id	sid	tid	token	lemma	pos
esrj-85531	1	1	keywords	keyword	NOUN
esrj-85531	1	2	:	:	PUNCT
esrj-85531	1	3	geological	geological	ADJ
esrj-85531	1	4	ecology	ecology	NOUN
esrj-85531	1	5	;	;	PUNCT
esrj-85531	1	6	high	high	ADJ
esrj-85531	1	7	resolution	resolution	NOUN
esrj-85531	1	8	remote	remote	ADJ
esrj-85531	1	9	sensing	sensing	NOUN
esrj-85531	1	10	;	;	PUNCT
esrj-85531	1	11	sampling	sample	VERB
esrj-85531	1	12	point	point	NOUN
esrj-85531	1	13	;	;	PUNCT
esrj-85531	1	14	bing	bing	NOUN
esrj-85531	1	15	algorithm	algorithm	NOUN
esrj-85531	1	16	;	;	PUNCT
esrj-85531	1	17	selective	selective	ADJ
esrj-85531	1	18	search	search	NOUN
esrj-85531	1	19	algorithm	algorithm	NOUN
esrj-85531	1	20	.	.	PUNCT
esrj-85531	2	1	palabras	palabras	PROPN
esrj-85531	2	2	clave	clave	PROPN
esrj-85531	2	3	:	:	PUNCT
esrj-85531	2	4	geología	geología	PROPN
esrj-85531	2	5	ambiental	ambiental	NOUN
esrj-85531	2	6	;	;	PUNCT
esrj-85531	2	7	teledetección	teledetección	PROPN
esrj-85531	2	8	de	de	PROPN
esrj-85531	2	9	alta	alta	PROPN
esrj-85531	2	10	resolución	resolución	PROPN
esrj-85531	2	11	;	;	PUNCT
esrj-85531	2	12	punto	punto	PROPN
esrj-85531	2	13	de	de	PROPN
esrj-85531	2	14	muestreo	muestreo	PROPN
esrj-85531	2	15	;	;	PUNCT
esrj-85531	2	16	algoritmo	algoritmo	NOUN
esrj-85531	2	17	bing	bing	NOUN
esrj-85531	2	18	;	;	PUNCT
esrj-85531	2	19	algoritmo	algoritmo	PROPN
esrj-85531	2	20	de	de	PROPN
esrj-85531	2	21	búsqueda	búsqueda	PROPN
esrj-85531	2	22	selectiva	selectiva	PROPN
esrj-85531	2	23	.	.	PUNCT
esrj-85531	3	1	how	how	SCONJ
esrj-85531	3	2	to	to	PART
esrj-85531	3	3	cite	cite	VERB
esrj-85531	3	4	item	item	NOUN
esrj-85531	3	5	bi	bi	NOUN
esrj-85531	3	6	,	,	PUNCT
esrj-85531	3	7	t.	t.	PROPN
esrj-85531	3	8	(	(	PUNCT
esrj-85531	3	9	2020	2020	NUM
esrj-85531	3	10	)	)	PUNCT
esrj-85531	3	11	.	.	PUNCT
esrj-85531	4	1	optimal	optimal	ADJ
esrj-85531	4	2	allocation	allocation	NOUN
esrj-85531	4	3	algorithm	algorithm	NOUN
esrj-85531	4	4	of	of	ADP
esrj-85531	4	5	geological	geological	ADJ
esrj-85531	4	6	and	and	CCONJ
esrj-85531	4	7	ecological	ecological	ADJ
esrj-85531	4	8	high	high	ADJ
esrj-85531	4	9	-	-	PUNCT
esrj-85531	4	10	resolution	resolution	NOUN
esrj-85531	4	11	remote	remote	ADJ
esrj-85531	4	12	sensing	sense	VERB
esrj-85531	4	13	monitoring	monitoring	NOUN
esrj-85531	4	14	sampling	sample	VERB
esrj-85531	4	15	points	point	NOUN
esrj-85531	4	16	.	.	PUNCT
esrj-85531	5	1	earth	earth	PROPN
esrj-85531	5	2	sciences	sciences	PROPN
esrj-85531	5	3	research	research	PROPN
esrj-85531	5	4	journal	journal	PROPN
esrj-85531	5	5	,	,	PUNCT
esrj-85531	5	6	24(1	24(1	NUM
esrj-85531	5	7	)	)	PUNCT
esrj-85531	5	8	,	,	PUNCT
esrj-85531	5	9	105	105	NUM
esrj-85531	5	10	-	-	SYM
esrj-85531	5	11	110	110	NUM
esrj-85531	5	12	.	.	PUNCT
esrj-85531	6	1	doi	doi	NOUN
esrj-85531	6	2	:	:	PUNCT
esrj-85531	6	3	https://doi.org/10.15446/esrj	https://doi.org/10.15446/esrj	NOUN
esrj-85531	6	4	.	.	PUNCT
esrj-85531	7	1	v24n1.85531	v24n1.85531	PROPN
esrj-85531	7	2	the	the	DET
esrj-85531	7	3	purpose	purpose	NOUN
esrj-85531	7	4	of	of	ADP
esrj-85531	7	5	this	this	DET
esrj-85531	7	6	study	study	NOUN
esrj-85531	7	7	is	be	AUX
esrj-85531	7	8	to	to	PART
esrj-85531	7	9	solve	solve	VERB
esrj-85531	7	10	the	the	DET
esrj-85531	7	11	problem	problem	NOUN
esrj-85531	7	12	of	of	ADP
esrj-85531	7	13	an	an	DET
esrj-85531	7	14	unsatisfactory	unsatisfactory	ADJ
esrj-85531	7	15	image	image	NOUN
esrj-85531	7	16	representation	representation	NOUN
esrj-85531	7	17	of	of	ADP
esrj-85531	7	18	monitoring	monitor	VERB
esrj-85531	7	19	sampling	sample	VERB
esrj-85531	7	20	points	point	NOUN
esrj-85531	7	21	in	in	ADP
esrj-85531	7	22	high	high	ADJ
esrj-85531	7	23	-	-	PUNCT
esrj-85531	7	24	resolution	resolution	NOUN
esrj-85531	7	25	remote	remote	ADJ
esrj-85531	7	26	sensing	sensing	NOUN
esrj-85531	7	27	due	due	ADP
esrj-85531	7	28	to	to	ADP
esrj-85531	7	29	the	the	DET
esrj-85531	7	30	complexity	complexity	NOUN
esrj-85531	7	31	of	of	ADP
esrj-85531	7	32	geological	geological	ADJ
esrj-85531	7	33	ecology	ecology	NOUN
esrj-85531	7	34	.	.	PUNCT
esrj-85531	8	1	firstly	firstly	ADV
esrj-85531	8	2	,	,	PUNCT
esrj-85531	8	3	three	three	NUM
esrj-85531	8	4	algorithms	algorithm	NOUN
esrj-85531	8	5	used	use	VERB
esrj-85531	8	6	in	in	ADP
esrj-85531	8	7	remote	remote	ADJ
esrj-85531	8	8	sensing	sense	VERB
esrj-85531	8	9	technology	technology	NOUN
esrj-85531	8	10	were	be	AUX
esrj-85531	8	11	introduced	introduce	VERB
esrj-85531	8	12	,	,	PUNCT
esrj-85531	8	13	that	that	ADV
esrj-85531	8	14	is	is	ADV
esrj-85531	8	15	,	,	PUNCT
esrj-85531	8	16	extraction	extraction	NOUN
esrj-85531	8	17	algorithm	algorithm	NOUN
esrj-85531	8	18	of	of	ADP
esrj-85531	8	19	monitoring	monitor	VERB
esrj-85531	8	20	sampling	sample	VERB
esrj-85531	8	21	point	point	NOUN
esrj-85531	8	22	(	(	PUNCT
esrj-85531	8	23	selective	selective	ADJ
esrj-85531	8	24	search	search	NOUN
esrj-85531	8	25	algorithm	algorithm	NOUN
esrj-85531	8	26	)	)	PUNCT
esrj-85531	8	27	,	,	PUNCT
esrj-85531	8	28	discriminant	discriminant	ADJ
esrj-85531	8	29	algorithm	algorithm	NOUN
esrj-85531	8	30	(	(	PUNCT
esrj-85531	8	31	support	support	NOUN
esrj-85531	8	32	vector	vector	NOUN
esrj-85531	8	33	machine	machine	NOUN
esrj-85531	8	34	)	)	PUNCT
esrj-85531	8	35	,	,	PUNCT
esrj-85531	8	36	and	and	CCONJ
esrj-85531	8	37	bing	bing	NOUN
esrj-85531	8	38	algorithm	algorithm	NOUN
esrj-85531	8	39	.	.	PUNCT
esrj-85531	9	1	then	then	ADV
esrj-85531	9	2	,	,	PUNCT
esrj-85531	9	3	the	the	DET
esrj-85531	9	4	bing	bing	NOUN
esrj-85531	9	5	algorithm	algorithm	NOUN
esrj-85531	9	6	was	be	AUX
esrj-85531	9	7	improved	improve	VERB
esrj-85531	9	8	.	.	PUNCT
esrj-85531	10	1	finally	finally	ADV
esrj-85531	10	2	,	,	PUNCT
esrj-85531	10	3	the	the	DET
esrj-85531	10	4	superiority	superiority	NOUN
esrj-85531	10	5	of	of	ADP
esrj-85531	10	6	the	the	DET
esrj-85531	10	7	improved	improved	ADJ
esrj-85531	10	8	bing	bing	NOUN
esrj-85531	10	9	algorithm	algorithm	NOUN
esrj-85531	10	10	was	be	AUX
esrj-85531	10	11	verified	verify	VERB
esrj-85531	10	12	through	through	ADP
esrj-85531	10	13	the	the	DET
esrj-85531	10	14	experimental	experimental	ADJ
esrj-85531	10	15	data	datum	NOUN
esrj-85531	10	16	set	set	VERB
esrj-85531	10	17	.	.	PUNCT
esrj-85531	11	1	the	the	DET
esrj-85531	11	2	results	result	NOUN
esrj-85531	11	3	showed	show	VERB
esrj-85531	11	4	that	that	SCONJ
esrj-85531	11	5	the	the	DET
esrj-85531	11	6	selective	selective	ADJ
esrj-85531	11	7	search	search	NOUN
esrj-85531	11	8	algorithm	algorithm	NOUN
esrj-85531	11	9	could	could	AUX
esrj-85531	11	10	generate	generate	VERB
esrj-85531	11	11	more	more	ADJ
esrj-85531	11	12	candidate	candidate	NOUN
esrj-85531	11	13	windows	window	NOUN
esrj-85531	11	14	in	in	ADP
esrj-85531	11	15	remote	remote	ADJ
esrj-85531	11	16	sensing	sensing	NOUN
esrj-85531	11	17	images	image	NOUN
esrj-85531	11	18	and	and	CCONJ
esrj-85531	11	19	had	have	VERB
esrj-85531	11	20	better	well	ADJ
esrj-85531	11	21	adaptability	adaptability	NOUN
esrj-85531	11	22	.	.	PUNCT
esrj-85531	12	1	the	the	DET
esrj-85531	12	2	improved	improved	ADJ
esrj-85531	12	3	algorithm	algorithm	NOUN
esrj-85531	12	4	had	have	VERB
esrj-85531	12	5	a	a	DET
esrj-85531	12	6	higher	high	ADJ
esrj-85531	12	7	quality	quality	NOUN
esrj-85531	12	8	of	of	ADP
esrj-85531	12	9	candidate	candidate	NOUN
esrj-85531	12	10	windows	window	NOUN
esrj-85531	12	11	extracted	extract	VERB
esrj-85531	12	12	from	from	ADP
esrj-85531	12	13	remote	remote	ADJ
esrj-85531	12	14	sensing	sensing	NOUN
esrj-85531	12	15	images	image	NOUN
esrj-85531	12	16	.	.	PUNCT
esrj-85531	13	1	although	although	SCONJ
esrj-85531	13	2	the	the	DET
esrj-85531	13	3	ibing	ibe	VERB
esrj-85531	13	4	algorithm	algorithm	NOUN
esrj-85531	13	5	could	could	AUX
esrj-85531	13	6	significantly	significantly	ADV
esrj-85531	13	7	improve	improve	VERB
esrj-85531	13	8	the	the	DET
esrj-85531	13	9	extraction	extraction	NOUN
esrj-85531	13	10	speed	speed	NOUN
esrj-85531	13	11	of	of	ADP
esrj-85531	13	12	remote	remote	ADJ
esrj-85531	13	13	sensing	sensing	NOUN
esrj-85531	13	14	,	,	PUNCT
esrj-85531	13	15	the	the	DET
esrj-85531	13	16	detection	detection	NOUN
esrj-85531	13	17	time	time	NOUN
esrj-85531	13	18	of	of	ADP
esrj-85531	13	19	each	each	DET
esrj-85531	13	20	image	image	NOUN
esrj-85531	13	21	became	become	VERB
esrj-85531	13	22	larger	large	ADJ
esrj-85531	13	23	.	.	PUNCT
esrj-85531	14	1	such	such	ADJ
esrj-85531	14	2	testing	testing	NOUN
esrj-85531	14	3	times	time	NOUN
esrj-85531	14	4	were	be	AUX
esrj-85531	14	5	still	still	ADV
esrj-85531	14	6	acceptable	acceptable	ADJ
esrj-85531	14	7	.	.	PUNCT
esrj-85531	15	1	therefore	therefore	ADV
esrj-85531	15	2	,	,	PUNCT
esrj-85531	15	3	in	in	ADP
esrj-85531	15	4	this	this	DET
esrj-85531	15	5	research	research	NOUN
esrj-85531	15	6	,	,	PUNCT
esrj-85531	15	7	the	the	DET
esrj-85531	15	8	allocation	allocation	NOUN
esrj-85531	15	9	algorithm	algorithm	NOUN
esrj-85531	15	10	of	of	ADP
esrj-85531	15	11	geological	geological	ADJ
esrj-85531	15	12	and	and	CCONJ
esrj-85531	15	13	ecological	ecological	ADJ
esrj-85531	15	14	high	high	ADJ
esrj-85531	15	15	-	-	PUNCT
esrj-85531	15	16	resolution	resolution	NOUN
esrj-85531	15	17	remote	remote	ADJ
esrj-85531	15	18	sensing	sense	VERB
esrj-85531	15	19	monitoring	monitoring	NOUN
esrj-85531	15	20	sampling	sample	VERB
esrj-85531	15	21	points	point	NOUN
esrj-85531	15	22	was	be	AUX
esrj-85531	15	23	optimized	optimize	VERB
esrj-85531	15	24	,	,	PUNCT
esrj-85531	15	25	which	which	PRON
esrj-85531	15	26	had	have	VERB
esrj-85531	15	27	a	a	DET
esrj-85531	15	28	good	good	ADJ
esrj-85531	15	29	guiding	guiding	NOUN
esrj-85531	15	30	significance	significance	NOUN
esrj-85531	15	31	for	for	ADP
esrj-85531	15	32	the	the	DET
esrj-85531	15	33	application	application	NOUN
esrj-85531	15	34	of	of	ADP
esrj-85531	15	35	remote	remote	ADJ
esrj-85531	15	36	sensing	sense	VERB
esrj-85531	15	37	technology	technology	NOUN
esrj-85531	15	38	in	in	ADP
esrj-85531	15	39	environmental	environmental	ADJ
esrj-85531	15	40	and	and	CCONJ
esrj-85531	15	41	geological	geological	ADJ
esrj-85531	15	42	research	research	NOUN
esrj-85531	15	43	.	.	PUNCT
esrj-85531	16	1	abstract	abstract	ADJ
esrj-85531	16	2	optimal	optimal	ADJ
esrj-85531	16	3	allocation	allocation	NOUN
esrj-85531	16	4	algorithm	algorithm	NOUN
esrj-85531	16	5	of	of	ADP
esrj-85531	16	6	geological	geological	ADJ
esrj-85531	16	7	and	and	CCONJ
esrj-85531	16	8	ecological	ecological	ADJ
esrj-85531	16	9	high	high	ADJ
esrj-85531	16	10	-	-	PUNCT
esrj-85531	16	11	resolution	resolution	NOUN
esrj-85531	16	12	remote	remote	ADJ
esrj-85531	16	13	sensing	sense	VERB
esrj-85531	16	14	monitoring	monitoring	NOUN
esrj-85531	16	15	sampling	sample	VERB
esrj-85531	16	16	points	point	NOUN
esrj-85531	16	17	algoritmo	algoritmo	PROPN
esrj-85531	16	18	de	de	PROPN
esrj-85531	16	19	asignación	asignación	PROPN
esrj-85531	16	20	óptima	óptima	PROPN
esrj-85531	16	21	de	de	X
esrj-85531	16	22	puntos	puntos	PROPN
esrj-85531	16	23	de	de	X
esrj-85531	16	24	muestreo	muestreo	PROPN
esrj-85531	16	25	de	de	PROPN
esrj-85531	16	26	monitoreo	monitoreo	PROPN
esrj-85531	16	27	de	de	X
esrj-85531	16	28	detección	detección	PROPN
esrj-85531	16	29	remota	remota	PROPN
esrj-85531	16	30	geológica	geológica	PROPN
esrj-85531	16	31	y	y	PROPN
esrj-85531	16	32	ecológica	ecológica	PROPN
esrj-85531	16	33	de	de	PROPN
esrj-85531	16	34	alta	alta	PROPN
esrj-85531	16	35	resolución	resolución	PROPN
esrj-85531	16	36	issn	issn	PROPN
esrj-85531	16	37	1794	1794	NUM
esrj-85531	16	38	-	-	SYM
esrj-85531	16	39	6190	6190	NUM
esrj-85531	16	40	e	e	NOUN
esrj-85531	16	41	-	-	NOUN
esrj-85531	16	42	issn	issn	PROPN
esrj-85531	16	43	2339	2339	NUM
esrj-85531	16	44	-	-	SYM
esrj-85531	16	45	3459	3459	NUM
esrj-85531	16	46	https://doi.org/10.15446/esrj.v24n1.85531	https://doi.org/10.15446/esrj.v24n1.85531	NUM
esrj-85531	16	47	el	el	PROPN
esrj-85531	16	48	propósito	propósito	PROPN
esrj-85531	16	49	de	de	X
esrj-85531	16	50	este	este	X
esrj-85531	16	51	estudio	estudio	PROPN
esrj-85531	16	52	es	es	PROPN
esrj-85531	16	53	resolver	resolver	PROPN
esrj-85531	16	54	el	el	PROPN
esrj-85531	16	55	problema	problema	PROPN
esrj-85531	16	56	de	de	X
esrj-85531	16	57	la	la	X
esrj-85531	16	58	representación	representación	X
esrj-85531	16	59	de	de	X
esrj-85531	16	60	imagen	imagen	PROPN
esrj-85531	16	61	insatisfactoria	insatisfactoria	PROPN
esrj-85531	16	62	de	de	X
esrj-85531	16	63	los	los	PROPN
esrj-85531	16	64	puntos	puntos	PROPN
esrj-85531	16	65	de	de	PROPN
esrj-85531	16	66	muestreo	muestreo	PROPN
esrj-85531	16	67	de	de	X
esrj-85531	16	68	monitoreo	monitoreo	PROPN
esrj-85531	16	69	en	en	X
esrj-85531	16	70	la	la	PROPN
esrj-85531	16	71	teledetección	teledetección	PROPN
esrj-85531	16	72	de	de	PROPN
esrj-85531	16	73	alta	alta	PROPN
esrj-85531	16	74	resolución	resolución	X
esrj-85531	16	75	debido	debido	PROPN
esrj-85531	16	76	a	a	X
esrj-85531	16	77	la	la	X
esrj-85531	16	78	complejidad	complejidad	PROPN
esrj-85531	16	79	de	de	X
esrj-85531	16	80	la	la	PROPN
esrj-85531	16	81	ecología	ecología	PROPN
esrj-85531	16	82	geológica	geológica	NOUN
esrj-85531	16	83	.	.	PUNCT
esrj-85531	17	1	en	en	ADP
esrj-85531	17	2	primer	primer	PROPN
esrj-85531	17	3	lugar	lugar	PROPN
esrj-85531	17	4	,	,	PUNCT
esrj-85531	17	5	se	se	PROPN
esrj-85531	17	6	introdujeron	introdujeron	PROPN
esrj-85531	17	7	tres	tres	X
esrj-85531	17	8	algoritmos	algoritmos	PROPN
esrj-85531	17	9	utilizados	utilizados	PROPN
esrj-85531	17	10	en	en	X
esrj-85531	17	11	la	la	PROPN
esrj-85531	17	12	tecnología	tecnología	PROPN
esrj-85531	17	13	de	de	X
esrj-85531	17	14	detección	detección	PROPN
esrj-85531	17	15	remota	remota	PROPN
esrj-85531	17	16	,	,	PUNCT
esrj-85531	17	17	a	a	DET
esrj-85531	17	18	saber	saber	NOUN
esrj-85531	17	19	,	,	PUNCT
esrj-85531	17	20	el	el	PROPN
esrj-85531	17	21	algoritmo	algoritmo	PROPN
esrj-85531	17	22	de	de	PROPN
esrj-85531	17	23	extracción	extracción	PROPN
esrj-85531	17	24	del	del	PROPN
esrj-85531	17	25	punto	punto	PROPN
esrj-85531	17	26	de	de	PROPN
esrj-85531	17	27	muestreo	muestreo	PROPN
esrj-85531	17	28	de	de	PROPN
esrj-85531	17	29	monitoreo	monitoreo	PROPN
esrj-85531	17	30	(	(	PUNCT
esrj-85531	17	31	algoritmo	algoritmo	PROPN
esrj-85531	17	32	de	de	PROPN
esrj-85531	17	33	búsqueda	búsqueda	PROPN
esrj-85531	17	34	selectiva	selectiva	PROPN
esrj-85531	17	35	)	)	PUNCT
esrj-85531	17	36	,	,	PUNCT
esrj-85531	17	37	el	el	PROPN
esrj-85531	17	38	algoritmo	algoritmo	PROPN
esrj-85531	17	39	discriminante	discriminante	PROPN
esrj-85531	17	40	(	(	PUNCT
esrj-85531	17	41	máquina	máquina	PROPN
esrj-85531	17	42	de	de	PROPN
esrj-85531	17	43	vectores	vectores	PROPN
esrj-85531	17	44	de	de	X
esrj-85531	17	45	soporte	soporte	NOUN
esrj-85531	17	46	)	)	PUNCT
esrj-85531	18	1	y	y	PROPN
esrj-85531	18	2	el	el	PROPN
esrj-85531	18	3	algoritmo	algoritmo	PROPN
esrj-85531	18	4	bing	bing	NOUN
esrj-85531	18	5	.	.	PUNCT
esrj-85531	19	1	luego	luego	PROPN
esrj-85531	19	2	de	de	PROPN
esrj-85531	19	3	esto	esto	PROPN
esrj-85531	19	4	el	el	PROPN
esrj-85531	19	5	algoritmo	algoritmo	PROPN
esrj-85531	19	6	bing	bing	VERB
esrj-85531	19	7	fue	fue	PROPN
esrj-85531	19	8	mejorado	mejorado	X
esrj-85531	19	9	.	.	PUNCT
esrj-85531	20	1	finalmente	finalmente	PROPN
esrj-85531	20	2	,	,	PUNCT
esrj-85531	20	3	la	la	PROPN
esrj-85531	20	4	superioridad	superioridad	PROPN
esrj-85531	20	5	del	del	PROPN
esrj-85531	20	6	algoritmo	algoritmo	PROPN
esrj-85531	20	7	bing	bing	NOUN
esrj-85531	20	8	mejorado	mejorado	X
esrj-85531	20	9	se	se	X
esrj-85531	20	10	verificó	verificó	PROPN
esrj-85531	20	11	con	con	PROPN
esrj-85531	20	12	base	base	PROPN
esrj-85531	20	13	en	en	PROPN
esrj-85531	20	14	un	un	PROPN
esrj-85531	20	15	conjunto	conjunto	PROPN
esrj-85531	20	16	de	de	PROPN
esrj-85531	20	17	datos	datos	PROPN
esrj-85531	20	18	experimentales	experimentales	PROPN
esrj-85531	20	19	.	.	PUNCT
esrj-85531	21	1	los	los	PROPN
esrj-85531	21	2	resultados	resultados	PROPN
esrj-85531	21	3	mostraron	mostraron	PROPN
esrj-85531	21	4	que	que	PROPN
esrj-85531	21	5	el	el	PROPN
