN
esrj-80281	60	14	like	like	ADP
esrj-80281	60	15	color	color	NOUN
esrj-80281	60	16	distortion	distortion	NOUN
esrj-80281	60	17	(	(	PUNCT
esrj-80281	60	18	yang	yang	PROPN
esrj-80281	60	19	&	&	CCONJ
esrj-80281	60	20	yang	yang	PROPN
esrj-80281	60	21	,	,	PUNCT
esrj-80281	60	22	2015	2015	NUM
esrj-80281	60	23	)	)	PUNCT
esrj-80281	60	24	.	.	PUNCT
esrj-80281	61	1	(	(	PUNCT
esrj-80281	61	2	2	2	X
esrj-80281	61	3	)	)	PUNCT
esrj-80281	61	4	pansharp	pansharp	ADJ
esrj-80281	61	5	fusion	fusion	NOUN
esrj-80281	61	6	this	this	DET
esrj-80281	61	7	method	method	NOUN
esrj-80281	61	8	uses	use	VERB
esrj-80281	61	9	least	least	ADJ
esrj-80281	61	10	squares	square	NOUN
esrj-80281	61	11	to	to	PART
esrj-80281	61	12	match	match	VERB
esrj-80281	61	13	fusion	fusion	NOUN
esrj-80281	61	14	bands	band	NOUN
esrj-80281	61	15	and	and	CCONJ
esrj-80281	61	16	combines	combine	VERB
esrj-80281	61	17	with	with	ADP
esrj-80281	61	18	statistics	statistic	NOUN
esrj-80281	61	19	to	to	PART
esrj-80281	61	20	decrease	decrease	VERB
esrj-80281	61	21	dependencies	dependency	NOUN
esrj-80281	61	22	in	in	ADP
esrj-80281	61	23	data	datum	NOUN
esrj-80281	61	24	sets	set	NOUN
esrj-80281	61	25	to	to	PART
esrj-80281	61	26	accomplishes	accomplish	VERB
esrj-80281	61	27	domestic	domestic	ADJ
esrj-80281	61	28	fusion	fusion	NOUN
esrj-80281	61	29	automation	automation	NOUN
esrj-80281	61	30	(	(	PUNCT
esrj-80281	61	31	yilihamu	yilihamu	PROPN
esrj-80281	61	32	,	,	PUNCT
esrj-80281	61	33	xie	xie	PROPN
esrj-80281	61	34	&	&	CCONJ
esrj-80281	61	35	kong	kong	PROPN
esrj-80281	61	36	,	,	PUNCT
esrj-80281	61	37	2014	2014	NUM
esrj-80281	61	38	)	)	PUNCT
esrj-80281	61	39	.	.	PUNCT
esrj-80281	62	1	the	the	DET
esrj-80281	62	2	features	feature	NOUN
esrj-80281	62	3	of	of	ADP
esrj-80281	62	4	this	this	DET
esrj-80281	62	5	method	method	NOUN
esrj-80281	62	6	are	be	AUX
esrj-80281	62	7	to	to	PART
esrj-80281	62	8	have	have	VERB
esrj-80281	62	9	high	high	ADJ
esrj-80281	62	10	spatial	spatial	ADJ
esrj-80281	62	11	resolution	resolution	NOUN
esrj-80281	62	12	,	,	PUNCT
esrj-80281	62	13	to	to	PART
esrj-80281	62	14	have	have	VERB
esrj-80281	62	15	good	good	ADJ
esrj-80281	62	16	spectral	spectral	ADJ
esrj-80281	62	17	fidelity	fidelity	NOUN
esrj-80281	62	18	and	and	CCONJ
esrj-80281	62	19	to	to	PART
esrj-80281	62	20	apply	apply	VERB
esrj-80281	62	21	into	into	ADP
esrj-80281	62	22	many	many	ADJ
esrj-80281	62	23	bands	band	NOUN
esrj-80281	62	24	which	which	PRON
esrj-80281	62	25	are	be	AUX
esrj-80281	62	26	not	not	PART
esrj-80281	62	27	limited	limit	VERB
esrj-80281	62	28	by	by	ADP
esrj-80281	62	29	numbers	number	NOUN
esrj-80281	62	30	.	.	PUNCT
esrj-80281	63	1	this	this	PRON
esrj-80281	63	2	is	be	AUX
esrj-80281	63	3	a	a	DET
esrj-80281	63	4	good	good	ADJ
esrj-80281	63	5	meth.od	meth.od	NOUN
esrj-80281	63	6	in	in	ADP
esrj-80281	63	7	high	high	ADJ
esrj-80281	63	8	resolution	resolution	NOUN
esrj-80281	63	9	remote	remote	ADJ
esrj-80281	63	10	sensing	sense	VERB
esrj-80281	63	11	fusion	fusion	NOUN
esrj-80281	63	12	due	due	ADP
esrj-80281	63	13	to	to	ADP
esrj-80281	63	14	the	the	DET
esrj-80281	63	15	high	high	ADJ
esrj-80281	63	16	fidelity	fidelity	NOUN
esrj-80281	63	17	of	of	ADP
esrj-80281	63	18	spectrum	spectrum	NOUN
esrj-80281	63	19	and	and	CCONJ
esrj-80281	63	20	its	its	PRON
esrj-80281	63	21	details	detail	NOUN
esrj-80281	63	22	(	(	PUNCT
esrj-80281	63	23	deng	deng	PROPN
esrj-80281	63	24	,	,	PUNCT
esrj-80281	63	25	chen	chen	PROPN
esrj-80281	63	26	&	&	CCONJ
esrj-80281	63	27	du	du	PROPN
esrj-80281	63	28	,	,	PUNCT
esrj-80281	63	29	2014	2014	NUM
esrj-80281	63	30	)	)	PUNCT
esrj-80281	63	31	.	.	PUNCT
esrj-80281	64	1	(	(	PUNCT
esrj-80281	64	2	3	3	X
esrj-80281	64	3	)	)	PUNCT
esrj-80281	64	4	gram	gram	NOUN
esrj-80281	64	5	-	-	PUNCT
esrj-80281	64	6	schmidt	schmidt	NOUN
esrj-80281	64	7	fusion	fusion	NOUN
esrj-80281	64	8	it	it	PRON
esrj-80281	64	9	is	be	AUX
esrj-80281	64	10	the	the	DET
esrj-80281	64	11	multidimensional	multidimensional	ADJ
esrj-80281	64	12	linear	linear	ADJ
esrj-80281	64	13	orthogonal	orthogonal	ADJ
esrj-80281	64	14	transformation	transformation	NOUN
esrj-80281	64	15	which	which	PRON
esrj-80281	64	16	transforms	transform	VERB
esrj-80281	64	17	multi	multi	ADJ
esrj-80281	64	18	-	-	ADJ
esrj-80281	64	19	spectrum	spectrum	ADJ
esrj-80281	64	20	or	or	CCONJ
esrj-80281	64	21	high	high	ADJ
esrj-80281	64	22	spectrum	spectrum	NOUN
esrj-80281	64	23	to	to	ADP
esrj-80281	64	24	orthogonal	orthogonal	ADJ
esrj-80281	64	25	spatial	spatial	ADJ
esrj-80281	64	26	(	(	PUNCT
esrj-80281	64	27	yu	yu	PROPN
esrj-80281	64	28	,	,	PUNCT
esrj-80281	64	29	2015	2015	NUM
esrj-80281	64	30	)	)	PUNCT
esrj-80281	64	31	.	.	PUNCT
esrj-80281	65	1	then	then	ADV
esrj-80281	65	2	replace	replace	VERB
esrj-80281	65	3	the	the	DET
esrj-80281	65	4	first	first	ADJ
esrj-80281	65	5	component	component	NOUN
esrj-80281	65	6	of	of	ADP
esrj-80281	65	7	the	the	DET
esrj-80281	65	8	vector	vector	NOUN
esrj-80281	65	9	by	by	ADP
esrj-80281	65	10	high	high	ADJ
esrj-80281	65	11	images	image	NOUN
esrj-80281	65	12	.	.	PUNCT
esrj-80281	66	1	at	at	ADP
esrj-80281	66	2	last	last	ADJ
esrj-80281	66	3	,	,	PUNCT
esrj-80281	66	4	results	result	NOUN
esrj-80281	66	5	are	be	AUX
esrj-80281	66	6	shown	show	VERB
esrj-80281	66	7	by	by	ADP
esrj-80281	66	8	using	use	VERB
esrj-80281	66	9	inverse	inverse	NOUN
esrj-80281	66	10	transformation	transformation	NOUN
esrj-80281	66	11	(	(	PUNCT
esrj-80281	66	12	yilihamu	yilihamu	ADV
esrj-80281	66	13	et	et	PROPN
esrj-80281	66	14	al	al	PROPN
esrj-80281	66	15	.	.	PROPN
esrj-80281	66	16	,	,	PUNCT
esrj-80281	66	17	2014	2014	NUM
esrj-80281	66	18	)	)	PUNCT
esrj-80281	66	19	.	.	PUNCT
esrj-80281	67	1	this	this	DET
esrj-80281	67	2	method	method	NOUN
esrj-80281	67	3	is	be	AUX
esrj-80281	67	4	not	not	PART
esrj-80281	67	5	limited	limit	VERB
esrj-80281	67	6	by	by	ADP
esrj-80281	67	7	the	the	DET
esrj-80281	67	8	number	number	NOUN
esrj-80281	67	9	of	of	ADP
esrj-80281	67	10	bands	band	NOUN
esrj-80281	67	11	,	,	PUNCT
esrj-80281	67	12	which	which	PRON
esrj-80281	67	13	can	can	AUX
esrj-80281	67	14	avoid	avoid	VERB
esrj-80281	67	15	to	to	ADP
esrj-80281	67	16	gathering	gather	VERB
esrj-80281	67	17	information	information	NOUN
esrj-80281	67	18	in	in	ADP
esrj-80281	67	19	one	one	NUM
esrj-80281	67	20	or	or	CCONJ
esrj-80281	67	21	more	more	ADJ
esrj-80281	67	22	bands	band	NOUN
esrj-80281	67	23	.	.	PUNCT
esrj-80281	68	1	it	it	PRON
esrj-80281	68	2	has	have	VERB
esrj-80281	68	3	high	high	ADJ
esrj-80281	68	4	spectral	spectral	ADJ
esrj-80281	68	5	fidelity	fidelity	NOUN
esrj-80281	68	6	.	.	PUNCT
esrj-80281	69	1	(	(	PUNCT
esrj-80281	69	2	4	4	X
esrj-80281	69	3	)	)	PUNCT
esrj-80281	69	4	nndiffuse	nndiffuse	NOUN
esrj-80281	69	5	fusion	fusion	NOUN
esrj-80281	69	6	the	the	DET
esrj-80281	69	7	nndiffuse	nndiffuse	NOUN
esrj-80281	69	8	(	(	PUNCT
esrj-80281	69	9	nearest	near	ADJ
esrj-80281	69	10	-	-	PUNCT
esrj-80281	69	11	neighbor	neighbor	NOUN
esrj-80281	69	12	diffuse	diffuse	NOUN
esrj-80281	69	13	)	)	PUNCT
esrj-80281	69	14	method	method	NOUN
esrj-80281	69	15	is	be	AUX
esrj-80281	69	16	provided	provide	VERB
esrj-80281	69	17	by	by	ADP
esrj-80281	69	18	rochester	rochester	PROPN
esrj-80281	69	19	institute	institute	PROPN
esrj-80281	69	20	of	of	ADP
esrj-80281	69	21	technology	technology	PROPN
esrj-80281	69	22	(	(	PUNCT
esrj-80281	69	23	liu	liu	PROPN
esrj-80281	69	24	,	,	PUNCT
esrj-80281	69	25	fu	fu	PROPN
esrj-80281	69	26	&	&	CCONJ
esrj-80281	69	27	li	li	PROPN
esrj-80281	69	28	,	,	PUNCT
esrj-80281	69	29	2015	2015	NUM
esrj-80281	69	30	)	)	PUNCT
esrj-80281	69	31	,	,	PUNCT
esrj-80281	69	32	which	which	PRON
esrj-80281	69	33	adopts	adopt	VERB
esrj-80281	69	34	openmp	openmp	ADJ
esrj-80281	69	35	and	and	CCONJ
esrj-80281	69	36	cuda	cuda	NOUN
esrj-80281	69	37	technologies	technology	NOUN
esrj-80281	69	38	to	to	PART
esrj-80281	69	39	increase	increase	VERB
esrj-80281	69	40	performance	performance	NOUN
esrj-80281	69	41	.	.	PUNCT
esrj-80281	70	1	it	it	PRON
esrj-80281	70	2	has	have	VERB
esrj-80281	70	3	highlights	highlight	NOUN
esrj-80281	70	4	in	in	ADP
esrj-80281	70	5	the	the	DET
esrj-80281	70	6	quality	quality	NOUN
esrj-80281	70	7	of	of	ADP
esrj-80281	70	8	fusion	fusion	NOUN
esrj-80281	70	9	images	image	NOUN
esrj-80281	70	10	and	and	CCONJ
esrj-80281	70	11	processing	processing	NOUN
esrj-80281	70	12	speed	speed	NOUN
esrj-80281	70	13	.	.	PUNCT
esrj-80281	71	1	nndiffuse	nndiffuse	NOUN
esrj-80281	71	2	method	method	NOUN
esrj-80281	71	3	can	can	AUX
esrj-80281	71	4	reserve	reserve	VERB
esrj-80281	71	5	great	great	ADJ
esrj-80281	71	6	color	color	NOUN
esrj-80281	71	7	and	and	CCONJ
esrj-80281	71	8	texture	texture	NOUN
esrj-80281	71	9	and	and	CCONJ
esrj-80281	71	10	the	the	DET
esrj-80281	71	11	original	original	ADJ
esrj-80281	71	12	images	image	NOUN
esrj-80281	71	13	have	have	VERB
esrj-80281	71	14	little	little	ADJ
esrj-80281	71	15	change	change	NOUN
esrj-80281	71	16	(	(	PUNCT
esrj-80281	71	17	wang	wang	PROPN
esrj-80281	71	18	,	,	PUNCT
esrj-80281	71	19	li	li	PROPN
esrj-80281	71	20	,	,	PUNCT
esrj-80281	71	21	zhang	zhang	PROPN
esrj-80281	71	22	&	&	CCONJ
esrj-80281	71	23	dou	dou	PROPN
esrj-80281	71	24	,	,	PUNCT
esrj-80281	71	25	2015	2015	NUM
esrj-80281	71	26	)	)	PUNCT
esrj-80281	71	27	.	.	PUNCT
esrj-80281	72	1	when	when	SCONJ
esrj-80281	72	2	the	the	DET
esrj-80281	72	3	spectral	spectral	ADJ
esrj-80281	72	4	response	response	NOUN
esrj-80281	72	5	function	function	NOUN
esrj-80281	72	6	of	of	ADP
esrj-80281	72	7	multi	multi	ADJ
esrj-80281	72	8	-	-	ADJ
esrj-80281	72	9	spectral	spectral	ADJ
esrj-80281	72	10	bands	band	NOUN
esrj-80281	72	11	have	have	VERB
esrj-80281	72	12	the	the	DET
esrj-80281	72	13	minimum	minimum	ADJ
esrj-80281	72	14	overlap	overlap	NOUN
esrj-80281	72	15	and	and	CCONJ
esrj-80281	72	16	all	all	DET
esrj-80281	72	17	the	the	DET
esrj-80281	72	18	spectral	spectral	ADJ
esrj-80281	72	19	bands	band	NOUN
esrj-80281	72	20	cover	cover	VERB
esrj-80281	72	21	the	the	DET
esrj-80281	72	22	scale	scale	NOUN
esrj-80281	72	23	of	of	ADP
esrj-80281	72	24	spectrum	spectrum	NOUN
esrj-80281	72	25	of	of	ADP
esrj-80281	72	26	panchromatic	panchromatic	ADJ
esrj-80281	72	27	color	color	NOUN
esrj-80281	72	28	bands	band	NOUN
esrj-80281	72	29	,	,	PUNCT
esrj-80281	72	30	this	this	DET
esrj-80281	72	31	method	method	NOUN
esrj-80281	72	32	works	work	VERB
esrj-80281	72	33	best	well	ADV
esrj-80281	72	34	.	.	PUNCT
esrj-80281	73	1	evaluating	evaluate	VERB
esrj-80281	73	2	the	the	DET
esrj-80281	73	3	effect	effect	NOUN
esrj-80281	73	4	of	of	ADP
esrj-80281	73	5	remote	remote	ADJ
esrj-80281	73	6	sensing	sensing	NOUN
esrj-80281	73	7	images	image	NOUN
esrj-80281	73	8	fusion	fusion	NOUN
esrj-80281	73	9	subjective	subjective	ADJ
esrj-80281	73	10	qualitative	qualitative	ADJ
esrj-80281	73	11	evaluation	evaluation	NOUN
esrj-80281	73	12	this	this	DET
esrj-80281	73	13	evaluation	evaluation	NOUN
esrj-80281	73	14	focuses	focus	VERB
esrj-80281	73	15	on	on	ADP
esrj-80281	73	16	comparing	compare	VERB
esrj-80281	73	17	images	image	NOUN
esrj-80281	73	18	’	'	PUNCT
esrj-80281	73	19	spectrum	spectrum	NOUN
esrj-80281	73	20	,	,	PUNCT
esrj-80281	73	21	edge	edge	NOUN
esrj-80281	73	22	and	and	CCONJ
esrj-80281	73	23	textures	texture	NOUN
esrj-80281	73	24	before	before	ADP
esrj-80281	73	25	and	and	CCONJ
esrj-80281	73	26	after	after	ADP
esrj-80281	73	27	fusion(zhang	fusion(zhang	PROPN
esrj-80281	73	28	,	,	PUNCT
esrj-80281	73	29	liu	liu	PROPN
esrj-80281	73	30	,	,	PUNCT
esrj-80281	73	31	yang	yang	PROPN
esrj-80281	73	32	&	&	CCONJ
esrj-80281	73	33	luo	luo	PROPN
esrj-80281	73	34	,	,	PUNCT
esrj-80281	73	35	2015	2015	NUM
esrj-80281	73	36	)	)	PUNCT
esrj-80281	73	37	.	.	PUNCT
esrj-80281	74	1	as	as	SCONJ
esrj-80281	74	2	can	can	AUX
esrj-80281	74	3	be	be	AUX
esrj-80281	74	4	seen	see	VERB
esrj-80281	74	5	from	from	ADP
esrj-80281	74	6	the	the	DET
esrj-80281	74	7	figures	figure	NOUN
esrj-80281	74	8	2	2	NUM
esrj-80281	74	9	and	and	CCONJ
esrj-80281	74	10	4	4	NUM
esrj-80281	74	11	,	,	PUNCT
esrj-80281	74	12	different	different	ADJ
esrj-80281	74	13	images	image	NOUN
esrj-80281	74	14	are	be	AUX
esrj-80281	74	15	fused	fuse	VERB
esrj-80281	74	16	in	in	ADP
esrj-80281	74	17	envi	envi	ADJ
esrj-80281	74	18	software	software	NOUN
esrj-80281	74	19	to	to	PART
esrj-80281	74	20	do	do	VERB
esrj-80281	74	21	the	the	DET
esrj-80281	74	22	rgb	rgb	PROPN
esrj-80281	74	23	false	false	ADJ
esrj-80281	74	24	color	color	NOUN
esrj-80281	74	25	fusion	fusion	NOUN
esrj-80281	74	26	.	.	PUNCT
esrj-80281	75	1	some	some	DET
esrj-80281	75	2	typical	typical	ADJ
esrj-80281	75	3	areas	area	NOUN
esrj-80281	75	4	which	which	PRON
esrj-80281	75	5	show	show	VERB
esrj-80281	75	6	in	in	ADP
esrj-80281	75	7	linear	linear	PROPN
esrj-80281	75	8	2	2	NUM
esrj-80281	75	9	%	%	NOUN
esrj-80281	75	10	stretching	stretch	VERB
esrj-80281	75	11	to	to	PART
esrj-80281	75	12	present	present	ADJ
esrj-80281	75	13	details	detail	NOUN
esrj-80281	75	14	are	be	AUX
esrj-80281	75	15	selected	select	VERB
esrj-80281	75	16	.	.	PUNCT
esrj-80281	76	1	doing	do	VERB
esrj-80281	76	2	subjective	subjective	ADJ
esrj-80281	76	3	qualitative	qualitative	ADJ
esrj-80281	76	4	evaluation	evaluation	NOUN
esrj-80281	76	5	in	in	ADP
esrj-80281	76	6	gf-2	gf-2	NUM
esrj-80281	76	7	which	which	PRON
esrj-80281	76	8	adopts	adopt	VERB
esrj-80281	76	9	four	four	NUM
esrj-80281	76	10	different	different	ADJ
esrj-80281	76	11	fusion	fusion	NOUN
esrj-80281	76	12	images	image	NOUN
esrj-80281	76	13	,	,	PUNCT
esrj-80281	76	14	it	it	PRON
esrj-80281	76	15	can	can	AUX
esrj-80281	76	16	be	be	AUX
esrj-80281	76	17	found	find	VERB
esrj-80281	76	18	that	that	SCONJ
esrj-80281	76	19	(	(	PUNCT
esrj-80281	76	20	1	1	X
esrj-80281	76	21	)	)	PUNCT
esrj-80281	76	22	comparing	compare	VERB
esrj-80281	76	23	original	original	ADJ
esrj-80281	76	24	multi	multi	ADJ
esrj-80281	76	25	-	-	ADJ
esrj-80281	76	26	spectral	spectral	ADJ
esrj-80281	76	27	images	image	NOUN
esrj-80281	76	28	data	datum	NOUN
esrj-80281	76	29	with	with	ADP
esrj-80281	76	30	fusion	fusion	NOUN
esrj-80281	76	31	images	image	NOUN
esrj-80281	76	32	data	datum	NOUN
esrj-80281	76	33	,	,	PUNCT
esrj-80281	76	34	the	the	DET
esrj-80281	76	35	original	original	ADJ
esrj-80281	76	36	images	image	NOUN
esrj-80281	76	37	have	have	VERB
esrj-80281	76	38	low	low	ADJ
esrj-80281	76	39	brightness	brightness	NOUN
esrj-80281	76	40	value	value	NOUN
esrj-80281	76	41	,	,	PUNCT
esrj-80281	76	42	blurred	blurred	ADJ
esrj-80281	76	43	edge	edge	NOUN
esrj-80281	76	44	of	of	ADP
esrj-80281	76	45	streets	street	NOUN
esrj-80281	76	46	and	and	CCONJ
esrj-80281	76	47	not	not	PART
esrj-80281	76	48	obvious	obvious	ADJ
esrj-80281	76	49	textures	texture	NOUN
esrj-80281	76	50	;	;	PUNCT
esrj-80281	76	51	the	the	DET
esrj-80281	76	52	panchromatic	panchromatic	ADJ
esrj-80281	76	53	bands	band	NOUN
esrj-80281	76	54	have	have	VERB
esrj-80281	76	55	high	high	ADJ
esrj-80281	76	56	resolution	resolution	NOUN
esrj-80281	76	57	,	,	PUNCT
esrj-80281	76	58	high	high	ADJ
esrj-80281	76	59	brightness	brightness	NOUN
esrj-80281	76	60	value	value	NOUN
esrj-80281	76	61	and	and	CCONJ
esrj-80281	76	62	clear	clear	ADJ
esrj-80281	76	63	edge	edge	NOUN
esrj-80281	76	64	of	of	ADP
esrj-80281	76	65	the	the	DET
esrj-80281	76	66	ground	ground	NOUN
esrj-80281	76	67	,	,	PUNCT
esrj-80281	76	68	but	but	CCONJ
esrj-80281	76	69	the	the	DET
esrj-80281	76	70	color	color	NOUN
esrj-80281	76	71	performance	performance	NOUN
esrj-80281	76	72	is	be	AUX
esrj-80281	76	73	worse	bad	ADJ
esrj-80281	76	74	than	than	ADP
esrj-80281	76	75	the	the	DET
esrj-80281	76	76	fused	fuse	VERB
esrj-80281	76	77	images	image	NOUN
esrj-80281	76	78	.	.	PUNCT
esrj-80281	77	1	(	(	PUNCT
esrj-80281	77	2	2	2	X
esrj-80281	77	3	)	)	PUNCT
esrj-80281	77	4	the	the	DET
esrj-80281	77	5	results	result	NOUN
esrj-80281	77	6	of	of	ADP
esrj-80281	77	7	gram	gram	NOUN
esrj-80281	77	8	-	-	PUNCT
esrj-80281	77	9	schmidt	schmidt	NOUN
esrj-80281	77	10	fusion	fusion	NOUN
esrj-80281	77	11	are	be	AUX
esrj-80281	77	12	the	the	DET
esrj-80281	77	13	worst	bad	ADJ
esrj-80281	77	14	:	:	PUNCT
esrj-80281	77	15	vague	vague	ADJ
esrj-80281	77	16	images	image	NOUN
esrj-80281	77	17	and	and	CCONJ
esrj-80281	77	18	large	large	ADJ
esrj-80281	77	19	color	color	NOUN
esrj-80281	77	20	distortion	distortion	NOUN
esrj-80281	77	21	in	in	ADP
esrj-80281	77	22	false	false	ADJ
esrj-80281	77	23	color	color	NOUN
esrj-80281	77	24	synthesis	synthesis	NOUN
esrj-80281	77	25	of	of	ADP
esrj-80281	77	26	the	the	DET
esrj-80281	77	27	ground	ground	NOUN
esrj-80281	77	28	.	.	PUNCT
esrj-80281	78	1	the	the	DET
esrj-80281	78	2	pansharp	pansharp	ADJ
esrj-80281	78	3	fusion	fusion	NOUN
esrj-80281	78	4	method	method	NOUN
esrj-80281	78	5	is	be	AUX
esrj-80281	78	6	good	good	ADJ
esrj-80281	78	7	:	:	PUNCT
esrj-80281	78	8	clear	clear	ADJ
esrj-80281	78	9	ground	ground	NOUN
esrj-80281	78	10	and	and	CCONJ
esrj-80281	78	11	textures	texture	NOUN
esrj-80281	78	12	,	,	PUNCT
esrj-80281	78	13	comfortable	comfortable	ADJ
esrj-80281	78	14	brightness	brightness	NOUN
esrj-80281	78	15	.	.	PUNCT
esrj-80281	79	1	(	(	PUNCT
esrj-80281	79	2	3	3	X
esrj-80281	79	3	)	)	PUNCT
esrj-80281	79	4	comparing	compare	VERB
esrj-80281	79	5	the	the	DET
esrj-80281	79	6	nndiffuse	nndiffuse	NOUN
esrj-80281	79	7	fusion	fusion	NOUN
esrj-80281	79	8	with	with	ADP
esrj-80281	79	9	the	the	DET
esrj-80281	79	10	pca	pca	NOUN
esrj-80281	79	11	fusion	fusion	NOUN
esrj-80281	79	12	,	,	PUNCT
esrj-80281	79	13	the	the	DET
esrj-80281	79	14	nndiffuse	nndiffuse	NOUN
esrj-80281	79	15	fusion	fusion	NOUN
esrj-80281	79	16	looks	look	VERB
esrj-80281	79	17	darker	dark	ADJ