esrj-85531	21	6	algoritmo	algoritmo	PROPN
esrj-85531	21	7	de	de	PROPN
esrj-85531	21	8	búsqueda	búsqueda	PROPN
esrj-85531	21	9	selectiva	selectiva	NOUN
esrj-85531	21	10	podía	podía	X
esrj-85531	21	11	generar	generar	PROPN
esrj-85531	21	12	un	un	PROPN
esrj-85531	21	13	mayor	mayor	PROPN
esrj-85531	21	14	número	número	PROPN
esrj-85531	21	15	de	de	PROPN
esrj-85531	21	16	ventanas	ventanas	PROPN
esrj-85531	21	17	candidatas	candidata	NOUN
esrj-85531	21	18	en	en	X
esrj-85531	21	19	la	la	PROPN
esrj-85531	21	20	imagen	imagen	PROPN
esrj-85531	21	21	de	de	PROPN
esrj-85531	21	22	teledetección	teledetección	PROPN
esrj-85531	21	23	y	y	PROPN
esrj-85531	21	24	tenía	tenía	PROPN
esrj-85531	21	25	una	una	PROPN
esrj-85531	21	26	mejor	mejor	PROPN
esrj-85531	21	27	adaptabilidad	adaptabilidad	PROPN
esrj-85531	21	28	.	.	PUNCT
esrj-85531	22	1	el	el	PROPN
esrj-85531	22	2	algoritmo	algoritmo	PROPN
esrj-85531	22	3	mejorado	mejorado	PROPN
esrj-85531	22	4	tenía	tenía	PROPN
esrj-85531	22	5	mayor	mayor	PROPN
esrj-85531	22	6	calidad	calidad	PROPN
esrj-85531	22	7	de	de	PROPN
esrj-85531	22	8	ventanas	ventanas	PROPN
esrj-85531	22	9	candidatas	candidatas	PROPN
esrj-85531	22	10	extraídas	extraídas	PROPN
esrj-85531	22	11	de	de	X
esrj-85531	22	12	imágenes	imágenes	PROPN
esrj-85531	22	13	de	de	PROPN
esrj-85531	22	14	teledetección	teledetección	PROPN
esrj-85531	22	15	.	.	PUNCT
esrj-85531	23	1	aunque	aunque	PROPN
esrj-85531	23	2	el	el	PROPN
esrj-85531	23	3	algoritmo	algoritmo	PROPN
esrj-85531	23	4	ibing	ibe	VERB
esrj-85531	23	5	podría	podría	NOUN
esrj-85531	23	6	mejorar	mejorar	NOUN
esrj-85531	23	7	en	en	ADP
esrj-85531	23	8	gran	gran	PROPN
esrj-85531	23	9	medida	medida	PROPN
esrj-85531	23	10	la	la	PROPN
esrj-85531	23	11	velocidad	velocidad	PROPN
esrj-85531	23	12	de	de	X
esrj-85531	23	13	extracción	extracción	PROPN
esrj-85531	23	14	de	de	PROPN
esrj-85531	23	15	la	la	PROPN
esrj-85531	23	16	teledetección	teledetección	PROPN
esrj-85531	23	17	,	,	PUNCT
esrj-85531	23	18	el	el	PROPN
esrj-85531	23	19	tiempo	tiempo	PROPN
esrj-85531	23	20	de	de	X
esrj-85531	23	21	detección	detección	PROPN
esrj-85531	23	22	de	de	PROPN
esrj-85531	23	23	cada	cada	PROPN
esrj-85531	23	24	imagen	imagen	PROPN
esrj-85531	23	25	se	se	PROPN
esrj-85531	23	26	hizo	hizo	PROPN
esrj-85531	23	27	mayor	mayor	PROPN
esrj-85531	23	28	.	.	PUNCT
esrj-85531	24	1	estos	estos	PROPN
esrj-85531	24	2	tiempos	tiempos	PROPN
esrj-85531	24	3	de	de	PROPN
esrj-85531	24	4	prueba	prueba	PROPN
esrj-85531	24	5	aún	aún	PROPN
esrj-85531	24	6	eran	eran	PROPN
esrj-85531	24	7	aceptables	aceptable	NOUN
esrj-85531	24	8	.	.	PUNCT
esrj-85531	25	1	por	por	NOUN
esrj-85531	25	2	lo	lo	PROPN
esrj-85531	25	3	tanto	tanto	NOUN
esrj-85531	25	4	,	,	PUNCT
esrj-85531	25	5	en	en	PROPN
esrj-85531	25	6	esta	esta	PROPN
esrj-85531	25	7	investigación	investigación	PROPN
esrj-85531	25	8	se	se	PROPN
esrj-85531	25	9	optimizó	optimizó	PROPN
esrj-85531	25	10	el	el	PROPN
esrj-85531	25	11	algoritmo	algoritmo	PROPN
esrj-85531	25	12	de	de	PROPN
esrj-85531	25	13	asignación	asignación	PROPN
esrj-85531	25	14	de	de	PROPN
esrj-85531	25	15	puntos	puntos	PROPN
esrj-85531	25	16	de	de	PROPN
esrj-85531	25	17	muestreo	muestreo	PROPN
esrj-85531	25	18	de	de	PROPN
esrj-85531	25	19	monitoreo	monitoreo	PROPN
esrj-85531	25	20	de	de	X
esrj-85531	25	21	detección	detección	PROPN
esrj-85531	25	22	remota	remota	PROPN
esrj-85531	25	23	geológica	geológica	PROPN
esrj-85531	25	24	y	y	PROPN
esrj-85531	25	25	ecológica	ecológica	PROPN
esrj-85531	25	26	de	de	PROPN
esrj-85531	25	27	alta	alta	PROPN
esrj-85531	25	28	resolución	resolución	PROPN
esrj-85531	25	29	,	,	PUNCT
esrj-85531	25	30	que	que	PROPN
esrj-85531	25	31	tenía	tenía	PROPN
esrj-85531	25	32	una	una	PROPN
esrj-85531	25	33	alta	alta	PROPN
esrj-85531	25	34	importancia	importancia	PROPN
esrj-85531	25	35	orientadora	orientadora	PROPN
esrj-85531	25	36	para	para	PROPN
esrj-85531	25	37	la	la	PROPN
esrj-85531	25	38	aplicación	aplicación	PROPN
esrj-85531	25	39	de	de	PROPN
esrj-85531	25	40	la	la	PROPN
esrj-85531	25	41	tecnología	tecnología	PROPN
esrj-85531	25	42	de	de	X
esrj-85531	25	43	detección	detección	PROPN
esrj-85531	25	44	remota	remota	X
esrj-85531	25	45	en	en	X
esrj-85531	25	46	la	la	PROPN
esrj-85531	25	47	investigación	investigación	PROPN
esrj-85531	25	48	geológica	geológica	PROPN
esrj-85531	25	49	y	y	PROPN
esrj-85531	25	50	ecológica	ecológica	PROPN
esrj-85531	25	51	.	.	PUNCT
esrj-85531	26	1	resumen	resumen	PROPN
esrj-85531	26	2	record	record	PROPN
esrj-85531	26	3	manuscript	manuscript	NOUN
esrj-85531	26	4	received	receive	VERB
esrj-85531	26	5	:	:	PUNCT
esrj-85531	26	6	06/01/2019	06/01/2019	NUM
esrj-85531	26	7	accepted	accept	VERB
esrj-85531	26	8	for	for	ADP
esrj-85531	26	9	publication	publication	NOUN
esrj-85531	26	10	:	:	PUNCT
esrj-85531	26	11	26/07/2019	26/07/2019	NUM
esrj-85531	26	12	earth	earth	NOUN
esrj-85531	26	13	sciences	sciences	PROPN
esrj-85531	26	14	research	research	PROPN
esrj-85531	26	15	journal	journal	PROPN
esrj-85531	26	16	earth	earth	PROPN
esrj-85531	26	17	sci	sci	PROPN
esrj-85531	26	18	.	.	PUNCT
esrj-85531	27	1	res	res	PROPN
esrj-85531	27	2	.	.	PUNCT
esrj-85531	28	1	j.	j.	PROPN
esrj-85531	28	2	vol	vol	PROPN
esrj-85531	28	3	.	.	PROPN
esrj-85531	29	1	24	24	NUM
esrj-85531	29	2	,	,	PUNCT
esrj-85531	29	3	no	no	INTJ
esrj-85531	29	4	.	.	NOUN
esrj-85531	29	5	1	1	NUM
esrj-85531	29	6	(	(	PUNCT
esrj-85531	29	7	march	march	NOUN
esrj-85531	29	8	,	,	PUNCT
esrj-85531	29	9	2020	2020	NUM
esrj-85531	29	10	):	):	PUNCT
esrj-85531	29	11	105	105	NUM
esrj-85531	29	12	-	-	SYM
esrj-85531	29	13	110	110	NUM
esrj-85531	29	14	taifu	taifu	VERB
esrj-85531	29	15	bi	bi	PROPN
esrj-85531	29	16	1key	1key	PROPN
esrj-85531	29	17	laboratory	laboratory	NOUN
esrj-85531	29	18	of	of	ADP
esrj-85531	29	19	regional	regional	ADJ
esrj-85531	29	20	environment	environment	NOUN
esrj-85531	29	21	and	and	CCONJ
esrj-85531	29	22	eco	eco	NOUN
esrj-85531	29	23	-	-	PUNCT
esrj-85531	29	24	restoration	restoration	NOUN
esrj-85531	29	25	,	,	PUNCT
esrj-85531	29	26	shenyang	shenyang	PROPN
esrj-85531	29	27	university	university	PROPN
esrj-85531	29	28	,	,	PUNCT
esrj-85531	29	29	shenyang	shenyang	PROPN
esrj-85531	29	30	liaoning	liaoning	PROPN
esrj-85531	29	31	110044	110044	NUM
esrj-85531	29	32	,	,	PUNCT
esrj-85531	29	33	china	china	PROPN
esrj-85531	29	34	*	*	PUNCT
esrj-85531	29	35	corresponding	correspond	VERB
esrj-85531	29	36	author	author	NOUN
esrj-85531	29	37	:	:	PUNCT
esrj-85531	29	38	co	co	VERB
esrj-85531	29	39	m	m	VERB
esrj-85531	29	40	pu	pu	PROPN
esrj-85531	30	1	te	te	PROPN
esrj-85531	30	2	r	r	PROPN
esrj-85531	30	3	s	s	PROPN
esrj-85531	30	4	ci	ci	PROPN
esrj-85531	30	5	en	en	PROPN
esrj-85531	30	6	ce	ce	PROPN
esrj-85531	30	7	ap	ap	PROPN
esrj-85531	30	8	pl	pl	PROPN
esrj-85531	30	9	ie	ie	PROPN
esrj-85531	30	10	d	d	PROPN
esrj-85531	30	11	t	t	NOUN
esrj-85531	30	12	o	o	X
esrj-85531	30	13	ge	ge	PROPN
esrj-85531	30	14	ol	ol	PROPN
esrj-85531	30	15	og	og	PROPN
esrj-85531	30	16	y	y	PROPN
esrj-85531	30	17	106	106	NUM
esrj-85531	30	18	taifu	taifu	VERB
esrj-85531	30	19	bi	bi	ADJ
esrj-85531	30	20	introduction	introduction	NOUN
esrj-85531	30	21	the	the	DET
esrj-85531	30	22	existing	exist	VERB
esrj-85531	30	23	remote	remote	ADJ
esrj-85531	30	24	sensing	sense	VERB
esrj-85531	30	25	technology	technology	NOUN
esrj-85531	30	26	has	have	VERB
esrj-85531	30	27	many	many	ADJ
esrj-85531	30	28	advantages	advantage	NOUN
esrj-85531	30	29	,	,	PUNCT
esrj-85531	30	30	such	such	ADJ
esrj-85531	30	31	as	as	ADP
esrj-85531	30	32	wide	wide	ADJ
esrj-85531	30	33	coverage	coverage	NOUN
esrj-85531	30	34	,	,	PUNCT
esrj-85531	30	35	fast	fast	ADV
esrj-85531	30	36	updating	update	VERB
esrj-85531	30	37	speed	speed	NOUN
esrj-85531	30	38	and	and	CCONJ
esrj-85531	30	39	large	large	ADJ
esrj-85531	30	40	amount	amount	NOUN
esrj-85531	30	41	of	of	ADP
esrj-85531	30	42	information	information	NOUN
esrj-85531	30	43	.	.	PUNCT
esrj-85531	31	1	the	the	DET
esrj-85531	31	2	above	above	ADJ
esrj-85531	31	3	advantages	advantage	NOUN
esrj-85531	31	4	enable	enable	VERB
esrj-85531	31	5	remote	remote	ADJ
esrj-85531	31	6	sensing	sense	VERB
esrj-85531	31	7	technology	technology	NOUN
esrj-85531	31	8	to	to	PART
esrj-85531	31	9	acquire	acquire	VERB
esrj-85531	31	10	large	large	ADJ
esrj-85531	31	11	range	range	NOUN
esrj-85531	31	12	of	of	ADP
esrj-85531	31	13	data	datum	NOUN
esrj-85531	31	14	in	in	ADP
esrj-85531	31	15	a	a	DET
esrj-85531	31	16	relatively	relatively	ADV
esrj-85531	31	17	short	short	ADJ
esrj-85531	31	18	time	time	NOUN
esrj-85531	31	19	,	,	PUNCT
esrj-85531	31	20	so	so	ADV
esrj-85531	31	21	remote	remote	ADJ
esrj-85531	31	22	sensing	sense	VERB
esrj-85531	31	23	technology	technology	NOUN
esrj-85531	31	24	is	be	AUX
esrj-85531	31	25	widely	widely	ADV
esrj-85531	31	26	used	use	VERB
esrj-85531	31	27	.	.	PUNCT
esrj-85531	32	1	at	at	ADP
esrj-85531	32	2	present	present	ADJ
esrj-85531	32	3	,	,	PUNCT
esrj-85531	32	4	it	it	PRON
esrj-85531	32	5	is	be	AUX
esrj-85531	32	6	most	most	ADV
esrj-85531	32	7	widely	widely	ADV
esrj-85531	32	8	used	use	VERB
esrj-85531	32	9	in	in	ADP
esrj-85531	32	10	environmental	environmental	ADJ
esrj-85531	32	11	and	and	CCONJ
esrj-85531	32	12	geological	geological	ADJ
esrj-85531	32	13	fields	field	NOUN
esrj-85531	32	14	,	,	PUNCT
esrj-85531	32	15	which	which	PRON
esrj-85531	32	16	can	can	AUX
esrj-85531	32	17	monitor	monitor	VERB
esrj-85531	32	18	soil	soil	NOUN
esrj-85531	32	19	erosion	erosion	NOUN
esrj-85531	32	20	,	,	PUNCT
esrj-85531	32	21	environmental	environmental	ADJ
esrj-85531	32	22	protection	protection	NOUN
esrj-85531	32	23	,	,	PUNCT
esrj-85531	32	24	vegetation	vegetation	NOUN
esrj-85531	32	25	cover	cover	NOUN
esrj-85531	32	26	and	and	CCONJ
esrj-85531	32	27	land	land	NOUN
esrj-85531	32	28	use	use	NOUN
esrj-85531	32	29	(	(	PUNCT
esrj-85531	32	30	gorji	gorji	NOUN
esrj-85531	32	31	et	et	NOUN
esrj-85531	32	32	al	al	PROPN
esrj-85531	32	33	.	.	PROPN
esrj-85531	32	34	,	,	PUNCT
esrj-85531	32	35	217	217	NUM
esrj-85531	32	36	)	)	PUNCT
esrj-85531	32	37	.	.	PUNCT
esrj-85531	33	1	remote	remote	ADJ
esrj-85531	33	2	sensing	sense	VERB
esrj-85531	33	3	technology	technology	NOUN
esrj-85531	33	4	can	can	AUX
esrj-85531	33	5	be	be	AUX
esrj-85531	33	6	divided	divide	VERB
esrj-85531	33	7	into	into	ADP
esrj-85531	33	8	broad	broad	ADJ
esrj-85531	33	9	sense	sense	NOUN
esrj-85531	33	10	and	and	CCONJ
esrj-85531	33	11	narrow	narrow	ADJ
esrj-85531	33	12	sense	sense	NOUN
esrj-85531	33	13	.	.	PUNCT
esrj-85531	34	1	in	in	ADP
esrj-85531	34	2	the	the	DET
esrj-85531	34	3	broad	broad	ADJ
esrj-85531	34	4	sense	sense	NOUN
esrj-85531	34	5	,	,	PUNCT
esrj-85531	34	6	it	it	PRON
esrj-85531	34	7	refers	refer	VERB
esrj-85531	34	8	to	to	ADP
esrj-85531	34	9	the	the	DET
esrj-85531	34	10	use	use	NOUN
esrj-85531	34	11	of	of	ADP
esrj-85531	34	12	remote	remote	ADJ
esrj-85531	34	13	non	non	ADJ
esrj-85531	34	14	-	-	NOUN
esrj-85531	34	15	contact	contact	NOUN
esrj-85531	34	16	means	mean	VERB
esrj-85531	34	17	to	to	PART
esrj-85531	34	18	capture	capture	VERB
esrj-85531	34	19	the	the	DET
esrj-85531	34	20	information	information	NOUN
esrj-85531	34	21	of	of	ADP
esrj-85531	34	22	monitoring	monitor	VERB
esrj-85531	34	23	research	research	NOUN
esrj-85531	34	24	objects	object	NOUN
esrj-85531	34	25	.	.	PUNCT
esrj-85531	35	1	in	in	ADP
esrj-85531	35	2	a	a	DET
esrj-85531	35	3	narrow	narrow	ADJ
esrj-85531	35	4	sense	sense	NOUN
esrj-85531	35	5	,	,	PUNCT
esrj-85531	35	6	the	the	DET
esrj-85531	35	7	specific	specific	ADJ
esrj-85531	35	8	meaning	meaning	NOUN
esrj-85531	35	9	refers	refer	VERB
esrj-85531	35	10	to	to	ADP
esrj-85531	35	11	the	the	DET
esrj-85531	35	12	technology	technology	NOUN
esrj-85531	35	13	that	that	PRON
esrj-85531	35	14	uses	use	VERB
esrj-85531	35	15	existing	exist	VERB
esrj-85531	35	16	space	space	NOUN
esrj-85531	35	17	technologies	technology	NOUN
esrj-85531	35	18	(	(	PUNCT
esrj-85531	35	19	satellites	satellite	NOUN
esrj-85531	35	20	or	or	CCONJ
esrj-85531	35	21	aircraft	aircraft	NOUN
esrj-85531	35	22	)	)	PUNCT
esrj-85531	35	23	as	as	ADP
esrj-85531	35	24	a	a	DET
esrj-85531	35	25	carrier	carrier	NOUN
esrj-85531	35	26	platform	platform	NOUN
esrj-85531	35	27	and	and	CCONJ
esrj-85531	35	28	carries	carry	VERB
esrj-85531	35	29	relevant	relevant	ADJ
esrj-85531	35	30	sensors	sensor	NOUN
esrj-85531	35	31	to	to	PART
esrj-85531	35	32	perceive	perceive	VERB
esrj-85531	35	33	or	or	CCONJ
esrj-85531	35	34	observe	observe	VERB
esrj-85531	35	35	some	some	DET
esrj-85531	35	36	characteristics	characteristic	NOUN
esrj-85531	35	37	of	of	ADP
esrj-85531	35	38	the	the	DET
esrj-85531	35	39	research	research	NOUN
esrj-85531	35	40	target	target	NOUN
esrj-85531	35	41	and	and	CCONJ
esrj-85531	35	42	analyze	analyze	VERB
esrj-85531	35	43	its	its	PRON
esrj-85531	35	44	characteristics	characteristic	NOUN
esrj-85531	35	45	(	(	PUNCT
esrj-85531	35	46	gao	gao	PROPN
esrj-85531	35	47	et	et	PROPN
esrj-85531	35	48	al	al	PROPN
esrj-85531	35	49	.	.	PROPN
esrj-85531	35	50	,	,	PUNCT
esrj-85531	35	51	2017	2017	NUM
esrj-85531	35	52	)	)	PUNCT
esrj-85531	35	53	.	.	PUNCT
esrj-85531	36	1	in	in	ADP
esrj-85531	36	2	remote	remote	ADJ
esrj-85531	36	3	sensing	sense	VERB
esrj-85531	36	4	image	image	NOUN
esrj-85531	36	5	technology	technology	NOUN
esrj-85531	36	6	,	,	PUNCT
esrj-85531	36	7	target	target	NOUN
esrj-85531	36	8	detection	detection	NOUN
esrj-85531	36	9	sampling	sampling	NOUN
esrj-85531	36	10	point	point	NOUN
esrj-85531	36	11	is	be	AUX
esrj-85531	36	12	one	one	NUM
esrj-85531	36	13	of	of	ADP
esrj-85531	36	14	the	the	DET
esrj-85531	36	15	difficulties	difficulty	NOUN
esrj-85531	36	16	in	in	ADP
esrj-85531	36	17	remote	remote	ADJ
esrj-85531	36	18	sensing	sense	VERB
esrj-85531	36	19	monitoring	monitoring	NOUN
esrj-85531	36	20	for	for	ADP
esrj-85531	36	21	geological	geological	ADJ
esrj-85531	36	22	ecological	ecological	ADJ
esrj-85531	36	23	monitoring	monitoring	NOUN
esrj-85531	36	24	system	system	NOUN
esrj-85531	36	25	.	.	PUNCT
esrj-85531	37	1	with	with	ADP
esrj-85531	37	2	the	the	DET
esrj-85531	37	3	development	development	NOUN
esrj-85531	37	4	of	of	ADP
esrj-85531	37	5	science	science	NOUN
esrj-85531	37	6	and	and	CCONJ
esrj-85531	37	7	technology	technology	NOUN
esrj-85531	37	8	,	,	PUNCT
esrj-85531	37	9	the	the	DET
esrj-85531	37	10	operating	operating	NOUN
esrj-85531	37	11	time	time	NOUN
esrj-85531	37	12	and	and	CCONJ
esrj-85531	37	13	spatial	spatial	ADJ
esrj-85531	37	14	resolution	resolution	NOUN
esrj-85531	37	15	of	of	ADP
esrj-85531	37	16	remote	remote	ADJ
esrj-85531	37	17	sensing	sense	VERB
esrj-85531	37	18	technology	technology	NOUN
esrj-85531	37	19	have	have	AUX
esrj-85531	37	20	been	be	AUX
esrj-85531	37	21	continuously	continuously	ADV
esrj-85531	37	22	improved	improve	VERB
esrj-85531	37	23	,	,	PUNCT
esrj-85531	37	24	and	and	CCONJ
esrj-85531	37	25	the	the	DET
esrj-85531	37	26	information	information	NOUN
esrj-85531	37	27	of	of	ADP
esrj-85531	37	28	research	research	NOUN
esrj-85531	37	29	objects	object	NOUN
esrj-85531	37	30	collected	collect	VERB
esrj-85531	37	31	by	by	ADP
esrj-85531	37	32	remote	remote	ADJ
esrj-85531	37	33	sensing	sensing	NOUN
esrj-85531	37	34	images	image	NOUN
esrj-85531	37	35	has	have	AUX
esrj-85531	37	36	become	become	VERB
esrj-85531	37	37	richer	rich	ADJ
esrj-85531	37	38	(	(	PUNCT
esrj-85531	37	39	lengyel	lengyel	PROPN
esrj-85531	37	40	et	et	PROPN
esrj-85531	37	41	al	al	PROPN
esrj-85531	37	42	.	.	PROPN
esrj-85531	37	43	,	,	PUNCT
esrj-85531	37	44	2017	2017	NUM
esrj-85531	37	45	)	)	PUNCT
esrj-85531	37	46	.	.	PUNCT
esrj-85531	38	1	at	at	ADP
esrj-85531	38	2	present	present	ADJ
esrj-85531	38	3	,	,	PUNCT
esrj-85531	38	4	the	the	DET
esrj-85531	38	5	application	application	NOUN
esrj-85531	38	6	of	of	ADP
esrj-85531	38	7	target	target	NOUN
esrj-85531	38	8	detection	detection	NOUN
esrj-85531	38	9	technology	technology	NOUN
esrj-85531	38	10	based	base	VERB
esrj-85531	38	11	on	on	ADP
esrj-85531	38	12	remote	remote	ADJ