esrj-80281	79	18	than	than	ADP
esrj-80281	79	19	the	the	DET
esrj-80281	79	20	pca	pca	NOUN
esrj-80281	79	21	fusion	fusion	NOUN
esrj-80281	79	22	,	,	PUNCT
esrj-80281	79	23	but	but	CCONJ
esrj-80281	79	24	the	the	DET
esrj-80281	79	25	ground	ground	NOUN
esrj-80281	79	26	details	detail	NOUN
esrj-80281	79	27	and	and	CCONJ
esrj-80281	79	28	textures	texture	NOUN
esrj-80281	79	29	clarity	clarity	NOUN
esrj-80281	79	30	are	be	AUX
esrj-80281	79	31	clearer	clear	ADJ
esrj-80281	79	32	than	than	ADP
esrj-80281	79	33	pca	pca	NOUN
esrj-80281	79	34	fusion	fusion	NOUN
esrj-80281	79	35	.	.	PUNCT
esrj-80281	80	1	objective	objective	ADJ
esrj-80281	80	2	qualitative	qualitative	ADJ
esrj-80281	80	3	evaluation	evaluation	NOUN
esrj-80281	80	4	this	this	DET
esrj-80281	80	5	evaluation	evaluation	NOUN
esrj-80281	80	6	is	be	AUX
esrj-80281	80	7	based	base	VERB
esrj-80281	80	8	on	on	ADP
esrj-80281	80	9	measuring	measure	VERB
esrj-80281	80	10	the	the	DET
esrj-80281	80	11	quality	quality	NOUN
esrj-80281	80	12	of	of	ADP
esrj-80281	80	13	fusion	fusion	NOUN
esrj-80281	80	14	images	image	NOUN
esrj-80281	80	15	by	by	ADP
esrj-80281	80	16	statistics(sun	statistics(sun	PROPN
esrj-80281	80	17	&	&	CCONJ
esrj-80281	80	18	messinger	messinger	PROPN
esrj-80281	80	19	,	,	PUNCT
esrj-80281	80	20	2014	2014	NUM
esrj-80281	80	21	)	)	PUNCT
esrj-80281	80	22	.	.	PUNCT
esrj-80281	81	1	the	the	DET
esrj-80281	81	2	study	study	NOUN
esrj-80281	81	3	selects	select	NOUN
esrj-80281	81	4	mean	mean	VERB
esrj-80281	81	5	values	value	NOUN
esrj-80281	81	6	and	and	CCONJ
esrj-80281	81	7	the	the	DET
esrj-80281	81	8	standard	standard	ADJ
esrj-80281	81	9	deviation	deviation	NOUN
esrj-80281	81	10	of	of	ADP
esrj-80281	81	11	the	the	DET
esrj-80281	81	12	brightness	brightness	NOUN
esrj-80281	81	13	information	information	NOUN
esrj-80281	81	14	from	from	ADP
esrj-80281	81	15	images	image	NOUN
esrj-80281	81	16	,	,	PUNCT
esrj-80281	81	17	the	the	DET
esrj-80281	81	18	correlation	correlation	NOUN
esrj-80281	81	19	coefficient	coefficient	NOUN
esrj-80281	81	20	of	of	ADP
esrj-80281	81	21	the	the	DET
esrj-80281	81	22	spectral	spectral	ADJ
esrj-80281	81	23	information	information	NOUN
esrj-80281	81	24	,	,	PUNCT
esrj-80281	81	25	the	the	DET
esrj-80281	81	26	information	information	NOUN
esrj-80281	81	27	entropy	entropy	NOUN
esrj-80281	81	28	of	of	ADP
esrj-80281	81	29	the	the	DET
esrj-80281	81	30	image	image	NOUN
esrj-80281	81	31	information	information	NOUN
esrj-80281	81	32	,	,	PUNCT
esrj-80281	81	33	and	and	CCONJ
esrj-80281	81	34	the	the	DET
esrj-80281	81	35	average	average	ADJ
esrj-80281	81	36	gradient	gradient	NOUN
esrj-80281	81	37	of	of	ADP
esrj-80281	81	38	the	the	DET
esrj-80281	81	39	image	image	NOUN
esrj-80281	81	40	clarity	clarity	NOUN
esrj-80281	81	41	on	on	ADP
esrj-80281	81	42	the	the	DET
esrj-80281	81	43	different	different	ADJ
esrj-80281	81	44	fusion	fusion	NOUN
esrj-80281	81	45	effects	effect	NOUN
esrj-80281	81	46	of	of	ADP
esrj-80281	81	47	the	the	DET
esrj-80281	81	48	pms	pms	PROPN
esrj-80281	81	49	data	datum	NOUN
esrj-80281	81	50	of	of	ADP
esrj-80281	81	51	the	the	DET
esrj-80281	81	52	gf-2	gf-2	X
esrj-80281	81	53	satellite	satellite	PROPN
esrj-80281	81	54	remote	remote	ADJ
esrj-80281	81	55	sensing	sense	VERB
esrj-80281	81	56	image	image	NOUN
esrj-80281	81	57	to	to	PART
esrj-80281	81	58	do	do	AUX
esrj-80281	81	59	quantitative	quantitative	ADJ
esrj-80281	81	60	evaluation	evaluation	NOUN
esrj-80281	81	61	.	.	PUNCT
esrj-80281	82	1	as	as	SCONJ
esrj-80281	82	2	can	can	AUX
esrj-80281	82	3	be	be	AUX
esrj-80281	82	4	seen	see	VERB
esrj-80281	82	5	from	from	ADP
esrj-80281	82	6	the	the	DET
esrj-80281	82	7	tab	tab	NOUN
esrj-80281	82	8	.	.	PUNCT
esrj-80281	83	1	1	1	NUM
esrj-80281	83	2	:	:	PUNCT
esrj-80281	83	3	(	(	PUNCT
esrj-80281	83	4	1	1	X
esrj-80281	83	5	)	)	PUNCT
esrj-80281	83	6	the	the	DET
esrj-80281	83	7	gram	gram	NOUN
esrj-80281	83	8	-	-	PUNCT
esrj-80281	83	9	schmidt	schmidt	NOUN
esrj-80281	83	10	fusion	fusion	NOUN
esrj-80281	83	11	images	image	NOUN
esrj-80281	83	12	have	have	VERB
esrj-80281	83	13	the	the	DET
esrj-80281	83	14	largest	large	ADJ
esrj-80281	83	15	mean	mean	ADJ
esrj-80281	83	16	value	value	NOUN
esrj-80281	83	17	and	and	CCONJ
esrj-80281	83	18	standard	standard	ADJ
esrj-80281	83	19	deviation	deviation	NOUN
esrj-80281	83	20	in	in	ADP
esrj-80281	83	21	brightness	brightness	ADJ
esrj-80281	83	22	information	information	NOUN
esrj-80281	83	23	,	,	PUNCT
esrj-80281	83	24	the	the	DET
esrj-80281	83	25	second	second	ADJ
esrj-80281	83	26	are	be	AUX
esrj-80281	83	27	pansharp	pansharp	ADJ
esrj-80281	83	28	fusion	fusion	NOUN
esrj-80281	83	29	images	image	NOUN
esrj-80281	83	30	.	.	PUNCT
esrj-80281	84	1	the	the	DET
esrj-80281	84	2	nndiffuse	nndiffuse	NOUN
esrj-80281	84	3	fusion	fusion	NOUN
esrj-80281	84	4	images	image	NOUN
esrj-80281	84	5	have	have	VERB
esrj-80281	84	6	the	the	DET
esrj-80281	84	7	a.	a.	NOUN
esrj-80281	84	8	mss	mss	PROPN
esrj-80281	84	9	image	image	PROPN
esrj-80281	84	10	b.	b.	PROPN
esrj-80281	84	11	panchromatic	panchromatic	PROPN
esrj-80281	84	12	image	image	PROPN
esrj-80281	84	13	c.	c.	PROPN
esrj-80281	84	14	pca	pca	PROPN
esrj-80281	84	15	fusion	fusion	PROPN
esrj-80281	84	16	d.	d.	PROPN
esrj-80281	84	17	pansharp	pansharp	ADJ
esrj-80281	84	18	fusion	fusion	PROPN
esrj-80281	84	19	e.	e.	PROPN
esrj-80281	84	20	gram	gram	PROPN
esrj-80281	84	21	-	-	PUNCT
esrj-80281	84	22	schmidt	schmidt	NOUN
esrj-80281	84	23	fusion	fusion	NOUN
esrj-80281	84	24	f.	f.	PROPN
esrj-80281	84	25	nndiffuse	nndiffuse	NOUN
esrj-80281	84	26	fusion	fusion	NOUN
esrj-80281	84	27	figure	figure	NOUN
esrj-80281	84	28	2	2	NUM
esrj-80281	84	29	.	.	PUNCT
esrj-80281	84	30	comparison	comparison	NOUN
esrj-80281	84	31	of	of	ADP
esrj-80281	84	32	the	the	DET
esrj-80281	84	33	different	different	ADJ
esrj-80281	84	34	fusion	fusion	NOUN
esrj-80281	84	35	effects	effect	NOUN
esrj-80281	84	36	on	on	ADP
esrj-80281	84	37	the	the	DET
esrj-80281	84	38	original	original	ADJ
esrj-80281	84	39	multi	multi	ADJ
esrj-80281	84	40	-	-	ADJ
esrj-80281	84	41	spectral	spectral	ADJ
esrj-80281	84	42	and	and	CCONJ
esrj-80281	84	43	panchromatic	panchromatic	ADJ
esrj-80281	84	44	of	of	ADP
esrj-80281	84	45	gf-2	gf-2	PRON
esrj-80281	84	46	166	166	NUM
esrj-80281	84	47	jintong	jintong	ADP
esrj-80281	84	48	ren	ren	PROPN
esrj-80281	84	49	,	,	PUNCT
esrj-80281	84	50	wunian	wunian	PROPN
esrj-80281	84	51	yang	yang	PROPN
esrj-80281	84	52	,	,	PUNCT
esrj-80281	84	53	xin	xin	PROPN
esrj-80281	84	54	yang	yang	PROPN
esrj-80281	84	55	,	,	PUNCT
esrj-80281	84	56	xiaoyu	xiaoyu	PROPN
esrj-80281	84	57	deng	deng	PROPN
esrj-80281	84	58	,	,	PUNCT
esrj-80281	84	59	he	he	PROPN
esrj-80281	84	60	zhao	zhao	PROPN
esrj-80281	84	61	,	,	PUNCT
esrj-80281	84	62	fang	fang	PROPN
esrj-80281	84	63	wang	wang	PROPN
esrj-80281	84	64	,	,	PUNCT
esrj-80281	84	65	lei	lei	PROPN
esrj-80281	84	66	wang	wang	PROPN
esrj-80281	84	67	smallest	small	ADJ
esrj-80281	84	68	mean	mean	VERB
esrj-80281	84	69	value	value	NOUN
esrj-80281	84	70	and	and	CCONJ
esrj-80281	84	71	standard	standard	ADJ
esrj-80281	84	72	deviation	deviation	NOUN
esrj-80281	84	73	.	.	PUNCT
esrj-80281	85	1	(	(	PUNCT
esrj-80281	85	2	2	2	X
esrj-80281	85	3	)	)	PUNCT
esrj-80281	85	4	the	the	DET
esrj-80281	85	5	correlation	correlation	NOUN
esrj-80281	85	6	coefficient	coefficient	NOUN
esrj-80281	85	7	of	of	ADP
esrj-80281	85	8	the	the	DET
esrj-80281	85	9	spectral	spectral	ADJ
esrj-80281	85	10	information	information	NOUN
esrj-80281	85	11	shows	show	VERB
esrj-80281	85	12	that	that	SCONJ
esrj-80281	85	13	the	the	DET
esrj-80281	85	14	pansharp	pansharp	ADJ
esrj-80281	85	15	fusion	fusion	NOUN
esrj-80281	85	16	images	image	NOUN
esrj-80281	85	17	have	have	VERB
esrj-80281	85	18	the	the	DET
esrj-80281	85	19	highest	high	ADJ
esrj-80281	85	20	correlation	correlation	NOUN
esrj-80281	85	21	with	with	ADP
esrj-80281	85	22	original	original	ADJ
esrj-80281	85	23	images	image	NOUN
esrj-80281	85	24	.	.	PUNCT
esrj-80281	86	1	the	the	DET
esrj-80281	86	2	second	second	ADJ
esrj-80281	86	3	are	be	AUX
esrj-80281	86	4	nndiffuse	nndiffuse	NOUN
esrj-80281	86	5	fusion	fusion	NOUN
esrj-80281	86	6	images	image	NOUN
esrj-80281	86	7	and	and	CCONJ
esrj-80281	86	8	the	the	DET
esrj-80281	86	9	worst	bad	ADJ
esrj-80281	86	10	are	be	AUX
esrj-80281	86	11	gram	gram	NOUN
esrj-80281	86	12	-	-	PUNCT
esrj-80281	86	13	schmidt	schmidt	NOUN
esrj-80281	86	14	fusion	fusion	NOUN
esrj-80281	86	15	images	image	NOUN
esrj-80281	86	16	.	.	PUNCT
esrj-80281	87	1	(	(	PUNCT
esrj-80281	87	2	3	3	X
esrj-80281	87	3	)	)	PUNCT
esrj-80281	87	4	gram	gram	NOUN
esrj-80281	87	5	-	-	PUNCT
esrj-80281	87	6	schmidt	schmidt	NOUN
esrj-80281	87	7	fusion	fusion	NOUN
esrj-80281	87	8	images	image	NOUN
esrj-80281	87	9	cover	cover	VERB
esrj-80281	87	10	the	the	DET
esrj-80281	87	11	largest	large	ADJ
esrj-80281	87	12	amount	amount	NOUN
esrj-80281	87	13	of	of	ADP
esrj-80281	87	14	information	information	NOUN
esrj-80281	87	15	,	,	PUNCT
esrj-80281	87	16	then	then	ADV
esrj-80281	87	17	are	be	AUX
esrj-80281	87	18	the	the	DET
esrj-80281	87	19	pansharp	pansharp	ADJ
esrj-80281	87	20	fusion	fusion	NOUN
esrj-80281	87	21	images	image	NOUN
esrj-80281	87	22	.	.	PUNCT
esrj-80281	88	1	pca	pca	NOUN
esrj-80281	88	2	fusion	fusion	NOUN
esrj-80281	88	3	images	image	NOUN
esrj-80281	88	4	cover	cover	VERB
esrj-80281	88	5	little	little	ADJ
esrj-80281	88	6	information	information	NOUN
esrj-80281	88	7	.	.	PUNCT
esrj-80281	89	1	(	(	PUNCT
esrj-80281	89	2	4	4	X
esrj-80281	89	3	)	)	PUNCT
esrj-80281	89	4	nndiffuse	nndiffuse	NOUN
esrj-80281	89	5	fusion	fusion	NOUN
esrj-80281	89	6	images	image	NOUN
esrj-80281	89	7	have	have	VERB
esrj-80281	89	8	the	the	DET
esrj-80281	89	9	great	great	ADJ
esrj-80281	89	10	average	average	ADJ
esrj-80281	89	11	gradient	gradient	NOUN
esrj-80281	89	12	,	,	PUNCT
esrj-80281	89	13	then	then	ADV
esrj-80281	89	14	are	be	AUX
esrj-80281	89	15	pansharp	pansharp	ADJ
esrj-80281	89	16	fusion	fusion	NOUN
esrj-80281	89	17	images	image	NOUN
esrj-80281	89	18	which	which	PRON
esrj-80281	89	19	are	be	AUX
esrj-80281	89	20	no	no	DET
esrj-80281	89	21	big	big	ADJ
esrj-80281	89	22	difference	difference	NOUN
esrj-80281	89	23	from	from	ADP
esrj-80281	89	24	nndiffuse	nndiffuse	NOUN
esrj-80281	89	25	fusion	fusion	NOUN
esrj-80281	89	26	images	image	NOUN
esrj-80281	89	27	.	.	PUNCT
esrj-80281	90	1	pca	pca	NOUN
esrj-80281	90	2	fusion	fusion	NOUN
esrj-80281	90	3	images	image	NOUN
esrj-80281	90	4	have	have	VERB
esrj-80281	90	5	the	the	DET
esrj-80281	90	6	smallest	small	ADJ
esrj-80281	90	7	average	average	ADJ
esrj-80281	90	8	gradient	gradient	NOUN
esrj-80281	90	9	.	.	PUNCT
esrj-80281	91	1	two	two	NUM
esrj-80281	91	2	classification	classification	NOUN
esrj-80281	91	3	problems	problem	NOUN
esrj-80281	91	4	.	.	PUNCT
esrj-80281	92	1	then	then	ADV
esrj-80281	92	2	it	it	PRON
esrj-80281	92	3	is	be	AUX
esrj-80281	92	4	applied	apply	VERB
esrj-80281	92	5	to	to	ADP
esrj-80281	92	6	non	non	ADJ
esrj-80281	92	7	linear	linear	PROPN
esrj-80281	92	8	separable	separable	ADJ
esrj-80281	92	9	problems	problem	NOUN
esrj-80281	92	10	,	,	PUNCT
esrj-80281	92	11	non	non	ADP
esrj-80281	92	12	classifying	classify	VERB
esrj-80281	92	13	problems	problem	NOUN
esrj-80281	92	14	,	,	PUNCT
esrj-80281	92	15	multi	multi	ADJ
esrj-80281	92	16	class	class	NOUN
esrj-80281	92	17	classification	classification	NOUN
esrj-80281	92	18	problems	problem	NOUN
esrj-80281	92	19	(	(	PUNCT
esrj-80281	92	20	fan	fan	NOUN
esrj-80281	92	21	,	,	PUNCT
esrj-80281	92	22	2015	2015	NUM
esrj-80281	92	23	)	)	PUNCT
esrj-80281	92	24	.	.	PUNCT
esrj-80281	93	1	the	the	DET
esrj-80281	93	2	results	result	NOUN
esrj-80281	93	3	which	which	PRON
esrj-80281	93	4	are	be	AUX
esrj-80281	93	5	based	base	VERB
esrj-80281	93	6	on	on	ADP
esrj-80281	93	7	svm	svm	ADJ
esrj-80281	93	8	classification	classification	NOUN
esrj-80281	93	9	algorithm	algorithm	NOUN
esrj-80281	93	10	present	present	ADJ
esrj-80281	93	11	as	as	ADP
esrj-80281	93	12	figure	figure	NOUN
esrj-80281	93	13	4	4	NUM
esrj-80281	93	14	.	.	PUNCT
esrj-80281	93	15	random	random	ADJ
esrj-80281	93	16	trees	tree	NOUN
esrj-80281	93	17	classification	classification	NOUN
esrj-80281	93	18	algorithm	algorithm	NOUN
esrj-80281	93	19	random	random	ADJ
esrj-80281	93	20	trees	tree	NOUN
esrj-80281	93	21	algorithm	algorithm	NOUN
esrj-80281	93	22	is	be	AUX
esrj-80281	93	23	also	also	ADV
esrj-80281	93	24	called	call	VERB
esrj-80281	93	25	random	random	ADJ
esrj-80281	93	26	forest	forest	NOUN
esrj-80281	93	27	classification	classification	NOUN
esrj-80281	93	28	algorithm	algorithm	NOUN
esrj-80281	93	29	.	.	PUNCT
esrj-80281	94	1	it	it	PRON
esrj-80281	94	2	is	be	AUX
esrj-80281	94	3	a	a	DET
esrj-80281	94	4	joint	joint	ADJ
esrj-80281	94	5	forecasting	forecasting	NOUN
esrj-80281	94	6	model	model	NOUN
esrj-80281	94	7	which	which	PRON
esrj-80281	94	8	is	be	AUX
esrj-80281	94	9	combined	combine	VERB
esrj-80281	94	10	by	by	ADP
esrj-80281	94	11	many	many	ADJ
esrj-80281	94	12	decision	decision	NOUN
esrj-80281	94	13	trees	tree	NOUN
esrj-80281	94	14	.	.	PUNCT
esrj-80281	95	1	the	the	DET
esrj-80281	95	2	core	core	NOUN
esrj-80281	95	3	idea	idea	NOUN
esrj-80281	95	4	is	be	AUX
esrj-80281	95	5	to	to	PART
esrj-80281	95	6	randomize	randomize	VERB
esrj-80281	95	7	the	the	DET
esrj-80281	95	8	input	input	NOUN
esrj-80281	95	9	samples	sample	NOUN
esrj-80281	95	10	on	on	ADP
esrj-80281	95	11	the	the	DET
esrj-80281	95	12	use	use	NOUN
esrj-80281	95	13	of	of	ADP
esrj-80281	95	14	recorded	record	VERB
esrj-80281	95	15	data	datum	NOUN
esrj-80281	95	16	(	(	PUNCT
esrj-80281	95	17	rows	row	NOUN
esrj-80281	95	18	)	)	PUNCT
esrj-80281	95	19	and	and	CCONJ
esrj-80281	95	20	specific	specific	ADJ
esrj-80281	95	21	variables	variable	NOUN
esrj-80281	95	22	(	(	PUNCT
esrj-80281	95	23	columns	column	NOUN
esrj-80281	95	24	)	)	PUNCT
esrj-80281	95	25	(	(	PUNCT
esrj-80281	95	26	yang	yang	PROPN
esrj-80281	95	27	,	,	PUNCT
esrj-80281	95	28	2015	2015	NUM
esrj-80281	95	29	)	)	PUNCT
esrj-80281	95	30	.	.	PUNCT
esrj-80281	96	1	through	through	ADP
esrj-80281	96	2	the	the	DET
esrj-80281	96	3	resampling	resample	VERB
esrj-80281	96	4	method	method	NOUN
esrj-80281	96	5	by	by	ADP
esrj-80281	96	6	returning	return	VERB
esrj-80281	96	7	the	the	DET
esrj-80281	96	8	training	training	NOUN
esrj-80281	96	9	samples	sample	NOUN
esrj-80281	96	10	,	,	PUNCT
esrj-80281	96	11	a	a	DET
esrj-80281	96	12	number	number	NOUN
esrj-80281	96	13	of	of	ADP
esrj-80281	96	14	training	training	NOUN
esrj-80281	96	15	set	set	VERB
esrj-80281	96	16	sub	sub	NOUN
esrj-80281	96	17	-	-	NOUN
esrj-80281	96	18	samples	sample	NOUN
esrj-80281	96	19	are	be	AUX
esrj-80281	96	20	selected	select	VERB
esrj-80281	96	21	from	from	ADP
esrj-80281	96	22	the	the	DET
esrj-80281	96	23	original	original	ADJ
esrj-80281	96	24	samples	sample	NOUN
esrj-80281	96	25	,	,	PUNCT
esrj-80281	96	26	and	and	CCONJ
esrj-80281	96	27	the	the	DET
esrj-80281	96	28	decision	decision	NOUN
esrj-80281	96	29	trees	tree	NOUN
esrj-80281	96	30	are	be	AUX
esrj-80281	96	31	modeled	model	VERB
esrj-80281	96	32	using	use	VERB
esrj-80281	96	33	these	these	DET
esrj-80281	96	34	sub	sub	ADJ
esrj-80281	96	35	-	-	ADJ
esrj-80281	96	36	sample	sample	ADJ
esrj-80281	96	37	sets	set	NOUN
esrj-80281	96	38	to	to	PART
esrj-80281	96	39	generate	generate	VERB
esrj-80281	96	40	multiple	multiple	ADJ
esrj-80281	96	41	decision	decision	NOUN
esrj-80281	96	42	trees	tree	NOUN
esrj-80281	96	43	,	,	PUNCT
esrj-80281	96	44	the	the	DET
esrj-80281	96	45	vote	vote	NOUN
esrj-80281	96	46	to	to	PART
esrj-80281	96	47	draw	draw	VERB
esrj-80281	96	48	the	the	DET
esrj-80281	96	49	final	final	ADJ
esrj-80281	96	50	classification	classification	NOUN
esrj-80281	96	51	or	or	CCONJ
esrj-80281	96	52	prediction	prediction	NOUN
esrj-80281	96	53	results	result	NOUN
esrj-80281	96	54	are	be	AUX
esrj-80281	96	55	according	accord	VERB
esrj-80281	96	56	to	to	ADP
esrj-80281	96	57	the	the	DET
esrj-80281	96	58	results	result	NOUN
esrj-80281	96	59	of	of	ADP
esrj-80281	96	60	the	the	DET
esrj-80281	96	61	forecast	forecast	NOUN
esrj-80281	96	62	of	of	ADP
esrj-80281	96	63	each	each	DET
esrj-80281	96	64	tree	tree	NOUN
esrj-80281	96	65	(	(	PUNCT
esrj-80281	96	66	zhang	zhang	PROPN
esrj-80281	96	67	,	,	PUNCT
esrj-80281	96	68	2016	2016	NUM
esrj-80281	96	69	)	)	PUNCT
esrj-80281	96	70	.	.	PUNCT
esrj-80281	97	1	the	the	DET
esrj-80281	97	2	advantages	advantage	NOUN
esrj-80281	97	3	of	of	ADP
esrj-80281	97	4	the	the	DET
esrj-80281	97	5	random	random	ADJ
esrj-80281	97	6	trees	tree	NOUN
esrj-80281	97	7	algorithm	algorithm	NOUN
esrj-80281	97	8	are	be	AUX
esrj-80281	97	9	that	that	SCONJ
esrj-80281	97	10	they	they	PRON
esrj-80281	97	11	are	be	AUX
esrj-80281	97	12	suitable	suitable	ADJ
esrj-80281	97	13	for	for	ADP
esrj-80281	97	14	the	the	DET
esrj-80281	97	15	data	data	NOUN
esrj-80281	97	16	processing	processing	NOUN
esrj-80281	97	17	of	of	ADP
esrj-80281	97	18	high	high	ADJ
esrj-80281	97	19	dimensional	dimensional	ADJ
esrj-80281	97	20	and	and	CCONJ
esrj-80281	97	21	large	large	ADJ
esrj-80281	97	22	data	datum	NOUN
esrj-80281	97	23	due	due	ADP
esrj-80281	97	24	to	to	ADP
esrj-80281	97	25	the	the	DET
esrj-80281	97	26	randomness	randomness	NOUN
esrj-80281	97	27	of	of	ADP
esrj-80281	97	28	the	the	DET
esrj-80281	97	29	sample	sample	NOUN
esrj-80281	97	30	extraction	extraction	NOUN
esrj-80281	97	31	and	and	CCONJ
esrj-80281	97	32	the	the	DET
esrj-80281	97	33	feature	feature	NOUN
esrj-80281	97	34	tree	tree	NOUN
esrj-80281	97	35	of	of	ADP
esrj-80281	97	36	the	the	DET
esrj-80281	97	37	decision	decision	NOUN
esrj-80281	97	38	tree	tree	NOUN
esrj-80281	97	39	node	node	NOUN
esrj-80281	97	40	,	,	PUNCT
esrj-80281	97	41	the	the	DET
esrj-80281	97	42	data	data	NOUN
esrj-80281	97	43	is	be	AUX
esrj-80281	97	44	not	not	PART
esrj-80281	97	45	preprocessed	preprocesse	VERB
esrj-80281	97	46	and	and	CCONJ
esrj-80281	97	47	the	the	DET
esrj-80281	97	48	parameters	parameter	NOUN
esrj-80281	97	49	are	be	AUX
esrj-80281	97	50	simple	simple	ADJ
esrj-80281	97	51	.	.	PUNCT
esrj-80281	98	1	high	high	ADJ
esrj-80281	98	2	-	-	PUNCT
esrj-80281	98	3	dimensional	dimensional	ADJ
esrj-80281	98	4	feature	feature	NOUN
esrj-80281	98	5	data	datum	NOUN
esrj-80281	98	6	processing	processing	NOUN
esrj-80281	98	7	,	,	PUNCT
esrj-80281	98	8	better	well	ADV
esrj-80281	98	9	reflect	reflect	VERB
esrj-80281	98	10	its	its	PRON
esrj-80281	98	11	stable	stable	ADJ
esrj-80281	98	12	,	,	PUNCT
esrj-80281	98	13	efficient	efficient	ADJ
esrj-80281	98	14	and	and	CCONJ
esrj-80281	98	15	accurate	accurate	ADJ
esrj-80281	98	16	advantages	advantage	NOUN
esrj-80281	98	17	.	.	PUNCT
esrj-80281	99	1	the	the	DET
esrj-80281	99	2	results	result	NOUN
esrj-80281	99	3	which	which	PRON
esrj-80281	99	4	are	be	AUX
esrj-80281	99	5	based	base	VERB
esrj-80281	99	6	on	on	ADP
esrj-80281	99	7	random	random	ADJ
esrj-80281	99	8	trees	tree	NOUN
esrj-80281	99	9	classification	classification	NOUN
esrj-80281	99	10	algorithm	algorithm	NOUN
esrj-80281	99	11	present	present	ADJ
esrj-80281	99	12	as	as	ADP
esrj-80281	99	13	figure	figure	NOUN
esrj-80281	99	14	5	5	NUM
esrj-80281	99	15	.	.	PUNCT
esrj-80281	99	16	classification	classification	NOUN
esrj-80281	99	17	accuracy	accuracy	NOUN
esrj-80281	99	18	evaluation	evaluation	NOUN
esrj-80281	99	19	and	and	CCONJ
esrj-80281	99	20	results	result	VERB
esrj-80281	99	21	analysis	analysis	NOUN
esrj-80281	99	22	in	in	ADP
esrj-80281	99	23	order	order	NOUN
esrj-80281	99	24	to	to	PART
esrj-80281	99	25	do	do	AUX
esrj-80281	99	26	classification	classification	NOUN
esrj-80281	99	27	accuracy	accuracy	NOUN
esrj-80281	99	28	evaluation	evaluation	NOUN
esrj-80281	99	29	in	in	ADP
esrj-80281	99	30	different	different	ADJ
esrj-80281	99	31	algorithm	algorithm	NOUN
esrj-80281	99	32	,	,	PUNCT
esrj-80281	99	33	this	this	DET
esrj-80281	99	34	study	study	NOUN
esrj-80281	99	35	selected	select	VERB
esrj-80281	99	36	350	350	NUM
esrj-80281	99	37	samples	sample	NOUN
esrj-80281	99	38	randomly	randomly	ADV
esrj-80281	99	39	by	by	ADP
esrj-80281	99	40	using	use	VERB
esrj-80281	99	41	visual	visual	ADJ
esrj-80281	99	42	interpretation	interpretation	NOUN
esrj-80281	99	43	.	.	PUNCT
esrj-80281	100	1	the	the	DET
esrj-80281	100	2	study	study	NOUN
esrj-80281	100	3	requires	require	VERB
esrj-80281	100	4	the	the	DET
esrj-80281	100	5	selected	select	VERB
esrj-80281	100	6	sample	sample	NOUN
esrj-80281	100	7	areas	area	NOUN
esrj-80281	100	8	as	as	ADV
esrj-80281	100	9	small	small	ADJ
esrj-80281	100	10	as	as	ADP
esrj-80281	100	11	possible	possible	ADJ
esrj-80281	100	12	to	to	PART
esrj-80281	100	13	ensure	ensure	VERB
esrj-80281	100	14	that	that	SCONJ
esrj-80281	100	15	it	it	PRON
esrj-80281	100	16	is	be	AUX
esrj-80281	100	17	a	a	DET
esrj-80281	100	18	single	single	ADJ
esrj-80281	100	19	ground	ground	NOUN
esrj-80281	100	20	feature	feature	NOUN
esrj-80281	100	21	.	.	PUNCT
esrj-80281	101	1	quantitative	quantitative	ADJ
esrj-80281	101	2	evaluation	evaluation	NOUN
esrj-80281	101	3	of	of	ADP
esrj-80281	101	4	this	this	DET
esrj-80281	101	5	study	study	NOUN
esrj-80281	101	6	was	be	AUX
esrj-80281	101	7	based	base	VERB
esrj-80281	101	8	on	on	ADP
esrj-80281	101	9	the	the	DET
esrj-80281	101	10	classification	classification	NOUN
esrj-80281	101	11	accuracy	accuracy	NOUN
esrj-80281	101	12	evaluation	evaluation	NOUN
esrj-80281	101	13	of	of	ADP
esrj-80281	101	14	general	general	ADJ
esrj-80281	101	15	classification	classification	NOUN
esrj-80281	101	16	accuracy	accuracy	NOUN
esrj-80281	101	17	and	and	CCONJ
esrj-80281	101	18	kappa	kappa	ADJ
esrj-80281	101	19	coefficient	coefficient	PROPN
esrj-80281	101	20	.	.	PUNCT
esrj-80281	102	1	the	the	DET
esrj-80281	102	2	overall	overall	ADJ
esrj-80281	102	3	classification	classification	NOUN
esrj-80281	102	4	accuracy	accuracy	NOUN
esrj-80281	102	5	represented	represent	VERB
esrj-80281	102	6	the	the	DET
esrj-80281	102	7	proportion	proportion	NOUN
esrj-80281	102	8	of	of	ADP
esrj-80281	102	9	samples	sample	NOUN
esrj-80281	102	10	that	that	PRON
esrj-80281	102	11	were	be	AUX
esrj-80281	102	12	correctly	correctly	ADV
esrj-80281	102	13	categorized	categorize	VERB
esrj-80281	102	14	in	in	ADP
esrj-80281	102	15	all	all	DET
esrj-80281	102	16	samples	sample	NOUN
esrj-80281	102	17	;	;	PUNCT
esrj-80281	102	18	the	the	DET
esrj-80281	102	19	kappa	kappa	PROPN
esrj-80281	102	20	coefficients	coefficient	NOUN
esrj-80281	102	21	which	which	PRON
esrj-80281	102	22	utilized	utilize	VERB
esrj-80281	102	23	the	the	DET
esrj-80281	102	24	information	information	NOUN
esrj-80281	102	25	of	of	ADP
esrj-80281	102	26	the	the	DET
esrj-80281	102	27	entire	entire	ADJ
esrj-80281	102	28	error	error	NOUN
esrj-80281	102	29	matrix	matrix	NOUN
esrj-80281	102	30	were	be	AUX
esrj-80281	102	31	generally	generally	ADV
esrj-80281	102	32	considered	consider	VERB
esrj-80281	102	33	to	to	PART
esrj-80281	102	34	reflect	reflect	VERB
esrj-80281	102	35	the	the	DET
esrj-80281	102	36	overall	overall	ADJ
esrj-80281	102	37	classification	classification	NOUN
esrj-80281	102	38	accuracy	accuracy	NOUN
esrj-80281	102	39	more	more	ADV
esrj-80281	102	40	accurately	accurately	ADV
esrj-80281	102	41	.	.	PUNCT
esrj-80281	103	1	the	the	DET
esrj-80281	103	2	results	result	NOUN
esrj-80281	103	3	of	of	ADP
esrj-80281	103	4	different	different	ADJ
esrj-80281	103	5	fusion	fusion	NOUN
esrj-80281	103	6	images	image	NOUN
esrj-80281	103	7	classification	classification	NOUN
esrj-80281	103	8	precision	precision	NOUN
esrj-80281	103	9	based	base	VERB
esrj-80281	103	10	on	on	ADP
esrj-80281	103	11	different	different	ADJ
esrj-80281	103	12	classification	classification	NOUN
esrj-80281	103	13	algorithms	algorithm	NOUN
esrj-80281	103	14	were	be	AUX
esrj-80281	103	15	presented	present	VERB
esrj-80281	103	16	in	in	ADP
esrj-80281	103	17	tab	tab	NOUN
esrj-80281	103	18	.	.	PUNCT
esrj-80281	104	1	2	2	X
esrj-80281	104	2	.	.	X
esrj-80281	104	3	as	as	SCONJ
esrj-80281	104	4	can	can	AUX
esrj-80281	104	5	be	be	AUX
esrj-80281	104	6	horizontal	horizontal	ADJ
esrj-80281	104	7	compared	compare	VERB
esrj-80281	104	8	from	from	ADP
esrj-80281	104	9	the	the	DET
esrj-80281	104	10	tab	tab	NOUN
esrj-80281	104	11	.	.	PUNCT
esrj-80281	105	1	2	2	X
esrj-80281	105	2	.	.	X
esrj-80281	105	3	(	(	PUNCT
esrj-80281	105	4	1	1	X
esrj-80281	105	5	)	)	PUNCT
esrj-80281	105	6	different	different	ADJ
esrj-80281	105	7	classification	classification	NOUN
esrj-80281	105	8	algorithms	algorithm	NOUN
esrj-80281	105	9	were	be	AUX
esrj-80281	105	10	used	use	VERB
esrj-80281	105	11	to	to	PART
esrj-80281	105	12	classify	classify	VERB
esrj-80281	105	13	the	the	DET
esrj-80281	105	14	images	image	NOUN
esrj-80281	105	15	based	base	VERB
esrj-80281	105	16	on	on	ADP
esrj-80281	105	17	pca	pca	NOUN
esrj-80281	105	18	fusion	fusion	NOUN
esrj-80281	105	19	,	,	PUNCT
esrj-80281	105	20	pansharp	pansharp	ADJ
esrj-80281	105	21	fusion	fusion	NOUN
esrj-80281	105	22	and	and	CCONJ
esrj-80281	105	23	nndiffuse	nndiffuse	NOUN
esrj-80281	105	24	fusion	fusion	NOUN
esrj-80281	105	25	.	.	PUNCT
esrj-80281	106	1	the	the	DET
esrj-80281	106	2	largest	large	ADJ
esrj-80281	106	3	classification	classification	NOUN
esrj-80281	106	4	algorithm	algorithm	NOUN
esrj-80281	106	5	of	of	ADP
esrj-80281	106	6	the	the	DET
esrj-80281	106	7	overall	overall	ADJ
esrj-80281	106	8	classification	classification	NOUN
esrj-80281	106	9	accuracy	accuracy	NOUN
esrj-80281	106	10	and	and	CCONJ
esrj-80281	106	11	the	the	DET
esrj-80281	106	12	kappa	kappa	PROPN
esrj-80281	106	13	coefficient	coefficient	NOUN
esrj-80281	106	14	were	be	AUX
esrj-80281	106	15	the	the	DET
esrj-80281	106	16	knn	knn	PROPN
esrj-80281	106	17	object	object	NOUN
esrj-80281	106	18	-	-	PUNCT
esrj-80281	106	19	oriented	orient	VERB
esrj-80281	106	20	classification	classification	NOUN
esrj-80281	106	21	algorithm	algorithm	NOUN
esrj-80281	106	22	,	,	PUNCT
esrj-80281	106	23	followed	follow	VERB
esrj-80281	106	24	by	by	ADP
esrj-80281	106	25	the	the	DET
esrj-80281	106	26	random	random	ADJ
esrj-80281	106	27	trees	tree	NOUN
esrj-80281	106	28	classification	classification	NOUN
esrj-80281	106	29	algorithm	algorithm	NOUN
esrj-80281	106	30	,	,	PUNCT
esrj-80281	106	31	and	and	CCONJ
esrj-80281	106	32	the	the	DET
esrj-80281	106	33	svm	svm	ADJ
esrj-80281	106	34	classification	classification	NOUN
esrj-80281	106	35	algorithm	algorithm	NOUN
esrj-80281	106	36	has	have	VERB
esrj-80281	106	37	the	the	DET
esrj-80281	106	38	worst	bad	ADJ
esrj-80281	106	39	performance	performance	NOUN
esrj-80281	106	40	.	.	PUNCT
esrj-80281	107	1	(	(	PUNCT
esrj-80281	107	2	2	2	X
esrj-80281	107	3	)	)	PUNCT
esrj-80281	107	4	the	the	DET
esrj-80281	107	5	best	good	ADJ
esrj-80281	107	6	effect	effect	NOUN
esrj-80281	107	7	of	of	ADP
esrj-80281	107	8	gram	gram	NOUN
esrj-80281	107	9	-	-	PUNCT
esrj-80281	107	10	schmidt	schmidt	NOUN
esrj-80281	107	11	fusion	fusion	NOUN
esrj-80281	107	12	image	image	NOUN
esrj-80281	107	13	classification	classification	NOUN
esrj-80281	107	14	was	be	AUX
esrj-80281	107	15	the	the	DET
esrj-80281	107	16	random	random	ADJ
esrj-80281	107	17	trees	tree	NOUN
esrj-80281	107	18	classification	classification	NOUN
esrj-80281	107	19	algorithm	algorithm	NOUN
esrj-80281	107	20	,	,	PUNCT
esrj-80281	107	21	followed	follow	VERB
esrj-80281	107	22	by	by	ADP
esrj-80281	107	23	knn	knn	PROPN
esrj-80281	107	24	classification	classification	NOUN
esrj-80281	107	25	algorithm	algorithm	NOUN
esrj-80281	107	26	.	.	PUNCT
esrj-80281	108	1	svm	svm	ADJ
esrj-80281	108	2	classification	classification	NOUN
esrj-80281	108	3	algorithm	algorithm	NOUN
esrj-80281	108	4	performance	performance	NOUN
esrj-80281	108	5	was	be	AUX
esrj-80281	108	6	the	the	DET
esrj-80281	108	7	worst	bad	ADJ
esrj-80281	108	8	.	.	PUNCT
esrj-80281	109	1	therefore	therefore	ADV
esrj-80281	109	2	,	,	PUNCT
esrj-80281	109	3	the	the	DET
esrj-80281	109	4	knn	knn	PROPN
esrj-80281	109	5	classification	classification	NOUN
esrj-80281	109	6	algorithm	algorithm	NOUN
esrj-80281	109	7	was	be	AUX
esrj-80281	109	8	the	the	DET
esrj-80281	109	9	most	most	ADV
esrj-80281	109	10	suitable	suitable	ADJ
esrj-80281	109	11	method	method	NOUN
esrj-80281	109	12	for	for	ADP
esrj-80281	109	13	urban	urban	ADJ
esrj-80281	109	14	ground	ground	NOUN
esrj-80281	109	15	information	information	NOUN
esrj-80281	109	16	classification	classification	NOUN
esrj-80281	109	17	based	base	VERB
esrj-80281	109	18	on	on	ADP
esrj-80281	109	19	pca	pca	NOUN
esrj-80281	109	20	fusion	fusion	NOUN
esrj-80281	109	21	,	,	PUNCT
esrj-80281	109	22	pansharp	pansharp	ADJ
esrj-80281	109	23	fusion	fusion	NOUN
esrj-80281	109	24	and	and	CCONJ
esrj-80281	109	25	nndiffuse	nndiffuse	NOUN
esrj-80281	109	26	fusion	fusion	NOUN
esrj-80281	109	27	.	.	PUNCT
esrj-80281	110	1	for	for	ADP
esrj-80281	110	2	the	the	DET
esrj-80281	110	3	gram	gram	NOUN
esrj-80281	110	4	-	-	PUNCT
esrj-80281	110	5	schmidt	schmidt	NOUN
esrj-80281	110	6	fusion	fusion	NOUN
esrj-80281	110	7	,	,	PUNCT
esrj-80281	110	8	it	it	PRON
esrj-80281	110	9	was	be	AUX
esrj-80281	110	10	useful	useful	ADJ
esrj-80281	110	11	to	to	PART
esrj-80281	110	12	use	use	VERB
esrj-80281	110	13	random	random	ADJ
esrj-80281	110	14	trees	tree	NOUN
esrj-80281	110	15	classification	classification	NOUN
esrj-80281	110	16	algorithm	algorithm	NOUN
esrj-80281	110	17	in	in	ADP
esrj-80281	110	18	urban	urban	ADJ
esrj-80281	110	19	ground	ground	NOUN
esrj-80281	110	20	information	information	NOUN
esrj-80281	110	21	extraction	extraction	NOUN
esrj-80281	110	22	;	;	PUNCT
esrj-80281	110	23	svm	svm	VERB
esrj-80281	110	24	classification	classification	NOUN
esrj-80281	110	25	algorithm	algorithm	NOUN
esrj-80281	110	26	was	be	AUX
esrj-80281	110	27	not	not	PART
esrj-80281	110	28	useful	useful	ADJ
esrj-80281	110	29	for	for	ADP
esrj-80281	110	30	the	the	DET
esrj-80281	110	31	urban	urban	ADJ
esrj-80281	110	32	ground	ground	NOUN
esrj-80281	110	33	information	information	NOUN
esrj-80281	110	34	extraction	extraction	NOUN
esrj-80281	110	35	in	in	ADP
esrj-80281	110	36	the	the	DET
esrj-80281	110	37	four	four	NUM
esrj-80281	110	38	fusion	fusion	NOUN
esrj-80281	110	39	methods	method	NOUN
esrj-80281	110	40	.	.	PUNCT
esrj-80281	111	1	as	as	SCONJ
esrj-80281	111	2	can	can	AUX
esrj-80281	111	3	be	be	AUX
esrj-80281	111	4	vertical	vertical	ADJ
esrj-80281	111	5	compared	compare	VERB
esrj-80281	111	6	from	from	ADP
esrj-80281	111	7	the	the	DET
esrj-80281	111	8	table	table	NOUN
esrj-80281	111	9	2	2	NUM
esrj-80281	111	10	.	.	PUNCT
esrj-80281	112	1	(	(	PUNCT
esrj-80281	112	2	1	1	X
esrj-80281	112	3	)	)	PUNCT
esrj-80281	112	4	the	the	DET
esrj-80281	112	5	largest	large	ADJ
esrj-80281	112	6	kappa	kappa	ADJ
esrj-80281	112	7	coefficient	coefficient	NOUN
esrj-80281	112	8	and	and	CCONJ
esrj-80281	112	9	overall	overall	ADJ
esrj-80281	112	10	classification	classification	NOUN
esrj-80281	112	11	accuracy	accuracy	NOUN
esrj-80281	112	12	were	be	AUX
esrj-80281	112	13	based	base	VERB
esrj-80281	112	14	on	on	ADP
esrj-80281	112	15	the	the	DET
esrj-80281	112	16	knn	knn	PROPN
esrj-80281	112	17	classification	classification	NOUN
esrj-80281	112	18	algorithm	algorithm	NOUN
esrj-80281	112	19	to	to	PART
esrj-80281	112	20	classify	classify	VERB
esrj-80281	112	21	the	the	DET
esrj-80281	112	22	gf-2	gf-2	X
esrj-80281	112	23	images	image	NOUN
esrj-80281	112	24	in	in	ADP
esrj-80281	112	25	nndiffuse	nndiffuse	NOUN
esrj-80281	112	26	fusion	fusion	NOUN
esrj-80281	112	27	,	,	PUNCT
esrj-80281	112	28	followed	follow	VERB
esrj-80281	112	29	by	by	ADP
esrj-80281	112	30	the	the	DET
esrj-80281	112	31	random	random	ADJ
esrj-80281	112	32	trees	tree	NOUN
esrj-80281	112	33	classification	classification	NOUN
esrj-80281	112	34	algorithm	algorithm	NOUN
esrj-80281	112	35	in	in	ADP
esrj-80281	112	36	nndiffuse	nndiffuse	NOUN
esrj-80281	112	37	fusion	fusion	NOUN
esrj-80281	112	38	image	image	NOUN
esrj-80281	112	39	classification	classification	NOUN
esrj-80281	112	40	;	;	PUNCT
esrj-80281	112	41	(	(	PUNCT
esrj-80281	112	42	2	2	X
esrj-80281	112	43	)	)	PUNCT
esrj-80281	112	44	by	by	ADP
esrj-80281	112	45	using	use	VERB
esrj-80281	112	46	the	the	DET
esrj-80281	112	47	knn	knn	PROPN
esrj-80281	112	48	classification	classification	NOUN
esrj-80281	112	49	algorithm	algorithm	NOUN
esrj-80281	112	50	and	and	CCONJ
esrj-80281	112	51	the	the	DET
esrj-80281	112	52	random	random	ADJ
esrj-80281	112	53	trees	tree	NOUN
esrj-80281	112	54	classification	classification	NOUN
esrj-80281	112	55	algorithm	algorithm	NOUN
esrj-80281	112	56	,	,	PUNCT
esrj-80281	112	57	the	the	DET
esrj-80281	112	58	overall	overall	ADJ
esrj-80281	112	59	classification	classification	NOUN
esrj-80281	112	60	accuracy	accuracy	NOUN
esrj-80281	112	61	and	and	CCONJ
esrj-80281	112	62	kappa	kappa	ADJ
esrj-80281	112	63	coefficient	coefficient	NOUN
esrj-80281	112	64	of	of	ADP
esrj-80281	112	65	the	the	DET
esrj-80281	112	66	image	image	NOUN
esrj-80281	112	67	based	base	VERB
esrj-80281	112	68	on	on	ADP
esrj-80281	112	69	pca	pca	NOUN
esrj-80281	112	70	fusion	fusion	NOUN
esrj-80281	112	71	and	and	CCONJ
esrj-80281	112	72	pansharp	pansharp	ADJ
esrj-80281	112	73	fusion	fusion	NOUN
esrj-80281	112	74	were	be	AUX
esrj-80281	112	75	the	the	DET
esrj-80281	112	76	same	same	ADJ
esrj-80281	112	77	.	.	PUNCT
esrj-80281	113	1	when	when	SCONJ
esrj-80281	113	2	the	the	DET
esrj-80281	113	3	svm	svm	ADJ
esrj-80281	113	4	classification	classification	NOUN
esrj-80281	113	5	algorithm	algorithm	NOUN
esrj-80281	113	6	was	be	AUX
esrj-80281	113	7	used	use	VERB
esrj-80281	113	8	,	,	PUNCT
esrj-80281	113	9	the	the	DET
esrj-80281	113	10	classification	classification	NOUN
esrj-80281	113	11	result	result	NOUN
esrj-80281	113	12	of	of	ADP
esrj-80281	113	13	pansharp	pansharp	ADJ
esrj-80281	113	14	fusion	fusion	NOUN
esrj-80281	113	15	image	image	NOUN
esrj-80281	113	16	was	be	AUX
esrj-80281	113	17	better	well	ADJ
esrj-80281	113	18	than	than	ADP
esrj-80281	113	19	that	that	PRON
esrj-80281	113	20	of	of	ADP
esrj-80281	113	21	pca	pca	NOUN
esrj-80281	113	22	classification	classification	NOUN
esrj-80281	113	23	accuracy	accuracy	NOUN
esrj-80281	113	24	was	be	AUX
esrj-80281	113	25	higher	high	ADJ
esrj-80281	113	26	;	;	PUNCT
esrj-80281	113	27	(	(	PUNCT
esrj-80281	113	28	3	3	X
esrj-80281	113	29	)	)	PUNCT
esrj-80281	113	30	using	use	VERB
esrj-80281	113	31	the	the	DET
esrj-80281	113	32	random	random	ADJ
esrj-80281	113	33	trees	tree	NOUN
esrj-80281	113	34	classification	classification	NOUN
esrj-80281	113	35	algorithm	algorithm	NOUN
esrj-80281	113	36	to	to	PART
esrj-80281	113	37	improve	improve	VERB
esrj-80281	113	38	the	the	DET
esrj-80281	113	39	accuracy	accuracy	NOUN
esrj-80281	113	40	of	of	ADP
esrj-80281	113	41	the	the	DET
esrj-80281	113	42	image	image	NOUN
esrj-80281	113	43	classification	classification	NOUN
esrj-80281	113	44	results	result	NOUN
esrj-80281	113	45	of	of	ADP
esrj-80281	113	46	gram	gram	NOUN
esrj-80281	113	47	-	-	PUNCT
esrj-80281	113	48	schmidt	schmidt	NOUN
esrj-80281	113	49	fusion	fusion	NOUN
esrj-80281	113	50	was	be	AUX
esrj-80281	113	51	better	well	ADJ
esrj-80281	113	52	than	than	ADP
esrj-80281	113	53	that	that	PRON
esrj-80281	113	54	of	of	ADP