esrj-85531	38	13	sensing	sense	VERB
esrj-85531	38	14	image	image	NOUN
esrj-85531	38	15	is	be	AUX
esrj-85531	38	16	more	more	ADV
esrj-85531	38	17	and	and	CCONJ
esrj-85531	38	18	more	more	ADV
esrj-85531	38	19	extensive	extensive	ADJ
esrj-85531	38	20	.	.	PUNCT
esrj-85531	39	1	high	high	ADJ
esrj-85531	39	2	-	-	PUNCT
esrj-85531	39	3	resolution	resolution	NOUN
esrj-85531	39	4	optical	optical	ADJ
esrj-85531	39	5	remote	remote	ADJ
esrj-85531	39	6	sensing	sensing	NOUN
esrj-85531	39	7	images	image	NOUN
esrj-85531	39	8	can	can	AUX
esrj-85531	39	9	obtain	obtain	VERB
esrj-85531	39	10	more	more	ADJ
esrj-85531	39	11	shape	shape	NOUN
esrj-85531	39	12	and	and	CCONJ
esrj-85531	39	13	texture	texture	ADJ
esrj-85531	39	14	information	information	NOUN
esrj-85531	39	15	of	of	ADP
esrj-85531	39	16	ground	ground	NOUN
esrj-85531	39	17	objects	object	NOUN
esrj-85531	39	18	,	,	PUNCT
esrj-85531	39	19	have	have	VERB
esrj-85531	39	20	stronger	strong	ADJ
esrj-85531	39	21	discrimination	discrimination	NOUN
esrj-85531	39	22	ability	ability	NOUN
esrj-85531	39	23	to	to	PART
esrj-85531	39	24	ground	ground	VERB
esrj-85531	39	25	objects	object	NOUN
esrj-85531	39	26	,	,	PUNCT
esrj-85531	39	27	and	and	CCONJ
esrj-85531	39	28	can	can	AUX
esrj-85531	39	29	more	more	ADV
esrj-85531	39	30	intuitively	intuitively	ADV
esrj-85531	39	31	display	display	VERB
esrj-85531	39	32	the	the	DET
esrj-85531	39	33	surface	surface	NOUN
esrj-85531	39	34	conditions	condition	NOUN
esrj-85531	39	35	.	.	PUNCT
esrj-85531	40	1	however	however	ADV
esrj-85531	40	2	,	,	PUNCT
esrj-85531	40	3	due	due	ADP
esrj-85531	40	4	to	to	ADP
esrj-85531	40	5	the	the	DET
esrj-85531	40	6	complexity	complexity	NOUN
esrj-85531	40	7	of	of	ADP
esrj-85531	40	8	geology	geology	NOUN
esrj-85531	40	9	and	and	CCONJ
esrj-85531	40	10	ecology	ecology	NOUN
esrj-85531	40	11	,	,	PUNCT
esrj-85531	40	12	it	it	PRON
esrj-85531	40	13	is	be	AUX
esrj-85531	40	14	difficult	difficult	ADJ
esrj-85531	40	15	to	to	PART
esrj-85531	40	16	extract	extract	VERB
esrj-85531	40	17	images	image	NOUN
esrj-85531	40	18	and	and	CCONJ
esrj-85531	40	19	express	express	VERB
esrj-85531	40	20	effects	effect	NOUN
esrj-85531	40	21	when	when	SCONJ
esrj-85531	40	22	monitoring	monitor	VERB
esrj-85531	40	23	sampling	sample	VERB
esrj-85531	40	24	points	point	NOUN
esrj-85531	40	25	.	.	PUNCT
esrj-85531	41	1	therefore	therefore	ADV
esrj-85531	41	2	,	,	PUNCT
esrj-85531	41	3	these	these	DET
esrj-85531	41	4	problems	problem	NOUN
esrj-85531	41	5	of	of	ADP
esrj-85531	41	6	target	target	NOUN
esrj-85531	41	7	detection	detection	NOUN
esrj-85531	41	8	based	base	VERB
esrj-85531	41	9	on	on	ADP
esrj-85531	41	10	high	high	ADJ
esrj-85531	41	11	resolution	resolution	NOUN
esrj-85531	41	12	optical	optical	ADJ
esrj-85531	41	13	remote	remote	ADJ
esrj-85531	41	14	sensing	sense	VERB
esrj-85531	41	15	image	image	NOUN
esrj-85531	41	16	need	need	VERB
esrj-85531	41	17	to	to	PART
esrj-85531	41	18	be	be	AUX
esrj-85531	41	19	solved	solve	VERB
esrj-85531	41	20	.	.	PUNCT
esrj-85531	42	1	most	most	ADJ
esrj-85531	42	2	of	of	ADP
esrj-85531	42	3	the	the	DET
esrj-85531	42	4	target	target	NOUN
esrj-85531	42	5	detection	detection	NOUN
esrj-85531	42	6	technologies	technology	NOUN
esrj-85531	42	7	of	of	ADP
esrj-85531	42	8	remote	remote	ADJ
esrj-85531	42	9	sensing	sensing	NOUN
esrj-85531	42	10	images	image	NOUN
esrj-85531	42	11	are	be	AUX
esrj-85531	42	12	infrared	infrare	VERB
esrj-85531	42	13	remote	remote	ADJ
esrj-85531	42	14	sensing	sensing	NOUN
esrj-85531	42	15	,	,	PUNCT
esrj-85531	42	16	synthetic	synthetic	ADJ
esrj-85531	42	17	aperture	aperture	NOUN
esrj-85531	42	18	radar	radar	NOUN
esrj-85531	42	19	or	or	CCONJ
esrj-85531	42	20	medium	medium	ADJ
esrj-85531	42	21	-	-	PUNCT
esrj-85531	42	22	low	low	ADJ
esrj-85531	42	23	resolution	resolution	NOUN
esrj-85531	42	24	remote	remote	ADJ
esrj-85531	42	25	sensing	sensing	NOUN
esrj-85531	42	26	images	image	NOUN
esrj-85531	42	27	.	.	PUNCT
esrj-85531	43	1	these	these	DET
esrj-85531	43	2	traditional	traditional	ADJ
esrj-85531	43	3	detection	detection	NOUN
esrj-85531	43	4	technologies	technology	NOUN
esrj-85531	43	5	ca	can	AUX
esrj-85531	43	6	n’t	not	PART
esrj-85531	43	7	effectively	effectively	ADV
esrj-85531	43	8	adapt	adapt	VERB
esrj-85531	43	9	to	to	ADP
esrj-85531	43	10	the	the	DET
esrj-85531	43	11	complexity	complexity	NOUN
esrj-85531	43	12	of	of	ADP
esrj-85531	43	13	high	high	ADJ
esrj-85531	43	14	-	-	PUNCT
esrj-85531	43	15	resolution	resolution	NOUN
esrj-85531	43	16	optical	optical	ADJ
esrj-85531	43	17	remote	remote	ADJ
esrj-85531	43	18	sensing	sensing	NOUN
esrj-85531	43	19	images	image	NOUN
esrj-85531	43	20	and	and	CCONJ
esrj-85531	43	21	the	the	DET
esrj-85531	43	22	diversity	diversity	NOUN
esrj-85531	43	23	of	of	ADP
esrj-85531	43	24	targets	target	NOUN
esrj-85531	43	25	(	(	PUNCT
esrj-85531	43	26	silva	silva	NOUN
esrj-85531	43	27	et	et	PROPN
esrj-85531	43	28	al	al	PROPN
esrj-85531	43	29	.	.	PROPN
esrj-85531	43	30	,	,	PUNCT
esrj-85531	43	31	2017	2017	NUM
esrj-85531	43	32	)	)	PUNCT
esrj-85531	43	33	.	.	PUNCT
esrj-85531	44	1	and	and	CCONJ
esrj-85531	44	2	as	as	SCONJ
esrj-85531	44	3	the	the	DET
esrj-85531	44	4	spatial	spatial	ADJ
esrj-85531	44	5	resolution	resolution	NOUN
esrj-85531	44	6	of	of	ADP
esrj-85531	44	7	remote	remote	ADJ
esrj-85531	44	8	sensing	sensing	NOUN
esrj-85531	44	9	gets	get	VERB
esrj-85531	44	10	higher	high	ADJ
esrj-85531	44	11	and	and	CCONJ
esrj-85531	44	12	higher	high	ADJ
esrj-85531	44	13	,	,	PUNCT
esrj-85531	44	14	the	the	DET
esrj-85531	44	15	image	image	NOUN
esrj-85531	44	16	gets	get	VERB
esrj-85531	44	17	closer	close	ADJ
esrj-85531	44	18	and	and	CCONJ
esrj-85531	44	19	closer	close	ADJ
esrj-85531	44	20	to	to	ADP
esrj-85531	44	21	the	the	DET
esrj-85531	44	22	natural	natural	ADJ
esrj-85531	44	23	image	image	NOUN
esrj-85531	44	24	.	.	PUNCT
esrj-85531	45	1	however	however	ADV
esrj-85531	45	2	,	,	PUNCT
esrj-85531	45	3	the	the	DET
esrj-85531	45	4	target	target	NOUN
esrj-85531	45	5	detection	detection	NOUN
esrj-85531	45	6	technology	technology	NOUN
esrj-85531	45	7	of	of	ADP
esrj-85531	45	8	natural	natural	ADJ
esrj-85531	45	9	image	image	NOUN
esrj-85531	45	10	(	(	PUNCT
esrj-85531	45	11	such	such	ADJ
esrj-85531	45	12	as	as	ADP
esrj-85531	45	13	artificial	artificial	ADJ
esrj-85531	45	14	intelligence	intelligence	NOUN
esrj-85531	45	15	algorithm	algorithm	NOUN
esrj-85531	45	16	)	)	PUNCT
esrj-85531	45	17	has	have	AUX
esrj-85531	45	18	developed	develop	VERB
esrj-85531	45	19	rapidly	rapidly	ADV
esrj-85531	45	20	in	in	ADP
esrj-85531	45	21	recent	recent	ADJ
esrj-85531	45	22	years	year	NOUN
esrj-85531	45	23	.	.	PUNCT
esrj-85531	46	1	the	the	DET
esrj-85531	46	2	combination	combination	NOUN
esrj-85531	46	3	of	of	ADP
esrj-85531	46	4	artificial	artificial	ADJ
esrj-85531	46	5	intelligence	intelligence	NOUN
esrj-85531	46	6	algorithm	algorithm	NOUN
esrj-85531	46	7	and	and	CCONJ
esrj-85531	46	8	image	image	NOUN
esrj-85531	46	9	target	target	NOUN
esrj-85531	46	10	detection	detection	NOUN
esrj-85531	46	11	will	will	AUX
esrj-85531	46	12	further	far	ADV
esrj-85531	46	13	improve	improve	VERB
esrj-85531	46	14	remote	remote	ADJ
esrj-85531	46	15	sensing	sense	VERB
esrj-85531	46	16	technology	technology	NOUN
esrj-85531	46	17	.	.	PUNCT
esrj-85531	47	1	therefore	therefore	ADV
esrj-85531	47	2	,	,	PUNCT
esrj-85531	47	3	it	it	PRON
esrj-85531	47	4	is	be	AUX
esrj-85531	47	5	of	of	ADP
esrj-85531	47	6	practical	practical	ADJ
esrj-85531	47	7	significance	significance	NOUN
esrj-85531	47	8	to	to	PART
esrj-85531	47	9	explore	explore	VERB
esrj-85531	47	10	more	more	ADV
esrj-85531	47	11	effective	effective	ADJ
esrj-85531	47	12	target	target	NOUN
esrj-85531	47	13	detection	detection	NOUN
esrj-85531	47	14	algorithms	algorithm	NOUN
esrj-85531	47	15	based	base	VERB
esrj-85531	47	16	on	on	ADP
esrj-85531	47	17	high	high	ADJ
esrj-85531	47	18	-	-	PUNCT
esrj-85531	47	19	resolution	resolution	NOUN
esrj-85531	47	20	optical	optical	ADJ
esrj-85531	47	21	remote	remote	ADJ
esrj-85531	47	22	sensing	sensing	NOUN
esrj-85531	47	23	images	image	NOUN
esrj-85531	47	24	.	.	PUNCT
esrj-85531	48	1	to	to	PART
esrj-85531	48	2	sum	sum	VERB
esrj-85531	48	3	up	up	ADP
esrj-85531	48	4	,	,	PUNCT
esrj-85531	48	5	in	in	ADP
esrj-85531	48	6	this	this	DET
esrj-85531	48	7	research	research	NOUN
esrj-85531	48	8	,	,	PUNCT
esrj-85531	48	9	the	the	DET
esrj-85531	48	10	configuration	configuration	NOUN
esrj-85531	48	11	algorithm	algorithm	NOUN
esrj-85531	48	12	of	of	ADP
esrj-85531	48	13	high	high	ADJ
esrj-85531	48	14	-	-	PUNCT
esrj-85531	48	15	resolution	resolution	NOUN
esrj-85531	48	16	remote	remote	ADJ
esrj-85531	48	17	sensing	sense	VERB
esrj-85531	48	18	detection	detection	NOUN
esrj-85531	48	19	technology	technology	NOUN
esrj-85531	48	20	was	be	AUX
esrj-85531	48	21	optimized	optimize	VERB
esrj-85531	48	22	by	by	ADP
esrj-85531	48	23	studying	study	VERB
esrj-85531	48	24	highresolution	highresolution	NOUN
esrj-85531	48	25	remote	remote	ADJ
esrj-85531	48	26	sensing	sense	VERB
esrj-85531	48	27	target	target	NOUN
esrj-85531	48	28	detection	detection	NOUN
esrj-85531	48	29	technology	technology	NOUN
esrj-85531	48	30	.	.	PUNCT
esrj-85531	49	1	it	it	PRON
esrj-85531	49	2	is	be	AUX
esrj-85531	49	3	hoped	hope	VERB
esrj-85531	49	4	that	that	SCONJ
esrj-85531	49	5	the	the	DET
esrj-85531	49	6	effect	effect	NOUN
esrj-85531	49	7	of	of	ADP
esrj-85531	49	8	high	high	ADJ
esrj-85531	49	9	-	-	PUNCT
esrj-85531	49	10	resolution	resolution	NOUN
esrj-85531	49	11	remote	remote	ADJ
esrj-85531	49	12	sensing	sense	VERB
esrj-85531	49	13	target	target	NOUN
esrj-85531	49	14	detection	detection	NOUN
esrj-85531	49	15	can	can	AUX
esrj-85531	49	16	be	be	AUX
esrj-85531	49	17	improved	improve	VERB
esrj-85531	49	18	.	.	PUNCT
esrj-85531	50	1	methods	method	NOUN
esrj-85531	50	2	monitoring	monitor	VERB
esrj-85531	50	3	sampling	sample	VERB
esrj-85531	50	4	point	point	NOUN
esrj-85531	50	5	extraction	extraction	NOUN
esrj-85531	50	6	algorithm	algorithm	NOUN
esrj-85531	50	7	selective	selective	ADJ
esrj-85531	50	8	search	search	NOUN
esrj-85531	50	9	algorithm	algorithm	NOUN
esrj-85531	50	10	firstly	firstly	ADV
esrj-85531	50	11	divides	divide	VERB
esrj-85531	50	12	the	the	DET
esrj-85531	50	13	pixels	pixel	NOUN
esrj-85531	50	14	of	of	ADP
esrj-85531	50	15	the	the	DET
esrj-85531	50	16	same	same	ADJ
esrj-85531	50	17	object	object	NOUN
esrj-85531	50	18	with	with	ADP
esrj-85531	50	19	similar	similar	ADJ
esrj-85531	50	20	features	feature	NOUN
esrj-85531	50	21	(	(	PUNCT
esrj-85531	50	22	such	such	ADJ
esrj-85531	50	23	as	as	ADP
esrj-85531	50	24	color	color	NOUN
esrj-85531	50	25	,	,	PUNCT
esrj-85531	50	26	texture	texture	NOUN
esrj-85531	50	27	and	and	CCONJ
esrj-85531	50	28	scale	scale	NOUN
esrj-85531	50	29	)	)	PUNCT
esrj-85531	50	30	in	in	ADP
esrj-85531	50	31	the	the	DET
esrj-85531	50	32	image	image	NOUN
esrj-85531	50	33	into	into	ADP
esrj-85531	50	34	super	super	ADJ
esrj-85531	50	35	pixels	pixel	NOUN
esrj-85531	50	36	,	,	PUNCT
esrj-85531	50	37	and	and	CCONJ
esrj-85531	50	38	obtains	obtain	VERB
esrj-85531	50	39	the	the	DET
esrj-85531	50	40	initial	initial	ADJ
esrj-85531	50	41	small	small	ADJ
esrj-85531	50	42	area	area	NOUN
esrj-85531	50	43	set	set	VERB
esrj-85531	50	44	.	.	PUNCT
esrj-85531	51	1	then	then	ADV
esrj-85531	51	2	,	,	PUNCT
esrj-85531	51	3	the	the	DET
esrj-85531	51	4	similarity	similarity	NOUN
esrj-85531	51	5	definition	definition	NOUN
esrj-85531	51	6	and	and	CCONJ
esrj-85531	51	7	merge	merge	VERB
esrj-85531	51	8	strategy	strategy	NOUN
esrj-85531	51	9	definition	definition	NOUN
esrj-85531	51	10	of	of	ADP
esrj-85531	51	11	pixels	pixel	NOUN
esrj-85531	51	12	are	be	AUX
esrj-85531	51	13	carried	carry	VERB
esrj-85531	51	14	out	out	ADP
esrj-85531	51	15	to	to	PART
esrj-85531	51	16	merge	merge	VERB
esrj-85531	51	17	super	super	ADJ
esrj-85531	51	18	pixels	pixel	NOUN
esrj-85531	51	19	and	and	CCONJ
esrj-85531	51	20	form	form	VERB
esrj-85531	51	21	a	a	DET
esrj-85531	51	22	hierarchical	hierarchical	ADJ
esrj-85531	51	23	structure	structure	NOUN
esrj-85531	51	24	,	,	PUNCT
esrj-85531	51	25	which	which	PRON
esrj-85531	51	26	can	can	AUX
esrj-85531	51	27	generate	generate	VERB
esrj-85531	51	28	candidate	candidate	NOUN
esrj-85531	51	29	windows	window	NOUN
esrj-85531	51	30	.	.	PUNCT
esrj-85531	52	1	in	in	ADP
esrj-85531	52	2	order	order	NOUN
esrj-85531	52	3	to	to	PART
esrj-85531	52	4	obtain	obtain	VERB
esrj-85531	52	5	better	well	ADJ
esrj-85531	52	6	robustness	robustness	NOUN
esrj-85531	52	7	,	,	PUNCT
esrj-85531	52	8	selective	selective	ADJ
esrj-85531	52	9	search	search	NOUN
esrj-85531	52	10	algorithm	algorithm	NOUN
esrj-85531	52	11	adopts	adopt	VERB
esrj-85531	52	12	multiple	multiple	ADJ
esrj-85531	52	13	color	color	NOUN
esrj-85531	52	14	spaces	space	NOUN
esrj-85531	52	15	and	and	CCONJ
esrj-85531	52	16	multiple	multiple	ADJ
esrj-85531	52	17	similarity	similarity	NOUN
esrj-85531	52	18	calculation	calculation	NOUN
esrj-85531	52	19	strategies	strategy	NOUN
esrj-85531	52	20	for	for	ADP
esrj-85531	52	21	better	well	ADJ
esrj-85531	52	22	robustness	robustness	NOUN
esrj-85531	52	23	(	(	PUNCT
esrj-85531	52	24	sürme	sürme	VERB
esrj-85531	52	25	et	et	PROPN
esrj-85531	52	26	al	al	PROPN
esrj-85531	52	27	.	.	PROPN
esrj-85531	52	28	,	,	PUNCT
esrj-85531	52	29	2017	2017	NUM
esrj-85531	52	30	)	)	PUNCT
esrj-85531	52	31	.	.	PUNCT
esrj-85531	53	1	bing	bing	NOUN
esrj-85531	53	2	algorithm	algorithm	NOUN
esrj-85531	53	3	is	be	AUX
esrj-85531	53	4	simple	simple	ADJ
esrj-85531	53	5	and	and	CCONJ
esrj-85531	53	6	efficient	efficient	ADJ
esrj-85531	53	7	in	in	ADP
esrj-85531	53	8	the	the	DET
esrj-85531	53	9	extraction	extraction	NOUN
esrj-85531	53	10	of	of	ADP
esrj-85531	53	11	candidate	candidate	NOUN
esrj-85531	53	12	windows	window	NOUN
esrj-85531	53	13	,	,	PUNCT
esrj-85531	53	14	which	which	PRON
esrj-85531	53	15	is	be	AUX
esrj-85531	53	16	very	very	ADV
esrj-85531	53	17	suitable	suitable	ADJ
esrj-85531	53	18	for	for	ADP
esrj-85531	53	19	the	the	DET
esrj-85531	53	20	extraction	extraction	NOUN
esrj-85531	53	21	of	of	ADP
esrj-85531	53	22	candidate	candidate	NOUN
esrj-85531	53	23	windows	window	NOUN
esrj-85531	53	24	.	.	PUNCT
esrj-85531	54	1	bing	bing	NOUN
esrj-85531	54	2	algorithm	algorithm	NOUN
esrj-85531	54	3	is	be	AUX
esrj-85531	54	4	a	a	DET
esrj-85531	54	5	classifier	classifier	NOUN
esrj-85531	54	6	with	with	ADP
esrj-85531	54	7	two	two	NUM
esrj-85531	54	8	stages	stage	NOUN
esrj-85531	54	9	.	.	PUNCT
esrj-85531	55	1	first	first	ADV
esrj-85531	55	2	,	,	PUNCT
esrj-85531	55	3	the	the	DET
esrj-85531	55	4	first	first	ADJ
esrj-85531	55	5	stage	stage	NOUN
esrj-85531	55	6	is	be	AUX
esrj-85531	55	7	to	to	PART
esrj-85531	55	8	scan	scan	VERB
esrj-85531	55	9	the	the	DET
esrj-85531	55	10	images	image	NOUN
esrj-85531	55	11	waiting	wait	VERB
esrj-85531	55	12	to	to	PART
esrj-85531	55	13	be	be	AUX
esrj-85531	55	14	detected	detect	VERB
esrj-85531	55	15	according	accord	VERB
esrj-85531	55	16	to	to	ADP
esrj-85531	55	17	different	different	ADJ
esrj-85531	55	18	scales	scale	NOUN
esrj-85531	55	19	of	of	ADP
esrj-85531	55	20	sliding	slide	VERB
esrj-85531	55	21	.	.	PUNCT
esrj-85531	56	1	then	then	ADV
esrj-85531	56	2	the	the	DET
esrj-85531	56	3	subgraph	subgraph	NOUN
esrj-85531	56	4	of	of	ADP
esrj-85531	56	5	the	the	DET
esrj-85531	56	6	candidate	candidate	NOUN
esrj-85531	56	7	window	window	NOUN
esrj-85531	56	8	is	be	AUX
esrj-85531	56	9	unified	unified	ADJ
esrj-85531	56	10	to	to	ADP
esrj-85531	56	11	8	8	NUM
esrj-85531	56	12	*	*	SYM
esrj-85531	56	13	8	8	NUM
esrj-85531	56	14	,	,	PUNCT
esrj-85531	56	15	and	and	CCONJ
esrj-85531	56	16	finally	finally	ADV
esrj-85531	56	17	the	the	DET
esrj-85531	56	18	linear	linear	ADJ
esrj-85531	56	19	scoring	scoring	NOUN
esrj-85531	56	20	model	model	NOUN
esrj-85531	56	21	needs	need	VERB
esrj-85531	56	22	to	to	PART
esrj-85531	56	23	be	be	AUX
esrj-85531	56	24	used	use	VERB
esrj-85531	56	25	for	for	ADP
esrj-85531	56	26	scoring	scoring	NOUN