esrj-80281	113	55	pca	pca	PROPN
esrj-80281	113	56	and	and	CCONJ
esrj-80281	113	57	pansharp	pansharp	ADJ
esrj-80281	113	58	fusion	fusion	NOUN
esrj-80281	113	59	using	use	VERB
esrj-80281	113	60	knn	knn	PROPN
esrj-80281	113	61	classification	classification	NOUN
esrj-80281	113	62	algorithm	algorithm	NOUN
esrj-80281	113	63	,	,	PUNCT
esrj-80281	113	64	and	and	CCONJ
esrj-80281	113	65	the	the	DET
esrj-80281	113	66	gram	gram	NOUN
esrj-80281	113	67	-	-	PUNCT
esrj-80281	113	68	schmidt	schmidt	NOUN
esrj-80281	113	69	fusion	fusion	NOUN
esrj-80281	113	70	image	image	NOUN
esrj-80281	113	71	classification	classification	NOUN
esrj-80281	113	72	ratio	ratio	NOUN
esrj-80281	113	73	using	use	VERB
esrj-80281	113	74	knn	knn	PROPN
esrj-80281	113	75	and	and	CCONJ
esrj-80281	113	76	svm	svm	VERB
esrj-80281	113	77	classification	classification	NOUN
esrj-80281	113	78	algorithm	algorithm	NOUN
esrj-80281	113	79	other	other	ADJ
esrj-80281	113	80	fusion	fusion	NOUN
esrj-80281	113	81	effect	effect	NOUN
esrj-80281	113	82	was	be	AUX
esrj-80281	113	83	worse	bad	ADJ
esrj-80281	113	84	.	.	PUNCT
esrj-80281	114	1	above	above	ADP
esrj-80281	114	2	all	all	PRON
esrj-80281	114	3	,	,	PUNCT
esrj-80281	114	4	the	the	DET
esrj-80281	114	5	knn	knn	PROPN
esrj-80281	114	6	classification	classification	NOUN
esrj-80281	114	7	algorithm	algorithm	NOUN
esrj-80281	114	8	was	be	AUX
esrj-80281	114	9	most	most	ADV
esrj-80281	114	10	suitable	suitable	ADJ
esrj-80281	114	11	for	for	ADP
esrj-80281	114	12	gf-2	gf-2	ADJ
esrj-80281	114	13	fusion	fusion	NOUN
esrj-80281	114	14	images	image	NOUN
esrj-80281	114	15	after	after	ADP
esrj-80281	114	16	nndiffuse	nndiffuse	NOUN
esrj-80281	114	17	fusion	fusion	NOUN
esrj-80281	114	18	,	,	PUNCT
esrj-80281	114	19	and	and	CCONJ
esrj-80281	114	20	then	then	ADV
esrj-80281	114	21	the	the	DET
esrj-80281	114	22	random	random	ADJ
esrj-80281	114	23	trees	tree	NOUN
esrj-80281	114	24	classification	classification	NOUN
esrj-80281	114	25	algorithm	algorithm	NOUN
esrj-80281	114	26	table	table	NOUN
esrj-80281	114	27	1	1	NUM
esrj-80281	114	28	.	.	PUNCT
esrj-80281	115	1	the	the	DET
esrj-80281	115	2	quantitative	quantitative	ADJ
esrj-80281	115	3	evaluation	evaluation	NOUN
esrj-80281	115	4	of	of	ADP
esrj-80281	115	5	gf-2	gf-2	X
esrj-80281	115	6	remote	remote	ADJ
esrj-80281	115	7	sensing	sense	VERB
esrj-80281	115	8	image	image	NOUN
esrj-80281	115	9	data	data	NOUN
esrj-80281	115	10	image	image	NOUN
esrj-80281	115	11	type	type	NOUN
esrj-80281	115	12	mean	mean	VERB
esrj-80281	115	13	standard	standard	ADJ
esrj-80281	115	14	deviation	deviation	NOUN
esrj-80281	115	15	correlation	correlation	NOUN
esrj-80281	115	16	coefficient	coefficient	NOUN
esrj-80281	115	17	entropy	entropy	PROPN
esrj-80281	115	18	average	average	ADJ
esrj-80281	115	19	gradient	gradient	NOUN
esrj-80281	115	20	pca	pca	NOUN
esrj-80281	115	21	fusion	fusion	NOUN
esrj-80281	115	22	69	69	NUM
esrj-80281	115	23	.	.	PUNCT
esrj-80281	116	1	4886	4886	NUM
esrj-80281	116	2	51	51	NUM
esrj-80281	116	3	.	.	PUNCT
esrj-80281	117	1	1414	1414	NUM
esrj-80281	117	2	0	0	NUM
esrj-80281	117	3	.	.	NOUN
esrj-80281	117	4	8131	8131	NUM
esrj-80281	117	5	5	5	NUM
esrj-80281	117	6	.	.	SYM
esrj-80281	117	7	6661	6661	NUM
esrj-80281	117	8	6	6	NUM
esrj-80281	117	9	.	.	X
esrj-80281	117	10	9846	9846	NUM
esrj-80281	117	11	pansharp	pansharp	ADJ
esrj-80281	117	12	fusion	fusion	NOUN
esrj-80281	117	13	70	70	NUM
esrj-80281	117	14	.	.	PUNCT
esrj-80281	117	15	1184	1184	NUM
esrj-80281	117	16	65	65	NUM
esrj-80281	117	17	.	.	PUNCT
esrj-80281	118	1	2733	2733	NUM
esrj-80281	118	2	0	0	NUM
esrj-80281	118	3	.	.	X
esrj-80281	118	4	8909	8909	NUM
esrj-80281	118	5	6	6	NUM
esrj-80281	118	6	.	.	PUNCT
esrj-80281	118	7	2045	2045	NUM
esrj-80281	118	8	12	12	NUM
esrj-80281	118	9	.	.	PUNCT
esrj-80281	119	1	2928	2928	NUM
esrj-80281	119	2	gram	gram	NOUN
esrj-80281	119	3	-	-	PUNCT
esrj-80281	119	4	schmidt	schmidt	NOUN
esrj-80281	119	5	fusion	fusion	NOUN
esrj-80281	119	6	78	78	NUM
esrj-80281	119	7	.	.	PUNCT
esrj-80281	119	8	8974	8974	NUM
esrj-80281	119	9	69	69	NUM
esrj-80281	119	10	.	.	PUNCT
esrj-80281	119	11	8884	8884	NUM
esrj-80281	119	12	0	0	NUM
esrj-80281	119	13	.	.	X
esrj-80281	119	14	7597	7597	NUM
esrj-80281	119	15	6	6	NUM
esrj-80281	119	16	.	.	PUNCT
esrj-80281	119	17	2078	2078	NUM
esrj-80281	119	18	11	11	NUM
esrj-80281	119	19	.	.	PUNCT
esrj-80281	120	1	6054	6054	NUM
esrj-80281	120	2	nndiffus	nndiffus	NOUN
esrj-80281	120	3	fusion	fusion	NOUN
esrj-80281	120	4	66	66	NUM
esrj-80281	120	5	.	.	PUNCT
esrj-80281	120	6	9960	9960	NUM
esrj-80281	120	7	66	66	NUM
esrj-80281	120	8	.	.	PUNCT
esrj-80281	121	1	9960	9960	NUM
esrj-80281	121	2	0	0	NUM
esrj-80281	121	3	.	.	NOUN
esrj-80281	121	4	8751	8751	NUM
esrj-80281	121	5	6	6	NUM
esrj-80281	121	6	.	.	PUNCT
esrj-80281	121	7	1685	1685	NUM
esrj-80281	121	8	12	12	NUM
esrj-80281	121	9	.	.	PUNCT
esrj-80281	122	1	4659	4659	NUM
esrj-80281	122	2	application	application	NOUN
esrj-80281	122	3	of	of	ADP
esrj-80281	122	4	different	different	ADJ
esrj-80281	122	5	fusion	fusion	NOUN
esrj-80281	122	6	images	image	NOUN
esrj-80281	122	7	in	in	ADP
esrj-80281	122	8	urban	urban	ADJ
esrj-80281	122	9	terrain	terrain	NOUN
esrj-80281	122	10	information	information	NOUN
esrj-80281	122	11	extraction	extraction	NOUN
esrj-80281	122	12	the	the	DET
esrj-80281	122	13	object	object	NOUN
esrj-80281	122	14	-	-	PUNCT
esrj-80281	122	15	oriented	orient	VERB
esrj-80281	122	16	classification	classification	NOUN
esrj-80281	122	17	method	method	NOUN
esrj-80281	122	18	and	and	CCONJ
esrj-80281	122	19	results	result	VERB
esrj-80281	122	20	many	many	ADJ
esrj-80281	122	21	scholars	scholar	NOUN
esrj-80281	122	22	use	use	VERB
esrj-80281	122	23	object	object	NOUN
esrj-80281	122	24	-	-	PUNCT
esrj-80281	122	25	oriented	orient	VERB
esrj-80281	122	26	classification	classification	NOUN
esrj-80281	122	27	technologies	technology	NOUN
esrj-80281	122	28	to	to	PART
esrj-80281	122	29	do	do	VERB
esrj-80281	122	30	the	the	DET
esrj-80281	122	31	number	number	NOUN
esrj-80281	122	32	of	of	ADP
esrj-80281	122	33	work	work	NOUN
esrj-80281	122	34	in	in	ADP
esrj-80281	122	35	algorithm	algorithm	NOUN
esrj-80281	122	36	optimization	optimization	NOUN
esrj-80281	122	37	and	and	CCONJ
esrj-80281	122	38	interpretation(dong	interpretation(dong	PROPN
esrj-80281	122	39	,	,	PUNCT
esrj-80281	122	40	zang	zang	PROPN
esrj-80281	122	41	,	,	PUNCT
esrj-80281	122	42	wu	wu	PROPN
esrj-80281	122	43	&	&	CCONJ
esrj-80281	122	44	li	li	PROPN
esrj-80281	122	45	,	,	PUNCT
esrj-80281	122	46	2017	2017	NUM
esrj-80281	122	47	;	;	PUNCT
esrj-80281	122	48	wang	wang	PROPN
esrj-80281	122	49	&	&	CCONJ
esrj-80281	122	50	zhang	zhang	PROPN
esrj-80281	122	51	,	,	PUNCT
esrj-80281	122	52	2015	2015	NUM
esrj-80281	122	53	;	;	PUNCT
esrj-80281	122	54	yang	yang	PROPN
esrj-80281	122	55	,	,	PUNCT
esrj-80281	122	56	2016	2016	NUM
esrj-80281	122	57	;	;	PUNCT
esrj-80281	122	58	yang	yang	PROPN
esrj-80281	122	59	&	&	CCONJ
esrj-80281	122	60	ming	ming	PROPN
esrj-80281	122	61	,	,	PUNCT
esrj-80281	122	62	2016	2016	NUM
esrj-80281	122	63	;	;	PUNCT
esrj-80281	122	64	wang	wang	PROPN
esrj-80281	122	65	,	,	PUNCT
esrj-80281	122	66	meng	meng	PROPN
esrj-80281	122	67	,	,	PUNCT
esrj-80281	122	68	yang	yang	PROPN
esrj-80281	122	69	,	,	PUNCT
esrj-80281	122	70	yang	yang	PROPN
esrj-80281	122	71	&	&	CCONJ
esrj-80281	122	72	fang	fang	PROPN
esrj-80281	122	73	,	,	PUNCT
esrj-80281	122	74	2016	2016	NUM
esrj-80281	122	75	;	;	PUNCT
esrj-80281	122	76	jiang	jiang	PROPN
esrj-80281	122	77	&	&	CCONJ
esrj-80281	122	78	li	li	PROPN
esrj-80281	122	79	,	,	PUNCT
esrj-80281	122	80	2016	2016	NUM
esrj-80281	122	81	;	;	PUNCT
esrj-80281	122	82	zhao	zhao	X
esrj-80281	122	83	,	,	PUNCT
esrj-80281	122	84	2016	2016	NUM
esrj-80281	122	85	)	)	PUNCT
esrj-80281	122	86	.	.	PUNCT
esrj-80281	123	1	the	the	DET
esrj-80281	123	2	ecognition	ecognition	NOUN
esrj-80281	123	3	,	,	PUNCT
esrj-80281	123	4	a	a	DET
esrj-80281	123	5	good	good	ADJ
esrj-80281	123	6	object	object	NOUN
esrj-80281	123	7	-	-	PUNCT
esrj-80281	123	8	oriented	orient	VERB
esrj-80281	123	9	classification	classification	NOUN
esrj-80281	123	10	remote	remote	ADJ
esrj-80281	123	11	sensing	sense	VERB
esrj-80281	123	12	images	image	NOUN
esrj-80281	123	13	software	software	NOUN
esrj-80281	123	14	which	which	PRON
esrj-80281	123	15	is	be	AUX
esrj-80281	123	16	invented	invent	VERB
esrj-80281	123	17	by	by	ADP
esrj-80281	123	18	definiens	definien	NOUN
esrj-80281	123	19	imaging	imaging	NOUN
esrj-80281	123	20	corporation	corporation	NOUN
esrj-80281	123	21	,	,	PUNCT
esrj-80281	123	22	provides	provide	VERB
esrj-80281	123	23	many	many	ADJ
esrj-80281	123	24	object	object	NOUN
esrj-80281	123	25	-	-	PUNCT
esrj-80281	123	26	oriented	orient	VERB
esrj-80281	123	27	classification	classification	NOUN
esrj-80281	123	28	algorithms	algorithm	NOUN
esrj-80281	123	29	.	.	PUNCT
esrj-80281	124	1	this	this	DET
esrj-80281	124	2	study	study	NOUN
esrj-80281	124	3	uses	use	VERB
esrj-80281	124	4	knn	knn	PROPN
esrj-80281	124	5	(	(	PUNCT
esrj-80281	124	6	k	k	NOUN
esrj-80281	124	7	-	-	NOUN
esrj-80281	124	8	nearestneighbor	nearestneighbor	NOUN
esrj-80281	124	9	,	,	PUNCT
esrj-80281	124	10	knn	knn	PROPN
esrj-80281	124	11	)	)	PUNCT
esrj-80281	124	12	,	,	PUNCT
esrj-80281	124	13	svm	svm	PROPN
esrj-80281	124	14	(	(	PUNCT
esrj-80281	124	15	support	support	NOUN
esrj-80281	124	16	vector	vector	NOUN
esrj-80281	124	17	machine	machine	NOUN
esrj-80281	124	18	,	,	PUNCT
esrj-80281	124	19	svm	svm	PROPN
esrj-80281	124	20	)	)	PUNCT
esrj-80281	124	21	and	and	CCONJ
esrj-80281	124	22	random	random	ADJ
esrj-80281	124	23	tress	tress	NOUN
esrj-80281	124	24	object	object	NOUN
esrj-80281	124	25	-	-	PUNCT
esrj-80281	124	26	oriented	orient	VERB
esrj-80281	124	27	classification	classification	NOUN
esrj-80281	124	28	algorithms	algorithm	NOUN
esrj-80281	124	29	to	to	PART
esrj-80281	124	30	research	research	VERB
esrj-80281	124	31	different	different	ADJ
esrj-80281	124	32	gf-2	gf-2	ADV
esrj-80281	124	33	remote	remote	ADJ
esrj-80281	124	34	sensing	sensing	NOUN
esrj-80281	124	35	images	image	NOUN
esrj-80281	124	36	fusion	fusion	NOUN
esrj-80281	124	37	.	.	PUNCT
esrj-80281	125	1	knn	knn	PROPN
esrj-80281	125	2	classification	classification	NOUN
esrj-80281	125	3	algorithm	algorithm	PROPN
esrj-80281	125	4	knn	knn	PROPN
esrj-80281	125	5	algorithm	algorithm	PROPN
esrj-80281	125	6	is	be	AUX
esrj-80281	125	7	one	one	NUM
esrj-80281	125	8	of	of	ADP
esrj-80281	125	9	the	the	DET
esrj-80281	125	10	mature	mature	ADJ
esrj-80281	125	11	theory	theory	NOUN
esrj-80281	125	12	algorithm	algorithm	NOUN
esrj-80281	125	13	.	.	PUNCT
esrj-80281	126	1	it	it	PRON
esrj-80281	126	2	is	be	AUX
esrj-80281	126	3	similar	similar	ADJ
esrj-80281	126	4	with	with	ADP
esrj-80281	126	5	the	the	DET
esrj-80281	126	6	traditional	traditional	ADJ
esrj-80281	126	7	supervised	supervised	ADJ
esrj-80281	126	8	classification	classification	NOUN
esrj-80281	126	9	.	.	PUNCT
esrj-80281	127	1	calculating	calculate	VERB
esrj-80281	127	2	partitioning	partitioning	NOUN
esrj-80281	127	3	samples	sample	NOUN
esrj-80281	127	4	and	and	CCONJ
esrj-80281	127	5	training	training	NOUN
esrj-80281	127	6	samples	sample	NOUN
esrj-80281	127	7	in	in	ADP
esrj-80281	127	8	the	the	DET
esrj-80281	127	9	distances	distance	NOUN
esrj-80281	127	10	of	of	ADP
esrj-80281	127	11	special	special	ADJ
esrj-80281	127	12	feature	feature	NOUN
esrj-80281	127	13	spatial	spatial	ADJ
esrj-80281	127	14	to	to	PART
esrj-80281	127	15	determine	determine	VERB
esrj-80281	127	16	of	of	ADP
esrj-80281	127	17	partitioning	partition	VERB
esrj-80281	127	18	samples	sample	NOUN
esrj-80281	127	19	.	.	PUNCT
esrj-80281	128	1	these	these	DET
esrj-80281	128	2	partitioning	partitioning	NOUN
esrj-80281	128	3	samples	sample	NOUN
esrj-80281	128	4	will	will	AUX
esrj-80281	128	5	be	be	AUX
esrj-80281	128	6	determine	determine	NOUN
esrj-80281	128	7	to	to	ADP
esrj-80281	128	8	classes	class	NOUN
esrj-80281	128	9	which	which	PRON
esrj-80281	128	10	have	have	VERB
esrj-80281	128	11	the	the	DET
esrj-80281	128	12	shortest	short	ADJ
esrj-80281	128	13	distances	distance	NOUN
esrj-80281	128	14	(	(	PUNCT
esrj-80281	128	15	yang	yang	PROPN
esrj-80281	128	16	,	,	PUNCT
esrj-80281	128	17	2016	2016	NUM
esrj-80281	128	18	)	)	PUNCT
esrj-80281	128	19	.	.	PUNCT
esrj-80281	129	1	the	the	DET
esrj-80281	129	2	basic	basic	ADJ
esrj-80281	129	3	class	class	NOUN
esrj-80281	129	4	unit	unit	NOUN
esrj-80281	129	5	of	of	ADP
esrj-80281	129	6	k	k	PROPN
esrj-80281	129	7	-	-	PUNCT
esrj-80281	129	8	nearest	near	ADJ
esrj-80281	129	9	neighbor	neighbor	NOUN
esrj-80281	129	10	algorithm	algorithm	NOUN
esrj-80281	129	11	is	be	AUX
esrj-80281	129	12	object	object	NOUN
esrj-80281	129	13	images	image	NOUN
esrj-80281	129	14	,	,	PUNCT
esrj-80281	129	15	which	which	PRON
esrj-80281	129	16	is	be	AUX
esrj-80281	129	17	different	different	ADJ
esrj-80281	129	18	from	from	ADP
esrj-80281	129	19	the	the	DET
esrj-80281	129	20	traditional	traditional	ADJ
esrj-80281	129	21	supervised	supervised	ADJ
esrj-80281	129	22	classification	classification	NOUN
esrj-80281	129	23	.	.	PUNCT
esrj-80281	130	1	when	when	SCONJ
esrj-80281	130	2	determine	determine	VERB
esrj-80281	130	3	partitioning	partition	VERB
esrj-80281	130	4	objects	object	NOUN
esrj-80281	130	5	by	by	ADP
esrj-80281	130	6	knn	knn	PROPN
esrj-80281	130	7	method	method	PROPN
esrj-80281	130	8	,	,	PUNCT
esrj-80281	130	9	it	it	PRON
esrj-80281	130	10	is	be	AUX
esrj-80281	130	11	useful	useful	ADJ
esrj-80281	130	12	to	to	PART
esrj-80281	130	13	find	find	VERB
esrj-80281	130	14	limited	limited	ADJ
esrj-80281	130	15	closed	closed	ADJ
esrj-80281	130	16	samples	sample	NOUN
esrj-80281	130	17	.	.	PUNCT
esrj-80281	131	1	the	the	DET
esrj-80281	131	2	results	result	NOUN
esrj-80281	131	3	are	be	AUX
esrj-80281	131	4	related	relate	VERB
esrj-80281	131	5	to	to	ADP
esrj-80281	131	6	surrounding	surround	VERB
esrj-80281	131	7	samples	sample	NOUN
esrj-80281	131	8	’	'	PUNCT
esrj-80281	131	9	distances	distance	NOUN
esrj-80281	131	10	and	and	CCONJ
esrj-80281	131	11	numbers	number	NOUN
esrj-80281	131	12	.	.	PUNCT
esrj-80281	132	1	therefore	therefore	ADV
esrj-80281	132	2	,	,	PUNCT
esrj-80281	132	3	it	it	PRON
esrj-80281	132	4	is	be	AUX
esrj-80281	132	5	more	more	ADV
esrj-80281	132	6	effective	effective	ADJ
esrj-80281	132	7	for	for	ADP
esrj-80281	132	8	crossover	crossover	NOUN
esrj-80281	132	9	or	or	CCONJ
esrj-80281	132	10	overlapping	overlap	VERB
esrj-80281	132	11	objects	object	NOUN
esrj-80281	132	12	to	to	PART
esrj-80281	132	13	be	be	AUX
esrj-80281	132	14	classified	classify	VERB
esrj-80281	132	15	,	,	PUNCT
esrj-80281	132	16	and	and	CCONJ
esrj-80281	132	17	there	there	PRON
esrj-80281	132	18	is	be	VERB
esrj-80281	132	19	no	no	DET
esrj-80281	132	20	need	need	NOUN
esrj-80281	132	21	to	to	PART
esrj-80281	132	22	estimate	estimate	VERB
esrj-80281	132	23	parameters	parameter	NOUN
esrj-80281	132	24	in	in	ADP
esrj-80281	132	25	the	the	DET
esrj-80281	132	26	application	application	NOUN
esrj-80281	132	27	process	process	NOUN
esrj-80281	132	28	.	.	PUNCT
esrj-80281	133	1	it	it	PRON
esrj-80281	133	2	is	be	AUX
esrj-80281	133	3	easy	easy	ADJ
esrj-80281	133	4	to	to	PART
esrj-80281	133	5	implement	implement	VERB
esrj-80281	133	6	and	and	CCONJ
esrj-80281	133	7	suitable	suitable	ADJ
esrj-80281	133	8	for	for	ADP
esrj-80281	133	9	multi	multi	ADJ
esrj-80281	133	10	-	-	ADJ
esrj-80281	133	11	classification	classification	ADJ
esrj-80281	133	12	problem	problem	NOUN
esrj-80281	133	13	(	(	PUNCT
esrj-80281	133	14	chen	chen	PROPN
esrj-80281	133	15	,	,	PUNCT
esrj-80281	133	16	shao	shao	PROPN
esrj-80281	133	17	,	,	PUNCT
esrj-80281	133	18	mei	mei	PROPN
esrj-80281	133	19	,	,	PUNCT
esrj-80281	133	20	deng	deng	PROPN
esrj-80281	133	21	&	&	CCONJ
esrj-80281	133	22	hou	hou	PROPN
esrj-80281	133	23	,	,	PUNCT
esrj-80281	133	24	2016	2016	NUM
esrj-80281	133	25	)	)	PUNCT
esrj-80281	133	26	.	.	PUNCT
esrj-80281	134	1	based	base	VERB
esrj-80281	134	2	on	on	ADP
esrj-80281	134	3	the	the	DET
esrj-80281	134	4	knn	knn	PROPN
esrj-80281	134	5	classification	classification	NOUN
esrj-80281	134	6	algorithm	algorithm	NOUN
esrj-80281	134	7	,	,	PUNCT
esrj-80281	134	8	the	the	DET
esrj-80281	134	9	classification	classification	NOUN
esrj-80281	134	10	results	result	NOUN
esrj-80281	134	11	of	of	ADP
esrj-80281	134	12	four	four	NUM
esrj-80281	134	13	different	different	ADJ
esrj-80281	134	14	types	type	NOUN
esrj-80281	134	15	of	of	ADP
esrj-80281	134	16	fusion	fusion	NOUN
esrj-80281	134	17	images	image	NOUN
esrj-80281	134	18	in	in	ADP
esrj-80281	134	19	the	the	DET
esrj-80281	134	20	study	study	NOUN
esrj-80281	134	21	area	area	NOUN
esrj-80281	134	22	are	be	AUX
esrj-80281	134	23	shown	show	VERB
esrj-80281	134	24	in	in	ADP
esrj-80281	134	25	figure	figure	NOUN
esrj-80281	134	26	3	3	NUM
esrj-80281	134	27	.	.	PUNCT
esrj-80281	135	1	svm	svm	ADJ
esrj-80281	135	2	classification	classification	NOUN
esrj-80281	135	3	algorithm	algorithm	NOUN
esrj-80281	135	4	svm	svm	NOUN
esrj-80281	135	5	is	be	AUX
esrj-80281	135	6	one	one	NUM
esrj-80281	135	7	of	of	ADP
esrj-80281	135	8	machine	machine	NOUN
esrj-80281	135	9	learning	learn	VERB
esrj-80281	135	10	classification	classification	NOUN
esrj-80281	135	11	algorithm	algorithm	NOUN
esrj-80281	135	12	in	in	ADP
esrj-80281	135	13	supervised	supervised	ADJ
esrj-80281	135	14	classification	classification	NOUN
esrj-80281	135	15	.	.	PUNCT
esrj-80281	136	1	its	its	PRON
esrj-80281	136	2	main	main	ADJ
esrj-80281	136	3	goal	goal	NOUN
esrj-80281	136	4	is	be	AUX
esrj-80281	136	5	to	to	PART
esrj-80281	136	6	project	project	VERB
esrj-80281	136	7	the	the	DET
esrj-80281	136	8	sample	sample	NOUN
esrj-80281	136	9	through	through	ADP
esrj-80281	136	10	the	the	DET
esrj-80281	136	11	non	non	ADJ
esrj-80281	136	12	-	-	ADJ
esrj-80281	136	13	linear	linear	ADJ
esrj-80281	136	14	mapping	mapping	NOUN
esrj-80281	136	15	to	to	ADP
esrj-80281	136	16	the	the	DET
esrj-80281	136	17	high	high	ADV
esrj-80281	136	18	-	-	PUNCT
esrj-80281	136	19	dimensional	dimensional	ADJ
esrj-80281	136	20	feature	feature	NOUN
esrj-80281	136	21	space	space	NOUN
esrj-80281	136	22	,	,	PUNCT
esrj-80281	136	23	with	with	ADP
esrj-80281	136	24	the	the	DET
esrj-80281	136	25	minimization	minimization	NOUN
esrj-80281	136	26	structural	structural	ADJ
esrj-80281	136	27	risk	risk	NOUN
esrj-80281	136	28	principle	principle	NOUN
esrj-80281	136	29	.	.	PUNCT
esrj-80281	137	1	vapnik	vapnik	ADJ
esrj-80281	137	2	-	-	PUNCT
esrj-80281	137	3	chervonenkis	chervonenki	NOUN
esrj-80281	137	4	dimension	dimension	NOUN
esrj-80281	137	5	which	which	PRON
esrj-80281	137	6	describes	describe	VERB
esrj-80281	137	7	the	the	DET
esrj-80281	137	8	function	function	NOUN
esrj-80281	137	9	sets	set	NOUN
esrj-80281	137	10	or	or	CCONJ
esrj-80281	137	11	learns	learn	VERB
esrj-80281	137	12	the	the	DET
esrj-80281	137	13	complexity	complexity	NOUN
esrj-80281	137	14	of	of	ADP
esrj-80281	137	15	the	the	DET
esrj-80281	137	16	machine	machine	NOUN
esrj-80281	137	17	,	,	PUNCT
esrj-80281	137	18	minimize	minimize	VERB
esrj-80281	137	19	the	the	DET
esrj-80281	137	20	classification	classification	NOUN
esrj-80281	137	21	of	of	ADP
esrj-80281	137	22	the	the	DET
esrj-80281	137	23	super	super	NOUN
esrj-80281	137	24	-	-	NOUN
esrj-80281	137	25	plane	plane	NOUN
esrj-80281	137	26	as	as	ADP
esrj-80281	137	27	a	a	DET
esrj-80281	137	28	classification	classification	NOUN
esrj-80281	137	29	surface	surface	NOUN
esrj-80281	137	30	,	,	PUNCT
esrj-80281	137	31	making	make	VERB
esrj-80281	137	32	the	the	DET
esrj-80281	137	33	classification	classification	NOUN
esrj-80281	137	34	of	of	ADP
esrj-80281	137	35	the	the	DET
esrj-80281	137	36	upper	upper	ADJ
esrj-80281	137	37	bound	bound	NOUN
esrj-80281	137	38	of	of	ADP
esrj-80281	137	39	the	the	DET
esrj-80281	137	40	risk	risk	NOUN
esrj-80281	137	41	minimization	minimization	NOUN
esrj-80281	137	42	,	,	PUNCT
esrj-80281	137	43	so	so	SCONJ
esrj-80281	137	44	that	that	SCONJ
esrj-80281	137	45	the	the	DET
esrj-80281	137	46	classification	classification	NOUN
esrj-80281	137	47	algorithm	algorithm	NOUN
esrj-80281	137	48	has	have	VERB
esrj-80281	137	49	the	the	DET
esrj-80281	137	50	best	good	ADJ
esrj-80281	137	51	ability	ability	NOUN
esrj-80281	137	52	to	to	PART
esrj-80281	137	53	be	be	AUX
esrj-80281	137	54	promoted	promote	VERB
esrj-80281	137	55	(	(	PUNCT
esrj-80281	137	56	liu	liu	PROPN
esrj-80281	137	57	,	,	PUNCT
esrj-80281	137	58	2016	2016	NUM
esrj-80281	137	59	)	)	PUNCT
esrj-80281	137	60	.	.	PUNCT
esrj-80281	138	1	svm	svm	PROPN
esrj-80281	138	2	is	be	AUX
esrj-80281	138	3	the	the	DET
esrj-80281	138	4	most	most	ADV
esrj-80281	138	5	important	important	ADJ
esrj-80281	138	6	method	method	NOUN
esrj-80281	138	7	in	in	ADP
esrj-80281	138	8	statistics	statistic	NOUN
esrj-80281	138	9	pattern	pattern	NOUN
esrj-80281	138	10	recognition	recognition	NOUN
esrj-80281	138	11	.	.	PUNCT
esrj-80281	139	1	at	at	ADP
esrj-80281	139	2	first	first	ADV
esrj-80281	139	3	it	it	PRON
esrj-80281	139	4	is	be	AUX
esrj-80281	139	5	come	come	VERB
esrj-80281	139	6	out	out	ADP
esrj-80281	139	7	through	through	ADP
esrj-80281	139	8	linearly	linearly	ADV
esrj-80281	139	9	separable	separable	ADJ
esrj-80281	139	10	167optimization	167optimization	PROPN
esrj-80281	139	11	of	of	ADP
esrj-80281	139	12	fusion	fusion	NOUN
esrj-80281	139	13	method	method	NOUN
esrj-80281	139	14	for	for	ADP
esrj-80281	139	15	gf-2	gf-2	X
esrj-80281	139	16	satellite	satellite	PROPN
esrj-80281	139	17	remote	remote	ADJ
esrj-80281	139	18	sensing	sensing	NOUN
esrj-80281	139	19	images	image	NOUN
esrj-80281	139	20	based	base	VERB
esrj-80281	139	21	on	on	ADP
esrj-80281	139	22	the	the	DET
esrj-80281	139	23	classification	classification	NOUN
esrj-80281	139	24	effect	effect	NOUN
esrj-80281	139	25	figure	figure	NOUN
esrj-80281	139	26	3	3	NUM
esrj-80281	139	27	.	.	PUNCT
esrj-80281	140	1	knn	knn	PROPN
esrj-80281	140	2	classification	classification	NOUN
esrj-80281	140	3	results	result	NOUN
esrj-80281	140	4	of	of	ADP
esrj-80281	140	5	four	four	NUM
esrj-80281	140	6	different	different	ADJ
esrj-80281	140	7	fusion	fusion	NOUN
esrj-80281	140	8	images	image	NOUN
esrj-80281	140	9	figure	figure	NOUN
esrj-80281	140	10	4	4	NUM
esrj-80281	140	11	.	.	PUNCT
esrj-80281	141	1	svm	svm	ADJ
esrj-80281	141	2	classification	classification	NOUN
esrj-80281	141	3	results	result	NOUN
esrj-80281	141	4	of	of	ADP
esrj-80281	141	5	four	four	NUM
esrj-80281	141	6	different	different	ADJ
esrj-80281	141	7	fusion	fusion	NOUN
esrj-80281	141	8	images	image	NOUN
esrj-80281	141	9	168	168	NUM
esrj-80281	141	10	jintong	jintong	ADP
esrj-80281	141	11	ren	ren	PROPN
esrj-80281	141	12	,	,	PUNCT
esrj-80281	141	13	wunian	wunian	PROPN
esrj-80281	141	14	yang	yang	PROPN
esrj-80281	141	15	,	,	PUNCT
esrj-80281	141	16	xin	xin	PROPN
esrj-80281	141	17	yang	yang	PROPN
esrj-80281	141	18	,	,	PUNCT
esrj-80281	141	19	xiaoyu	xiaoyu	PROPN
esrj-80281	141	20	deng	deng	PROPN
esrj-80281	141	21	,	,	PUNCT
esrj-80281	141	22	he	he	PROPN
esrj-80281	141	23	zhao	zhao	PROPN
esrj-80281	141	24	,	,	PUNCT
esrj-80281	141	25	fang	fang	PROPN
esrj-80281	141	26	wang	wang	PROPN
esrj-80281	141	27	,	,	PUNCT
esrj-80281	141	28	lei	lei	PROPN
esrj-80281	141	29	wang	wang	PROPN
esrj-80281	141	30	figure	figure	VERB
esrj-80281	141	31	5	5	NUM
esrj-80281	141	32	.	.	PUNCT
esrj-80281	142	1	random	random	ADJ
esrj-80281	142	2	trees	tree	NOUN
esrj-80281	142	3	classification	classification	NOUN
esrj-80281	142	4	results	result	NOUN
esrj-80281	142	5	of	of	ADP
esrj-80281	142	6	four	four	NUM
esrj-80281	142	7	different	different	ADJ
esrj-80281	142	8	fusion	fusion	NOUN
esrj-80281	142	9	images	image	NOUN
esrj-80281	142	10	table	table	NOUN
esrj-80281	142	11	2	2	NUM
esrj-80281	142	12	.	.	PUNCT
esrj-80281	142	13	classification	classification	NOUN
esrj-80281	142	14	accuracy	accuracy	NOUN
esrj-80281	142	15	of	of	ADP
esrj-80281	142	16	gf-2	gf-2	ADJ
esrj-80281	142	17	fusion	fusion	NOUN
esrj-80281	142	18	images	image	NOUN
esrj-80281	142	19	based	base	VERB
esrj-80281	142	20	on	on	ADP
esrj-80281	142	21	different	different	ADJ
esrj-80281	142	22	classification	classification	NOUN
esrj-80281	142	23	algorithms	algorithm	NOUN
esrj-80281	142	24	fusion	fusion	NOUN
esrj-80281	142	25	algorithm	algorithm	NOUN
esrj-80281	142	26	knn	knn	PROPN
esrj-80281	142	27	svm	svm	VERB
esrj-80281	142	28	random	random	ADJ
esrj-80281	142	29	trees	tree	NOUN
esrj-80281	142	30	overall	overall	ADJ
esrj-80281	142	31	classification	classification	NOUN
esrj-80281	142	32	accuracy	accuracy	NOUN
esrj-80281	142	33	%	%	NOUN
esrj-80281	142	34	kappa	kappa	PROPN
esrj-80281	142	35	coefficient	coefficient	VERB
esrj-80281	142	36	overall	overall	ADJ
esrj-80281	142	37	classification	classification	NOUN
esrj-80281	142	38	accuracy	accuracy	NOUN
esrj-80281	142	39	%	%	NOUN
esrj-80281	142	40	kappa	kappa	PROPN
esrj-80281	142	41	coefficient	coefficient	VERB
esrj-80281	142	42	overall	overall	ADJ
esrj-80281	142	43	classification	classification	NOUN
esrj-80281	142	44	accuracy	accuracy	NOUN
esrj-80281	142	45	%	%	NOUN
esrj-80281	142	46	kappa	kappa	PROPN
esrj-80281	142	47	coefficient	coefficient	PROPN
esrj-80281	142	48	pca	pca	PROPN
esrj-80281	143	1	90.77	90.77	NUM
esrj-80281	143	2	0.8850	0.8850	NUM
esrj-80281	143	3	73.23	73.23	NUM
esrj-80281	143	4	0.6642	0.6642	NUM
esrj-80281	143	5	90.46	90.46	NUM
esrj-80281	143	6	0.8813	0.8813	NUM
esrj-80281	143	7	gram	gram	NOUN
esrj-80281	143	8	-	-	PUNCT
esrj-80281	143	9	schmidt	schmidt	PROPN
esrj-80281	143	10	88.92	88.92	NUM
esrj-80281	143	11	0.8620	0.8620	NUM
esrj-80281	143	12	74.77	74.77	NUM
esrj-80281	143	13	0.6849	0.6849	NUM
esrj-80281	143	14	90.77	90.77	NUM
esrj-80281	143	15	0.8851	0.8851	NUM
esrj-80281	143	16	pansharp	pansharp	ADJ
esrj-80281	143	17	90.77	90.77	NUM
esrj-80281	143	18	0.8850	0.8850	NUM
esrj-80281	143	19	76.31	76.31	NUM
esrj-80281	143	20	0.7031	0.7031	NUM
esrj-80281	143	21	90.46	90.46	NUM
esrj-80281	143	22	0.8812	0.8812	NUM
esrj-80281	143	23	nndiffuse	nndiffuse	VERB
esrj-80281	143	24	91.69	91.69	NUM
esrj-80281	143	25	0.8964	0.8964	NUM
esrj-80281	143	26	73.85	73.85	NUM
esrj-80281	143	27	0.6710	0.6710	NUM
esrj-80281	143	28	91.38	91.38	NUM
esrj-80281	143	29	0.8926	0.8926	NUM
esrj-80281	143	30	after	after	SCONJ
esrj-80281	143	31	nndiffuse	nndiffuse	NOUN
esrj-80281	143	32	fusion	fusion	NOUN
esrj-80281	143	33	was	be	AUX
esrj-80281	143	34	applied	apply	VERB
esrj-80281	143	35	.	.	PUNCT
esrj-80281	144	1	for	for	ADP
esrj-80281	144	2	these	these	DET
esrj-80281	144	3	four	four	NUM
esrj-80281	144	4	fusion	fusion	NOUN
esrj-80281	144	5	algorithms	algorithm	NOUN
esrj-80281	144	6	,	,	PUNCT
esrj-80281	144	7	the	the	DET
esrj-80281	144	8	svm	svm	ADJ
esrj-80281	144	9	classification	classification	NOUN
esrj-80281	144	10	algorithm	algorithm	NOUN
esrj-80281	144	11	after	after	SCONJ
esrj-80281	144	12	the	the	DET
esrj-80281	144	13	pca	pca	NOUN
esrj-80281	144	14	fusion	fusion	NOUN
esrj-80281	144	15	was	be	AUX
esrj-80281	144	16	the	the	DET
esrj-80281	144	17	least	least	ADV
esrj-80281	144	18	useful	useful	ADJ
esrj-80281	144	19	method	method	NOUN
esrj-80281	144	20	for	for	ADP
esrj-80281	144	21	urban	urban	ADJ
esrj-80281	144	22	ground	ground	NOUN
esrj-80281	144	23	information	information	NOUN
esrj-80281	144	24	extraction	extraction	NOUN
esrj-80281	144	25	.	.	PUNCT
esrj-80281	145	1	conclusion	conclusion	NOUN
esrj-80281	145	2	pca	pca	NOUN
esrj-80281	145	3	fusion	fusion	NOUN
esrj-80281	145	4	,	,	PUNCT
esrj-80281	145	5	pansharp	pansharp	ADJ
esrj-80281	145	6	fusion	fusion	NOUN
esrj-80281	145	7	,	,	PUNCT
esrj-80281	145	8	gram	gram	NOUN
esrj-80281	145	9	-	-	PUNCT
esrj-80281	145	10	schmidt	schmidt	NOUN
esrj-80281	145	11	fusion	fusion	NOUN
esrj-80281	145	12	and	and	CCONJ
esrj-80281	145	13	nndiffuse	nndiffuse	NOUN
esrj-80281	145	14	fusion	fusion	NOUN
esrj-80281	145	15	were	be	AUX
esrj-80281	145	16	applied	apply	VERB
esrj-80281	145	17	to	to	ADP
esrj-80281	145	18	gf-2	gf-2	X
esrj-80281	145	19	satellite	satellite	PROPN
esrj-80281	145	20	remote	remote	ADJ
esrj-80281	145	21	sensing	sensing	NOUN
esrj-80281	145	22	images	image	NOUN
esrj-80281	145	23	data	datum	NOUN
esrj-80281	145	24	to	to	PART
esrj-80281	145	25	acquired	acquire	VERB
esrj-80281	145	26	different	different	ADJ
esrj-80281	145	27	fusion	fusion	NOUN
esrj-80281	145	28	results	result	NOUN
esrj-80281	145	29	,	,	PUNCT
esrj-80281	145	30	and	and	CCONJ
esrj-80281	145	31	then	then	ADV
esrj-80281	145	32	subjective	subjective	ADJ
esrj-80281	145	33	qualitative	qualitative	ADJ
esrj-80281	145	34	evaluation	evaluation	NOUN
esrj-80281	145	35	and	and	CCONJ
esrj-80281	145	36	objective	objective	ADJ
esrj-80281	145	37	qualitative	qualitative	ADJ
esrj-80281	145	38	evaluation	evaluation	NOUN
esrj-80281	145	39	had	have	AUX
esrj-80281	145	40	be	be	AUX
esrj-80281	145	41	done	do	VERB
esrj-80281	145	42	to	to	PART
esrj-80281	145	43	estimate	estimate	VERB
esrj-80281	145	44	results	result	NOUN
esrj-80281	145	45	.	.	PUNCT
esrj-80281	146	1	the	the	DET
esrj-80281	146	2	knn	knn	PROPN
esrj-80281	146	3	,	,	PUNCT
esrj-80281	146	4	svm	svm	ADJ
esrj-80281	146	5	and	and	CCONJ
esrj-80281	146	6	random	random	ADJ
esrj-80281	146	7	trees	tree	NOUN
esrj-80281	146	8	classifier	classifier	NOUN
esrj-80281	146	9	algorithms	algorithm	NOUN
esrj-80281	146	10	which	which	PRON
esrj-80281	146	11	are	be	AUX
esrj-80281	146	12	based	base	VERB
esrj-80281	146	13	on	on	ADP
esrj-80281	146	14	the	the	DET
esrj-80281	146	15	machine	machine	NOUN
esrj-80281	146	16	learning	learn	VERB
esrj-80281	146	17	algorithm	algorithm	NOUN
esrj-80281	146	18	in	in	ADP
esrj-80281	146	19	ecognition	ecognition	NOUN
esrj-80281	146	20	object	object	NOUN
esrj-80281	146	21	oriented	orient	VERB
esrj-80281	146	22	software	software	NOUN
esrj-80281	146	23	were	be	AUX
esrj-80281	146	24	used	use	VERB
esrj-80281	146	25	to	to	PART
esrj-80281	146	26	classify	classify	VERB
esrj-80281	146	27	the	the	DET
esrj-80281	146	28	four	four	NUM
esrj-80281	146	29	different	different	ADJ
esrj-80281	146	30	fusion	fusion	NOUN
esrj-80281	146	31	effect	effect	NOUN
esrj-80281	146	32	images	image	NOUN
esrj-80281	146	33	and	and	CCONJ
esrj-80281	146	34	evaluated	evaluate	VERB
esrj-80281	146	35	the	the	DET
esrj-80281	146	36	accuracy	accuracy	NOUN
esrj-80281	146	37	of	of	ADP
esrj-80281	146	38	the	the	DET
esrj-80281	146	39	classification	classification	NOUN
esrj-80281	146	40	results	result	NOUN
esrj-80281	146	41	.	.	PUNCT
esrj-80281	147	1	combined	combine	VERB
esrj-80281	147	2	with	with	ADP
esrj-80281	147	3	the	the	DET
esrj-80281	147	4	above	above	ADJ
esrj-80281	147	5	research	research	NOUN
esrj-80281	147	6	work	work	NOUN
esrj-80281	147	7	,	,	PUNCT
esrj-80281	147	8	here	here	ADV
esrj-80281	147	9	are	be	AUX
esrj-80281	147	10	some	some	DET
esrj-80281	147	11	conclusions	conclusion	NOUN
esrj-80281	147	12	:	:	PUNCT
esrj-80281	147	13	(	(	PUNCT
esrj-80281	147	14	1	1	X
esrj-80281	147	15	)	)	PUNCT
esrj-80281	147	16	for	for	ADP
esrj-80281	147	17	the	the	DET
esrj-80281	147	18	fusion	fusion	NOUN
esrj-80281	147	19	images	image	NOUN
esrj-80281	147	20	quality	quality	NOUN
esrj-80281	147	21	after	after	ADP
esrj-80281	147	22	these	these	DET
esrj-80281	147	23	fusion	fusion	NOUN
esrj-80281	147	24	methods	method	NOUN
esrj-80281	147	25	:	:	PUNCT
esrj-80281	147	26	from	from	ADP
esrj-80281	147	27	the	the	DET
esrj-80281	147	28	subjective	subjective	ADJ
esrj-80281	147	29	qualitative	qualitative	ADJ
esrj-80281	147	30	evaluation	evaluation	NOUN
esrj-80281	147	31	,	,	PUNCT
esrj-80281	147	32	it	it	PRON
esrj-80281	147	33	could	could	AUX
esrj-80281	147	34	be	be	AUX
esrj-80281	147	35	seen	see	VERB
esrj-80281	147	36	that	that	SCONJ
esrj-80281	147	37	the	the	DET
esrj-80281	147	38	best	good	ADJ
esrj-80281	147	39	performance	performance	NOUN
esrj-80281	147	40	of	of	ADP
esrj-80281	147	41	the	the	DET
esrj-80281	147	42	visual	visual	ADJ
esrj-80281	147	43	effect	effect	NOUN
esrj-80281	147	44	was	be	AUX
esrj-80281	147	45	pansharp	pansharp	ADJ
esrj-80281	147	46	fusion	fusion	NOUN
esrj-80281	147	47	image	image	NOUN
esrj-80281	147	48	,	,	PUNCT
esrj-80281	147	49	followed	follow	VERB
esrj-80281	147	50	by	by	ADP
esrj-80281	147	51	nndiffuse	nndiffuse	NOUN
esrj-80281	147	52	fusion	fusion	NOUN
esrj-80281	147	53	,	,	PUNCT
esrj-80281	147	54	pca	pca	NOUN
esrj-80281	147	55	fusion	fusion	NOUN
esrj-80281	147	56	,	,	PUNCT
esrj-80281	147	57	gram	gram	NOUN
esrj-80281	147	58	-	-	PUNCT
esrj-80281	147	59	schmidt	schmidt	NOUN
esrj-80281	147	60	fusion	fusion	NOUN
esrj-80281	147	61	performance	performance	NOUN
esrj-80281	147	62	was	be	AUX
esrj-80281	147	63	the	the	DET
esrj-80281	147	64	worst	bad	ADJ
esrj-80281	147	65	.	.	PUNCT
esrj-80281	148	1	from	from	ADP
esrj-80281	148	2	the	the	DET
esrj-80281	148	3	objective	objective	ADJ
esrj-80281	148	4	quantitative	quantitative	ADJ
esrj-80281	148	5	evaluation	evaluation	NOUN
esrj-80281	148	6	,	,	PUNCT
esrj-80281	148	7	it	it	PRON
esrj-80281	148	8	is	be	AUX
esrj-80281	148	9	obviously	obviously	ADV
esrj-80281	148	10	that	that	SCONJ
esrj-80281	148	11	the	the	DET
esrj-80281	148	12	mean	mean	ADJ
esrj-80281	148	13	value	value	NOUN
esrj-80281	148	14	of	of	ADP
esrj-80281	148	15	gram	gram	NOUN
esrj-80281	148	16	-	-	PUNCT
esrj-80281	148	17	schmidt	schmidt	NOUN
esrj-80281	148	18	fusion	fusion	NOUN
esrj-80281	148	19	was	be	AUX
esrj-80281	148	20	the	the	DET
esrj-80281	148	21	best	good	ADJ
esrj-80281	148	22	,	,	PUNCT
esrj-80281	148	23	the	the	DET
esrj-80281	148	24	brightness	brightness	NOUN
esrj-80281	148	25	information	information	NOUN
esrj-80281	148	26	was	be	AUX
esrj-80281	148	27	the	the	DET
esrj-80281	148	28	best	good	ADJ
esrj-80281	148	29	,	,	PUNCT
esrj-80281	148	30	the	the	DET
esrj-80281	148	31	information	information	NOUN
esrj-80281	148	32	entropy	entropy	NOUN
esrj-80281	148	33	was	be	AUX
esrj-80281	148	34	the	the	DET
esrj-80281	148	35	largest	large	ADJ
esrj-80281	148	36	,	,	PUNCT
esrj-80281	148	37	and	and	CCONJ
esrj-80281	148	38	the	the	DET
esrj-80281	148	39	information	information	NOUN
esrj-80281	148	40	was	be	AUX
esrj-80281	148	41	the	the	DET
esrj-80281	148	42	highest	high	ADJ
esrj-80281	148	43	after	after	ADP
esrj-80281	148	44	fusion	fusion	NOUN
esrj-80281	148	45	.	.	PUNCT
esrj-80281	149	1	pansharp	pansharp	ADJ
esrj-80281	149	2	fusion	fusion	NOUN
esrj-80281	149	3	had	have	VERB
esrj-80281	149	4	the	the	DET
esrj-80281	149	5	strongest	strong	ADJ
esrj-80281	149	6	correlation	correlation	NOUN
esrj-80281	149	7	with	with	ADP
esrj-80281	149	8	the	the	DET
esrj-80281	149	9	original	original	ADJ
esrj-80281	149	10	multi	multi	ADJ
esrj-80281	149	11	-	-	ADJ
esrj-80281	149	12	spectral	spectral	ADJ
esrj-80281	149	13	image	image	NOUN
esrj-80281	149	14	,	,	PUNCT
esrj-80281	149	15	nndiffuse	nndiffuse	NOUN
esrj-80281	149	16	fusion	fusion	NOUN
esrj-80281	149	17	and	and	CCONJ
esrj-80281	149	18	the	the	DET
esrj-80281	149	19	quantitative	quantitative	ADJ
esrj-80281	149	20	evaluation	evaluation	NOUN
esrj-80281	149	21	indexes	index	NOUN
esrj-80281	149	22	of	of	ADP
esrj-80281	149	23	pca	pca	NOUN
esrj-80281	149	24	fusion	fusion	NOUN
esrj-80281	149	25	images	image	NOUN
esrj-80281	149	26	were	be	AUX