esrj-85531	56	27	.	.	PUNCT
esrj-85531	57	1	the	the	DET
esrj-85531	57	2	linear	linear	ADJ
esrj-85531	57	3	scoring	scoring	NOUN
esrj-85531	57	4	model	model	NOUN
esrj-85531	57	5	can	can	AUX
esrj-85531	57	6	be	be	AUX
esrj-85531	57	7	expressed	express	VERB
esrj-85531	57	8	as	as	ADP
esrj-85531	57	9	equations	equation	NOUN
esrj-85531	57	10	(	(	PUNCT
esrj-85531	57	11	1	1	NUM
esrj-85531	57	12	)	)	PUNCT
esrj-85531	57	13	,	,	PUNCT
esrj-85531	57	14	(	(	PUNCT
esrj-85531	57	15	2	2	NUM
esrj-85531	57	16	)	)	PUNCT
esrj-85531	57	17	,	,	PUNCT
esrj-85531	57	18	and	and	CCONJ
esrj-85531	57	19	(	(	PUNCT
esrj-85531	57	20	3	3	NUM
esrj-85531	57	21	)	)	PUNCT
esrj-85531	57	22	.	.	PUNCT
esrj-85531	58	1	w	w	PROPN
esrj-85531	58	2	r	r	ADJ
esrj-85531	58	3	64	64	NUM
esrj-85531	58	4	(	(	PUNCT
esrj-85531	58	5	1	1	NUM
esrj-85531	58	6	)	)	PUNCT
esrj-85531	58	7	s	s	PROPN
esrj-85531	58	8	w	w	PROPN
esrj-85531	58	9	gl	gl	PROPN
esrj-85531	58	10	l=	l=	PROPN
esrj-85531	58	11	(	(	PUNCT
esrj-85531	58	12	)	)	PUNCT
esrj-85531	58	13	,	,	PUNCT
esrj-85531	58	14	(	(	PUNCT
esrj-85531	58	15	2	2	X
esrj-85531	58	16	)	)	PUNCT
esrj-85531	58	17	l	l	NOUN
esrj-85531	59	1	i	i	NOUN
esrj-85531	59	2	x	x	VERB
esrj-85531	59	3	y=	y=	PRON
esrj-85531	59	4	(	(	PUNCT
esrj-85531	59	5	)	)	PUNCT
esrj-85531	59	6	,	,	PUNCT
esrj-85531	59	7	,	,	PUNCT
esrj-85531	59	8	(	(	PUNCT
esrj-85531	59	9	3	3	X
esrj-85531	59	10	)	)	PUNCT
esrj-85531	59	11	among	among	ADP
esrj-85531	59	12	them	they	PRON
esrj-85531	59	13	,	,	PUNCT
esrj-85531	59	14	l	l	NOUN
esrj-85531	59	15	represents	represent	VERB
esrj-85531	59	16	the	the	DET
esrj-85531	59	17	window	window	NOUN
esrj-85531	59	18	position	position	NOUN
esrj-85531	59	19	;	;	PUNCT
esrj-85531	59	20	i	i	PRON
esrj-85531	59	21	represents	represent	VERB
esrj-85531	59	22	the	the	DET
esrj-85531	59	23	window	window	NOUN
esrj-85531	59	24	scale	scale	NOUN
esrj-85531	59	25	;	;	PUNCT
esrj-85531	59	26	(	(	PUNCT
esrj-85531	59	27	x	x	X
esrj-85531	59	28	,	,	PUNCT
esrj-85531	59	29	y	y	PROPN
esrj-85531	59	30	)	)	PUNCT
esrj-85531	59	31	indicates	indicate	VERB
esrj-85531	59	32	the	the	DET
esrj-85531	59	33	coordinates	coordinate	NOUN
esrj-85531	59	34	of	of	ADP
esrj-85531	59	35	the	the	DET
esrj-85531	59	36	upper	upper	ADJ
esrj-85531	59	37	left	left	NOUN
esrj-85531	59	38	corner	corner	NOUN
esrj-85531	59	39	;	;	PUNCT
esrj-85531	59	40	sl	sl	PRON
esrj-85531	59	41	represents	represent	VERB
esrj-85531	59	42	filter	filter	NOUN
esrj-85531	59	43	score	score	NOUN
esrj-85531	59	44	;	;	PUNCT
esrj-85531	59	45	and	and	CCONJ
esrj-85531	59	46	gl	gl	PROPN
esrj-85531	59	47	represents	represent	VERB
esrj-85531	59	48	the	the	DET
esrj-85531	59	49	window	window	NOUN
esrj-85531	59	50	feature	feature	NOUN
esrj-85531	59	51	vector	vector	NOUN
esrj-85531	59	52	.	.	PUNCT
esrj-85531	60	1	in	in	ADP
esrj-85531	60	2	the	the	DET
esrj-85531	60	3	bing	bing	NOUN
esrj-85531	60	4	algorithm	algorithm	NOUN
esrj-85531	60	5	,	,	PUNCT
esrj-85531	60	6	the	the	DET
esrj-85531	60	7	w	w	PROPN
esrj-85531	60	8	linear	linear	PROPN
esrj-85531	60	9	model	model	NOUN
esrj-85531	60	10	is	be	AUX
esrj-85531	60	11	trained	train	VERB
esrj-85531	60	12	by	by	ADP
esrj-85531	60	13	svm	svm	PROPN
esrj-85531	60	14	in	in	ADP
esrj-85531	60	15	the	the	DET
esrj-85531	60	16	first	first	ADJ
esrj-85531	60	17	stage	stage	NOUN
esrj-85531	60	18	,	,	PUNCT
esrj-85531	60	19	the	the	DET
esrj-85531	60	20	normal	normal	ADJ
esrj-85531	60	21	pattern	pattern	NOUN
esrj-85531	60	22	gradient	gradient	NOUN
esrj-85531	60	23	features	feature	NOUN
esrj-85531	60	24	of	of	ADP
esrj-85531	60	25	the	the	DET
esrj-85531	60	26	real	real	ADJ
esrj-85531	60	27	target	target	NOUN
esrj-85531	60	28	window	window	NOUN
esrj-85531	60	29	are	be	AUX
esrj-85531	60	30	taken	take	VERB
esrj-85531	60	31	as	as	ADP
esrj-85531	60	32	positive	positive	ADJ
esrj-85531	60	33	samples	sample	NOUN
esrj-85531	60	34	,	,	PUNCT
esrj-85531	60	35	and	and	CCONJ
esrj-85531	60	36	the	the	DET
esrj-85531	60	37	paradigm	paradigm	NOUN
esrj-85531	60	38	gradient	gradient	NOUN
esrj-85531	60	39	feature	feature	NOUN
esrj-85531	60	40	of	of	ADP
esrj-85531	60	41	the	the	DET
esrj-85531	60	42	randomly	randomly	ADV
esrj-85531	60	43	sampled	sample	VERB
esrj-85531	60	44	background	background	NOUN
esrj-85531	60	45	window	window	NOUN
esrj-85531	60	46	is	be	AUX
esrj-85531	60	47	taken	take	VERB
esrj-85531	60	48	as	as	ADP
esrj-85531	60	49	a	a	DET
esrj-85531	60	50	negative	negative	ADJ
esrj-85531	60	51	sample	sample	NOUN
esrj-85531	60	52	.	.	PUNCT
esrj-85531	61	1	the	the	DET
esrj-85531	61	2	second	second	ADJ
esrj-85531	61	3	stage	stage	NOUN
esrj-85531	61	4	is	be	AUX
esrj-85531	61	5	to	to	PART
esrj-85531	61	6	solve	solve	VERB
esrj-85531	61	7	the	the	DET
esrj-85531	61	8	problem	problem	NOUN
esrj-85531	61	9	that	that	SCONJ
esrj-85531	61	10	different	different	ADJ
esrj-85531	61	11	scales	scale	NOUN
esrj-85531	61	12	contain	contain	VERB
esrj-85531	61	13	different	different	ADJ
esrj-85531	61	14	possibilities	possibility	NOUN
esrj-85531	61	15	of	of	ADP
esrj-85531	61	16	targets	target	NOUN
esrj-85531	61	17	.	.	PUNCT
esrj-85531	62	1	it	it	PRON
esrj-85531	62	2	needs	need	VERB
esrj-85531	62	3	to	to	PART
esrj-85531	62	4	train	train	VERB
esrj-85531	62	5	a	a	DET
esrj-85531	62	6	scoring	scoring	NOUN
esrj-85531	62	7	calibrator	calibrator	NOUN
esrj-85531	62	8	for	for	ADP
esrj-85531	62	9	each	each	DET
esrj-85531	62	10	scale	scale	NOUN
esrj-85531	62	11	window	window	NOUN
esrj-85531	62	12	.	.	PUNCT
esrj-85531	63	1	the	the	DET
esrj-85531	63	2	candidate	candidate	NOUN
esrj-85531	63	3	window	window	NOUN
esrj-85531	63	4	score	score	NOUN
esrj-85531	63	5	extracted	extract	VERB
esrj-85531	63	6	in	in	ADP
esrj-85531	63	7	the	the	DET
esrj-85531	63	8	first	first	ADJ
esrj-85531	63	9	stage	stage	NOUN
esrj-85531	63	10	is	be	AUX
esrj-85531	63	11	corrected	correct	VERB
esrj-85531	63	12	,	,	PUNCT
esrj-85531	63	13	as	as	SCONJ
esrj-85531	63	14	shown	show	VERB
esrj-85531	63	15	in	in	ADP
esrj-85531	63	16	equation	equation	NOUN
esrj-85531	63	17	(	(	PUNCT
esrj-85531	63	18	4	4	NUM
esrj-85531	63	19	)	)	PUNCT
esrj-85531	63	20	.	.	PUNCT
esrj-85531	64	1	l	l	NOUN
esrj-85531	65	1	i	i	PRON
esrj-85531	65	2	l	l	VERB
esrj-85531	66	1	iv	iv	X
esrj-85531	66	2	s	s	VERB
esrj-85531	66	3	t=	t=	NOUN
esrj-85531	66	4	•	•	ADP
esrj-85531	66	5	+	+	CCONJ
esrj-85531	66	6	(	(	PUNCT
esrj-85531	66	7	4	4	NUM
esrj-85531	66	8	)	)	PUNCT
esrj-85531	66	9	among	among	ADP
esrj-85531	66	10	them	they	PRON
esrj-85531	66	11	,	,	PUNCT
esrj-85531	66	12	vi	vi	PROPN
esrj-85531	67	1	and	and	CCONJ
esrj-85531	67	2	sl	sl	PROPN
esrj-85531	67	3	represent	represent	VERB
esrj-85531	67	4	the	the	DET
esrj-85531	67	5	calibration	calibration	NOUN
esrj-85531	67	6	coefficients	coefficient	NOUN
esrj-85531	67	7	of	of	ADP
esrj-85531	67	8	i	i	PRON
esrj-85531	67	9	learning	learn	VERB
esrj-85531	67	10	at	at	ADP
esrj-85531	67	11	different	different	ADJ
esrj-85531	67	12	scales	scale	NOUN
esrj-85531	67	13	.	.	PUNCT
esrj-85531	68	1	in	in	ADP
esrj-85531	68	2	order	order	NOUN
esrj-85531	68	3	to	to	PART
esrj-85531	68	4	speed	speed	VERB
esrj-85531	68	5	up	up	ADP
esrj-85531	68	6	the	the	DET
esrj-85531	68	7	process	process	NOUN
esrj-85531	68	8	of	of	ADP
esrj-85531	68	9	image	image	NOUN
esrj-85531	68	10	extraction	extraction	NOUN
esrj-85531	68	11	and	and	CCONJ
esrj-85531	68	12	scoring	scoring	NOUN
esrj-85531	68	13	,	,	PUNCT
esrj-85531	68	14	the	the	DET
esrj-85531	68	15	bing	bing	NOUN
esrj-85531	68	16	algorithm	algorithm	NOUN
esrj-85531	68	17	uses	use	VERB
esrj-85531	68	18	a	a	DET
esrj-85531	68	19	binary	binary	ADJ
esrj-85531	68	20	approximation	approximation	NOUN
esrj-85531	68	21	method	method	NOUN
esrj-85531	68	22	.	.	PUNCT
esrj-85531	69	1	the	the	DET
esrj-85531	69	2	two	two	NUM
esrj-85531	69	3	-	-	PUNCT
esrj-85531	69	4	valued	value	VERB
esrj-85531	69	5	basis	basis	NOUN
esrj-85531	69	6	vector	vector	NOUN
esrj-85531	69	7	is	be	AUX
esrj-85531	69	8	used	use	VERB
esrj-85531	69	9	to	to	PART
esrj-85531	69	10	approximate	approximate	VERB
esrj-85531	69	11	the	the	DET
esrj-85531	69	12	linear	linear	ADJ
esrj-85531	69	13	model	model	NOUN
esrj-85531	69	14	,	,	PUNCT
esrj-85531	69	15	as	as	SCONJ
esrj-85531	69	16	shown	show	VERB
esrj-85531	69	17	in	in	ADP
esrj-85531	69	18	equation	equation	NOUN
esrj-85531	69	19	(	(	PUNCT
esrj-85531	69	20	5	5	NUM
esrj-85531	69	21	)	)	PUNCT
esrj-85531	69	22	.	.	PUNCT
esrj-85531	70	1	w	w	PROPN
esrj-85531	70	2	j	j	PROPN
esrj-85531	71	1	jj	jj	PROPN
esrj-85531	71	2	nw	nw	PROPN
esrj-85531	71	3	≈	≈	PROPN
esrj-85531	72	1	β	β	PROPN
esrj-85531	72	2	α	α	X
esrj-85531	72	3	=	=	NOUN
esrj-85531	72	4	∑	∑	PROPN
esrj-85531	72	5	1	1	NUM
esrj-85531	72	6	(	(	PUNCT
esrj-85531	72	7	5	5	NUM
esrj-85531	72	8	)	)	PUNCT
esrj-85531	72	9	among	among	ADP
esrj-85531	72	10	them	they	PRON
esrj-85531	72	11	,	,	PUNCT
esrj-85531	72	12	nw	nw	PROPN
esrj-85531	72	13	represents	represent	VERB
esrj-85531	72	14	the	the	DET
esrj-85531	72	15	number	number	NOUN
esrj-85531	72	16	of	of	ADP
esrj-85531	72	17	base	base	NOUN
esrj-85531	72	18	vectors	vector	NOUN
esrj-85531	72	19	;	;	PUNCT
esrj-85531	72	20	j	j	NUM
esrj-85531	72	21	represents	represent	VERB
esrj-85531	72	22	a	a	DET
esrj-85531	72	23	base	base	NOUN
esrj-85531	72	24	vector	vector	NOUN
esrj-85531	72	25	;	;	PUNCT
esrj-85531	72	26	and	and	CCONJ
esrj-85531	72	27	j	j	NOUN
esrj-85531	72	28	indicates	indicate	VERB
esrj-85531	72	29	the	the	DET
esrj-85531	72	30	coefficient	coefficient	NOUN
esrj-85531	72	31	.	.	PUNCT
esrj-85531	73	1	j	j	NUM
esrj-85531	73	2	can	can	AUX
esrj-85531	73	3	be	be	AUX
esrj-85531	73	4	represented	represent	VERB
esrj-85531	73	5	by	by	ADP
esrj-85531	73	6	another	another	DET
esrj-85531	73	7	binary	binary	ADJ
esrj-85531	73	8	vector	vector	NOUN
esrj-85531	73	9	and	and	CCONJ
esrj-85531	73	10	its	its	PRON
esrj-85531	73	11	complement	complement	NOUN
esrj-85531	73	12	form	form	NOUN
esrj-85531	73	13	,	,	PUNCT
esrj-85531	73	14	as	as	SCONJ
esrj-85531	73	15	shown	show	VERB
esrj-85531	73	16	in	in	ADP
esrj-85531	73	17	equation	equation	NOUN
esrj-85531	73	18	(	(	PUNCT
esrj-85531	73	19	6	6	NUM
esrj-85531	73	20	)	)	PUNCT
esrj-85531	73	21	.	.	PUNCT
esrj-85531	74	1	α	α	X
esrj-85531	74	2	α	α	NOUN
esrj-85531	74	3	−αj	−αj	PROPN
esrj-85531	74	4	j	j	PROPN
esrj-85531	74	5	j=	j=	NOUN
esrj-85531	74	6	+	+	CCONJ
esrj-85531	75	1	+	+	CCONJ
esrj-85531	75	2	(	(	PUNCT
esrj-85531	75	3	6	6	NUM
esrj-85531	75	4	)	)	PUNCT
esrj-85531	75	5	among	among	ADP
esrj-85531	75	6	them	they	PRON
esrj-85531	75	7	,	,	PUNCT
esrj-85531	75	8	α	α	PROPN
esrj-85531	75	9	∈j	∈j	PROPN
esrj-85531	76	1	+	+	CCONJ
esrj-85531	76	2	{	{	PUNCT
esrj-85531	76	3	}	}	SYM
esrj-85531	76	4	0	0	NUM
esrj-85531	76	5	1	1	NUM
esrj-85531	76	6	64	64	NUM
esrj-85531	76	7	,	,	PUNCT
esrj-85531	76	8	.	.	PUNCT
esrj-85531	77	1	equation	equation	NOUN
esrj-85531	77	2	(	(	PUNCT
esrj-85531	77	3	6	6	NUM
esrj-85531	77	4	)	)	PUNCT
esrj-85531	77	5	can	can	AUX
esrj-85531	77	6	perform	perform	VERB
esrj-85531	77	7	the	the	DET
esrj-85531	77	8	fast	fast	ADJ
esrj-85531	77	9	bitwise	bitwise	NOUN
esrj-85531	77	10	and	and	CCONJ
esrj-85531	77	11	bit	bit	NOUN
esrj-85531	77	12	count	count	NOUN
esrj-85531	77	13	operation	operation	NOUN
esrj-85531	77	14	of	of	ADP
esrj-85531	77	15	the	the	DET
esrj-85531	77	16	score	score	NOUN
esrj-85531	77	17	of	of	ADP
esrj-85531	77	18	the	the	DET
esrj-85531	77	19	binarized	binarized	ADJ
esrj-85531	77	20	feature	feature	NOUN
esrj-85531	77	21	b	b	NOUN
esrj-85531	77	22	,	,	PUNCT
esrj-85531	77	23	which	which	PRON
esrj-85531	77	24	can	can	AUX
esrj-85531	77	25	be	be	AUX
esrj-85531	77	26	expressed	express	VERB
esrj-85531	77	27	by	by	ADP
esrj-85531	77	28	equation	equation	NOUN
esrj-85531	77	29	(	(	PUNCT
esrj-85531	77	30	7	7	NUM
esrj-85531	77	31	)	)	PUNCT
esrj-85531	77	32	.	.	PUNCT
esrj-85531	78	1	w	w	PROPN
esrj-85531	78	2	b	b	PROPN
esrj-85531	78	3	b	b	PROPN
esrj-85531	78	4	bj	bj	NOUN
esrj-85531	78	5	jj	jj	PROPN
esrj-85531	78	6	nw	nw	PROPN
esrj-85531	78	7	,	,	PUNCT
esrj-85531	78	8	,	,	PUNCT
esrj-85531	78	9	(	(	PUNCT
esrj-85531	78	10	)	)	PUNCT
esrj-85531	78	11	(	(	PUNCT
esrj-85531	78	12	)	)	PUNCT
esrj-85531	78	13	(	(	PUNCT
esrj-85531	78	14	)	)	PUNCT
esrj-85531	78	15	+	+	CCONJ
esrj-85531	78	16	=	=	NOUN
esrj-85531	78	17	∑≈	∑≈	X
esrj-85531	78	18	β	β	NOUN
esrj-85531	78	19	α	α	PROPN
esrj-85531	78	20	−2	−2	PROPN
esrj-85531	78	21	1	1	NUM
esrj-85531	78	22	(	(	PUNCT
esrj-85531	78	23	7	7	X
esrj-85531	78	24	)	)	PUNCT
esrj-85531	78	25	bing	bing	NOUN
esrj-85531	78	26	algorithm	algorithm	NOUN
esrj-85531	78	27	expresses	express	VERB
esrj-85531	78	28	ng	ng	PROPN
esrj-85531	78	29	eigenvalue	eigenvalue	VERB
esrj-85531	78	30	through	through	ADP
esrj-85531	78	31	equation	equation	NOUN
esrj-85531	78	32	(	(	PUNCT
esrj-85531	78	33	8)	8)	NUM
esrj-85531	78	34	:	:	PUNCT
esrj-85531	79	1	g	g	PROPN
esrj-85531	79	2	bl	bl	PROPN
esrj-85531	79	3	b	b	PROPN
esrj-85531	79	4	k	k	PROPN
esrj-85531	79	5	k	k	PROPN
esrj-85531	79	6	lk	lk	PROPN
esrj-85531	79	7	ng	ng	PROPN
esrj-85531	79	8	≈	≈	PROPN
esrj-85531	79	9	−2	−2	PROPN
esrj-85531	79	10	1	1	NUM
esrj-85531	79	11	,	,	PUNCT
esrj-85531	79	12	=	=	NOUN
esrj-85531	79	13	∑	∑	PROPN
esrj-85531	79	14	(	(	PUNCT
esrj-85531	79	15	8)	8)	NUM
esrj-85531	79	16	through	through	ADP
esrj-85531	79	17	the	the	DET
esrj-85531	79	18	above	above	ADJ
esrj-85531	79	19	changes	change	NOUN
esrj-85531	79	20	,	,	PUNCT
esrj-85531	79	21	the	the	DET
esrj-85531	79	22	score	score	NOUN
esrj-85531	79	23	of	of	ADP
esrj-85531	79	24	whether	whether	SCONJ
esrj-85531	79	25	the	the	DET
esrj-85531	79	26	final	final	ADJ
esrj-85531	79	27	image	image	NOUN
esrj-85531	79	28	window	window	NOUN
esrj-85531	79	29	contains	contain	VERB
esrj-85531	79	30	the	the	DET
esrj-85531	79	31	target	target	NOUN
esrj-85531	79	32	can	can	AUX
esrj-85531	79	33	be	be	AUX
esrj-85531	79	34	approximated	approximate	VERB
esrj-85531	79	35	as	as	ADP
esrj-85531	79	36	equation	equation	NOUN
esrj-85531	79	37	9	9	NUM
esrj-85531	79	38	:	:	PUNCT
esrj-85531	79	39	s	s	VERB
esrj-85531	79	40	w	w	PROPN
esrj-85531	79	41	g	g	PROPN
esrj-85531	79	42	b	b	PROPN
esrj-85531	79	43	bl	bl	PROPN
esrj-85531	79	44	l	l	PROPN
esrj-85531	79	45	j	j	PROPN
esrj-85531	80	1	b	b	PROPN
esrj-85531	80	2	k	k	PROPN
esrj-85531	80	3	k	k	PROPN
esrj-85531	81	1	n	n	PROPN
esrj-85531	81	2	j	j	PROPN
esrj-85531	82	1	k	k	NOUN
esrj-85531	82	2	lj	lj	PROPN
esrj-85531	82	3	n	n	VERB
esrj-85531	82	4	gw	gw	NOUN
esrj-85531	82	5	=	=	PUNCT
esrj-85531	82	6	(	(	PUNCT
esrj-85531	82	7	)	)	PUNCT
esrj-85531	82	8	(	(	PUNCT
esrj-85531	82	9	)	)	PUNCT
esrj-85531	82	10	(	(	PUNCT
esrj-85531	82	11	)	)	PUNCT
esrj-85531	82	12	=	=	SYM
esrj-85531	83	1	+	+	PUNCT
esrj-85531	83	2	=	=	SYM
esrj-85531	83	3	∑∑	∑∑	PROPN
esrj-85531	83	4	,	,	PUNCT
esrj-85531	83	5	,	,	PUNCT
esrj-85531	83	6	,	,	PUNCT
esrj-85531	83	7	≈	≈	PROPN
esrj-85531	83	8	β	β	X
esrj-85531	83	9	α	α	X
esrj-85531	83	10	−−2	−−2	PROPN
esrj-85531	83	11	2	2	NUM
esrj-85531	83	12	21	21	NUM
esrj-85531	83	13	(	(	PUNCT
esrj-85531	83	14	9	9	NUM
esrj-85531	83	15	)	)	PUNCT
esrj-85531	83	16	among	among	ADP
esrj-85531	83	17	them	they	PRON
esrj-85531	83	18	,	,	PUNCT
esrj-85531	83	19	2	2	NUM
esrj-85531	83	20	2b	2b	NUM
esrj-85531	83	21	k	k	PROPN
esrj-85531	83	22	j	j	PROPN
esrj-85531	83	23	k	k	PROPN
esrj-85531	84	1	lb	lb	NUM
esrj-85531	84	2	b−	b−	PROPN
esrj-85531	84	3	α	α	PROPN
esrj-85531	84	4	−+	−+	PROPN
esrj-85531	84	5	(	(	PUNCT
esrj-85531	84	6	)	)	PUNCT
esrj-85531	84	7	(	(	PUNCT
esrj-85531	84	8	)	)	PUNCT
esrj-85531	84	9	,	,	PUNCT
esrj-85531	84	10	,	,	PUNCT
esrj-85531	84	11	can	can	AUX
esrj-85531	84	12	perform	perform	VERB
esrj-85531	84	13	cpu	cpu	ADJ
esrj-85531	84	14	atomic	atomic	ADJ
esrj-85531	84	15	operations	operation	NOUN
esrj-85531	84	16	,	,	PUNCT
esrj-85531	84	17	which	which	PRON
esrj-85531	84	18	improves	improve	VERB
esrj-85531	84	19	the	the	DET
esrj-85531	84	20	speed	speed	NOUN
esrj-85531	84	21	of	of	ADP
esrj-85531	84	22	bing	bing	NOUN
esrj-85531	84	23	algorithm	algorithm	NOUN
esrj-85531	84	24	.	.	PUNCT