esrj-80281	149	27	lower	low	ADJ
esrj-80281	149	28	than	than	ADP
esrj-80281	149	29	the	the	DET
esrj-80281	149	30	other	other	ADJ
esrj-80281	149	31	three	three	NUM
esrj-80281	149	32	fusion	fusion	NOUN
esrj-80281	149	33	effects	effect	NOUN
esrj-80281	149	34	,	,	PUNCT
esrj-80281	149	35	and	and	CCONJ
esrj-80281	149	36	the	the	DET
esrj-80281	149	37	quantitative	quantitative	ADJ
esrj-80281	149	38	evaluation	evaluation	NOUN
esrj-80281	149	39	effect	effect	NOUN
esrj-80281	149	40	was	be	AUX
esrj-80281	149	41	the	the	DET
esrj-80281	149	42	worst	bad	ADJ
esrj-80281	149	43	.	.	PUNCT
esrj-80281	150	1	(	(	PUNCT
esrj-80281	150	2	2	2	X
esrj-80281	150	3	)	)	PUNCT
esrj-80281	150	4	for	for	ADP
esrj-80281	150	5	the	the	DET
esrj-80281	150	6	different	different	ADJ
esrj-80281	150	7	fusion	fusion	NOUN
esrj-80281	150	8	effect	effect	NOUN
esrj-80281	150	9	images	image	NOUN
esrj-80281	150	10	of	of	ADP
esrj-80281	150	11	gf-2	gf-2	X
esrj-80281	150	12	satellite	satellite	PROPN
esrj-80281	150	13	remote	remote	ADJ
esrj-80281	150	14	sensing	sensing	NOUN
esrj-80281	150	15	images	image	NOUN
esrj-80281	150	16	which	which	PRON
esrj-80281	150	17	were	be	AUX
esrj-80281	150	18	based	base	VERB
esrj-80281	150	19	on	on	ADP
esrj-80281	150	20	machine	machine	NOUN
esrj-80281	150	21	learning	learn	VERB
esrj-80281	150	22	algorithm	algorithm	NOUN
esrj-80281	150	23	of	of	ADP
esrj-80281	150	24	the	the	DET
esrj-80281	150	25	knn	knn	PROPN
esrj-80281	150	26	,	,	PUNCT
esrj-80281	150	27	svm	svm	ADJ
esrj-80281	150	28	and	and	CCONJ
esrj-80281	150	29	random	random	ADJ
esrj-80281	150	30	trees	tree	NOUN
esrj-80281	150	31	object	object	NOUN
esrj-80281	150	32	-	-	PUNCT
esrj-80281	150	33	oriented	orient	VERB
esrj-80281	150	34	classification	classification	NOUN
esrj-80281	150	35	studied	study	VERB
esrj-80281	150	36	the	the	DET
esrj-80281	150	37	classification	classification	NOUN
esrj-80281	150	38	of	of	ADP
esrj-80281	150	39	urban	urban	ADJ
esrj-80281	150	40	ground	ground	NOUN
esrj-80281	150	41	information	information	NOUN
esrj-80281	150	42	extraction	extraction	NOUN
esrj-80281	150	43	:	:	PUNCT
esrj-80281	150	44	from	from	ADP
esrj-80281	150	45	the	the	DET
esrj-80281	150	46	horizontal	horizontal	ADJ
esrj-80281	150	47	comparison	comparison	NOUN
esrj-80281	150	48	,	,	PUNCT
esrj-80281	150	49	the	the	DET
esrj-80281	150	50	knn	knn	PROPN
esrj-80281	150	51	classification	classification	NOUN
esrj-80281	150	52	algorithm	algorithm	NOUN
esrj-80281	150	53	was	be	AUX
esrj-80281	150	54	the	the	DET
esrj-80281	150	55	most	most	ADV
esrj-80281	150	56	suitable	suitable	ADJ
esrj-80281	150	57	for	for	ADP
esrj-80281	150	58	pca	pca	NOUN
esrj-80281	150	59	fusion	fusion	NOUN
esrj-80281	150	60	,	,	PUNCT
esrj-80281	150	61	pansharp	pansharp	ADJ
esrj-80281	150	62	fusion	fusion	NOUN
esrj-80281	150	63	and	and	CCONJ
esrj-80281	150	64	nndiffuse	nndiffuse	NOUN
esrj-80281	150	65	fusion	fusion	NOUN
esrj-80281	150	66	image	image	NOUN
esrj-80281	150	67	classification	classification	NOUN
esrj-80281	150	68	,	,	PUNCT
esrj-80281	150	69	especially	especially	ADV
esrj-80281	150	70	in	in	ADP
esrj-80281	150	71	urban	urban	ADJ
esrj-80281	150	72	ground	ground	NOUN
esrj-80281	150	73	information	information	NOUN
esrj-80281	150	74	extraction	extraction	NOUN
esrj-80281	150	75	,	,	PUNCT
esrj-80281	150	76	followed	follow	VERB
esrj-80281	150	77	169optimization	169optimization	PROPN
esrj-80281	150	78	of	of	ADP
esrj-80281	150	79	fusion	fusion	NOUN
esrj-80281	150	80	method	method	NOUN
esrj-80281	150	81	for	for	ADP
esrj-80281	150	82	gf-2	gf-2	X
esrj-80281	150	83	satellite	satellite	PROPN
esrj-80281	150	84	remote	remote	ADJ
esrj-80281	150	85	sensing	sensing	NOUN
esrj-80281	150	86	images	image	NOUN
esrj-80281	150	87	based	base	VERB
esrj-80281	150	88	on	on	ADP
esrj-80281	150	89	the	the	DET
esrj-80281	150	90	classification	classification	NOUN
esrj-80281	150	91	effect	effect	NOUN
esrj-80281	150	92	by	by	ADP
esrj-80281	150	93	random	random	ADJ
esrj-80281	150	94	trees	tree	NOUN
esrj-80281	150	95	classification	classification	NOUN
esrj-80281	150	96	algorithm	algorithm	NOUN
esrj-80281	150	97	;	;	PUNCT
esrj-80281	150	98	for	for	ADP
esrj-80281	150	99	gram	gram	NOUN
esrj-80281	150	100	-	-	PUNCT
esrj-80281	150	101	schmidt	schmidt	NOUN
esrj-80281	150	102	fusion	fusion	NOUN
esrj-80281	150	103	image	image	NOUN
esrj-80281	150	104	classification	classification	NOUN
esrj-80281	150	105	effect	effect	NOUN
esrj-80281	150	106	the	the	DET
esrj-80281	150	107	best	good	ADJ
esrj-80281	150	108	was	be	AUX
esrj-80281	150	109	the	the	DET
esrj-80281	150	110	random	random	ADJ
esrj-80281	150	111	trees	tree	NOUN
esrj-80281	150	112	classification	classification	NOUN
esrj-80281	150	113	algorithm	algorithm	NOUN
esrj-80281	150	114	,	,	PUNCT
esrj-80281	150	115	followed	follow	VERB
esrj-80281	150	116	by	by	ADP
esrj-80281	150	117	the	the	DET
esrj-80281	150	118	knn	knn	PROPN
esrj-80281	150	119	classification	classification	NOUN
esrj-80281	150	120	algorithm	algorithm	NOUN
esrj-80281	150	121	.	.	PUNCT
esrj-80281	151	1	for	for	ADP
esrj-80281	151	2	the	the	DET
esrj-80281	151	3	classification	classification	NOUN
esrj-80281	151	4	of	of	ADP
esrj-80281	151	5	four	four	NUM
esrj-80281	151	6	kinds	kind	NOUN
esrj-80281	151	7	of	of	ADP
esrj-80281	151	8	fusion	fusion	NOUN
esrj-80281	151	9	images	image	NOUN
esrj-80281	151	10	,	,	PUNCT
esrj-80281	151	11	the	the	DET
esrj-80281	151	12	svm	svm	ADJ
esrj-80281	151	13	classification	classification	NOUN
esrj-80281	151	14	algorithm	algorithm	NOUN
esrj-80281	151	15	was	be	AUX
esrj-80281	151	16	poor	poor	ADJ
esrj-80281	151	17	and	and	CCONJ
esrj-80281	151	18	was	be	AUX
esrj-80281	151	19	not	not	PART
esrj-80281	151	20	recommended	recommend	VERB
esrj-80281	151	21	for	for	ADP
esrj-80281	151	22	urban	urban	ADJ
esrj-80281	151	23	information	information	NOUN
esrj-80281	151	24	extraction	extraction	NOUN
esrj-80281	151	25	.	.	PUNCT
esrj-80281	152	1	from	from	ADP
esrj-80281	152	2	the	the	DET
esrj-80281	152	3	vertical	vertical	ADJ
esrj-80281	152	4	comparison	comparison	NOUN
esrj-80281	152	5	,	,	PUNCT
esrj-80281	152	6	it	it	PRON
esrj-80281	152	7	was	be	AUX
esrj-80281	152	8	obviously	obviously	ADV
esrj-80281	152	9	that	that	SCONJ
esrj-80281	152	10	gf-2	gf-2	PROPN
esrj-80281	152	11	satellite	satellite	PROPN
esrj-80281	152	12	remote	remote	ADJ
esrj-80281	152	13	sensing	sensing	NOUN
esrj-80281	152	14	images	image	NOUN
esrj-80281	152	15	adopt	adopt	VERB
esrj-80281	152	16	nndiffuse	nndiffuse	NOUN
esrj-80281	152	17	fusion	fusion	NOUN
esrj-80281	152	18	and	and	CCONJ
esrj-80281	152	19	the	the	DET
esrj-80281	152	20	knn	knn	PROPN
esrj-80281	152	21	classification	classification	NOUN
esrj-80281	152	22	algorithm	algorithm	NOUN
esrj-80281	152	23	had	have	VERB
esrj-80281	152	24	the	the	DET
esrj-80281	152	25	best	good	ADJ
esrj-80281	152	26	overall	overall	ADJ
esrj-80281	152	27	classification	classification	NOUN
esrj-80281	152	28	accuracy	accuracy	NOUN
esrj-80281	152	29	and	and	CCONJ
esrj-80281	152	30	kappa	kappa	ADJ
esrj-80281	152	31	coefficient	coefficient	NOUN
esrj-80281	152	32	,	,	PUNCT
esrj-80281	152	33	and	and	CCONJ
esrj-80281	152	34	it	it	PRON
esrj-80281	152	35	was	be	AUX
esrj-80281	152	36	the	the	DET
esrj-80281	152	37	best	good	ADJ
esrj-80281	152	38	in	in	ADP
esrj-80281	152	39	the	the	DET
esrj-80281	152	40	urban	urban	ADJ
esrj-80281	152	41	ground	ground	PROPN
esrj-80281	152	42	information	information	NOUN
esrj-80281	152	43	extraction	extraction	NOUN
esrj-80281	152	44	,	,	PUNCT
esrj-80281	152	45	followed	follow	VERB
esrj-80281	152	46	by	by	ADP
esrj-80281	152	47	the	the	DET
esrj-80281	152	48	random	random	ADJ
esrj-80281	152	49	trees	tree	NOUN
esrj-80281	152	50	classification	classification	NOUN
esrj-80281	152	51	algorithm	algorithm	NOUN
esrj-80281	152	52	.	.	PUNCT
esrj-80281	153	1	for	for	ADP
esrj-80281	153	2	the	the	DET
esrj-80281	153	3	four	four	NUM
esrj-80281	153	4	fusion	fusion	NOUN
esrj-80281	153	5	algorithms	algorithm	NOUN
esrj-80281	153	6	,	,	PUNCT
esrj-80281	153	7	the	the	DET
esrj-80281	153	8	overall	overall	ADJ
esrj-80281	153	9	classification	classification	NOUN
esrj-80281	153	10	accuracy	accuracy	NOUN
esrj-80281	153	11	and	and	CCONJ
esrj-80281	153	12	kappa	kappa	ADJ
esrj-80281	153	13	coefficient	coefficient	NOUN
esrj-80281	153	14	of	of	ADP
esrj-80281	153	15	the	the	DET
esrj-80281	153	16	svm	svm	ADJ
esrj-80281	153	17	classification	classification	NOUN
esrj-80281	153	18	algorithm	algorithm	NOUN
esrj-80281	153	19	after	after	SCONJ
esrj-80281	153	20	pca	pca	NOUN
esrj-80281	153	21	fusion	fusion	NOUN
esrj-80281	153	22	processing	processing	NOUN
esrj-80281	153	23	were	be	AUX
esrj-80281	153	24	the	the	DET
esrj-80281	153	25	worst	bad	ADJ
esrj-80281	153	26	,	,	PUNCT
esrj-80281	153	27	and	and	CCONJ
esrj-80281	153	28	it	it	PRON
esrj-80281	153	29	was	be	AUX
esrj-80281	153	30	not	not	PART
esrj-80281	153	31	suitable	suitable	ADJ
esrj-80281	153	32	for	for	ADP
esrj-80281	153	33	urban	urban	ADJ
esrj-80281	153	34	information	information	NOUN
esrj-80281	153	35	extraction	extraction	NOUN
esrj-80281	153	36	.	.	PUNCT
esrj-80281	154	1	above	above	ADP
esrj-80281	154	2	all	all	PRON
esrj-80281	154	3	,	,	PUNCT
esrj-80281	154	4	it	it	PRON
esrj-80281	154	5	is	be	AUX
esrj-80281	154	6	suggested	suggest	VERB
esrj-80281	154	7	that	that	SCONJ
esrj-80281	154	8	the	the	DET
esrj-80281	154	9	nndiffuse	nndiffuse	NOUN
esrj-80281	154	10	fusion	fusion	NOUN
esrj-80281	154	11	method	method	NOUN
esrj-80281	154	12	should	should	AUX
esrj-80281	154	13	be	be	AUX
esrj-80281	154	14	used	use	VERB
esrj-80281	154	15	for	for	ADP
esrj-80281	154	16	the	the	DET
esrj-80281	154	17	fusion	fusion	NOUN
esrj-80281	154	18	of	of	ADP
esrj-80281	154	19	gf-2	gf-2	X
esrj-80281	154	20	image	image	NOUN
esrj-80281	154	21	data	datum	NOUN
esrj-80281	154	22	,	,	PUNCT
esrj-80281	154	23	and	and	CCONJ
esrj-80281	154	24	the	the	DET
esrj-80281	154	25	fusion	fusion	NOUN
esrj-80281	154	26	image	image	NOUN
esrj-80281	154	27	should	should	AUX
esrj-80281	154	28	be	be	AUX
esrj-80281	154	29	classified	classify	VERB
esrj-80281	154	30	by	by	ADP
esrj-80281	154	31	knn	knn	PROPN
esrj-80281	154	32	or	or	CCONJ
esrj-80281	154	33	random	random	ADJ
esrj-80281	154	34	trees	tree	NOUN
esrj-80281	154	35	classification	classification	NOUN
esrj-80281	154	36	algorithm	algorithm	NOUN
esrj-80281	154	37	.	.	PUNCT
esrj-80281	155	1	the	the	DET
esrj-80281	155	2	svm	svm	PROPN
esrj-80281	155	3	classification	classification	NOUN
esrj-80281	155	4	is	be	AUX
esrj-80281	155	5	not	not	PART
esrj-80281	155	6	recommended	recommend	VERB
esrj-80281	155	7	to	to	PART
esrj-80281	155	8	applied	apply	VERB
esrj-80281	155	9	to	to	ADP
esrj-80281	155	10	pca	pca	NOUN
esrj-80281	155	11	fusion	fusion	NOUN
esrj-80281	155	12	.	.	PUNCT
esrj-80281	156	1	in	in	ADP
esrj-80281	156	2	order	order	NOUN
esrj-80281	156	3	to	to	PART
esrj-80281	156	4	ensure	ensure	VERB
esrj-80281	156	5	the	the	DET
esrj-80281	156	6	classification	classification	NOUN
esrj-80281	156	7	results	result	NOUN
esrj-80281	156	8	are	be	AUX
esrj-80281	156	9	comparable	comparable	ADJ
esrj-80281	156	10	,	,	PUNCT
esrj-80281	156	11	this	this	DET
esrj-80281	156	12	study	study	NOUN
esrj-80281	156	13	in	in	ADP
esrj-80281	156	14	the	the	DET
esrj-80281	156	15	classification	classification	NOUN
esrj-80281	156	16	of	of	ADP
esrj-80281	156	17	different	different	ADJ
esrj-80281	156	18	classification	classification	NOUN
esrj-80281	156	19	process	process	NOUN
esrj-80281	156	20	,	,	PUNCT
esrj-80281	156	21	the	the	DET
esrj-80281	156	22	relevant	relevant	ADJ
esrj-80281	156	23	parameters	parameter	NOUN
esrj-80281	156	24	set	set	VERB
esrj-80281	156	25	the	the	DET
esrj-80281	156	26	same	same	ADJ
esrj-80281	156	27	.	.	PUNCT
esrj-80281	157	1	acknowledgment	acknowledgment	NOUN
esrj-80281	157	2	the	the	DET
esrj-80281	157	3	work	work	NOUN
esrj-80281	157	4	was	be	AUX
esrj-80281	157	5	financially	financially	ADV
esrj-80281	157	6	supported	support	VERB
esrj-80281	157	7	by	by	ADP
esrj-80281	157	8	the	the	DET
esrj-80281	157	9	national	national	ADJ
esrj-80281	157	10	natural	natural	PROPN
esrj-80281	157	11	science	science	PROPN
esrj-80281	157	12	foundation	foundation	PROPN
esrj-80281	157	13	of	of	ADP
esrj-80281	157	14	china	china	PROPN
esrj-80281	157	15	(	(	PUNCT
esrj-80281	157	16	no	no	INTJ
esrj-80281	157	17	.	.	PUNCT
esrj-80281	157	18	:	:	PUNCT
esrj-80281	158	1	41671432	41671432	NUM
esrj-80281	158	2	)	)	PUNCT
esrj-80281	158	3	;	;	PUNCT
esrj-80281	158	4	the	the	DET
esrj-80281	158	5	open	open	ADJ
esrj-80281	158	6	fund	fund	NOUN
esrj-80281	158	7	project	project	NOUN
esrj-80281	158	8	of	of	ADP
esrj-80281	158	9	key	key	ADJ
esrj-80281	158	10	laboratory	laboratory	NOUN
esrj-80281	158	11	of	of	ADP
esrj-80281	158	12	geoscience	geoscience	PROPN
esrj-80281	158	13	spatial	spatial	ADJ
esrj-80281	158	14	information	information	NOUN
esrj-80281	158	15	technology	technology	NOUN
esrj-80281	158	16	of	of	ADP
esrj-80281	158	17	ministry	ministry	PROPN
esrj-80281	158	18	of	of	ADP
esrj-80281	158	19	land	land	NOUN
esrj-80281	158	20	and	and	CCONJ
esrj-80281	158	21	resources	resource	NOUN
esrj-80281	158	22	(	(	PUNCT
esrj-80281	158	23	chengdu	chengdu	PROPN
esrj-80281	158	24	university	university	PROPN
esrj-80281	158	25	of	of	ADP
esrj-80281	158	26	technology	technology	NOUN
esrj-80281	158	27	)	)	PUNCT
esrj-80281	158	28	(	(	PUNCT
esrj-80281	158	29	no	no	INTJ
esrj-80281	158	30	.	.	PUNCT
esrj-80281	158	31	:	:	PUNCT
esrj-80281	159	1	klgsit2016	klgsit2016	PROPN
esrj-80281	159	2	-	-	SYM
esrj-80281	159	3	11	11	NUM
esrj-80281	159	4	)	)	PUNCT
esrj-80281	159	5	”	"	PUNCT
esrj-80281	159	6	.	.	PUNCT
esrj-80281	160	1	references	reference	NOUN
esrj-80281	160	2	chen	chen	PROPN
esrj-80281	160	3	,	,	PUNCT
esrj-80281	160	4	j.	j.	PROPN
esrj-80281	160	5	,	,	PUNCT
esrj-80281	160	6	shao	shao	PROPN
esrj-80281	160	7	q.	q.	PROPN
esrj-80281	160	8	,	,	PUNCT
esrj-80281	160	9	mei	mei	PROPN
esrj-80281	160	10	,	,	PUNCT
esrj-80281	160	11	x.	x.	PROPN
esrj-80281	160	12	,	,	PUNCT
esrj-80281	160	13	deng	deng	PROPN
esrj-80281	160	14	,	,	PUNCT
esrj-80281	160	15	m.	m.	NOUN
esrj-80281	160	16	,	,	PUNCT
esrj-80281	160	17	&	&	CCONJ
esrj-80281	160	18	hou	hou	PROPN
esrj-80281	160	19	,	,	PUNCT
esrj-80281	160	20	j.	j.	PROPN
esrj-80281	160	21	(	(	PUNCT
esrj-80281	160	22	2016	2016	NUM
esrj-80281	160	23	)	)	PUNCT
esrj-80281	160	24	.	.	PUNCT
esrj-80281	161	1	object	object	NOUN
esrj-80281	161	2	-	-	PUNCT
esrj-80281	161	3	based	base	VERB
esrj-80281	161	4	urban	urban	ADJ
esrj-80281	161	5	road	road	NOUN
esrj-80281	161	6	extraction	extraction	NOUN
esrj-80281	161	7	from	from	ADP
esrj-80281	161	8	high	high	ADJ
esrj-80281	161	9	resolution	resolution	NOUN
esrj-80281	161	10	imagery	imagery	NOUN
esrj-80281	161	11	with	with	ADP
esrj-80281	161	12	space	space	NOUN
esrj-80281	161	13	-	-	PUNCT
esrj-80281	161	14	scale	scale	NOUN
esrj-80281	161	15	theory	theory	NOUN
esrj-80281	161	16	.	.	PUNCT
esrj-80281	162	1	engineering	engineering	NOUN
esrj-80281	162	2	of	of	ADP
esrj-80281	162	3	surveying	surveying	NOUN
esrj-80281	162	4	and	and	CCONJ
esrj-80281	162	5	mapping	mapping	NOUN
esrj-80281	162	6	,	,	PUNCT
esrj-80281	162	7	(	(	PUNCT
esrj-80281	162	8	12	12	NUM
esrj-80281	162	9	)	)	PUNCT
esrj-80281	162	10	,	,	PUNCT
esrj-80281	162	11	5	5	NUM
esrj-80281	162	12	-	-	SYM
esrj-80281	162	13	11	11	NUM
esrj-80281	162	14	.	.	PUNCT
esrj-80281	163	1	chen	chen	PROPN
esrj-80281	163	2	,	,	PUNCT
esrj-80281	163	3	m.	m.	NOUN
esrj-80281	163	4	(	(	PUNCT
esrj-80281	163	5	2016	2016	NUM
esrj-80281	163	6	)	)	PUNCT
esrj-80281	163	7	.	.	PUNCT
esrj-80281	164	1	image	image	NOUN
esrj-80281	164	2	fusion	fusion	NOUN
esrj-80281	164	3	of	of	ADP
esrj-80281	164	4	visual	visual	ADJ
esrj-80281	164	5	and	and	CCONJ
esrj-80281	164	6	infrared	infrared	ADJ
esrj-80281	164	7	image	image	NOUN
esrj-80281	164	8	based	base	VERB
esrj-80281	164	9	on	on	ADP
esrj-80281	164	10	nsct	nsct	PROPN
esrj-80281	164	11	and	and	CCONJ
esrj-80281	164	12	compressed	compressed	ADJ
esrj-80281	164	13	sensing	sensing	NOUN
esrj-80281	164	14	.	.	PUNCT
esrj-80281	165	1	journal	journal	NOUN
esrj-80281	165	2	of	of	ADP
esrj-80281	165	3	image	image	NOUN
esrj-80281	165	4	and	and	CCONJ
esrj-80281	165	5	graphics	graphic	NOUN
esrj-80281	165	6	,	,	PUNCT
esrj-80281	165	7	(	(	PUNCT
esrj-80281	165	8	01	01	NUM
esrj-80281	165	9	)	)	PUNCT
esrj-80281	165	10	,	,	PUNCT
esrj-80281	165	11	39	39	NUM
esrj-80281	165	12	-	-	SYM
esrj-80281	165	13	44	44	NUM
esrj-80281	165	14	.	.	PUNCT
esrj-80281	166	1	chen	chen	PROPN
esrj-80281	166	2	,	,	PUNCT
esrj-80281	166	3	x.	x.	PROPN
esrj-80281	166	4	,	,	PUNCT
esrj-80281	166	5	zhang	zhang	PROPN
esrj-80281	166	6	,	,	PUNCT
esrj-80281	166	7	k.	k.	PROPN
esrj-80281	166	8	,	,	PUNCT
esrj-80281	166	9	zang	zang	PROPN
esrj-80281	166	10	,	,	PUNCT
esrj-80281	166	11	w.	w.	PROPN
esrj-80281	166	12	,	,	PUNCT
esrj-80281	166	13	&	&	CCONJ
esrj-80281	166	14	dong	dong	PROPN
esrj-80281	166	15	,	,	PUNCT
esrj-80281	166	16	l.	l.	PROPN
esrj-80281	166	17	(	(	PUNCT
esrj-80281	166	18	2016	2016	NUM
esrj-80281	166	19	)	)	PUNCT
esrj-80281	166	20	.	.	PUNCT
esrj-80281	167	1	remote	remote	ADJ
esrj-80281	167	2	sensing	sense	VERB
esrj-80281	167	3	image	image	NOUN
esrj-80281	167	4	fusion	fusion	NOUN
esrj-80281	167	5	based	base	VERB
esrj-80281	167	6	on	on	ADP
esrj-80281	167	7	high	high	ADJ
esrj-80281	167	8	-	-	PUNCT
esrj-80281	167	9	boost	boost	NOUN
esrj-80281	167	10	filtering	filtering	NOUN
esrj-80281	167	11	and	and	CCONJ
esrj-80281	167	12	àtrous	àtrous	ADJ
esrj-80281	167	13	wavelet	wavelet	NOUN
esrj-80281	167	14	transform	transform	NOUN
esrj-80281	167	15	.	.	PUNCT
esrj-80281	168	1	journal	journal	PROPN
esrj-80281	168	2	of	of	ADP
esrj-80281	168	3	henan	henan	PROPN
esrj-80281	168	4	university	university	PROPN
esrj-80281	168	5	(	(	PUNCT
esrj-80281	168	6	natural	natural	ADJ
esrj-80281	168	7	science	science	NOUN
esrj-80281	168	8	edition	edition	NOUN
esrj-80281	168	9	)	)	PUNCT
esrj-80281	168	10	,	,	PUNCT
esrj-80281	168	11	02	02	NUM
esrj-80281	168	12	,	,	PUNCT
esrj-80281	168	13	202	202	NUM
esrj-80281	168	14	-	-	SYM
esrj-80281	168	15	206	206	NUM
esrj-80281	168	16	.	.	PUNCT
esrj-80281	169	1	deng	deng	PROPN
esrj-80281	169	2	,	,	PUNCT
esrj-80281	169	3	s.	s.	PROPN
esrj-80281	169	4	,	,	PUNCT
esrj-80281	169	5	chen	chen	PROPN
esrj-80281	169	6	,	,	PUNCT
esrj-80281	169	7	q.	q.	PROPN
esrj-80281	169	8	,	,	PUNCT
esrj-80281	169	9	&	&	CCONJ
esrj-80281	169	10	du	du	PROPN
esrj-80281	169	11	,	,	PUNCT
esrj-80281	169	12	h.	h.	PROPN
esrj-80281	169	13	(	(	PUNCT
esrj-80281	169	14	2014	2014	NUM
esrj-80281	169	15	)	)	PUNCT
esrj-80281	169	16	.	.	PUNCT
esrj-80281	170	1	envi	envi	PROPN
esrj-80281	170	2	remote	remote	ADJ
esrj-80281	170	3	sensing	sense	VERB
esrj-80281	170	4	image	image	NOUN
esrj-80281	170	5	processing	processing	NOUN
esrj-80281	170	6	(	(	PUNCT
esrj-80281	170	7	in	in	ADP
esrj-80281	170	8	chinese	chinese	PROPN
esrj-80281	170	9	)	)	PUNCT
esrj-80281	170	10	.	.	PUNCT
esrj-80281	171	1	beijing	beijing	PROPN
esrj-80281	171	2	:	:	PUNCT
esrj-80281	171	3	higher	high	ADJ
esrj-80281	171	4	education	education	NOUN
esrj-80281	171	5	press	press	NOUN
esrj-80281	171	6	.	.	PUNCT
esrj-80281	172	1	dong	dong	PROPN
esrj-80281	172	2	,	,	PUNCT
esrj-80281	172	3	s.	s.	PROPN
esrj-80281	172	4	,	,	PUNCT
esrj-80281	172	5	zang	zang	PROPN
esrj-80281	172	6	,	,	PUNCT
esrj-80281	172	7	s.	s.	PROPN
esrj-80281	172	8	,	,	PUNCT
esrj-80281	172	9	wu	wu	PROPN
esrj-80281	172	10	,	,	PUNCT
esrj-80281	172	11	c.	c.	PROPN
esrj-80281	172	12	,	,	PUNCT
esrj-80281	172	13	&	&	CCONJ
esrj-80281	172	14	li	li	PROPN
esrj-80281	172	15	,	,	PUNCT
esrj-80281	172	16	m.	m.	NOUN
esrj-80281	172	17	(	(	PUNCT
esrj-80281	172	18	2017	2017	NUM
esrj-80281	172	19	)	)	PUNCT
esrj-80281	172	20	.	.	PUNCT
esrj-80281	173	1	comparison	comparison	NOUN
esrj-80281	173	2	of	of	ADP
esrj-80281	173	3	different	different	ADJ
esrj-80281	173	4	image	image	NOUN
esrj-80281	173	5	fusion	fusion	NOUN
esrj-80281	173	6	methods	method	NOUN
esrj-80281	173	7	using	use	VERB
esrj-80281	173	8	spot-7	spot-7	PROPN
esrj-80281	173	9	.	.	PUNCT
esrj-80281	174	1	geomatics	geomatics	PROPN
esrj-80281	174	2	and	and	CCONJ
esrj-80281	174	3	spatial	spatial	ADJ
esrj-80281	174	4	information	information	NOUN
esrj-80281	174	5	technology	technology	NOUN
esrj-80281	174	6	,	,	PUNCT
esrj-80281	174	7	01	01	NUM
esrj-80281	174	8	,	,	PUNCT
esrj-80281	174	9	75	75	NUM
esrj-80281	174	10	-	-	SYM
esrj-80281	174	11	78	78	NUM
esrj-80281	174	12	.	.	PUNCT
esrj-80281	175	1	du	du	PROPN
esrj-80281	175	2	,	,	PUNCT
esrj-80281	175	3	t.	t.	PROPN
esrj-80281	175	4	(	(	PUNCT
esrj-80281	175	5	2015	2015	NUM
esrj-80281	175	6	)	)	PUNCT
esrj-80281	175	7	.	.	PUNCT
esrj-80281	176	1	the	the	DET
esrj-80281	176	2	comparison	comparison	NOUN
esrj-80281	176	3	among	among	ADP
esrj-80281	176	4	fusion	fusion	NOUN
esrj-80281	176	5	algorithms	algorithm	NOUN
esrj-80281	176	6	of	of	ADP
esrj-80281	176	7	landsat	landsat	PROPN
esrj-80281	176	8	8	8	NUM
esrj-80281	176	9	oli	oli	VERB
esrj-80281	176	10	remote	remote	ADJ
esrj-80281	176	11	sensing	sense	VERB
esrj-80281	176	12	imagery	imagery	NOUN
esrj-80281	176	13	and	and	CCONJ
esrj-80281	176	14	analysis	analysis	NOUN
esrj-80281	176	15	on	on	ADP
esrj-80281	176	16	adaptability	adaptability	NOUN
esrj-80281	176	17	of	of	ADP
esrj-80281	176	18	the	the	DET
esrj-80281	176	19	classification	classification	NOUN
esrj-80281	176	20	of	of	ADP
esrj-80281	176	21	land	land	NOUN
esrj-80281	176	22	use	use	NOUN
esrj-80281	176	23	.	.	PUNCT
esrj-80281	177	1	northwestern	northwestern	ADJ
esrj-80281	177	2	university	university	PROPN
esrj-80281	177	3	.	.	PUNCT
esrj-80281	178	1	fan	fan	PROPN
esrj-80281	178	2	,	,	PUNCT
esrj-80281	178	3	c.	c.	PROPN
esrj-80281	178	4	(	(	PUNCT
esrj-80281	178	5	2015	2015	NUM
esrj-80281	178	6	)	)	PUNCT
esrj-80281	178	7	.	.	PUNCT
esrj-80281	179	1	research	research	NOUN
esrj-80281	179	2	on	on	ADP
esrj-80281	179	3	wuxi	wuxi	PROPN
esrj-80281	179	4	new	new	PROPN
esrj-80281	179	5	district	district	PROPN
esrj-80281	179	6	information	information	NOUN
esrj-80281	179	7	extraction	extraction	NOUN
esrj-80281	179	8	based	base	VERB
esrj-80281	179	9	on	on	ADP
esrj-80281	179	10	worldview2	worldview2	PROPN
esrj-80281	179	11	image	image	NOUN
esrj-80281	179	12	.	.	PUNCT
esrj-80281	180	1	nanjing	nanjing	PROPN
esrj-80281	180	2	university	university	PROPN
esrj-80281	180	3	.	.	PUNCT
esrj-80281	180	4	fang	fang	PROPN
esrj-80281	180	5	,	,	PUNCT
esrj-80281	180	6	t.	t.	PROPN
esrj-80281	180	7	,	,	PUNCT
esrj-80281	180	8	huo	huo	PROPN
esrj-80281	180	9	,	,	PUNCT
esrj-80281	180	10	h.	h.	PROPN
esrj-80281	180	11	,	,	PUNCT
esrj-80281	180	12	&	&	CCONJ
esrj-80281	180	13	ma	ma	PROPN
esrj-80281	180	14	,	,	PUNCT
esrj-80281	180	15	h.	h.	PROPN
esrj-80281	180	16	(	(	PUNCT
esrj-80281	180	17	2016	2016	NUM
esrj-80281	180	18	)	)	PUNCT
esrj-80281	180	19	.	.	PUNCT
esrj-80281	181	1	intelligent	intelligent	ADJ
esrj-80281	181	2	interpretation	interpretation	NOUN
esrj-80281	181	3	of	of	ADP
esrj-80281	181	4	high	high	ADJ
esrj-80281	181	5	resolution	resolution	NOUN
esrj-80281	181	6	remote	remote	ADJ
esrj-80281	181	7	sensing	sensing	NOUN
esrj-80281	181	8	images	image	NOUN
esrj-80281	181	9	.	.	PUNCT
esrj-80281	182	1	beijing	beijing	PROPN
esrj-80281	182	2	,	,	PUNCT
esrj-80281	182	3	science	science	NOUN
esrj-80281	182	4	press	press	NOUN
esrj-80281	182	5	.	.	PUNCT
esrj-80281	183	1	jiang	jiang	PROPN
esrj-80281	183	2	,	,	PUNCT
esrj-80281	183	3	y.	y.	PROPN
esrj-80281	183	4	,	,	PUNCT
esrj-80281	183	5	&	&	CCONJ
esrj-80281	183	6	li	li	PROPN
esrj-80281	183	7	,	,	PUNCT
esrj-80281	183	8	s.	s.	PROPN
esrj-80281	183	9	(	(	PUNCT
esrj-80281	183	10	2016	2016	NUM
esrj-80281	183	11	)	)	PUNCT
esrj-80281	183	12	.	.	PUNCT
esrj-80281	184	1	remote	remote	ADJ
esrj-80281	184	2	sensing	sense	VERB
esrj-80281	184	3	image	image	NOUN
esrj-80281	184	4	classification	classification	NOUN
esrj-80281	184	5	based	base	VERB
esrj-80281	184	6	on	on	ADP
esrj-80281	184	7	fusion	fusion	NOUN
esrj-80281	184	8	of	of	ADP
esrj-80281	184	9	multiple	multiple	ADJ
esrj-80281	184	10	features	feature	NOUN
esrj-80281	184	11	with	with	ADP
esrj-80281	184	12	block	block	NOUN
esrj-80281	184	13	feature	feature	NOUN
esrj-80281	184	14	point	point	NOUN
esrj-80281	184	15	density	density	NOUN
esrj-80281	184	16	analysis	analysis	NOUN
esrj-80281	184	17	.	.	PUNCT
esrj-80281	185	1	computer	computer	NOUN
esrj-80281	185	2	and	and	CCONJ
esrj-80281	185	3	modernization	modernization	NOUN
esrj-80281	185	4	,	,	PUNCT
esrj-80281	185	5	05	05	NUM
esrj-80281	185	6	,	,	PUNCT
esrj-80281	185	7	1	1	NUM
esrj-80281	185	8	-	-	SYM
esrj-80281	185	9	6	6	NUM
esrj-80281	185	10	.	.	PUNCT
esrj-80281	186	1	liu	liu	PROPN
esrj-80281	186	2	,	,	PUNCT
esrj-80281	186	3	k.	k.	PROPN
esrj-80281	186	4	,	,	PUNCT
esrj-80281	186	5	fu	fu	PROPN
esrj-80281	186	6	,	,	PUNCT
esrj-80281	186	7	j.	j.	PROPN
esrj-80281	186	8	,	,	PUNCT
esrj-80281	186	9	&	&	CCONJ
esrj-80281	186	10	li	li	PROPN
esrj-80281	186	11	,	,	PUNCT
esrj-80281	186	12	f.	f.	PROPN
esrj-80281	186	13	(	(	PUNCT
esrj-80281	186	14	2015	2015	NUM
esrj-80281	186	15	)	)	PUNCT
esrj-80281	186	16	.	.	PUNCT
esrj-80281	187	1	evaluation	evaluation	NOUN
esrj-80281	187	2	study	study	NOUN
esrj-80281	187	3	of	of	ADP
esrj-80281	187	4	four	four	NUM
esrj-80281	187	5	fusion	fusion	NOUN
esrj-80281	187	6	methods	method	NOUN
esrj-80281	187	7	of	of	ADP
esrj-80281	187	8	gf-1	gf-1	DET
esrj-80281	187	9	pan	pan	PROPN
esrj-80281	187	10	and	and	CCONJ
esrj-80281	187	11	multi	multi	ADJ
esrj-80281	187	12	-	-	ADJ
esrj-80281	187	13	spectral	spectral	ADJ
esrj-80281	187	14	images	image	NOUN
esrj-80281	187	15	.	.	PUNCT
esrj-80281	188	1	remote	remote	ADJ
esrj-80281	188	2	sensing	sense	VERB
esrj-80281	188	3	technology	technology	NOUN
esrj-80281	188	4	and	and	CCONJ
esrj-80281	188	5	application	application	NOUN
esrj-80281	188	6	,	,	PUNCT
esrj-80281	188	7	05	05	NUM
esrj-80281	188	8	,	,	PUNCT
esrj-80281	188	9	980	980	NUM
esrj-80281	188	10	-	-	PUNCT
esrj-80281	188	11	986	986	NUM
esrj-80281	188	12	.	.	PUNCT
esrj-80281	189	1	liu	liu	PROPN
esrj-80281	189	2	,	,	PUNCT
esrj-80281	189	3	x.	x.	NOUN
esrj-80281	189	4	(	(	PUNCT
esrj-80281	189	5	2014	2014	NUM
esrj-80281	189	6	)	)	PUNCT
esrj-80281	189	7	.	.	PUNCT
esrj-80281	190	1	adjustment	adjustment	NOUN
esrj-80281	190	2	and	and	CCONJ
esrj-80281	190	3	protection	protection	NOUN
esrj-80281	190	4	analysis	analysis	NOUN
esrj-80281	190	5	of	of	ADP
esrj-80281	190	6	permanent	permanent	ADJ
esrj-80281	190	7	basic	basic	ADJ
esrj-80281	190	8	farmland	farmland	NOUN
esrj-80281	190	9	in	in	ADP
esrj-80281	190	10	longchang	longchang	PROPN
esrj-80281	190	11	county	county	PROPN
esrj-80281	190	12	of	of	ADP
esrj-80281	190	13	neijiang	neijiang	PROPN
esrj-80281	190	14	.	.	PUNCT
esrj-80281	191	1	chengdu	chengdu	PROPN
esrj-80281	191	2	university	university	PROPN
esrj-80281	191	3	of	of	ADP
esrj-80281	191	4	technology	technology	PROPN
esrj-80281	191	5	.	.	PUNCT
esrj-80281	192	1	liu	liu	PROPN
esrj-80281	192	2	,	,	PUNCT
esrj-80281	192	3	y.	y.	PROPN
esrj-80281	192	4	(	(	PUNCT
esrj-80281	192	5	2016	2016	NUM
esrj-80281	192	6	)	)	PUNCT
esrj-80281	192	7	.	.	PUNCT
esrj-80281	193	1	target	target	NOUN
esrj-80281	193	2	recognition	recognition	NOUN
esrj-80281	193	3	of	of	ADP
esrj-80281	193	4	high	high	ADJ
esrj-80281	193	5	resolution	resolution	NOUN
esrj-80281	193	6	remote	remote	ADJ
esrj-80281	193	7	sensing	sense	VERB
esrj-80281	193	8	image	image	NOUN
esrj-80281	193	9	based	base	VERB
esrj-80281	193	10	on	on	ADP
esrj-80281	193	11	multi	multi	ADJ
esrj-80281	193	12	-	-	ADJ
esrj-80281	193	13	media	media	ADJ
esrj-80281	193	14	neural	neural	ADJ
esrj-80281	193	15	cognitive	cognitive	ADJ
esrj-80281	193	16	computing	computing	NOUN
esrj-80281	193	17	model	model	NOUN
esrj-80281	193	18	.	.	PUNCT
esrj-80281	194	1	henan	henan	PROPN
esrj-80281	194	2	university	university	PROPN
esrj-80281	194	3	.	.	PUNCT
esrj-80281	195	1	luo	luo	PROPN
esrj-80281	195	2	,	,	PUNCT
esrj-80281	195	3	l.	l.	PROPN
esrj-80281	195	4	,	,	PUNCT
esrj-80281	195	5	&	&	CCONJ
esrj-80281	195	6	du	du	PROPN
esrj-80281	195	7	,	,	PUNCT
esrj-80281	195	8	q.	q.	PROPN
esrj-80281	195	9	(	(	PUNCT
esrj-80281	195	10	2017	2017	NUM
esrj-80281	195	11	)	)	PUNCT
esrj-80281	195	12	.	.	PUNCT
esrj-80281	196	1	image	image	NOUN
esrj-80281	196	2	fusion	fusion	NOUN
esrj-80281	196	3	quality	quality	NOUN
esrj-80281	196	4	evaluation	evaluation	NOUN
esrj-80281	196	5	algorithm	algorithm	NOUN
esrj-80281	196	6	based	base	VERB
esrj-80281	196	7	on	on	ADP
esrj-80281	196	8	multi	multi	ADJ
esrj-80281	196	9	-	-	ADJ
esrj-80281	196	10	scale	scale	ADJ
esrj-80281	196	11	local	local	ADJ
esrj-80281	196	12	variance	variance	NOUN
esrj-80281	196	13	.	.	PUNCT
esrj-80281	197	1	computer	computer	NOUN
esrj-80281	197	2	engineering	engineering	NOUN
esrj-80281	197	3	,	,	PUNCT
esrj-80281	197	4	02	02	NUM
esrj-80281	197	5	,	,	PUNCT
esrj-80281	197	6	264	264	NUM
esrj-80281	197	7	-	-	SYM
esrj-80281	197	8	267	267	NUM
esrj-80281	197	9	.	.	PUNCT
esrj-80281	198	1	meng	meng	PROPN
esrj-80281	198	2	,	,	PUNCT
esrj-80281	198	3	f.	f.	PROPN
esrj-80281	198	4	,	,	PUNCT
esrj-80281	198	5	chen	chen	PROPN
esrj-80281	198	6	,	,	PUNCT
esrj-80281	198	7	s.	s.	PROPN
esrj-80281	198	8	,	,	PUNCT
esrj-80281	198	9	&	&	CCONJ
esrj-80281	198	10	zhang	zhang	PROPN
esrj-80281	198	11	,	,	PUNCT
esrj-80281	198	12	g.	g.	PROPN
esrj-80281	198	13	(	(	PUNCT
esrj-80281	198	14	2016	2016	NUM
esrj-80281	198	15	)	)	PUNCT
esrj-80281	198	16	.	.	PUNCT
esrj-80281	199	1	image	image	NOUN
esrj-80281	199	2	fusion	fusion	NOUN
esrj-80281	199	3	quality	quality	NOUN
esrj-80281	199	4	assessment	assessment	NOUN
esrj-80281	199	5	of	of	ADP
esrj-80281	199	6	gf-2	gf-2	PROPN
esrj-80281	199	7	satellite	satellite	NOUN
esrj-80281	199	8	based	base	VERB
esrj-80281	199	9	on	on	ADP
esrj-80281	199	10	full	full	ADJ
esrj-80281	199	11	reference	reference	NOUN
esrj-80281	199	12	.	.	PUNCT
esrj-80281	200	1	spacecraft	spacecraft	NOUN
esrj-80281	200	2	recovery	recovery	NOUN
esrj-80281	200	3	and	and	CCONJ
esrj-80281	200	4	remote	remote	ADJ
esrj-80281	200	5	sensing	sensing	NOUN
esrj-80281	200	6	,	,	PUNCT
esrj-80281	200	7	06	06	NUM
esrj-80281	200	8	,	,	PUNCT
esrj-80281	200	9	85	85	NUM
esrj-80281	200	10	-	-	SYM
esrj-80281	200	11	94	94	NUM
esrj-80281	200	12	.	.	PUNCT
esrj-80281	201	1	ren	ren	PROPN
esrj-80281	201	2	,	,	PUNCT
esrj-80281	201	3	j.	j.	PROPN
esrj-80281	201	4	(	(	PUNCT
esrj-80281	201	5	2016	2016	NUM
esrj-80281	201	6	)	)	PUNCT
esrj-80281	201	7	.	.	PUNCT
esrj-80281	202	1	evaluation	evaluation	NOUN
esrj-80281	202	2	of	of	ADP
esrj-80281	202	3	data	datum	NOUN
esrj-80281	202	4	fusion	fusion	NOUN
esrj-80281	202	5	effect	effect	NOUN
esrj-80281	202	6	based	base	VERB
esrj-80281	202	7	on	on	ADP
esrj-80281	202	8	the	the	DET
esrj-80281	202	9	pms	pms	PROPN
esrj-80281	202	10	data	datum	NOUN
esrj-80281	202	11	of	of	ADP
esrj-80281	202	12	chinese	chinese	PROPN
esrj-80281	202	13	gf-2	gf-2	X
esrj-80281	202	14	satellite	satellite	PROPN
esrj-80281	202	15	.	.	PUNCT
esrj-80281	203	1	chengdu	chengdu	PROPN
esrj-80281	203	2	,	,	PUNCT
esrj-80281	203	3	china	china	PROPN
esrj-80281	203	4	.	.	PUNCT
esrj-80281	204	1	sun	sun	PROPN
esrj-80281	204	2	,	,	PUNCT
esrj-80281	204	3	w.	w.	PROPN
esrj-80281	204	4	,	,	PUNCT
esrj-80281	204	5	&	&	CCONJ
esrj-80281	204	6	messinger	messinger	PROPN
esrj-80281	204	7	,	,	PUNCT
esrj-80281	204	8	d.	d.	PROPN
esrj-80281	204	9	(	(	PUNCT
esrj-80281	204	10	2014	2014	NUM
esrj-80281	204	11	)	)	PUNCT
esrj-80281	204	12	.	.	PUNCT
esrj-80281	205	1	nearest	nearest	ADJ
esrj-80281	205	2	-	-	PUNCT
esrj-80281	205	3	neighbor	neighbor	NOUN
esrj-80281	205	4	diffusion	diffusion	NOUN
esrj-80281	205	5	-	-	PUNCT
esrj-80281	205	6	based	base	VERB
esrj-80281	205	7	pansharpening	pansharpene	VERB
esrj-80281	205	8	algorithm	algorithm	NOUN
esrj-80281	205	9	for	for	ADP
esrj-80281	205	10	spectral	spectral	ADJ
esrj-80281	205	11	images	image	NOUN
esrj-80281	205	12	.	.	PUNCT
esrj-80281	206	1	optical	optical	ADJ
esrj-80281	206	2	engineering	engineering	NOUN
esrj-80281	206	3	,	,	PUNCT
esrj-80281	206	4	53(1	53(1	NOUN
esrj-80281	206	5	)	)	PUNCT
esrj-80281	206	6	,	,	PUNCT
esrj-80281	206	7	13107	13107	NUM
esrj-80281	206	8	.	.	PUNCT
esrj-80281	207	1	sun	sun	NOUN
esrj-80281	207	2	,	,	PUNCT
esrj-80281	207	3	x.	x.	NOUN
esrj-80281	207	4	,	,	PUNCT
esrj-80281	207	5	fu	fu	PROPN
esrj-80281	207	6	,	,	PUNCT
esrj-80281	207	7	k.	k.	PROPN
esrj-80281	207	8	,	,	PUNCT
esrj-80281	207	9	&	&	CCONJ
esrj-80281	207	10	wang	wang	PROPN
esrj-80281	207	11	,	,	PUNCT
esrj-80281	207	12	h.	h.	PROPN
esrj-80281	207	13	(	(	PUNCT
esrj-80281	207	14	2011	2011	NUM
esrj-80281	207	15	)	)	PUNCT
esrj-80281	207	16	.	.	PUNCT
esrj-80281	208	1	high	high	ADJ
esrj-80281	208	2	resolution	resolution	NOUN
esrj-80281	208	3	remote	remote	ADJ
esrj-80281	208	4	sensing	sense	VERB
esrj-80281	208	5	image	image	NOUN
esrj-80281	208	6	understanding	understanding	NOUN
esrj-80281	208	7	.	.	PUNCT
esrj-80281	209	1	beijing	beijing	PROPN
esrj-80281	209	2	:	:	PUNCT
esrj-80281	209	3	science	science	NOUN
esrj-80281	209	4	press	press	PROPN
esrj-80281	209	5	.	.	PUNCT
esrj-80281	210	1	wang	wang	PROPN
esrj-80281	210	2	,	,	PUNCT
esrj-80281	210	3	a.	a.	PROPN
esrj-80281	210	4	(	(	PUNCT
esrj-80281	210	5	2016	2016	NUM
esrj-80281	210	6	)	)	PUNCT
esrj-80281	210	7	.	.	PUNCT
esrj-80281	211	1	the	the	DET
esrj-80281	211	2	research	research	NOUN
esrj-80281	211	3	of	of	ADP
esrj-80281	211	4	remote	remote	ADJ
esrj-80281	211	5	sensing	sense	VERB
esrj-80281	211	6	image	image	NOUN
esrj-80281	211	7	fusion	fusion	NOUN
esrj-80281	211	8	method	method	NOUN
esrj-80281	211	9	optimization	optimization	NOUN
esrj-80281	211	10	based	base	VERB
esrj-80281	211	11	on	on	ADP
esrj-80281	211	12	the	the	DET
esrj-80281	211	13	gf-2	gf-2	X
esrj-80281	211	14	satellite	satellite	NOUN
esrj-80281	211	15	in	in	ADP
esrj-80281	211	16	the	the	DET
esrj-80281	211	17	mountain	mountain	NOUN
esrj-80281	211	18	area	area	NOUN
esrj-80281	211	19	.	.	PUNCT
esrj-80281	212	1	yunnan	yunnan	PROPN
esrj-80281	212	2	university	university	PROPN
esrj-80281	212	3	.	.	PUNCT
esrj-80281	213	1	wang	wang	PROPN
esrj-80281	213	2	,	,	PUNCT
esrj-80281	213	3	h.	h.	PROPN
esrj-80281	213	4	,	,	PUNCT
esrj-80281	213	5	li	li	PROPN
esrj-80281	213	6	,	,	PUNCT
esrj-80281	213	7	g.	g.	PROPN
esrj-80281	213	8	,	,	PUNCT
esrj-80281	213	9	zhang	zhang	PROPN
esrj-80281	213	10	,	,	PUNCT
esrj-80281	213	11	b.	b.	PROPN
esrj-80281	213	12	,	,	PUNCT
esrj-80281	213	13	&	&	CCONJ
esrj-80281	213	14	dou	dou	PROPN
esrj-80281	213	15	,	,	PUNCT
esrj-80281	213	16	x.	x.	NOUN
esrj-80281	213	17	(	(	PUNCT
esrj-80281	213	18	2015	2015	NUM
esrj-80281	213	19	)	)	PUNCT
esrj-80281	213	20	.	.	PUNCT
esrj-80281	214	1	contrast	contrast	NOUN
esrj-80281	214	2	and	and	CCONJ
esrj-80281	214	3	analysis	analysis	NOUN
esrj-80281	214	4	of	of	ADP
esrj-80281	214	5	different	different	ADJ
esrj-80281	214	6	fusion	fusion	NOUN
esrj-80281	214	7	algorithms	algorithm	NOUN
esrj-80281	214	8	for	for	ADP
esrj-80281	214	9	zy-3	zy-3	X
esrj-80281	214	10	satellite	satellite	NOUN
esrj-80281	214	11	images	image	NOUN
esrj-80281	214	12	.	.	PUNCT
esrj-80281	215	1	science	science	NOUN