esrj-85531	85	1	discriminant	discriminant	ADJ
esrj-85531	85	2	algorithm	algorithm	PROPN
esrj-85531	85	3	support	support	NOUN
esrj-85531	85	4	vector	vector	NOUN
esrj-85531	85	5	machine	machine	NOUN
esrj-85531	85	6	(	(	PUNCT
esrj-85531	85	7	svm	svm	PROPN
esrj-85531	85	8	)	)	PUNCT
esrj-85531	85	9	is	be	AUX
esrj-85531	85	10	adopted	adopt	VERB
esrj-85531	85	11	in	in	ADP
esrj-85531	85	12	the	the	DET
esrj-85531	85	13	general	general	ADJ
esrj-85531	85	14	discriminant	discriminant	NOUN
esrj-85531	85	15	algorithms	algorithm	NOUN
esrj-85531	85	16	of	of	ADP
esrj-85531	85	17	remote	remote	ADJ
esrj-85531	85	18	sensing	sense	VERB
esrj-85531	85	19	image	image	NOUN
esrj-85531	85	20	technology	technology	NOUN
esrj-85531	85	21	.	.	PUNCT
esrj-85531	86	1	the	the	DET
esrj-85531	86	2	basic	basic	ADJ
esrj-85531	86	3	idea	idea	NOUN
esrj-85531	86	4	of	of	ADP
esrj-85531	86	5	support	support	NOUN
esrj-85531	86	6	vector	vector	NOUN
esrj-85531	86	7	machine	machine	NOUN
esrj-85531	86	8	is	be	AUX
esrj-85531	86	9	shown	show	VERB
esrj-85531	86	10	in	in	ADP
esrj-85531	86	11	figure	figure	NOUN
esrj-85531	86	12	1	1	NUM
esrj-85531	86	13	.	.	PUNCT
esrj-85531	87	1	the	the	DET
esrj-85531	87	2	algorithm	algorithm	NOUN
esrj-85531	87	3	derivation	derivation	NOUN
esrj-85531	87	4	process	process	NOUN
esrj-85531	87	5	of	of	ADP
esrj-85531	87	6	svr	svr	PROPN
esrj-85531	87	7	is	be	AUX
esrj-85531	87	8	as	as	SCONJ
esrj-85531	87	9	follows	follow	VERB
esrj-85531	87	10	(	(	PUNCT
esrj-85531	87	11	ellis	ellis	PROPN
esrj-85531	87	12	&	&	CCONJ
esrj-85531	87	13	coppins	coppin	NOUN
esrj-85531	87	14	,	,	PUNCT
esrj-85531	87	15	2017	2017	NUM
esrj-85531	87	16	)	)	PUNCT
esrj-85531	87	17	.	.	PUNCT
esrj-85531	88	1	first	first	ADV
esrj-85531	88	2	,	,	PUNCT
esrj-85531	88	3	the	the	DET
esrj-85531	88	4	training	training	NOUN
esrj-85531	88	5	set	set	VERB
esrj-85531	88	6	sample	sample	NOUN
esrj-85531	88	7	pairs	pair	NOUN
esrj-85531	88	8	were	be	AUX
esrj-85531	88	9	given	give	VERB
esrj-85531	88	10	:	:	PUNCT
esrj-85531	88	11	t	t	NOUN
esrj-85531	88	12	x	x	SYM
esrj-85531	88	13	y	y	NOUN
esrj-85531	89	1	i	i	NOUN
esrj-85531	89	2	li	li	PROPN
esrj-85531	89	3	i=	i=	PROPN
esrj-85531	89	4	(	(	PUNCT
esrj-85531	89	5	)	)	PUNCT
esrj-85531	89	6	=	=	SYM
esrj-85531	89	7	…	…	PUNCT
esrj-85531	89	8	{	{	PUNCT
esrj-85531	89	9	}	}	PUNCT
esrj-85531	89	10	,	,	PUNCT
esrj-85531	89	11	,	,	PUNCT
esrj-85531	89	12	,	,	PUNCT
esrj-85531	89	13	,	,	PUNCT
esrj-85531	89	14	,	,	PUNCT
esrj-85531	89	15	1	1	NUM
esrj-85531	89	16	2	2	NUM
esrj-85531	89	17	,	,	PUNCT
esrj-85531	89	18	x	x	PROPN
esrj-85531	89	19	ri	ri	PROPN
esrj-85531	89	20	d	d	INTJ
esrj-85531	89	21	,	,	PUNCT
esrj-85531	89	22	y	y	PROPN
esrj-85531	89	23	ri	ri	PROPN
esrj-85531	89	24			PROPN
esrj-85531	89	25	.	.	PUNCT
esrj-85531	90	1	in	in	ADP
esrj-85531	90	2	the	the	DET
esrj-85531	90	3	high	high	ADV
esrj-85531	90	4	-	-	PUNCT
esrj-85531	90	5	dimensional	dimensional	ADJ
esrj-85531	90	6	eigenspace	eigenspace	NOUN
esrj-85531	90	7	,	,	PUNCT
esrj-85531	90	8	the	the	DET
esrj-85531	90	9	linear	linear	ADJ
esrj-85531	90	10	regression	regression	NOUN
esrj-85531	90	11	function	function	NOUN
esrj-85531	90	12	is	be	AUX
esrj-85531	90	13	established	establish	VERB
esrj-85531	90	14	.	.	PUNCT
esrj-85531	91	1	107optimal	107optimal	ADJ
esrj-85531	91	2	allocation	allocation	NOUN
esrj-85531	91	3	algorithm	algorithm	NOUN
esrj-85531	91	4	of	of	ADP
esrj-85531	91	5	geological	geological	ADJ
esrj-85531	91	6	and	and	CCONJ
esrj-85531	91	7	ecological	ecological	ADJ
esrj-85531	91	8	high	high	ADJ
esrj-85531	91	9	-	-	PUNCT
esrj-85531	91	10	resolution	resolution	NOUN
esrj-85531	91	11	remote	remote	ADJ
esrj-85531	91	12	sensing	sense	VERB
esrj-85531	91	13	monitoring	monitoring	NOUN
esrj-85531	91	14	sampling	sample	VERB
esrj-85531	91	15	points	point	NOUN
esrj-85531	92	1	f	f	NOUN
esrj-85531	92	2	x	x	X
esrj-85531	92	3	a	a	DET
esrj-85531	92	4	a	a	DET
esrj-85531	92	5	x	x	SYM
esrj-85531	92	6	x	x	SYM
esrj-85531	92	7	b	b	NOUN
esrj-85531	92	8	a	a	PRON
esrj-85531	92	9	a	a	DET
esrj-85531	92	10	k	k	NOUN
esrj-85531	93	1	x	x	PUNCT
esrj-85531	93	2	x	x	SYM
esrj-85531	93	3	b	b	NOUN
esrj-85531	93	4	i	i	PRON
esrj-85531	94	1	i	i	PRON
esrj-85531	95	1	i	i	VERB
esrj-85531	95	2	l	l	VERB
esrj-85531	96	1	i	i	PRON
esrj-85531	96	2	j	j	VERB
esrj-85531	97	1	i	i	PRON
esrj-85531	97	2	i	i	PRON
esrj-85531	98	1	i	i	INTJ
esrj-85531	98	2	j	j	VERB
esrj-85531	99	1	i	i	PRON
esrj-85531	99	2	l	l	PROPN
esrj-85531	99	3	(	(	PUNCT
esrj-85531	99	4	16	16	NUM
esrj-85531	99	5	)	)	PUNCT
esrj-85531	99	6	the	the	DET
esrj-85531	99	7	principle	principle	ADJ
esrj-85531	99	8	diagram	diagram	NOUN
esrj-85531	99	9	of	of	ADP
esrj-85531	99	10	support	support	NOUN
esrj-85531	99	11	vector	vector	NOUN
esrj-85531	99	12	regression	regression	NOUN
esrj-85531	99	13	machine	machine	NOUN
esrj-85531	99	14	is	be	AUX
esrj-85531	99	15	shown	show	VERB
esrj-85531	99	16	in	in	ADP
esrj-85531	99	17	figure	figure	NOUN
esrj-85531	99	18	2	2	NUM
esrj-85531	99	19	.	.	PUNCT
esrj-85531	99	20	k(x1,x	k(x1,x	PROPN
esrj-85531	99	21	)	)	PUNCT
esrj-85531	99	22	k(x2,x	k(x2,x	PROPN
esrj-85531	99	23	)	)	PUNCT
esrj-85531	99	24	k(xn	k(xn	PROPN
esrj-85531	99	25	,	,	PUNCT
esrj-85531	99	26	x	x	X
esrj-85531	99	27	)	)	PUNCT
esrj-85531	99	28	∑	∑	PUNCT
esrj-85531	99	29	the	the	DET
esrj-85531	99	30	hidden	hidden	ADJ
esrj-85531	99	31	layer	layer	NOUN
esrj-85531	99	32	the	the	DET
esrj-85531	99	33	input	input	NOUN
esrj-85531	99	34	layer	layer	NOUN
esrj-85531	99	35	x=[x1,x2,	x=[x1,x2,	PROPN
esrj-85531	99	36	…	…	PUNCT
esrj-85531	99	37	,xn	,xn	PUNCT
esrj-85531	99	38	]	]	PUNCT
esrj-85531	99	39	y	y	PROPN
esrj-85531	99	40	bias	bias	NOUN
esrj-85531	100	1	x2	x2	INTJ
esrj-85531	101	1	x1	x1	NUM
esrj-85531	101	2	xn	xn	PROPN
esrj-85531	101	3	figure	figure	NOUN
esrj-85531	101	4	2	2	NUM
esrj-85531	101	5	.	.	PUNCT
esrj-85531	101	6	schematic	schematic	ADJ
esrj-85531	101	7	graph	graph	NOUN
esrj-85531	101	8	of	of	ADP
esrj-85531	101	9	svr	svr	PROPN
esrj-85531	101	10	improved	improve	VERB
esrj-85531	101	11	bing	bing	NOUN
esrj-85531	101	12	algorithm	algorithm	NOUN
esrj-85531	101	13	because	because	SCONJ
esrj-85531	101	14	the	the	DET
esrj-85531	101	15	bing	bing	NOUN
esrj-85531	101	16	algorithm	algorithm	NOUN
esrj-85531	101	17	was	be	AUX
esrj-85531	101	18	easy	easy	ADJ
esrj-85531	101	19	to	to	PART
esrj-85531	101	20	miss	miss	VERB
esrj-85531	101	21	the	the	DET
esrj-85531	101	22	fuzzy	fuzzy	ADJ
esrj-85531	101	23	monitoring	monitoring	NOUN
esrj-85531	101	24	samples	sample	NOUN
esrj-85531	101	25	,	,	PUNCT
esrj-85531	101	26	in	in	ADP
esrj-85531	101	27	this	this	DET
esrj-85531	101	28	research	research	NOUN
esrj-85531	101	29	,	,	PUNCT
esrj-85531	101	30	the	the	DET
esrj-85531	101	31	candidate	candidate	NOUN
esrj-85531	101	32	region	region	NOUN
esrj-85531	101	33	extraction	extraction	NOUN
esrj-85531	101	34	algorithm	algorithm	NOUN
esrj-85531	101	35	was	be	AUX
esrj-85531	101	36	improved	improve	VERB
esrj-85531	101	37	.	.	PUNCT
esrj-85531	102	1	firstly	firstly	ADV
esrj-85531	102	2	,	,	PUNCT
esrj-85531	102	3	different	different	ADJ
esrj-85531	102	4	weak	weak	ADJ
esrj-85531	102	5	feature	feature	NOUN
esrj-85531	102	6	channels	channel	NOUN
esrj-85531	102	7	were	be	AUX
esrj-85531	102	8	extracted	extract	VERB
esrj-85531	102	9	from	from	ADP
esrj-85531	102	10	each	each	DET
esrj-85531	102	11	training	training	NOUN
esrj-85531	102	12	sample	sample	NOUN
esrj-85531	102	13	,	,	PUNCT
esrj-85531	102	14	and	and	CCONJ
esrj-85531	102	15	a	a	DET
esrj-85531	102	16	scoring	scoring	NOUN
esrj-85531	102	17	model	model	NOUN
esrj-85531	102	18	was	be	AUX
esrj-85531	102	19	developed	develop	VERB
esrj-85531	102	20	for	for	ADP
esrj-85531	102	21	each	each	DET
esrj-85531	102	22	weak	weak	ADJ
esrj-85531	102	23	feature	feature	NOUN
esrj-85531	102	24	channel	channel	NOUN
esrj-85531	102	25	.	.	PUNCT
esrj-85531	103	1	then	then	ADV
esrj-85531	103	2	the	the	DET
esrj-85531	103	3	score	score	NOUN
esrj-85531	103	4	of	of	ADP
esrj-85531	103	5	a	a	DET
esrj-85531	103	6	scoring	scoring	NOUN
esrj-85531	103	7	model	model	NOUN
esrj-85531	103	8	was	be	AUX
esrj-85531	103	9	trained	train	VERB
esrj-85531	103	10	by	by	ADP
esrj-85531	103	11	each	each	DET
esrj-85531	103	12	weak	weak	ADJ
esrj-85531	103	13	feature	feature	NOUN
esrj-85531	103	14	channel	channel	NOUN
esrj-85531	103	15	as	as	ADP
esrj-85531	103	16	the	the	DET
esrj-85531	103	17	score	score	NOUN
esrj-85531	103	18	of	of	ADP
esrj-85531	103	19	candidate	candidate	NOUN
esrj-85531	103	20	window	window	NOUN
esrj-85531	103	21	.	.	PUNCT
esrj-85531	104	1	because	because	SCONJ
esrj-85531	104	2	the	the	DET
esrj-85531	104	3	integration	integration	NOUN
esrj-85531	104	4	part	part	NOUN
esrj-85531	104	5	adopted	adopt	VERB
esrj-85531	104	6	a	a	DET
esrj-85531	104	7	simple	simple	ADJ
esrj-85531	104	8	linear	linear	ADJ
esrj-85531	104	9	weighting	weighting	NOUN
esrj-85531	104	10	method	method	NOUN
esrj-85531	104	11	,	,	PUNCT
esrj-85531	104	12	the	the	DET
esrj-85531	104	13	accuracy	accuracy	NOUN
esrj-85531	104	14	of	of	ADP
esrj-85531	104	15	each	each	DET
esrj-85531	104	16	model	model	NOUN
esrj-85531	104	17	determined	determine	VERB
esrj-85531	104	18	the	the	DET
esrj-85531	104	19	weight	weight	NOUN
esrj-85531	104	20	of	of	ADP
esrj-85531	104	21	the	the	DET
esrj-85531	104	22	model	model	NOUN
esrj-85531	104	23	.	.	PUNCT
esrj-85531	105	1	thus	thus	ADV
esrj-85531	105	2	,	,	PUNCT
esrj-85531	105	3	the	the	DET
esrj-85531	105	4	corresponding	corresponding	ADJ
esrj-85531	105	5	scoring	scoring	NOUN
esrj-85531	105	6	model	model	NOUN
esrj-85531	105	7	for	for	ADP
esrj-85531	105	8	each	each	DET
esrj-85531	105	9	window	window	NOUN
esrj-85531	105	10	was	be	AUX
esrj-85531	105	11	obtained	obtain	VERB
esrj-85531	105	12	,	,	PUNCT
esrj-85531	105	13	as	as	SCONJ
esrj-85531	105	14	shown	show	VERB
esrj-85531	105	15	in	in	ADP
esrj-85531	105	16	equation	equation	NOUN
esrj-85531	105	17	(	(	PUNCT
esrj-85531	105	18	17	17	NUM
esrj-85531	105	19	)	)	PUNCT
esrj-85531	105	20	and	and	CCONJ
esrj-85531	105	21	(	(	PUNCT
esrj-85531	105	22	18	18	NUM
esrj-85531	105	23	)	)	PUNCT
esrj-85531	105	24	.	.	PUNCT
esrj-85531	106	1	s	s	PART
esrj-85531	107	1	w	w	NOUN
esrj-85531	107	2	gkl	gkl	PROPN
esrj-85531	107	3	k	k	PROPN
esrj-85531	107	4	kl=	kl=	PROPN
esrj-85531	107	5	(	(	PUNCT
esrj-85531	107	6	)	)	PUNCT
esrj-85531	107	7	,	,	PUNCT
esrj-85531	107	8	(	(	PUNCT
esrj-85531	107	9	17	17	NUM
esrj-85531	107	10	)	)	PUNCT
esrj-85531	107	11	l	l	NOUN
esrj-85531	108	1	i	i	PRON
esrj-85531	108	2	x	x	VERB
esrj-85531	108	3	y=	y=	PRON
esrj-85531	108	4	(	(	PUNCT
esrj-85531	108	5	)	)	PUNCT
esrj-85531	108	6	,	,	PUNCT
esrj-85531	108	7	,	,	PUNCT
esrj-85531	108	8	(	(	PUNCT
esrj-85531	108	9	18	18	NUM
esrj-85531	108	10	)	)	PUNCT
esrj-85531	108	11	among	among	ADP
esrj-85531	108	12	them	they	PRON
esrj-85531	108	13	,	,	PUNCT
esrj-85531	108	14	wk	wk	X
esrj-85531	108	15	is	be	AUX
esrj-85531	108	16	the	the	DET
esrj-85531	108	17	parameter	parameter	NOUN
esrj-85531	108	18	of	of	ADP
esrj-85531	108	19	scoring	scoring	NOUN
esrj-85531	108	20	model	model	NOUN
esrj-85531	108	21	k	k	PROPN
esrj-85531	108	22	;	;	PUNCT
esrj-85531	108	23	skl	skl	NOUN
esrj-85531	108	24	represents	represent	VERB
esrj-85531	108	25	the	the	DET
esrj-85531	108	26	score	score	NOUN
esrj-85531	108	27	of	of	ADP
esrj-85531	108	28	window	window	NOUN
esrj-85531	108	29	l	l	NOUN
esrj-85531	108	30	by	by	ADP
esrj-85531	108	31	the	the	DET
esrj-85531	108	32	scoring	scoring	NOUN
esrj-85531	108	33	model	model	NOUN
esrj-85531	108	34	;	;	PUNCT
esrj-85531	108	35	and	and	CCONJ
esrj-85531	108	36	gkl	gkl	PRON
esrj-85531	108	37	indicates	indicate	VERB
esrj-85531	108	38	the	the	DET
esrj-85531	108	39	feature	feature	NOUN
esrj-85531	108	40	value	value	NOUN
esrj-85531	108	41	k	k	PROPN
esrj-85531	108	42	at	at	ADP
esrj-85531	108	43	window	window	NOUN
esrj-85531	108	44	1	1	NUM
esrj-85531	108	45	.	.	PUNCT
esrj-85531	109	1	therefore	therefore	ADV
esrj-85531	109	2	,	,	PUNCT
esrj-85531	109	3	the	the	DET
esrj-85531	109	4	final	final	ADJ
esrj-85531	109	5	window	window	NOUN
esrj-85531	109	6	score	score	NOUN
esrj-85531	109	7	in	in	ADP
esrj-85531	109	8	the	the	DET
esrj-85531	109	9	first	first	ADJ
esrj-85531	109	10	stage	stage	NOUN
esrj-85531	109	11	is	be	AUX
esrj-85531	109	12	expressed	express	VERB
esrj-85531	109	13	by	by	ADP
esrj-85531	109	14	equation	equation	NOUN
esrj-85531	109	15	(	(	PUNCT
esrj-85531	109	16	19	19	NUM
esrj-85531	109	17	)	)	PUNCT
esrj-85531	109	18	.	.	PUNCT
esrj-85531	110	1	g	g	NOUN
esrj-85531	110	2	sk	sk	INTJ
esrj-85531	110	3	kln	kln	PROPN
esrj-85531	110	4	=	=	SYM
esrj-85531	110	5	∑	∑	ADP
esrj-85531	110	6			NOUN
esrj-85531	110	7	(	(	PUNCT
esrj-85531	110	8	19	19	NUM
esrj-85531	110	9	)	)	PUNCT
esrj-85531	110	10	among	among	ADP
esrj-85531	110	11	them	they	PRON
esrj-85531	110	12	,	,	PUNCT
esrj-85531	110	13	k	k	PROPN
esrj-85531	110	14	is	be	AUX
esrj-85531	110	15	the	the	DET
esrj-85531	110	16	weight	weight	NOUN
esrj-85531	110	17	of	of	ADP
esrj-85531	110	18	the	the	DET
esrj-85531	110	19	eigenvalue	eigenvalue	NOUN
esrj-85531	110	20	of	of	ADP
esrj-85531	110	21	the	the	DET
esrj-85531	110	22	scoring	scoring	NOUN
esrj-85531	110	23	model	model	NOUN
esrj-85531	110	24	.	.	PUNCT
esrj-85531	111	1	after	after	ADP
esrj-85531	111	2	correction	correction	NOUN
esrj-85531	111	3	according	accord	VERB
esrj-85531	111	4	to	to	ADP
esrj-85531	111	5	the	the	DET
esrj-85531	111	6	scoring	scoring	NOUN
esrj-85531	111	7	model	model	NOUN
esrj-85531	111	8	of	of	ADP
esrj-85531	111	9	the	the	DET
esrj-85531	111	10	second	second	ADJ
esrj-85531	111	11	stage	stage	NOUN
esrj-85531	111	12	,	,	PUNCT
esrj-85531	111	13	the	the	DET
esrj-85531	111	14	window	window	NOUN
esrj-85531	111	15	score	score	NOUN
esrj-85531	111	16	is	be	AUX
esrj-85531	111	17	shown	show	VERB
esrj-85531	111	18	in	in	ADP
esrj-85531	111	19	equation	equation	NOUN
esrj-85531	111	20	(	(	PUNCT
esrj-85531	111	21	20	20	NUM
esrj-85531	111	22	)	)	PUNCT
esrj-85531	111	23	.	.	PUNCT
esrj-85531	112	1	o	o	X
esrj-85531	113	1	a	a	PRON
esrj-85531	113	2	s	s	X
esrj-85531	113	3	v	v	NOUN
esrj-85531	113	4	tl	tl	PROPN
esrj-85531	113	5	k	k	INTJ
esrj-85531	113	6	kl	kl	INTJ
esrj-85531	113	7	i	i	PRON
esrj-85531	113	8	in	in	ADP
esrj-85531	113	9	=	=	PUNCT
esrj-85531	113	10	∗	∗	NOUN
esrj-85531	113	11	+	+	PROPN
esrj-85531	113	12	∑	∑	PROPN
esrj-85531	113	13	(	(	PUNCT
esrj-85531	113	14	20	20	NUM
esrj-85531	113	15	)	)	PUNCT
esrj-85531	113	16	in	in	ADP
esrj-85531	113	17	bing	bing	NOUN
esrj-85531	113	18	algorithm	algorithm	NOUN
esrj-85531	113	19	,	,	PUNCT
esrj-85531	113	20	ng	ng	PROPN
esrj-85531	113	21	feature	feature	NOUN
esrj-85531	113	22	graph	graph	NOUN
esrj-85531	113	23	is	be	AUX
esrj-85531	113	24	calculated	calculate	VERB
esrj-85531	113	25	for	for	ADP
esrj-85531	113	26	test	test	NOUN
esrj-85531	113	27	sample	sample	NOUN
esrj-85531	113	28	points	point	NOUN
esrj-85531	113	29	,	,	PUNCT
esrj-85531	113	30	and	and	CCONJ
esrj-85531	113	31	then	then	ADV
esrj-85531	113	32	binary	binary	ADJ
esrj-85531	113	33	approximation	approximation	NOUN
esrj-85531	113	34	window	window	NOUN
esrj-85531	113	35	ng	ng	PROPN
esrj-85531	113	36	feature	feature	NOUN
esrj-85531	113	37	and	and	CCONJ
esrj-85531	113	38	scoring	scoring	NOUN
esrj-85531	113	39	model	model	NOUN
esrj-85531	113	40	f	f	PROPN
esrj-85531	113	41	x	x	PROPN
esrj-85531	113	42	w	w	PROPN
esrj-85531	113	43	x	x	SYM
esrj-85531	113	44	b	b	PROPN
esrj-85531	113	45	(	(	PUNCT
esrj-85531	113	46	)	)	PUNCT
esrj-85531	113	47	=	=	SYM
esrj-85531	113	48	(	(	PUNCT
esrj-85531	113	49	)	)	PUNCT
esrj-85531	114	1	+	+	NOUN
esrj-85531	114	2			PROPN
esrj-85531	114	3	(	(	PUNCT
esrj-85531	114	4	10	10	NUM
esrj-85531	114	5	)	)	PUNCT
esrj-85531	114	6	among	among	ADP
esrj-85531	114	7	them	they	PRON
esrj-85531	114	8	,	,	PUNCT
esrj-85531	114	9	w	w	PROPN
esrj-85531	114	10	is	be	AUX
esrj-85531	114	11	weight	weight	NOUN
esrj-85531	114	12	vector	vector	NOUN
esrj-85531	114	13	;	;	PUNCT
esrj-85531	114	14	(x	(x	X
esrj-85531	114	15	)	)	PUNCT
esrj-85531	114	16	represents	represent	VERB
esrj-85531	114	17	the	the	DET
esrj-85531	114	18	nonlinear	nonlinear	ADJ
esrj-85531	114	19	mapping	mapping	NOUN
esrj-85531	114	20	function	function	NOUN
esrj-85531	114	21	;	;	PUNCT
esrj-85531	114	22	and	and	CCONJ
esrj-85531	114	23	representative	representative	ADJ
esrj-85531	114	24	bias	bias	NOUN
esrj-85531	114	25	.	.	PUNCT
esrj-85531	115	1	the	the	DET
esrj-85531	115	2	c	c	NOUN
esrj-85531	115	3	-	-	PUNCT
esrj-85531	115	4	linear	linear	ADJ
esrj-85531	115	5	insensitive	insensitive	ADJ
esrj-85531	115	6	loss	loss	NOUN
esrj-85531	115	7	function	function	NOUN
esrj-85531	115	8	is	be	AUX
esrj-85531	115	9	defined	define	VERB
esrj-85531	115	10	as	as	ADP
esrj-85531	115	11	equation	equation	NOUN
esrj-85531	115	12	(	(	PUNCT
esrj-85531	115	13	11	11	NUM
esrj-85531	115	14	)	)	PUNCT
esrj-85531	115	15	.	.	PUNCT
esrj-85531	116	1	l	l	NOUN
esrj-85531	117	1	f	f	X
esrj-85531	117	2	x	x	PUNCT
esrj-85531	117	3	y	y	VERB
esrj-85531	117	4	y	y	NOUN
esrj-85531	117	5	f	f	PROPN
esrj-85531	117	6	x	x	X
esrj-85531	117	7	y	y	NOUN
esrj-85531	117	8	f	f	PROPN
esrj-85531	117	9	x	x	VERB
esrj-85531	117	10	y	y	NOUN
esrj-85531	117	11	f	f	PROPN
esrj-85531	117	12	x	x	PROPN
esrj-85531	117	13	(	(	PUNCT
esrj-85531	117	14	)	)	PUNCT
esrj-85531	117	15	(	(	PUNCT
esrj-85531	117	16	)	)	PUNCT
esrj-85531	117	17	=	=	SYM
esrj-85531	117	18	(	(	PUNCT
esrj-85531	117	19	)	)	PUNCT
esrj-85531	117	20	(	(	PUNCT
esrj-85531	117	21	)	)	PUNCT
esrj-85531	117	22	(	(	PUNCT
esrj-85531	117	23	)	)	PUNCT
esrj-85531	117	24			PROPN
esrj-85531	117	25			PRON
esrj-85531	117	26			ADJ
esrj-85531	117	27			PROPN
esrj-85531	117	28	,	,	PUNCT
esrj-85531	117	29	,	,	PUNCT
esrj-85531	117	30	,	,	PUNCT
esrj-85531	117	31	,	,	PUNCT
esrj-85531	117	32	ε	ε	PROPN
esrj-85531	117	33	−	−	PROPN
esrj-85531	117	34	≤	≤	PUNCT
esrj-85531	117	35	ε	ε	PROPN
esrj-85531	118	1	−	−	PROPN
esrj-85531	118	2	−ε	−ε	PROPN
esrj-85531	118	3	−	−	PROPN
esrj-85531	118	4	>	>	X
esrj-85531	118	5	ε	ε	PROPN
esrj-85531	118	6	0	0	PUNCT
esrj-85531	119	1	(	(	PUNCT
esrj-85531	119	2	11	11	NUM
esrj-85531	119	3	)	)	PUNCT
esrj-85531	119	4	among	among	ADP
esrj-85531	119	5	them	they	PRON
esrj-85531	119	6	,	,	PUNCT
esrj-85531	119	7	f(x	f(x	PROPN
esrj-85531	119	8	)	)	PUNCT
esrj-85531	119	9	is	be	AUX
esrj-85531	119	10	the	the	DET
esrj-85531	119	11	predicted	predict	VERB
esrj-85531	119	12	value	value	NOUN
esrj-85531	119	13	,	,	PUNCT
esrj-85531	119	14	y	y	PROPN
esrj-85531	119	15	is	be	AUX
esrj-85531	119	16	the	the	DET
esrj-85531	119	17	corresponding	corresponding	ADJ
esrj-85531	119	18	real	real	ADJ
esrj-85531	119	19	value	value	NOUN
esrj-85531	119	20	,	,	PUNCT
esrj-85531	119	21	and	and	CCONJ
esrj-85531	119	22			PROPN
esrj-85531	119	23	is	be	AUX
esrj-85531	119	24	the	the	DET
esrj-85531	119	25	insensitive	insensitive	ADJ
esrj-85531	119	26	coefficient	coefficient	NOUN
esrj-85531	119	27	to	to	PART
esrj-85531	119	28	control	control	VERB
esrj-85531	119	29	the	the	DET
esrj-85531	119	30	fitting	fitting	ADJ
esrj-85531	119	31	accuracy	accuracy	NOUN
esrj-85531	119	32	.	.	PUNCT
esrj-85531	120	1	secondly	secondly	ADV
esrj-85531	120	2	,	,	PUNCT
esrj-85531	120	3	relaxation	relaxation	NOUN
esrj-85531	120	4	variables	variable	NOUN
esrj-85531	120	5	,	,	PUNCT
esrj-85531	120	6	that	that	ADV
esrj-85531	120	7	is	is	ADV
esrj-85531	120	8	,	,	PUNCT
esrj-85531	120	9	i	i	ADP
esrj-85531	120	10	and	and	CCONJ
esrj-85531	120	11	j	j	NOUN
esrj-85531	120	12	,	,	PUNCT
esrj-85531	120	13	are	be	AUX
esrj-85531	120	14	introduced	introduce	VERB
esrj-85531	120	15	.	.	PUNCT
esrj-85531	121	1	according	accord	VERB
esrj-85531	121	2	to	to	ADP
esrj-85531	121	3	srm	srm	NOUN
esrj-85531	121	4	criterion	criterion	NOUN
esrj-85531	121	5	,	,	PUNCT
esrj-85531	121	6	the	the	DET
esrj-85531	121	7	minimization	minimization	NOUN
esrj-85531	121	8	objective	objective	ADJ
esrj-85531	121	9	function	function	NOUN
esrj-85531	121	10	is	be	AUX
esrj-85531	121	11	constructed	construct	VERB
esrj-85531	121	12	,	,	PUNCT
esrj-85531	121	13	as	as	SCONJ
esrj-85531	121	14	shown	show	VERB
esrj-85531	121	15	in	in	ADP
esrj-85531	121	16	equation	equation	NOUN
esrj-85531	121	17	12	12	NUM
esrj-85531	121	18	.	.	PUNCT
esrj-85531	122	1	min	min	NOUN
esrj-85531	122	2	*	*	SYM
esrj-85531	122	3	1	1	NUM
esrj-85531	122	4	2	2	NUM
esrj-85531	122	5	2w	2w	NUM
esrj-85531	122	6	c	c	NOUN
esrj-85531	123	1	i	i	PRON
esrj-85531	123	2	i	i	PRON
esrj-85531	124	1	i	i	VERB
esrj-85531	124	2	l	l	VERB
esrj-85531	124	3	l	l	NOUN
esrj-85531	125	1	+	+	PUNCT
esrj-85531	125	2	+	+	ADJ
esrj-85531	125	3	(	(	PUNCT
esrj-85531	125	4	)	)	PUNCT
esrj-85531	125	5	=	=	SYM
esrj-85531	125	6	∑	∑	PUNCT
esrj-85531	125	7			PROPN
esrj-85531	125	8			X
esrj-85531	125	9	(	(	PUNCT
esrj-85531	125	10	12	12	NUM
esrj-85531	125	11	)	)	PUNCT
esrj-85531	125	12	s	s	PART
esrj-85531	125	13	t	t	NOUN
esrj-85531	125	14	y	y	PROPN
esrj-85531	125	15	w	w	PROPN
esrj-85531	125	16	x	x	PROPN
esrj-85531	125	17	b	b	PROPN
esrj-85531	125	18	y	y	PROPN
esrj-85531	125	19	w	w	PROPN
esrj-85531	126	1	x	x	PROPN
esrj-85531	126	2	b	b	NOUN
esrj-85531	127	1	i	i	NOUN
esrj-85531	127	2	l	l	NOUN
esrj-85531	128	1	i	i	PRON
esrj-85531	128	2	i	i	PRON
esrj-85531	129	1	i	i	PRON
esrj-85531	129	2	i	i	PRON
esrj-85531	130	1	i	i	PRON
esrj-85531	130	2	i	i	VERB
esrj-85531	130	3	i	i	PRON
esrj-85531	130	4	.	.	PUNCT
esrj-85531	130	5	.	.	PUNCT
esrj-85531	131	1	,	,	PUNCT
esrj-85531	131	2	,	,	PUNCT
esrj-85531	131	3	,	,	PUNCT
esrj-85531	131	4	,	,	PUNCT
esrj-85531	131	5	,	,	PUNCT
esrj-85531	131	6	*	*	PUNCT
esrj-85531	131	7	−	−	PROPN
esrj-85531	131	8	φ	φ	NUM
esrj-85531	131	9	−	−	PROPN
esrj-85531	132	1	≤ε	≤ε	PROPN
esrj-85531	132	2	ξ	ξ	PROPN
esrj-85531	132	3	−	−	PROPN
esrj-85531	132	4	φ	φ	PROPN
esrj-85531	132	5	≤ε	≤ε	PROPN
esrj-85531	132	6	ξ	ξ	PROPN
esrj-85531	132	7	ξ	ξ	X
esrj-85531	132	8	≥	≥	X
esrj-85531	132	9	ξ	ξ	X
esrj-85531	132	10	≥	≥	X
esrj-85531	132	11	(	(	PUNCT
esrj-85531	132	12	)	)	PUNCT
esrj-85531	133	1	+	+	CCONJ
esrj-85531	133	2	+	+	CCONJ
esrj-85531	133	3	(	(	PUNCT
esrj-85531	133	4	)	)	PUNCT
esrj-85531	134	1	+	+	PUNCT
esrj-85531	134	2	+	+	PUNCT
esrj-85531	134	3	=	=	NOUN
esrj-85531	134	4	…	…	PUNCT
esrj-85531	134	5			NOUN
esrj-85531	134	6			PRON
esrj-85531	134	7	1	1	NUM
esrj-85531	134	8	2	2	NUM
esrj-85531	134	9	0	0	NUM
esrj-85531	134	10	0	0	NUM
esrj-85531	134	11			PROPN
esrj-85531	134	12			ADJ
esrj-85531	134	13			PROPN
esrj-85531	134	14			PROPN
esrj-85531	134	15	(	(	PUNCT
esrj-85531	134	16	13	13	NUM
esrj-85531	134	17	)	)	PUNCT
esrj-85531	134	18	among	among	ADP
esrj-85531	134	19	them	they	PRON
esrj-85531	134	20	,	,	PUNCT
esrj-85531	134	21	c	c	X
esrj-85531	134	22	>	>	X
esrj-85531	134	23	0	0	NUM
esrj-85531	134	24	is	be	AUX
esrj-85531	134	25	the	the	DET
esrj-85531	134	26	penalty	penalty	NOUN
esrj-85531	134	27	factor	factor	NOUN
esrj-85531	134	28	,	,	PUNCT
esrj-85531	134	29	and	and	CCONJ
esrj-85531	134	30	represents	represent	VERB
esrj-85531	134	31	the	the	DET
esrj-85531	134	32	punishment	punishment	NOUN
esrj-85531	134	33	intensity	intensity	NOUN
esrj-85531	134	34	for	for	ADP
esrj-85531	134	35	samples	sample	NOUN
esrj-85531	134	36	with	with	ADP
esrj-85531	134	37	an	an	DET
esrj-85531	134	38	error	error	NOUN
esrj-85531	134	39	greater	great	ADJ
esrj-85531	134	40	than	than	ADP
esrj-85531	134	41	1	1	NUM
esrj-85531	134	42	during	during	ADP
esrj-85531	134	43	training	training	NOUN
esrj-85531	134	44	.	.	PUNCT
esrj-85531	135	1	lagrange	lagrange	NOUN
esrj-85531	135	2	equation	equation	NOUN
esrj-85531	135	3	is	be	AUX
esrj-85531	135	4	introduced	introduce	VERB
esrj-85531	135	5	into	into	ADP
esrj-85531	135	6	equation	equation	NOUN
esrj-85531	135	7	(	(	PUNCT
esrj-85531	135	8	13	13	NUM
esrj-85531	135	9	)	)	PUNCT
esrj-85531	135	10	to	to	PART
esrj-85531	135	11	obtain	obtain	VERB
esrj-85531	135	12	dual	dual	ADJ
esrj-85531	135	13	optimization	optimization	NOUN
esrj-85531	135	14	problem	problem	NOUN
esrj-85531	135	15	,	,	PUNCT
esrj-85531	135	16	as	as	SCONJ
esrj-85531	135	17	shown	show	VERB
esrj-85531	135	18	in	in	ADP
esrj-85531	135	19	equation	equation	NOUN
esrj-85531	135	20	(	(	PUNCT
esrj-85531	135	21	14	14	NUM
esrj-85531	135	22	)	)	PUNCT
esrj-85531	135	23	and	and	CCONJ
esrj-85531	135	24	(	(	PUNCT
esrj-85531	135	25	15	15	NUM
esrj-85531	135	26	):	):	PUNCT
esrj-85531	135	27	min	min	NOUN
esrj-85531	136	1	*	*	PUNCT
esrj-85531	137	1	*	*	PUNCT
esrj-85531	137	2	*	*	PUNCT
esrj-85531	137	3	*	*	PUNCT
esrj-85531	137	4	,	,	PUNCT
esrj-85531	137	5	1	1	NUM
esrj-85531	137	6	2	2	NUM
esrj-85531	137	7	111	111	NUM
esrj-85531	137	8	a	a	PRON
esrj-85531	137	9	a	a	DET
esrj-85531	137	10	k	k	NOUN
esrj-85531	137	11	a	a	DET
esrj-85531	137	12	a	a	DET
esrj-85531	137	13	a	a	DET
esrj-85531	137	14	a	a	DET
esrj-85531	137	15	a	a	DET
esrj-85531	137	16	a	a	DET
esrj-85531	137	17	yi	yi	NOUN
esrj-85531	138	1	i	i	PRON
esrj-85531	138	2	j	j	PROPN
esrj-85531	139	1	j	j	INTJ
esrj-85531	140	1	i	i	PRON
esrj-85531	140	2	i	i	PRON
esrj-85531	141	1	i	i	PRON
esrj-85531	141	2	i	i	PRON
esrj-85531	142	1	i	i	PRON
esrj-85531	143	1	i	i	VERB
esrj-85531	143	2	l	l	VERB
esrj-85531	144	1	i	i	VERB
esrj-85531	144	2	l	l	VERB
esrj-85531	145	1	i	i	PRON
esrj-85531	145	2	j	j	PROPN
esrj-85531	146	1	−	−	NOUN
esrj-85531	146	2	−	−	PROPN
esrj-85531	147	1	−	−	PROPN
esrj-85531	147	2	−	−	PROPN
esrj-85531	147	3	ε	ε	PROPN
esrj-85531	147	4	−	−	PROPN
esrj-85531	147	5	(	(	PUNCT
esrj-85531	147	6	)	)	PUNCT
esrj-85531	147	7	(	(	PUNCT
esrj-85531	147	8	)	)	PUNCT
esrj-85531	147	9	(	(	PUNCT
esrj-85531	147	10	)	)	PUNCT
esrj-85531	148	1	+	+	CCONJ
esrj-85531	148	2	(	(	PUNCT
esrj-85531	148	3	)	)	PUNCT
esrj-85531	148	4	=	=	NOUN
esrj-85531	148	5	=	=	SYM
esrj-85531	148	6	=	=	SYM
esrj-85531	148	7	∑∑	∑∑	PROPN
esrj-85531	148	8	ll	ll	AUX
esrj-85531	148	9	∑	∑	ADV
esrj-85531	148	10			VERB
esrj-85531	148	11			NOUN
esrj-85531	148	12			ADJ
esrj-85531	148	13			ADJ
esrj-85531	148	14			ADJ
esrj-85531	148	15			PROPN
esrj-85531	148	16			PROPN
esrj-85531	148	17			PROPN
esrj-85531	148	18			PROPN
esrj-85531	148	19			PROPN
esrj-85531	148	20	(	(	PUNCT
esrj-85531	148	21	14	14	NUM
esrj-85531	148	22	)	)	PUNCT
esrj-85531	148	23	s	s	PART
esrj-85531	148	24	t	t	NOUN
esrj-85531	148	25	a	a	PRON
esrj-85531	148	26	a	a	DET
esrj-85531	148	27	a	a	NOUN
esrj-85531	148	28	a	a	NOUN
esrj-85531	148	29	c	c	NOUN
esrj-85531	149	1	i	i	PRON
esrj-85531	149	2	i	i	PRON
esrj-85531	150	1	i	i	VERB
esrj-85531	150	2	l	l	VERB
esrj-85531	151	1	i	i	PRON
esrj-85531	151	2	i	i	INTJ
esrj-85531	151	3	.	.	PUNCT
esrj-85531	151	4	.	.	PUNCT
esrj-85531	152	1	,	,	PUNCT
esrj-85531	152	2	,	,	PUNCT
esrj-85531	152	3	*	*	PUNCT
esrj-85531	153	1	−	−	PROPN
esrj-85531	154	1	∈	∈	NOUN
esrj-85531	154	2	(	(	PUNCT
esrj-85531	154	3	)	)	PUNCT
esrj-85531	154	4	=	=	SYM
esrj-85531	154	5			NOUN
esrj-85531	154	6			NOUN
esrj-85531	154	7			VERB
esrj-85531	154	8			ADP
esrj-85531	154	9			PROPN
esrj-85531	154	10			PROPN
esrj-85531	154	11			PROPN
esrj-85531	154	12			PROPN
esrj-85531	154	13	=	=	SYM
esrj-85531	154	14	∑	∑	PUNCT
esrj-85531	154	15	0	0	NUM
esrj-85531	154	16	0	0	NUM
esrj-85531	154	17	1	1	NUM
esrj-85531	154	18	(	(	PUNCT
esrj-85531	154	19	15	15	NUM
esrj-85531	154	20	)	)	PUNCT
esrj-85531	154	21	among	among	ADP
esrj-85531	154	22	them	they	PRON
esrj-85531	154	23	,	,	PUNCT
esrj-85531	154	24	k	k	PROPN
esrj-85531	154	25	x	x	PUNCT
esrj-85531	154	26	x	x	PUNCT
esrj-85531	154	27	x	x	X
esrj-85531	154	28	xi	xi	ADP
esrj-85531	154	29	j	j	PROPN
esrj-85531	154	30	i	i	PRON
esrj-85531	154	31	j	j	PROPN
esrj-85531	154	32	,	,	PUNCT
esrj-85531	154	33	(	(	PUNCT
esrj-85531	154	34	)	)	PUNCT
esrj-85531	154	35	=	=	SYM
esrj-85531	154	36	(	(	PUNCT
esrj-85531	154	37	)	)	PUNCT
esrj-85531	154	38	(	(	PUNCT
esrj-85531	154	39	)	)	PUNCT
esrj-85531	154	40			PROPN
esrj-85531	154	41			PROPN
esrj-85531	154	42	is	be	AUX
esrj-85531	154	43	a	a	DET
esrj-85531	154	44	kernel	kernel	NOUN
esrj-85531	154	45	function	function	NOUN
esrj-85531	154	46	.	.	PUNCT
esrj-85531	155	1	the	the	DET
esrj-85531	155	2	commonly	commonly	ADV
esrj-85531	155	3	used	use	VERB
esrj-85531	155	4	kernel	kernel	NOUN
esrj-85531	155	5	functions	function	NOUN
esrj-85531	155	6	are	be	AUX
esrj-85531	155	7	polynomial	polynomial	ADJ
esrj-85531	155	8	kernel	kernel	NOUN
esrj-85531	155	9	function	function	NOUN
esrj-85531	155	10	,	,	PUNCT
esrj-85531	155	11	radial	radial	ADJ
esrj-85531	155	12	basis	basis	NOUN
esrj-85531	155	13	kernel	kernel	NOUN
esrj-85531	155	14	function	function	NOUN
esrj-85531	155	15	and	and	CCONJ
esrj-85531	155	16	sigmoid	sigmoid	NOUN
esrj-85531	155	17	kernel	kernel	PROPN
esrj-85531	155	18	function	function	PROPN
esrj-85531	155	19	.	.	PUNCT
esrj-85531	156	1	and	and	CCONJ
esrj-85531	156	2	the	the	DET
esrj-85531	156	3	radial	radial	ADJ
esrj-85531	156	4	basis	basis	NOUN
esrj-85531	156	5	kernel	kernel	NOUN
esrj-85531	156	6	function	function	NOUN
esrj-85531	156	7	was	be	AUX
esrj-85531	156	8	selected	select	VERB
esrj-85531	156	9	in	in	ADP
esrj-85531	156	10	this	this	DET
esrj-85531	156	11	research	research	NOUN
esrj-85531	156	12	.	.	PUNCT
esrj-85531	157	1	fourthly	fourthly	ADV
esrj-85531	157	2	,	,	PUNCT
esrj-85531	157	3	ai	ai	VERB
esrj-85531	157	4	and	and	CCONJ
esrj-85531	157	5	ai	ai	VERB
esrj-85531	157	6	*	*	PUNCT
esrj-85531	157	7	can	can	AUX
esrj-85531	157	8	be	be	AUX
esrj-85531	157	9	solved	solve	VERB
esrj-85531	157	10	from	from	ADP
esrj-85531	157	11	equation	equation	NOUN
esrj-85531	157	12	(	(	PUNCT
esrj-85531	157	13	15	15	NUM
esrj-85531	157	14	)	)	PUNCT
esrj-85531	157	15	,	,	PUNCT
esrj-85531	157	16	and	and	CCONJ
esrj-85531	157	17	then	then	ADV
esrj-85531	157	18	w	w	PROPN
esrj-85531	157	19	*	*	PROPN
esrj-85531	157	20	and	and	CCONJ
esrj-85531	157	21	b	b	X
esrj-85531	157	22	*	*	PUNCT
esrj-85531	157	23	can	can	AUX
esrj-85531	157	24	be	be	AUX
esrj-85531	157	25	obtained	obtain	VERB
esrj-85531	157	26	,	,	PUNCT
esrj-85531	157	27	the	the	DET
esrj-85531	157	28	regression	regression	NOUN
esrj-85531	157	29	function	function	NOUN
esrj-85531	157	30	is	be	AUX
esrj-85531	157	31	shown	show	VERB
esrj-85531	157	32	in	in	ADP
esrj-85531	157	33	equation	equation	NOUN
esrj-85531	157	34	(	(	PUNCT
esrj-85531	157	35	16	16	NUM
esrj-85531	157	36	)	)	PUNCT
esrj-85531	157	37	.	.	PUNCT
esrj-85531	158	1	f(x	f(x	PROPN
esrj-85531	158	2	)	)	PUNCT
esrj-85531	158	3	support	support	VERB
esrj-85531	158	4	vector	vector	NOUN
esrj-85531	158	5	optimal	optimal	ADJ
esrj-85531	158	6	classification	classification	NOUN
esrj-85531	158	7	line	line	NOUN
esrj-85531	158	8	*	*	PUNCT
esrj-85531	159	1	*	*	PUNCT
esrj-85531	160	1	*	*	PUNCT
esrj-85531	161	1	*	*	PUNCT
esrj-85531	162	1	*	*	PUNCT
esrj-85531	163	1	*	*	PUNCT
esrj-85531	164	1	*	*	PUNCT
esrj-85531	165	1	*	*	PUNCT
esrj-85531	165	2	*	*	PUNCT
esrj-85531	165	3	*	*	PUNCT
esrj-85531	165	4	*	*	PUNCT
esrj-85531	165	5	·	·	PUNCT
esrj-85531	165	6	·	·	PUNCT
esrj-85531	165	7	·	·	PUNCT
esrj-85531	165	8	·	·	PUNCT
esrj-85531	165	9	·	·	PUNCT
esrj-85531	165	10	·	·	PUNCT
esrj-85531	165	11	·	·	PUNCT
esrj-85531	165	12	·	·	PUNCT
esrj-85531	165	13	·	·	PUNCT
esrj-85531	165	14	figure	figure	NOUN
esrj-85531	165	15	1	1	NUM
esrj-85531	165	16	.	.	PUNCT
esrj-85531	166	1	the	the	DET
esrj-85531	166	2	basic	basic	ADJ
esrj-85531	166	3	idea	idea	NOUN
esrj-85531	166	4	of	of	ADP
esrj-85531	166	5	svr	svr	PROPN
esrj-85531	166	6	108	108	NUM
esrj-85531	166	7	taifu	taifu	VERB
esrj-85531	166	8	bi	bi	ADJ
esrj-85531	166	9	parameters	parameter	NOUN
esrj-85531	166	10	are	be	AUX
esrj-85531	166	11	used	use	VERB
esrj-85531	166	12	.	.	PUNCT
esrj-85531	167	1	such	such	DET
esrj-85531	167	2	a	a	DET
esrj-85531	167	3	process	process	NOUN
esrj-85531	167	4	is	be	AUX
esrj-85531	167	5	to	to	PART
esrj-85531	167	6	only	only	ADV
esrj-85531	167	7	use	use	VERB
esrj-85531	167	8	cpu	cpu	ADJ
esrj-85531	167	9	atomic	atomic	ADJ
esrj-85531	167	10	operation	operation	NOUN
esrj-85531	167	11	.	.	PUNCT
esrj-85531	168	1	ng	ng	PROPN
esrj-85531	168	2	feature	feature	NOUN
esrj-85531	168	3	graph	graph	NOUN
esrj-85531	168	4	calculates	calculate	VERB