esrj-80281	215	2	of	of	ADP
esrj-80281	215	3	surveying	surveying	NOUN
esrj-80281	215	4	and	and	CCONJ
esrj-80281	215	5	mapping	mapping	NOUN
esrj-80281	215	6	,	,	PUNCT
esrj-80281	215	7	40(1	40(1	NUM
esrj-80281	215	8	)	)	PUNCT
esrj-80281	215	9	,	,	PUNCT
esrj-80281	215	10	47	47	NUM
esrj-80281	215	11	-	-	SYM
esrj-80281	215	12	51	51	NUM
esrj-80281	215	13	.	.	PUNCT
esrj-80281	216	1	wang	wang	PROPN
esrj-80281	216	2	,	,	PUNCT
esrj-80281	216	3	z.	z.	PROPN
esrj-80281	216	4	h.	h.	PROPN
esrj-80281	216	5	,	,	PUNCT
esrj-80281	216	6	meng	meng	PROPN
esrj-80281	216	7	,	,	PUNCT
esrj-80281	216	8	f.	f.	PROPN
esrj-80281	216	9	,	,	PUNCT
esrj-80281	216	10	yang	yang	PROPN
esrj-80281	216	11	,	,	PUNCT
esrj-80281	216	12	x.	x.	PROPN
esrj-80281	216	13	m.	m.	PROPN
esrj-80281	216	14	,	,	PUNCT
esrj-80281	216	15	yang	yang	PROPN
esrj-80281	216	16	,	,	PUNCT
esrj-80281	216	17	f.	f.	PROPN
esrj-80281	216	18	,	,	PUNCT
esrj-80281	216	19	&	&	CCONJ
esrj-80281	216	20	fang	fang	X
esrj-80281	216	21	,	,	PUNCT
esrj-80281	216	22	y.	y.	PROPN
esrj-80281	216	23	(	(	PUNCT
esrj-80281	216	24	2016	2016	NUM
esrj-80281	216	25	)	)	PUNCT
esrj-80281	216	26	.	.	PUNCT
esrj-80281	217	1	study	study	NOUN
esrj-80281	217	2	on	on	ADP
esrj-80281	217	3	the	the	DET
esrj-80281	217	4	automatic	automatic	ADJ
esrj-80281	217	5	selection	selection	NOUN
esrj-80281	217	6	of	of	ADP
esrj-80281	217	7	segmentation	segmentation	NOUN
esrj-80281	217	8	scale	scale	NOUN
esrj-80281	217	9	parameters	parameter	NOUN
esrj-80281	217	10	for	for	ADP
esrj-80281	217	11	high	high	ADJ
esrj-80281	217	12	spatial	spatial	ADJ
esrj-80281	217	13	resolution	resolution	NOUN
esrj-80281	217	14	remote	remote	ADJ
esrj-80281	217	15	sensing	sensing	NOUN
esrj-80281	217	16	images	image	NOUN
esrj-80281	217	17	.	.	PUNCT
esrj-80281	218	1	journal	journal	PROPN
esrj-80281	218	2	of	of	ADP
esrj-80281	218	3	geo	geo	PROPN
esrj-80281	218	4	-	-	PUNCT
esrj-80281	218	5	information	information	NOUN
esrj-80281	218	6	science	science	NOUN
esrj-80281	218	7	,	,	PUNCT
esrj-80281	218	8	18(5	18(5	NUM
esrj-80281	218	9	)	)	PUNCT
esrj-80281	218	10	,	,	PUNCT
esrj-80281	218	11	639	639	NUM
esrj-80281	218	12	-	-	SYM
esrj-80281	218	13	648	648	NUM
esrj-80281	218	14	.	.	PUNCT
esrj-80281	219	1	wang	wang	PROPN
esrj-80281	219	2	,	,	PUNCT
esrj-80281	219	3	z.	z.	PROPN
esrj-80281	219	4	,	,	PUNCT
esrj-80281	219	5	&	&	CCONJ
esrj-80281	219	6	zhang	zhang	PROPN
esrj-80281	219	7	,	,	PUNCT
esrj-80281	219	8	q.	q.	PROPN
esrj-80281	219	9	(	(	PUNCT
esrj-80281	219	10	2015	2015	NUM
esrj-80281	219	11	)	)	PUNCT
esrj-80281	219	12	.	.	PUNCT
esrj-80281	220	1	study	study	NOUN
esrj-80281	220	2	of	of	ADP
esrj-80281	220	3	fusion	fusion	NOUN
esrj-80281	220	4	methods	method	NOUN
esrj-80281	220	5	of	of	ADP
esrj-80281	220	6	zy-1	zy-1	NOUN
esrj-80281	220	7	-	-	PUNCT
esrj-80281	220	8	02c	02c	NOUN
esrj-80281	220	9	satellite	satellite	NOUN
esrj-80281	220	10	pms	pms	PROPN
esrj-80281	220	11	data	data	PROPN
esrj-80281	220	12	.	.	PUNCT
esrj-80281	221	1	spacecraft	spacecraft	NOUN
esrj-80281	221	2	recovery	recovery	NOUN
esrj-80281	221	3	and	and	CCONJ
esrj-80281	221	4	remote	remote	ADJ
esrj-80281	221	5	sensing	sensing	NOUN
esrj-80281	221	6	,	,	PUNCT
esrj-80281	221	7	05	05	NUM
esrj-80281	221	8	,	,	PUNCT
esrj-80281	221	9	83	83	NUM
esrj-80281	221	10	-	-	SYM
esrj-80281	221	11	95	95	NUM
esrj-80281	221	12	.	.	PUNCT
esrj-80281	222	1	xie	xie	PROPN
esrj-80281	222	2	,	,	PUNCT
esrj-80281	222	3	d.	d.	PROPN
esrj-80281	222	4	f.	f.	PROPN
esrj-80281	222	5	,	,	PUNCT
esrj-80281	222	6	zhang	zhang	PROPN
esrj-80281	222	7	,	,	PUNCT
esrj-80281	222	8	j.	j.	PROPN
esrj-80281	222	9	s.	s.	PROPN
esrj-80281	222	10	,	,	PUNCT
esrj-80281	222	11	sun	sun	PROPN
esrj-80281	222	12	,	,	PUNCT
esrj-80281	222	13	p.	p.	PROPN
esrj-80281	222	14	j.	j.	PROPN
esrj-80281	222	15	,	,	PUNCT
esrj-80281	222	16	&	&	CCONJ
esrj-80281	222	17	pan	pan	PROPN
esrj-80281	222	18	,	,	PUNCT
esrj-80281	222	19	y.	y.	PROPN
esrj-80281	222	20	(	(	PUNCT
esrj-80281	222	21	2016	2016	NUM
esrj-80281	222	22	)	)	PUNCT
esrj-80281	222	23	.	.	PUNCT
esrj-80281	223	1	remote	remote	ADJ
esrj-80281	223	2	sensing	sense	VERB
esrj-80281	223	3	data	datum	NOUN
esrj-80281	223	4	fusion	fusion	NOUN
esrj-80281	223	5	by	by	ADP
esrj-80281	223	6	combining	combine	VERB
esrj-80281	223	7	starfm	starfm	NOUN
esrj-80281	223	8	and	and	CCONJ
esrj-80281	223	9	downscaling	downscale	VERB
esrj-80281	223	10	mixed	mixed	ADJ
esrj-80281	223	11	pixel	pixel	NOUN
esrj-80281	223	12	algorithm	algorithm	NOUN
esrj-80281	223	13	.	.	PUNCT
esrj-80281	224	1	journal	journal	NOUN
esrj-80281	224	2	of	of	ADP
esrj-80281	224	3	remote	remote	ADJ
esrj-80281	224	4	sensing	sensing	NOUN
esrj-80281	224	5	,	,	PUNCT
esrj-80281	224	6	20(1	20(1	NUM
esrj-80281	224	7	)	)	PUNCT
esrj-80281	224	8	,	,	PUNCT
esrj-80281	224	9	62	62	NUM
esrj-80281	224	10	-	-	SYM
esrj-80281	224	11	72	72	NUM
esrj-80281	224	12	yang	yang	PROPN
esrj-80281	224	13	,	,	PUNCT
esrj-80281	224	14	f.	f.	PROPN
esrj-80281	224	15	(	(	PUNCT
esrj-80281	224	16	2016	2016	NUM
esrj-80281	224	17	)	)	PUNCT
esrj-80281	224	18	.	.	PUNCT
esrj-80281	225	1	comparison	comparison	NOUN
esrj-80281	225	2	and	and	CCONJ
esrj-80281	225	3	application	application	NOUN
esrj-80281	225	4	of	of	ADP
esrj-80281	225	5	high	high	ADJ
esrj-80281	225	6	-	-	PUNCT
esrj-80281	225	7	resolution	resolution	NOUN
esrj-80281	225	8	image	image	NOUN
esrj-80281	225	9	fusion	fusion	NOUN
esrj-80281	225	10	from	from	ADP
esrj-80281	225	11	the	the	DET
esrj-80281	225	12	same	same	ADJ
esrj-80281	225	13	or	or	CCONJ
esrj-80281	225	14	different	different	ADJ
esrj-80281	225	15	sensors	sensor	NOUN
esrj-80281	225	16	.	.	PUNCT
esrj-80281	226	1	anhui	anhui	PROPN
esrj-80281	226	2	university	university	PROPN
esrj-80281	226	3	,	,	PUNCT
esrj-80281	226	4	china	china	PROPN
esrj-80281	226	5	.	.	PUNCT
esrj-80281	227	1	yang	yang	PROPN
esrj-80281	227	2	,	,	PUNCT
esrj-80281	227	3	h.	h.	PROPN
esrj-80281	227	4	p.	p.	PROPN
esrj-80281	227	5	,	,	PUNCT
esrj-80281	227	6	&	&	CCONJ
esrj-80281	227	7	ming	ming	PROPN
esrj-80281	227	8	,	,	PUNCT
esrj-80281	227	9	d.	d.	PROPN
esrj-80281	227	10	p.	p.	PROPN
esrj-80281	227	11	(	(	PUNCT
esrj-80281	227	12	2016	2016	NUM
esrj-80281	227	13	)	)	PUNCT
esrj-80281	227	14	.	.	PUNCT
esrj-80281	228	1	optimal	optimal	ADJ
esrj-80281	228	2	scales	scale	NOUN
esrj-80281	228	3	based	base	VERB
esrj-80281	228	4	segmentation	segmentation	NOUN
esrj-80281	228	5	of	of	ADP
esrj-80281	228	6	high	high	ADJ
esrj-80281	228	7	spatial	spatial	ADJ
esrj-80281	228	8	resolution	resolution	NOUN
esrj-80281	228	9	remote	remote	ADJ
esrj-80281	228	10	sensing	sense	VERB
esrj-80281	228	11	data	datum	NOUN
esrj-80281	228	12	.	.	PUNCT
esrj-80281	229	1	journal	journal	PROPN
esrj-80281	229	2	of	of	ADP
esrj-80281	229	3	geo	geo	PROPN
esrj-80281	229	4	-	-	PUNCT
esrj-80281	229	5	information	information	NOUN
esrj-80281	229	6	science	science	NOUN
esrj-80281	229	7	,	,	PUNCT
esrj-80281	229	8	18(5	18(5	NUM
esrj-80281	229	9	)	)	PUNCT
esrj-80281	229	10	,	,	PUNCT
esrj-80281	229	11	632	632	NUM
esrj-80281	229	12	-	-	SYM
esrj-80281	229	13	638	638	NUM
esrj-80281	229	14	.	.	PUNCT
esrj-80281	230	1	yang	yang	PROPN
esrj-80281	230	2	,	,	PUNCT
esrj-80281	230	3	l.	l.	PROPN
esrj-80281	230	4	(	(	PUNCT
esrj-80281	230	5	2016	2016	NUM
esrj-80281	230	6	)	)	PUNCT
esrj-80281	230	7	.	.	PUNCT
esrj-80281	231	1	building	build	VERB
esrj-80281	231	2	change	change	NOUN
esrj-80281	231	3	detection	detection	NOUN
esrj-80281	231	4	from	from	ADP
esrj-80281	231	5	multitemporal	multitemporal	ADJ
esrj-80281	231	6	high	high	ADJ
esrj-80281	231	7	resolution	resolution	NOUN
esrj-80281	231	8	remote	remote	ADJ
esrj-80281	231	9	sensing	sense	VERB
esrj-80281	231	10	imagery	imagery	NOUN
esrj-80281	231	11	based	base	VERB
esrj-80281	231	12	on	on	ADP
esrj-80281	231	13	multi	multi	ADJ
esrj-80281	231	14	-	-	ADJ
esrj-80281	231	15	features	features	ADJ
esrj-80281	231	16	fusion	fusion	NOUN
esrj-80281	231	17	using	use	VERB
esrj-80281	231	18	dempster	dempster	PROPN
esrj-80281	231	19	-	-	PUNCT
esrj-80281	231	20	shafer	shafer	PROPN
esrj-80281	231	21	evidence	evidence	NOUN
esrj-80281	231	22	theory	theory	NOUN
esrj-80281	231	23	.	.	PUNCT
esrj-80281	232	1	southwest	southwest	PROPN
esrj-80281	232	2	jiao	jiao	PROPN
esrj-80281	232	3	tong	tong	PROPN
esrj-80281	232	4	university	university	PROPN
esrj-80281	232	5	.	.	PUNCT
esrj-80281	233	1	yang	yang	PROPN
esrj-80281	233	2	,	,	PUNCT
esrj-80281	233	3	y.	y.	PROPN
esrj-80281	233	4	,	,	PUNCT
esrj-80281	233	5	&	&	CCONJ
esrj-80281	233	6	yang	yang	PROPN
esrj-80281	233	7	,	,	PUNCT
esrj-80281	233	8	w.	w.	PROPN
esrj-80281	233	9	(	(	PUNCT
esrj-80281	233	10	2015	2015	NUM
esrj-80281	233	11	)	)	PUNCT
esrj-80281	233	12	.	.	PUNCT
esrj-80281	234	1	study	study	NOUN
esrj-80281	234	2	on	on	ADP
esrj-80281	234	3	delimitation	delimitation	NOUN
esrj-80281	234	4	of	of	ADP
esrj-80281	234	5	basic	basic	ADJ
esrj-80281	234	6	farmland	farmland	NOUN
esrj-80281	234	7	in	in	ADP
esrj-80281	234	8	longchang	longchang	PROPN
esrj-80281	234	9	county	county	PROPN
esrj-80281	234	10	.	.	PUNCT
esrj-80281	235	1	agriculture	agriculture	NOUN
esrj-80281	235	2	and	and	CCONJ
esrj-80281	235	3	technology	technology	NOUN
esrj-80281	235	4	,	,	PUNCT
esrj-80281	235	5	07	07	NUM
esrj-80281	235	6	,	,	PUNCT
esrj-80281	235	7	1	1	NUM
esrj-80281	235	8	-	-	SYM
esrj-80281	235	9	3	3	NUM
esrj-80281	235	10	.	.	X
esrj-80281	235	11	yang	yang	PROPN
esrj-80281	235	12	,	,	PUNCT
esrj-80281	235	13	y.	y.	PROPN
esrj-80281	235	14	(	(	PUNCT
esrj-80281	235	15	2015	2015	NUM
esrj-80281	235	16	)	)	PUNCT
esrj-80281	235	17	.	.	PUNCT
esrj-80281	236	1	comparative	comparative	ADJ
esrj-80281	236	2	study	study	NOUN
esrj-80281	236	3	on	on	ADP
esrj-80281	236	4	object	object	NOUN
esrj-80281	236	5	-	-	PUNCT
esrj-80281	236	6	oriented	orient	VERB
esrj-80281	236	7	classification	classification	NOUN
esrj-80281	236	8	technique	technique	NOUN
esrj-80281	236	9	with	with	ADP
esrj-80281	236	10	the	the	DET
esrj-80281	236	11	world	world	NOUN
esrj-80281	236	12	-	-	PUNCT
esrj-80281	236	13	view2	view2	ADJ
esrj-80281	236	14	high	high	ADJ
esrj-80281	236	15	-	-	PUNCT
esrj-80281	236	16	resolution	resolution	NOUN
esrj-80281	236	17	image	image	NOUN
esrj-80281	236	18	.	.	PUNCT
esrj-80281	237	1	chengdu	chengdu	PROPN
esrj-80281	237	2	university	university	PROPN
esrj-80281	237	3	of	of	ADP
esrj-80281	237	4	technology	technology	NOUN
esrj-80281	237	5	.	.	PUNCT
esrj-80281	238	1	yilihamu	yilihamu	ADJ
esrj-80281	238	2	,	,	PUNCT
esrj-80281	238	3	y.	y.	PROPN
esrj-80281	238	4	,	,	PUNCT
esrj-80281	238	5	xie	xie	PROPN
esrj-80281	238	6	,	,	PUNCT
esrj-80281	238	7	l.	l.	PROPN
esrj-80281	238	8	,	,	PUNCT
esrj-80281	238	9	&	&	CCONJ
esrj-80281	238	10	kong	kong	PROPN
esrj-80281	238	11	,	,	PUNCT
esrj-80281	238	12	j.	j.	PROPN
esrj-80281	238	13	(	(	PUNCT
esrj-80281	238	14	2014	2014	NUM
esrj-80281	238	15	)	)	PUNCT
esrj-80281	238	16	.	.	PUNCT
esrj-80281	239	1	remote	remote	ADJ
esrj-80281	239	2	sensing	sense	VERB
esrj-80281	239	3	image	image	NOUN
esrj-80281	239	4	fusion	fusion	NOUN
esrj-80281	239	5	based	base	VERB
esrj-80281	239	6	on	on	ADP
esrj-80281	239	7	pca	pca	NOUN
esrj-80281	239	8	transform	transform	NOUN
esrj-80281	239	9	and	and	CCONJ
esrj-80281	239	10	wavelet	wavelet	NOUN
esrj-80281	239	11	transform	transform	NOUN
esrj-80281	239	12	.	.	PUNCT
esrj-80281	240	1	infrared	infrared	PROPN
esrj-80281	240	2	and	and	CCONJ
esrj-80281	240	3	laser	laser	NOUN
esrj-80281	240	4	engineering	engineering	NOUN
esrj-80281	240	5	,	,	PUNCT
esrj-80281	240	6	07	07	NUM
esrj-80281	240	7	,	,	PUNCT
esrj-80281	240	8	2335	2335	NUM
esrj-80281	240	9	-	-	SYM
esrj-80281	240	10	2340	2340	NUM
esrj-80281	240	11	.	.	PUNCT
esrj-80281	241	1	yu	yu	PROPN
esrj-80281	241	2	,	,	PUNCT
esrj-80281	241	3	b.	b.	PROPN
esrj-80281	241	4	(	(	PUNCT
esrj-80281	241	5	2015	2015	NUM
esrj-80281	241	6	)	)	PUNCT
esrj-80281	241	7	.	.	PUNCT
esrj-80281	242	1	geometric	geometric	ADJ
esrj-80281	242	2	correction	correction	NOUN
esrj-80281	242	3	and	and	CCONJ
esrj-80281	242	4	fusion	fusion	NOUN
esrj-80281	242	5	research	research	NOUN
esrj-80281	242	6	on	on	ADP
esrj-80281	242	7	domestic	domestic	ADJ
esrj-80281	242	8	satellite	satellite	NOUN
esrj-80281	242	9	gf-1	gf-1	CCONJ
esrj-80281	242	10	data	data	PROPN
esrj-80281	242	11	.	.	PUNCT
esrj-80281	243	1	china	china	PROPN
esrj-80281	243	2	university	university	PROPN
esrj-80281	243	3	of	of	ADP
esrj-80281	243	4	geosciences	geoscience	NOUN
esrj-80281	243	5	(	(	PUNCT
esrj-80281	243	6	beijing	beijing	PROPN
esrj-80281	243	7	)	)	PUNCT
esrj-80281	243	8	.	.	PUNCT
esrj-80281	244	1	zhang	zhang	PROPN
esrj-80281	244	2	,	,	PUNCT
esrj-80281	244	3	t.	t.	PROPN
esrj-80281	244	4	,	,	PUNCT
esrj-80281	244	5	liu	liu	PROPN
esrj-80281	244	6	,	,	PUNCT
esrj-80281	244	7	j.	j.	PROPN
esrj-80281	244	8	,	,	PUNCT
esrj-80281	244	9	yang	yang	PROPN
esrj-80281	244	10	,	,	PUNCT
esrj-80281	244	11	k.	k.	PROPN
esrj-80281	244	12	,	,	PUNCT
esrj-80281	244	13	&	&	CCONJ
esrj-80281	244	14	luo	luo	PROPN
esrj-80281	244	15	,	,	PUNCT
esrj-80281	244	16	w.	w.	PROPN
esrj-80281	244	17	(	(	PUNCT
esrj-80281	244	18	2015	2015	NUM
esrj-80281	244	19	)	)	PUNCT
esrj-80281	244	20	.	.	PUNCT
esrj-80281	245	1	fusion	fusion	NOUN
esrj-80281	245	2	algorithm	algorithm	NOUN
esrj-80281	245	3	for	for	ADP
esrj-80281	245	4	hyperspectral	hyperspectral	ADJ
esrj-80281	245	5	remote	remote	ADJ
esrj-80281	245	6	sensing	sense	VERB
esrj-80281	245	7	image	image	NOUN
esrj-80281	245	8	combined	combine	VERB
esrj-80281	245	9	with	with	ADP
esrj-80281	245	10	harmonic	harmonic	ADJ
esrj-80281	245	11	analysis	analysis	NOUN
esrj-80281	245	12	and	and	CCONJ
esrj-80281	245	13	gram	gram	NOUN
esrj-80281	245	14	-	-	PUNCT
esrj-80281	245	15	schmidt	schmidt	NOUN
esrj-80281	245	16	transform	transform	NOUN
esrj-80281	245	17	.	.	PUNCT
esrj-80281	246	1	acta	acta	PROPN
esrj-80281	246	2	geodaetica	geodaetica	PROPN
esrj-80281	246	3	et	et	PROPN
esrj-80281	246	4	cartographica	cartographica	PROPN
esrj-80281	246	5	sinica	sinica	PROPN
esrj-80281	246	6	,	,	PUNCT
esrj-80281	246	7	44(9	44(9	NOUN
esrj-80281	246	8	)	)	PUNCT
esrj-80281	246	9	,	,	PUNCT
esrj-80281	246	10	1042	1042	NUM
esrj-80281	246	11	-	-	SYM
esrj-80281	246	12	1047	1047	NUM
esrj-80281	246	13	zhang	zhang	PROPN
esrj-80281	246	14	,	,	PUNCT
esrj-80281	246	15	x.	x.	PROPN
esrj-80281	246	16	(	(	PUNCT
esrj-80281	246	17	2016	2016	NUM
esrj-80281	246	18	)	)	PUNCT
esrj-80281	246	19	.	.	PUNCT
esrj-80281	247	1	road	road	NOUN
esrj-80281	247	2	extraction	extraction	NOUN
esrj-80281	247	3	of	of	ADP
esrj-80281	247	4	high	high	ADJ
esrj-80281	247	5	-	-	PUNCT
esrj-80281	247	6	resolution	resolution	NOUN
esrj-80281	247	7	remote	remote	ADJ
esrj-80281	247	8	sensing	sensing	NOUN
esrj-80281	247	9	images	image	NOUN
esrj-80281	247	10	based	base	VERB
esrj-80281	247	11	on	on	ADP
esrj-80281	247	12	the	the	DET
esrj-80281	247	13	time	time	NOUN
esrj-80281	247	14	-	-	PUNCT
esrj-80281	247	15	frequency	frequency	NOUN
esrj-80281	247	16	feature	feature	NOUN
esrj-80281	247	17	and	and	CCONJ
esrj-80281	247	18	svm	svm	PROPN
esrj-80281	247	19	.	.	PROPN
esrj-80281	247	20	anhui	anhui	PROPN
esrj-80281	247	21	university	university	PROPN
esrj-80281	247	22	.	.	PUNCT
esrj-80281	248	1	zhao	zhao	PROPN
esrj-80281	248	2	,	,	PUNCT
esrj-80281	248	3	d.	d.	PROPN
esrj-80281	248	4	(	(	PUNCT
esrj-80281	248	5	2016	2016	NUM
esrj-80281	248	6	)	)	PUNCT
esrj-80281	248	7	.	.	PUNCT
esrj-80281	249	1	research	research	NOUN
esrj-80281	249	2	of	of	ADP
esrj-80281	249	3	high	high	ADJ
esrj-80281	249	4	resolution	resolution	NOUN
esrj-80281	249	5	remote	remote	ADJ
esrj-80281	249	6	sensing	sense	VERB
esrj-80281	249	7	image	image	NOUN
esrj-80281	249	8	segmentation	segmentation	NOUN
esrj-80281	249	9	based	base	VERB
esrj-80281	249	10	on	on	ADP
esrj-80281	249	11	modified	modified	PROPN
esrj-80281	249	12	watershed	watershed	PROPN
esrj-80281	249	13	.	.	PUNCT
esrj-80281	250	1	china	china	PROPN
esrj-80281	250	2	university	university	PROPN
esrj-80281	250	3	of	of	ADP
esrj-80281	250	4	geosciences	geoscience	NOUN
esrj-80281	250	5	(	(	PUNCT
esrj-80281	250	6	beijing	beijing	PROPN
esrj-80281	250	7	)	)	PUNCT
esrj-80281	250	8	.	.	PUNCT
esrj-80281	251	1	zhao	zhao	PROPN
esrj-80281	251	2	,	,	PUNCT
esrj-80281	251	3	x.	x.	PROPN
esrj-80281	251	4	,	,	PUNCT
esrj-80281	251	5	li	li	PROPN
esrj-80281	251	6	,	,	PUNCT
esrj-80281	251	7	y.	y.	PROPN
esrj-80281	251	8	,	,	PUNCT
esrj-80281	251	9	&	&	CCONJ
esrj-80281	251	10	lei	lei	PROPN
esrj-80281	251	11	,	,	PUNCT
esrj-80281	251	12	s.	s.	PROPN
esrj-80281	251	13	(	(	PUNCT
esrj-80281	251	14	2016	2016	NUM
esrj-80281	251	15	)	)	PUNCT
esrj-80281	251	16	.	.	PUNCT
esrj-80281	252	1	an	an	DET
esrj-80281	252	2	image	image	NOUN
esrj-80281	252	3	fusion	fusion	NOUN
esrj-80281	252	4	method	method	NOUN
esrj-80281	252	5	with	with	ADP
esrj-80281	252	6	sparse	sparse	ADJ
esrj-80281	252	7	representation	representation	NOUN
esrj-80281	252	8	based	base	VERB
esrj-80281	252	9	on	on	ADP
esrj-80281	252	10	genetic	genetic	ADJ
esrj-80281	252	11	algorithm	algorithm	NOUN
esrj-80281	252	12	optimization	optimization	NOUN
esrj-80281	252	13	.	.	PUNCT
esrj-80281	253	1	journal	journal	PROPN
esrj-80281	253	2	of	of	ADP
esrj-80281	253	3	beijing	beijing	PROPN
esrj-80281	253	4	university	university	PROPN
esrj-80281	253	5	of	of	ADP
esrj-80281	253	6	posts	post	NOUN
esrj-80281	253	7	and	and	CCONJ
esrj-80281	253	8	telecommunications	telecommunication	NOUN
esrj-80281	253	9	,	,	PUNCT
esrj-80281	253	10	02	02	NUM
esrj-80281	253	11	,	,	PUNCT
esrj-80281	253	12	73	73	NUM
esrj-80281	253	13	-	-	SYM
esrj-80281	253	14	76	76	NUM
esrj-80281	253	15	.	.	PUNCT