esrj-85531	168	5	the	the	DET
esrj-85531	168	6	gradient	gradient	ADJ
esrj-85531	168	7	amplitude	amplitude	NOUN
esrj-85531	168	8	of	of	ADP
esrj-85531	168	9	each	each	DET
esrj-85531	168	10	pixel	pixel	NOUN
esrj-85531	168	11	by	by	ADP
esrj-85531	168	12	collecting	collect	VERB
esrj-85531	168	13	the	the	DET
esrj-85531	168	14	edge	edge	NOUN
esrj-85531	168	15	intensity	intensity	NOUN
esrj-85531	168	16	information	information	NOUN
esrj-85531	168	17	in	in	ADP
esrj-85531	168	18	the	the	DET
esrj-85531	168	19	original	original	ADJ
esrj-85531	168	20	graph	graph	NOUN
esrj-85531	168	21	.	.	PUNCT
esrj-85531	169	1	however	however	ADV
esrj-85531	169	2	,	,	PUNCT
esrj-85531	169	3	because	because	SCONJ
esrj-85531	169	4	the	the	DET
esrj-85531	169	5	logic	logic	NOUN
esrj-85531	169	6	of	of	ADP
esrj-85531	169	7	the	the	DET
esrj-85531	169	8	ng	ng	PROPN
esrj-85531	169	9	feature	feature	NOUN
esrj-85531	169	10	map	map	NOUN
esrj-85531	169	11	is	be	AUX
esrj-85531	169	12	relatively	relatively	ADV
esrj-85531	169	13	simple	simple	ADJ
esrj-85531	169	14	,	,	PUNCT
esrj-85531	169	15	the	the	DET
esrj-85531	169	16	influence	influence	NOUN
esrj-85531	169	17	of	of	ADP
esrj-85531	169	18	noise	noise	NOUN
esrj-85531	169	19	on	on	ADP
esrj-85531	169	20	it	it	PRON
esrj-85531	169	21	is	be	AUX
esrj-85531	169	22	particularly	particularly	ADV
esrj-85531	169	23	prominent	prominent	ADJ
esrj-85531	169	24	.	.	PUNCT
esrj-85531	170	1	based	base	VERB
esrj-85531	170	2	on	on	ADP
esrj-85531	170	3	the	the	DET
esrj-85531	170	4	shortcomings	shortcoming	NOUN
esrj-85531	170	5	of	of	ADP
esrj-85531	170	6	bing	bing	NOUN
esrj-85531	170	7	algorithm	algorithm	NOUN
esrj-85531	170	8	mentioned	mention	VERB
esrj-85531	170	9	above	above	ADV
esrj-85531	170	10	,	,	PUNCT
esrj-85531	170	11	sobel	sobel	NOUN
esrj-85531	170	12	feature	feature	NOUN
esrj-85531	170	13	graph	graph	NOUN
esrj-85531	170	14	with	with	ADP
esrj-85531	170	15	better	well	ADJ
esrj-85531	170	16	edge	edge	NOUN
esrj-85531	170	17	information	information	NOUN
esrj-85531	170	18	capture	capture	NOUN
esrj-85531	170	19	effect	effect	NOUN
esrj-85531	170	20	was	be	AUX
esrj-85531	170	21	adopted	adopt	VERB
esrj-85531	170	22	in	in	ADP
esrj-85531	170	23	this	this	DET
esrj-85531	170	24	research	research	NOUN
esrj-85531	170	25	to	to	PART
esrj-85531	170	26	replace	replace	VERB
esrj-85531	170	27	ng	ng	PROPN
esrj-85531	170	28	feature	feature	NOUN
esrj-85531	170	29	graph	graph	NOUN
esrj-85531	170	30	with	with	ADP
esrj-85531	170	31	weak	weak	ADJ
esrj-85531	170	32	edge	edge	NOUN
esrj-85531	170	33	information	information	NOUN
esrj-85531	170	34	.	.	PUNCT
esrj-85531	171	1	moreover	moreover	ADV
esrj-85531	171	2	,	,	PUNCT
esrj-85531	171	3	the	the	DET
esrj-85531	171	4	local	local	ADJ
esrj-85531	171	5	binary	binary	ADJ
esrj-85531	171	6	pattern	pattern	NOUN
esrj-85531	171	7	(	(	PUNCT
esrj-85531	171	8	lbp	lbp	NOUN
esrj-85531	171	9	)	)	PUNCT
esrj-85531	171	10	feature	feature	NOUN
esrj-85531	171	11	graph	graph	NOUN
esrj-85531	171	12	and	and	CCONJ
esrj-85531	171	13	difference	difference	NOUN
esrj-85531	171	14	of	of	ADP
esrj-85531	171	15	gaussian	gaussian	NOUN
esrj-85531	171	16	(	(	PUNCT
esrj-85531	171	17	dog	dog	NOUN
esrj-85531	171	18	)	)	PUNCT
esrj-85531	171	19	feature	feature	NOUN
esrj-85531	171	20	graph	graph	NOUN
esrj-85531	171	21	were	be	AUX
esrj-85531	171	22	introduced	introduce	VERB
esrj-85531	171	23	into	into	ADP
esrj-85531	171	24	the	the	DET
esrj-85531	171	25	sobel	sobel	PROPN
esrj-85531	171	26	diagram	diagram	PROPN
esrj-85531	171	27	.	.	PUNCT
esrj-85531	172	1	the	the	DET
esrj-85531	172	2	meaning	mean	VERB
esrj-85531	172	3	expressions	expression	NOUN
esrj-85531	172	4	of	of	ADP
esrj-85531	172	5	sobel	sobel	NOUN
esrj-85531	172	6	feature	feature	NOUN
esrj-85531	172	7	graphs	graph	NOUN
esrj-85531	172	8	are	be	AUX
esrj-85531	172	9	shown	show	VERB
esrj-85531	172	10	in	in	ADP
esrj-85531	172	11	equations	equation	NOUN
esrj-85531	172	12	(	(	PUNCT
esrj-85531	172	13	21)~(23	21)~(23	NOUN
esrj-85531	172	14	):	):	PUNCT
esrj-85531	172	15	g	g	NOUN
esrj-85531	172	16	ax	ax	NOUN
esrj-85531	172	17	=	=	PUNCT
esrj-85531	173	1	+	+	PUNCT
esrj-85531	173	2	+	+	CCONJ
esrj-85531	173	3	+	+	NUM
esrj-85531	173	4			NOUN
esrj-85531	173	5			NOUN
esrj-85531	173	6			ADJ
esrj-85531	173	7			ADJ
esrj-85531	173	8			ADJ
esrj-85531	173	9			PROPN
esrj-85531	173	10			PROPN
esrj-85531	173	11			PROPN
esrj-85531	173	12			PROPN
esrj-85531	173	13			PROPN
esrj-85531	173	14	⊗	⊗	PROPN
esrj-85531	173	15			PROPN
esrj-85531	173	16			PROPN
esrj-85531	173	17			PROPN
esrj-85531	173	18	1	1	NUM
esrj-85531	173	19	0	0	NUM
esrj-85531	173	20	1	1	NUM
esrj-85531	173	21	2	2	NUM
esrj-85531	173	22	0	0	NUM
esrj-85531	173	23	2	2	NUM
esrj-85531	173	24	1	1	NUM
esrj-85531	173	25	0	0	NUM
esrj-85531	173	26	1	1	NUM
esrj-85531	173	27	(	(	PUNCT
esrj-85531	173	28	21	21	NUM
esrj-85531	173	29	)	)	PUNCT
esrj-85531	173	30	g	g	NOUN
esrj-85531	173	31	ay	ay	NOUN
esrj-85531	173	32	=	=	PUNCT
esrj-85531	174	1	+	+	PROPN
esrj-85531	174	2	+	+	PUNCT
esrj-85531	174	3	+	+	CCONJ
esrj-85531	174	4	+	+	NUM
esrj-85531	174	5			NOUN
esrj-85531	174	6			NOUN
esrj-85531	174	7			ADJ
esrj-85531	174	8			ADJ
esrj-85531	174	9			ADJ
esrj-85531	174	10			PROPN
esrj-85531	174	11			PROPN
esrj-85531	174	12			PROPN
esrj-85531	174	13			PROPN
esrj-85531	174	14			PROPN
esrj-85531	174	15	⊗	⊗	PROPN
esrj-85531	174	16	1	1	NUM
esrj-85531	174	17	2	2	NUM
esrj-85531	174	18	1	1	NUM
esrj-85531	174	19	0	0	NUM
esrj-85531	174	20	0	0	NUM
esrj-85531	174	21	0	0	NUM
esrj-85531	174	22	1	1	NUM
esrj-85531	174	23	2	2	NUM
esrj-85531	174	24	1	1	NUM
esrj-85531	174	25			PROPN
esrj-85531	174	26			PROPN
esrj-85531	174	27			PROPN
esrj-85531	174	28	(	(	PUNCT
esrj-85531	174	29	22	22	NUM
esrj-85531	174	30	)	)	PUNCT
esrj-85531	174	31	g	g	PROPN
esrj-85531	174	32	g	g	PROPN
esrj-85531	174	33	gx	gx	PROPN
esrj-85531	174	34	y=	y=	NUM
esrj-85531	174	35	+2	+2	ADV
esrj-85531	174	36	2	2	NUM
esrj-85531	174	37	(	(	PUNCT
esrj-85531	174	38	23	23	NUM
esrj-85531	174	39	)	)	PUNCT
esrj-85531	174	40	among	among	ADP
esrj-85531	174	41	them	they	PRON
esrj-85531	174	42	,	,	PUNCT
esrj-85531	174	43	a	a	PRON
esrj-85531	174	44	represents	represent	VERB
esrj-85531	174	45	the	the	DET
esrj-85531	174	46	original	original	ADJ
esrj-85531	174	47	graph	graph	NOUN
esrj-85531	174	48	matrix	matrix	NOUN
esrj-85531	174	49	;	;	PUNCT
esrj-85531	174	50	gx	gx	PROPN
esrj-85531	174	51	is	be	AUX
esrj-85531	174	52	the	the	DET
esrj-85531	174	53	gradient	gradient	NOUN
esrj-85531	174	54	of	of	ADP
esrj-85531	174	55	the	the	DET
esrj-85531	174	56	horizontal	horizontal	ADJ
esrj-85531	174	57	direction	direction	NOUN
esrj-85531	174	58	of	of	ADP
esrj-85531	174	59	the	the	DET
esrj-85531	174	60	image	image	NOUN
esrj-85531	174	61	;	;	PUNCT
esrj-85531	174	62	gy	gy	X
esrj-85531	174	63	is	be	AUX
esrj-85531	174	64	the	the	DET
esrj-85531	174	65	gradient	gradient	NOUN
esrj-85531	174	66	for	for	ADP
esrj-85531	174	67	the	the	DET
esrj-85531	174	68	vertical	vertical	ADJ
esrj-85531	174	69	direction	direction	NOUN
esrj-85531	174	70	of	of	ADP
esrj-85531	174	71	the	the	DET
esrj-85531	174	72	image	image	NOUN
esrj-85531	174	73	;	;	PUNCT
esrj-85531	174	74	and	and	CCONJ
esrj-85531	174	75	g	g	NOUN
esrj-85531	174	76	is	be	AUX
esrj-85531	174	77	the	the	DET
esrj-85531	174	78	gradient	gradient	ADJ
esrj-85531	174	79	magnitude	magnitude	NOUN
esrj-85531	174	80	of	of	ADP
esrj-85531	174	81	the	the	DET
esrj-85531	174	82	feature	feature	NOUN
esrj-85531	174	83	graph	graph	NOUN
esrj-85531	174	84	matrix	matrix	NOUN
esrj-85531	174	85	.	.	PUNCT
esrj-85531	175	1	as	as	SCONJ
esrj-85531	175	2	can	can	AUX
esrj-85531	175	3	be	be	AUX
esrj-85531	175	4	concluded	conclude	VERB
esrj-85531	175	5	from	from	ADP
esrj-85531	175	6	equation	equation	NOUN
esrj-85531	175	7	(	(	PUNCT
esrj-85531	175	8	21	21	NUM
esrj-85531	175	9	)	)	PUNCT
esrj-85531	175	10	,	,	PUNCT
esrj-85531	175	11	sobel	sobel	NOUN
esrj-85531	175	12	feature	feature	PROPN
esrj-85531	175	13	diagram	diagram	PROPN
esrj-85531	175	14	adopts	adopt	VERB
esrj-85531	175	15	the	the	DET
esrj-85531	175	16	grayscale	grayscale	NOUN
esrj-85531	175	17	diagram	diagram	NOUN
esrj-85531	175	18	of	of	ADP
esrj-85531	175	19	the	the	DET
esrj-85531	175	20	original	original	ADJ
esrj-85531	175	21	image	image	NOUN
esrj-85531	175	22	of	of	ADP
esrj-85531	175	23	3	3	NUM
esrj-85531	175	24	*	*	SYM
esrj-85531	175	25	3	3	NUM
esrj-85531	175	26	sobel	sobel	NOUN
esrj-85531	175	27	operator	operator	NOUN
esrj-85531	175	28	convolution	convolution	NOUN
esrj-85531	175	29	.	.	PUNCT
esrj-85531	176	1	the	the	DET
esrj-85531	176	2	approximate	approximate	ADJ
esrj-85531	176	3	gradients	gradient	NOUN
esrj-85531	176	4	of	of	ADP
esrj-85531	176	5	the	the	DET
esrj-85531	176	6	horizontal	horizontal	ADJ
esrj-85531	176	7	and	and	CCONJ
esrj-85531	176	8	vertical	vertical	ADJ
esrj-85531	176	9	directions	direction	NOUN
esrj-85531	176	10	are	be	AUX
esrj-85531	176	11	calculated	calculate	VERB
esrj-85531	176	12	respectively	respectively	ADV
esrj-85531	176	13	,	,	PUNCT
esrj-85531	176	14	and	and	CCONJ
esrj-85531	176	15	then	then	ADV
esrj-85531	176	16	the	the	DET
esrj-85531	176	17	sum	sum	NOUN
esrj-85531	176	18	of	of	ADP
esrj-85531	176	19	the	the	DET
esrj-85531	176	20	squares	square	NOUN
esrj-85531	176	21	of	of	ADP
esrj-85531	176	22	the	the	DET
esrj-85531	176	23	approximate	approximate	ADJ
esrj-85531	176	24	gradients	gradient	NOUN
esrj-85531	176	25	of	of	ADP
esrj-85531	176	26	the	the	DET
esrj-85531	176	27	horizontal	horizontal	ADJ
esrj-85531	176	28	and	and	CCONJ
esrj-85531	176	29	vertical	vertical	ADJ
esrj-85531	176	30	directions	direction	NOUN
esrj-85531	176	31	is	be	AUX
esrj-85531	176	32	carried	carry	VERB
esrj-85531	176	33	out	out	ADP
esrj-85531	176	34	to	to	PART
esrj-85531	176	35	obtain	obtain	VERB
esrj-85531	176	36	the	the	DET
esrj-85531	176	37	corresponding	corresponding	ADJ
esrj-85531	176	38	gradient	gradient	ADJ
esrj-85531	176	39	amplitude	amplitude	NOUN
esrj-85531	176	40	of	of	ADP
esrj-85531	176	41	each	each	DET
esrj-85531	176	42	pixel	pixel	PROPN
esrj-85531	176	43	.	.	PUNCT
esrj-85531	177	1	lbp	lbp	PROPN
esrj-85531	177	2	feature	feature	NOUN
esrj-85531	177	3	map	map	NOUN
esrj-85531	177	4	is	be	AUX
esrj-85531	177	5	a	a	DET
esrj-85531	177	6	texture	texture	ADJ
esrj-85531	177	7	feature	feature	NOUN
esrj-85531	177	8	proposed	propose	VERB
esrj-85531	177	9	by	by	ADP
esrj-85531	177	10	yavad	yavad	PRON
esrj-85531	177	11	and	and	CCONJ
esrj-85531	177	12	congalton	congalton	PROPN
esrj-85531	177	13	(	(	PUNCT
esrj-85531	177	14	2017	2017	NUM
esrj-85531	177	15	)	)	PUNCT
esrj-85531	177	16	to	to	PART
esrj-85531	177	17	describe	describe	VERB
esrj-85531	177	18	images	image	NOUN
esrj-85531	177	19	.	.	PUNCT
esrj-85531	178	1	with	with	ADP
esrj-85531	178	2	the	the	DET
esrj-85531	178	3	development	development	NOUN
esrj-85531	178	4	of	of	ADP
esrj-85531	178	5	technology	technology	NOUN
esrj-85531	178	6	,	,	PUNCT
esrj-85531	178	7	it	it	PRON
esrj-85531	178	8	is	be	AUX
esrj-85531	178	9	widely	widely	ADV
esrj-85531	178	10	used	use	VERB
esrj-85531	178	11	in	in	ADP
esrj-85531	178	12	human	human	ADJ
esrj-85531	178	13	classification	classification	NOUN
esrj-85531	178	14	and	and	CCONJ
esrj-85531	178	15	pedestrian	pedestrian	NOUN
esrj-85531	178	16	detection	detection	NOUN
esrj-85531	178	17	.	.	PUNCT
esrj-85531	179	1	the	the	DET
esrj-85531	179	2	calculation	calculation	NOUN
esrj-85531	179	3	process	process	NOUN
esrj-85531	179	4	of	of	ADP
esrj-85531	179	5	lbp	lbp	PROPN
esrj-85531	179	6	code	code	PROPN
esrj-85531	179	7	is	be	AUX
esrj-85531	179	8	shown	show	VERB
esrj-85531	179	9	in	in	ADP
esrj-85531	179	10	figure	figure	NOUN
esrj-85531	179	11	3	3	NUM
esrj-85531	179	12	.	.	PUNCT
esrj-85531	179	13	dog	dog	NOUN
esrj-85531	179	14	feature	feature	NOUN
esrj-85531	179	15	map	map	NOUN
esrj-85531	179	16	is	be	AUX
esrj-85531	179	17	obtained	obtain	VERB
esrj-85531	179	18	by	by	ADP
esrj-85531	179	19	subtracting	subtract	VERB
esrj-85531	179	20	two	two	NUM
esrj-85531	179	21	fuzzy	fuzzy	ADJ
esrj-85531	179	22	images	image	NOUN
esrj-85531	179	23	of	of	ADP
esrj-85531	179	24	different	different	ADJ
esrj-85531	179	25	degrees	degree	NOUN
esrj-85531	179	26	from	from	ADP
esrj-85531	179	27	the	the	DET
esrj-85531	179	28	original	original	ADJ
esrj-85531	179	29	image	image	NOUN
esrj-85531	179	30	.	.	PUNCT
esrj-85531	180	1	the	the	DET
esrj-85531	180	2	two	two	NUM
esrj-85531	180	3	-	-	PUNCT
esrj-85531	180	4	dimensional	dimensional	ADJ
esrj-85531	180	5	gaussian	gaussian	ADJ
esrj-85531	180	6	kernel	kernel	NOUN
esrj-85531	180	7	function	function	NOUN
esrj-85531	180	8	is	be	AUX
esrj-85531	180	9	defined	define	VERB
esrj-85531	180	10	as	as	SCONJ
esrj-85531	180	11	follows	follow	VERB
esrj-85531	180	12	:	:	PUNCT
esrj-85531	180	13	g	g	NOUN
esrj-85531	180	14	x	x	PUNCT
esrj-85531	180	15	y	y	NOUN
esrj-85531	180	16	x	x	PUNCT
esrj-85531	180	17	y	y	PROPN
esrj-85531	180	18	σ	σ	PROPN
esrj-85531	180	19	πσ	πσ	INTJ
esrj-85531	180	20	−	−	PROPN
esrj-85531	180	21	σ1	σ1	NOUN
esrj-85531	180	22	1	1	NUM
esrj-85531	180	23	2	2	NUM
esrj-85531	180	24	21	21	NUM
esrj-85531	180	25	2	2	NUM
esrj-85531	180	26	2	2	NUM
esrj-85531	180	27	2	2	NUM
esrj-85531	180	28	1	1	NUM
esrj-85531	180	29	2	2	NUM
esrj-85531	180	30	,	,	PUNCT
esrj-85531	180	31	exp	exp	NOUN
esrj-85531	180	32	(	(	PUNCT
esrj-85531	180	33	)	)	PUNCT
esrj-85531	180	34	=	=	PUNCT
esrj-85531	181	1	+	+	ADJ
esrj-85531	181	2			PROPN
esrj-85531	181	3			NOUN
esrj-85531	181	4			NOUN
esrj-85531	181	5			PROPN
esrj-85531	181	6			PUNCT
esrj-85531	182	1			NOUN
esrj-85531	182	2	(	(	PUNCT
esrj-85531	182	3	24	24	NUM
esrj-85531	182	4	)	)	PUNCT
esrj-85531	182	5	g	g	NOUN
esrj-85531	182	6	x	x	SYM
esrj-85531	182	7	y	y	PROPN
esrj-85531	182	8	g	g	NOUN
esrj-85531	182	9	x	x	VERB
esrj-85531	182	10	y	y	NOUN
esrj-85531	182	11	f	f	PROPN
esrj-85531	182	12	x	x	PROPN
esrj-85531	182	13	y1	y1	PROPN
esrj-85531	182	14	1	1	NUM
esrj-85531	182	15	,	,	PUNCT
esrj-85531	182	16	,	,	PUNCT
esrj-85531	182	17	,	,	PUNCT
esrj-85531	182	18	(	(	PUNCT
esrj-85531	182	19	)	)	PUNCT
esrj-85531	182	20	=	=	SYM
esrj-85531	182	21	(	(	PUNCT
esrj-85531	182	22	)	)	PUNCT
esrj-85531	182	23	∗	∗	NOUN
esrj-85531	182	24	(	(	PUNCT
esrj-85531	182	25	)	)	PUNCT
esrj-85531	182	26			X
esrj-85531	182	27	(	(	PUNCT
esrj-85531	182	28	25	25	NUM
esrj-85531	182	29	)	)	PUNCT
esrj-85531	182	30	g	g	NOUN
esrj-85531	182	31	x	x	SYM
esrj-85531	182	32	y	y	PROPN
esrj-85531	182	33	g	g	NOUN
esrj-85531	182	34	x	x	VERB
esrj-85531	182	35	y	y	NOUN
esrj-85531	182	36	f	f	NOUN
esrj-85531	182	37	x	x	SYM
esrj-85531	182	38	y2	y2	NOUN
esrj-85531	182	39	2	2	NUM
esrj-85531	182	40	,	,	PUNCT
esrj-85531	182	41	,	,	PUNCT
esrj-85531	182	42	,	,	PUNCT
esrj-85531	182	43	(	(	PUNCT
esrj-85531	182	44	)	)	PUNCT
esrj-85531	182	45	=	=	SYM
esrj-85531	182	46	(	(	PUNCT
esrj-85531	182	47	)	)	PUNCT
esrj-85531	182	48	∗	∗	NOUN
esrj-85531	182	49	(	(	PUNCT
esrj-85531	182	50	)	)	PUNCT
esrj-85531	182	51			PROPN
esrj-85531	182	52	(	(	PUNCT
esrj-85531	182	53	26	26	NUM
esrj-85531	182	54	)	)	PUNCT
esrj-85531	182	55	the	the	DET
esrj-85531	182	56	dog	dog	NOUN
esrj-85531	182	57	feature	feature	NOUN
esrj-85531	182	58	map	map	NOUN
esrj-85531	182	59	can	can	AUX
esrj-85531	182	60	be	be	AUX
esrj-85531	182	61	obtained	obtain	VERB
esrj-85531	182	62	by	by	ADP
esrj-85531	182	63	subtracting	subtract	VERB
esrj-85531	182	64	the	the	DET
esrj-85531	182	65	two	two	NUM
esrj-85531	182	66	images	image	NOUN
esrj-85531	182	67	,	,	PUNCT
esrj-85531	182	68	as	as	SCONJ
esrj-85531	182	69	shown	show	VERB
esrj-85531	182	70	in	in	ADP
esrj-85531	182	71	equation	equation	NOUN
esrj-85531	182	72	(	(	PUNCT
esrj-85531	182	73	27	27	NUM
esrj-85531	182	74	)	)	PUNCT
esrj-85531	182	75	.	.	PUNCT
esrj-85531	183	1	g	g	NOUN
esrj-85531	183	2	x	x	PUNCT
esrj-85531	183	3	y	y	PROPN
esrj-85531	183	4	g	g	NOUN
esrj-85531	183	5	x	x	PROPN
esrj-85531	183	6	y	y	PROPN
esrj-85531	183	7	g	g	NOUN
esrj-85531	183	8	x	x	PROPN
esrj-85531	183	9	y	y	NOUN
esrj-85531	183	10	f	f	NOUN
esrj-85531	183	11	x	x	VERB
esrj-85531	183	12	y	y	PROPN
esrj-85531	183	13	g	g	NOUN
esrj-85531	183	14	x	x	VERB
esrj-85531	183	15	y	y	NOUN
esrj-85531	183	16	f	f	PROPN
esrj-85531	183	17	x	x	PROPN
esrj-85531	183	18	y1	y1	NOUN
esrj-85531	183	19	2	2	NUM
esrj-85531	183	20	1	1	NUM
esrj-85531	183	21	2	2	NUM
esrj-85531	183	22	,	,	PUNCT
esrj-85531	183	23	,	,	PUNCT
esrj-85531	183	24	,	,	PUNCT
esrj-85531	183	25	,	,	PUNCT
esrj-85531	183	26	,	,	PUNCT
esrj-85531	183	27	,	,	PUNCT
esrj-85531	183	28	(	(	PUNCT
esrj-85531	183	29	)	)	PUNCT
esrj-85531	183	30	(	(	PUNCT
esrj-85531	183	31	)	)	PUNCT
esrj-85531	183	32	=	=	SYM
esrj-85531	183	33	(	(	PUNCT
esrj-85531	183	34	)	)	PUNCT
esrj-85531	183	35	∗	∗	NOUN
esrj-85531	183	36	(	(	PUNCT
esrj-85531	183	37	)	)	PUNCT
esrj-85531	183	38	(	(	PUNCT
esrj-85531	183	39	)	)	PUNCT
esrj-85531	183	40	∗	∗	NOUN
esrj-85531	183	41	(	(	PUNCT
esrj-85531	183	42	)	)	PUNCT
esrj-85531	183	43	−	−	PROPN
esrj-85531	183	44	−σ	−σ	NOUN
esrj-85531	184	1	σ	σ	X
esrj-85531	184	2	=	=	SYM
esrj-85531	184	3	(	(	PUNCT
esrj-85531	184	4	)	)	PUNCT
esrj-85531	184	5	∗	∗	NOUN
esrj-85531	184	6	(	(	PUNCT
esrj-85531	184	7	)	)	PUNCT
esrj-85531	184	8	g	g	PROPN
esrj-85531	184	9	g	g	PROPN
esrj-85531	184	10	f	f	PROPN
esrj-85531	184	11	x	x	INTJ
esrj-85531	184	12	yσ	yσ	PRON
esrj-85531	184	13	σ−	σ−	NOUN
esrj-85531	184	14	1	1	NUM
esrj-85531	184	15	2	2	NUM
esrj-85531	184	16	,	,	PUNCT
esrj-85531	184	17	=	=	PRON
esrj-85531	184	18	∗	∗	NOUN
esrj-85531	184	19	(	(	PUNCT
esrj-85531	184	20	)	)	PUNCT
esrj-85531	184	21	dog	dog	NOUN
esrj-85531	184	22	f	f	PROPN
esrj-85531	184	23	x	x	SYM
esrj-85531	184	24	y	y	PROPN
esrj-85531	184	25	,	,	PUNCT
esrj-85531	184	26	(	(	PUNCT
esrj-85531	184	27	27	27	NUM
esrj-85531	184	28	)	)	PUNCT
esrj-85531	184	29	that	that	PRON
esrj-85531	184	30	is	be	AUX
esrj-85531	184	31	,	,	PUNCT
esrj-85531	184	32	dog	dog	NOUN
esrj-85531	184	33	can	can	AUX
esrj-85531	184	34	be	be	AUX
esrj-85531	184	35	expressed	express	VERB
esrj-85531	184	36	by	by	ADP
esrj-85531	184	37	equation	equation	NOUN
esrj-85531	184	38	(	(	PUNCT
esrj-85531	184	39	28	28	NUM
esrj-85531	184	40	):	):	PUNCT
esrj-85531	184	41	dog	dog	NOUN
esrj-85531	184	42	g	g	PROPN
esrj-85531	184	43	g	g	PROPN
esrj-85531	184	44	e	e	X
esrj-85531	184	45	e	e	X
esrj-85531	184	46	x	x	X
esrj-85531	184	47	y	y	NOUN
esrj-85531	184	48	x	x	PUNCT
esrj-85531	184	49	y	y	PROPN
esrj-85531	185	1	≈	≈	PROPN
esrj-85531	185	2	−	−	PROPN
esrj-85531	186	1	π	π	PROPN
esrj-85531	186	2	σ	σ	X
esrj-85531	186	3	−	−	PROPN
esrj-85531	186	4	σσ	σσ	ADP
esrj-85531	186	5	σ	σ	PROPN
esrj-85531	186	6	−	−	PROPN
esrj-85531	186	7	σ	σ	NOUN
esrj-85531	186	8	−	−	PROPN
esrj-85531	186	9	σ	σ	NOUN
esrj-85531	186	10	1	1	NUM
esrj-85531	186	11	2	2	NUM
esrj-85531	186	12	2	2	NUM
esrj-85531	186	13	2	2	NUM
esrj-85531	186	14	1	1	NUM
esrj-85531	186	15	2	2	NUM
esrj-85531	186	16	2	2	NUM
esrj-85531	186	17	2	2	NUM
esrj-85531	186	18	2	2	NUM
esrj-85531	186	19	21	21	NUM
esrj-85531	186	20	2	2	NUM
esrj-85531	186	21	1	1	NUM
esrj-85531	186	22	1	1	NUM
esrj-85531	186	23	1	1	NUM
esrj-85531	186	24	2	2	NUM
esrj-85531	186	25	2	2	NUM
esrj-85531	186	26	2	2	NUM
esrj-85531	186	27	=	=	SYM
esrj-85531	186	28			NOUN
esrj-85531	186	29			NOUN
esrj-85531	186	30			NOUN
esrj-85531	186	31			PROPN
esrj-85531	186	32			PUNCT
esrj-85531	187	1			NOUN
esrj-85531	187	2	+	+	ADJ
esrj-85531	187	3	(	(	PUNCT
esrj-85531	187	4	)	)	PUNCT
esrj-85531	187	5	+	+	ADJ
esrj-85531	187	6	(	(	PUNCT
esrj-85531	187	7	)	)	PUNCT
esrj-85531	187	8	/	/	SYM
esrj-85531	187	9	/	/	SYM
esrj-85531	187	10	(	(	PUNCT
esrj-85531	187	11	28	28	NUM
esrj-85531	187	12	)	)	PUNCT
esrj-85531	187	13	among	among	ADP
esrj-85531	187	14	them	they	PRON
esrj-85531	187	15	,	,	PUNCT
esrj-85531	187	16			PROPN
esrj-85531	187	17	1	1	NUM
esrj-85531	187	18	and	and	CCONJ
esrj-85531	187	19	2	2	NOUN
esrj-85531	187	20	represent	represent	VERB
esrj-85531	187	21	gaussian	gaussian	ADJ
esrj-85531	187	22	kernel	kernel	PROPN
esrj-85531	187	23	parameters	parameter	NOUN
esrj-85531	187	24	.	.	PUNCT
esrj-85531	188	1	when	when	SCONJ
esrj-85531	188	2	dog	dog	NOUN
esrj-85531	188	3	images	image	NOUN
esrj-85531	188	4	are	be	AUX
esrj-85531	188	5	applied	apply	VERB
esrj-85531	188	6	in	in	ADP
esrj-85531	188	7	different	different	ADJ
esrj-85531	188	8	scenarios	scenario	NOUN
esrj-85531	188	9	,	,	PUNCT
esrj-85531	188	10	the	the	DET
esrj-85531	188	11	proportions	proportion	NOUN
esrj-85531	188	12	of	of	ADP
esrj-85531	188	13	two	two	NUM
esrj-85531	188	14	gaussian	gaussian	ADJ
esrj-85531	188	15	kernel	kernel	NOUN
esrj-85531	188	16	parameters	parameter	NOUN
esrj-85531	188	17	are	be	AUX
esrj-85531	188	18	also	also	ADV
esrj-85531	188	19	different	different	ADJ
esrj-85531	188	20	.	.	PUNCT
esrj-85531	189	1	for	for	ADP
esrj-85531	189	2	example	example	NOUN
esrj-85531	189	3	,	,	PUNCT
esrj-85531	189	4	when	when	SCONJ
esrj-85531	189	5	dog	dog	NOUN
esrj-85531	189	6	is	be	AUX
esrj-85531	189	7	used	use	VERB
esrj-85531	189	8	for	for	ADP
esrj-85531	189	9	image	image	NOUN
esrj-85531	189	10	enhancement	enhancement	NOUN
esrj-85531	189	11	,	,	PUNCT
esrj-85531	189	12			PROPN
esrj-85531	189	13	1	1	ADJ
esrj-85531	189	14	2	2	NUM
esrj-85531	189	15	1	1	NUM
esrj-85531	189	16	4	4	NUM
esrj-85531	189	17	:	:	PUNCT
esrj-85531	189	18	:	:	PUNCT
esrj-85531	189	19	=	=	X
esrj-85531	189	20	.	.	PUNCT
esrj-85531	190	1	in	in	ADP
esrj-85531	190	2	this	this	DET
esrj-85531	190	3	study	study	NOUN
esrj-85531	190	4	,	,	PUNCT
esrj-85531	190	5	the	the	DET
esrj-85531	190	6	purpose	purpose	NOUN
esrj-85531	190	7	of	of	ADP
esrj-85531	190	8	dog	dog	NOUN
esrj-85531	190	9	was	be	AUX
esrj-85531	190	10	image	image	NOUN
esrj-85531	190	11	enhancement	enhancement	NOUN
esrj-85531	190	12	,	,	PUNCT
esrj-85531	190	13	so	so	ADV
esrj-85531	190	14	1	1	ADJ
esrj-85531	190	15	0	0	NUM
esrj-85531	191	1	5=	5=	NUM
esrj-85531	191	2	.	.	PUNCT
esrj-85531	192	1	,	,	PUNCT
esrj-85531	192	2	and	and	CCONJ
esrj-85531	192	3	2	2	NOUN
esrj-85531	192	4	2	2	NUM
esrj-85531	192	5	0=	0=	NUM
esrj-85531	192	6	.	.	PUNCT
esrj-85531	192	7	were	be	AUX
esrj-85531	192	8	adopted	adopt	VERB
esrj-85531	192	9	.	.	PUNCT
esrj-85531	193	1	results	result	NOUN
esrj-85531	193	2	and	and	CCONJ
esrj-85531	193	3	discussion	discussion	NOUN
esrj-85531	193	4	analysis	analysis	NOUN
esrj-85531	193	5	of	of	ADP
esrj-85531	193	6	the	the	DET
esrj-85531	193	7	results	result	NOUN
esrj-85531	193	8	of	of	ADP
esrj-85531	193	9	the	the	DET
esrj-85531	193	10	selective	selective	ADJ
esrj-85531	193	11	search	search	NOUN
esrj-85531	193	12	algorithm	algorithm	NOUN
esrj-85531	193	13	in	in	ADP
esrj-85531	193	14	this	this	DET
esrj-85531	193	15	research	research	NOUN
esrj-85531	193	16	,	,	PUNCT
esrj-85531	193	17	the	the	DET
esrj-85531	193	18	applicability	applicability	NOUN
esrj-85531	193	19	of	of	ADP
esrj-85531	193	20	selective	selective	ADJ
esrj-85531	193	21	search	search	NOUN
esrj-85531	193	22	algorithm	algorithm	NOUN
esrj-85531	193	23	in	in	ADP
esrj-85531	193	24	remote	remote	ADJ
esrj-85531	193	25	sensing	sense	VERB
esrj-85531	193	26	image	image	NOUN
esrj-85531	193	27	to	to	PART
esrj-85531	193	28	target	target	VERB
esrj-85531	193	29	extraction	extraction	NOUN
esrj-85531	193	30	of	of	ADP
esrj-85531	193	31	monitoring	monitoring	NOUN
esrj-85531	193	32	sampling	sample	VERB
esrj-85531	193	33	points	point	NOUN
esrj-85531	193	34	and	and	CCONJ
esrj-85531	193	35	the	the	DET
esrj-85531	193	36	superiority	superiority	NOUN
esrj-85531	193	37	of	of	ADP
esrj-85531	193	38	improved	improved	ADJ
esrj-85531	193	39	bing	bing	NOUN
esrj-85531	193	40	algorithm	algorithm	NOUN
esrj-85531	193	41	were	be	AUX
esrj-85531	193	42	mainly	mainly	ADV
esrj-85531	193	43	verified	verify	VERB
esrj-85531	193	44	.	.	PUNCT
esrj-85531	194	1	the	the	DET
esrj-85531	194	2	data	data	NOUN
esrj-85531	194	3	sample	sample	NOUN
esrj-85531	194	4	set	set	NOUN
esrj-85531	194	5	was	be	AUX
esrj-85531	194	6	divided	divide	VERB
esrj-85531	194	7	into	into	ADP
esrj-85531	194	8	training	training	NOUN
esrj-85531	194	9	set	set	NOUN
esrj-85531	194	10	and	and	CCONJ
esrj-85531	194	11	test	test	NOUN
esrj-85531	194	12	set	set	VERB
esrj-85531	194	13	,	,	PUNCT
esrj-85531	194	14	and	and	CCONJ
esrj-85531	194	15	the	the	DET
esrj-85531	194	16	ratio	ratio	NOUN
esrj-85531	194	17	of	of	ADP
esrj-85531	194	18	training	training	NOUN
esrj-85531	194	19	set	set	VERB
esrj-85531	194	20	to	to	PART
esrj-85531	194	21	test	test	NOUN
esrj-85531	194	22	set	set	VERB
esrj-85531	194	23	was	be	AUX
esrj-85531	194	24	2:8	2:8	NUM
esrj-85531	194	25	,	,	PUNCT
esrj-85531	194	26	this	this	DET
esrj-85531	194	27	experiment	experiment	NOUN
esrj-85531	194	28	was	be	AUX
esrj-85531	194	29	tested	test	VERB
esrj-85531	194	30	in	in	ADP
esrj-85531	194	31	fast	fast	ADJ
esrj-85531	194	32	mode	mode	NOUN
esrj-85531	194	33	,	,	PUNCT
esrj-85531	194	34	and	and	CCONJ
esrj-85531	194	35	only	only	ADV
esrj-85531	194	36	two	two	NUM
esrj-85531	194	37	different	different	ADJ
esrj-85531	194	38	color	color	NOUN
esrj-85531	194	39	spaces	space	NOUN
esrj-85531	194	40	and	and	CCONJ
esrj-85531	194	41	two	two	NUM
esrj-85531	194	42	similarity	similarity	NOUN
esrj-85531	194	43	functions	function	NOUN
esrj-85531	194	44	were	be	AUX
esrj-85531	194	45	used	use	VERB
esrj-85531	194	46	.	.	PUNCT
esrj-85531	195	1	in	in	ADP
esrj-85531	195	2	remote	remote	ADJ
esrj-85531	195	3	sensing	sensing	NOUN
esrj-85531	195	4	images	image	NOUN
esrj-85531	195	5	,	,	PUNCT
esrj-85531	195	6	the	the	DET
esrj-85531	195	7	size	size	NOUN
esrj-85531	195	8	of	of	ADP
esrj-85531	195	9	target	target	NOUN
esrj-85531	195	10	collection	collection	NOUN
esrj-85531	195	11	points	point	NOUN
esrj-85531	195	12	was	be	AUX
esrj-85531	195	13	determined	determine	VERB
esrj-85531	195	14	by	by	ADP
esrj-85531	195	15	the	the	DET
esrj-85531	195	16	spatial	spatial	ADJ
esrj-85531	195	17	resolution	resolution	NOUN
esrj-85531	195	18	of	of	ADP
esrj-85531	195	19	images	image	NOUN
esrj-85531	195	20	.	.	PUNCT
esrj-85531	196	1	therefore	therefore	ADV
esrj-85531	196	2	,	,	PUNCT
esrj-85531	196	3	in	in	ADP
esrj-85531	196	4	this	this	DET
esrj-85531	196	5	research	research	NOUN
esrj-85531	196	6	,	,	PUNCT
esrj-85531	196	7	unreasonable	unreasonable	ADJ
esrj-85531	196	8	candidate	candidate	NOUN
esrj-85531	196	9	windows	window	NOUN
esrj-85531	196	10	were	be	AUX
esrj-85531	196	11	filtered	filter	VERB
esrj-85531	196	12	when	when	SCONJ
esrj-85531	196	13	selective	selective	ADJ
esrj-85531	196	14	search	search	NOUN
esrj-85531	196	15	algorithm	algorithm	NOUN
esrj-85531	196	16	results	result	NOUN
esrj-85531	196	17	were	be	AUX
esrj-85531	196	18	obtained	obtain	VERB
esrj-85531	196	19	,	,	PUNCT
esrj-85531	196	20	as	as	SCONJ
esrj-85531	196	21	shown	show	VERB
esrj-85531	196	22	in	in	ADP
esrj-85531	196	23	figure	figure	NOUN
esrj-85531	196	24	4	4	NUM
esrj-85531	196	25	.	.	PUNCT
esrj-85531	196	26	according	accord	VERB
esrj-85531	196	27	to	to	PART
esrj-85531	196	28	figure	figure	NOUN
esrj-85531	196	29	4	4	NUM
esrj-85531	196	30	,	,	PUNCT
esrj-85531	196	31	with	with	ADP
esrj-85531	196	32	the	the	DET
esrj-85531	196	33	increase	increase	NOUN
esrj-85531	196	34	of	of	ADP
esrj-85531	196	35	pixel	pixel	ADJ
esrj-85531	196	36	size	size	NOUN
esrj-85531	196	37	of	of	ADP
esrj-85531	196	38	remote	remote	ADJ
esrj-85531	196	39	sensing	sense	VERB
esrj-85531	196	40	image	image	NOUN
esrj-85531	196	41	,	,	PUNCT
esrj-85531	196	42	the	the	DET
esrj-85531	196	43	number	number	NOUN
esrj-85531	196	44	of	of	ADP
esrj-85531	196	45	candidate	candidate	NOUN
esrj-85531	196	46	windows	window	NOUN
esrj-85531	196	47	generated	generate	VERB
esrj-85531	196	48	by	by	ADP
esrj-85531	196	49	selective	selective	ADJ
esrj-85531	196	50	search	search	NOUN
esrj-85531	196	51	algorithm	algorithm	NOUN
esrj-85531	196	52	was	be	AUX
esrj-85531	196	53	also	also	ADV
esrj-85531	196	54	increasing	increase	VERB
esrj-85531	196	55	.	.	PUNCT
esrj-85531	197	1	in	in	ADP
esrj-85531	197	2	addition	addition	NOUN
esrj-85531	197	3	,	,	PUNCT
esrj-85531	197	4	when	when	SCONJ
esrj-85531	197	5	there	there	PRON
esrj-85531	197	6	was	be	VERB
esrj-85531	197	7	no	no	DET
esrj-85531	197	8	constraint	constraint	NOUN
esrj-85531	197	9	,	,	PUNCT
esrj-85531	197	10	the	the	DET
esrj-85531	197	11	average	average	ADJ
esrj-85531	197	12	number	number	NOUN
esrj-85531	197	13	of	of	ADP
esrj-85531	197	14	candidate	candidate	NOUN
esrj-85531	197	15	windows	window	NOUN
esrj-85531	197	16	generated	generate	VERB
esrj-85531	197	17	by	by	ADP
esrj-85531	197	18	selective	selective	ADJ
esrj-85531	197	19	search	search	NOUN
esrj-85531	197	20	algorithm	algorithm	NOUN
esrj-85531	197	21	under	under	ADP
esrj-85531	197	22	different	different	ADJ
esrj-85531	197	23	pixel	pixel	NOUN
esrj-85531	197	24	sizes	size	NOUN
esrj-85531	197	25	was	be	AUX
esrj-85531	197	26	greater	great	ADJ
esrj-85531	197	27	than	than	ADP
esrj-85531	197	28	the	the	DET
esrj-85531	197	29	average	average	ADJ
esrj-85531	197	30	number	number	NOUN
esrj-85531	197	31	of	of	ADP
esrj-85531	197	32	candi	candi	NOUN
esrj-85531	197	33	date	date	NOUN
esrj-85531	197	34	windows	window	NOUN
esrj-85531	197	35	generated	generate	VERB
esrj-85531	197	36	by	by	ADP
esrj-85531	197	37	selective	selective	ADJ
esrj-85531	197	38	search	search	NOUN
esrj-85531	197	39	algorithm	algorithm	NOUN
esrj-85531	197	40	after	after	ADP
esrj-85531	197	41	filtering	filter	VERB
esrj-85531	197	42	unreasonable	unreasonable	ADJ
esrj-85531	197	43	windows	window	NOUN
esrj-85531	197	44	.	.	PUNCT
esrj-85531	198	1	moreover	moreover	ADV
esrj-85531	198	2	,	,	PUNCT
esrj-85531	198	3	when	when	SCONJ
esrj-85531	198	4	there	there	PRON
esrj-85531	198	5	was	be	VERB
esrj-85531	198	6	no	no	DET
esrj-85531	198	7	constraint	constraint	NOUN
esrj-85531	198	8	,	,	PUNCT
esrj-85531	198	9	the	the	DET
esrj-85531	198	10	maximum	maximum	ADJ
esrj-85531	198	11	number	number	NOUN
esrj-85531	198	12	of	of	ADP
esrj-85531	198	13	candidate	candidate	NOUN
esrj-85531	198	14	windows	window	NOUN
esrj-85531	198	15	generated	generate	VERB
esrj-85531	198	16	by	by	ADP
esrj-85531	198	17	selective	selective	ADJ
esrj-85531	198	18	search	search	NOUN
esrj-85531	198	19	algorithm	algorithm	NOUN
esrj-85531	198	20	under	under	ADP
esrj-85531	198	21	different	different	ADJ
esrj-85531	198	22	pixel	pixel	NOUN
esrj-85531	198	23	sizes	size	NOUN
esrj-85531	198	24	was	be	AUX
esrj-85531	198	25	larger	large	ADJ
esrj-85531	198	26	than	than	ADP
esrj-85531	198	27	that	that	PRON
esrj-85531	198	28	generated	generate	VERB
esrj-85531	198	29	by	by	ADP
esrj-85531	198	30	selective	selective	ADJ
esrj-85531	198	31	search	search	NOUN
esrj-85531	198	32	algorithm	algorithm	NOUN
esrj-85531	198	33	after	after	ADP
esrj-85531	198	34	filtering	filter	VERB
esrj-85531	198	35	unreasonable	unreasonable	ADJ
esrj-85531	198	36	windows	window	NOUN
esrj-85531	198	37	.	.	PUNCT
esrj-85531	199	1	studies	study	NOUN
esrj-85531	199	2	showed	show	VERB
esrj-85531	199	3	that	that	SCONJ
esrj-85531	199	4	selective	selective	ADJ
esrj-85531	199	5	search	search	NOUN
esrj-85531	199	6	algorithm	algorithm	NOUN
esrj-85531	199	7	could	could	AUX
esrj-85531	199	8	generate	generate	VERB
esrj-85531	199	9	about	about	ADV
esrj-85531	199	10	2000	2000	NUM
esrj-85531	199	11	candidate	candidate	NOUN
esrj-85531	199	12	windows	window	NOUN
esrj-85531	199	13	on	on	ADP
esrj-85531	199	14	average	average	ADJ
esrj-85531	199	15	in	in	ADP
esrj-85531	199	16	natural	natural	ADJ
esrj-85531	199	17	images	image	NOUN
esrj-85531	199	18	(	(	PUNCT
esrj-85531	199	19	fan	fan	NOUN
esrj-85531	199	20	et	et	PROPN
esrj-85531	199	21	al	al	PROPN
esrj-85531	199	22	.	.	PROPN
esrj-85531	199	23	,	,	PUNCT
esrj-85531	199	24	2017	2017	NUM
esrj-85531	199	25	)	)	PUNCT
esrj-85531	199	26	.	.	PUNCT
esrj-85531	200	1	in	in	ADP
esrj-85531	200	2	this	this	DET
esrj-85531	200	3	experiment	experiment	NOUN
esrj-85531	200	4	,	,	PUNCT
esrj-85531	200	5	the	the	DET
esrj-85531	200	6	adopted	adopt	VERB
esrj-85531	200	7	remote	remote	ADJ
esrj-85531	200	8	sensing	sensing	NOUN
esrj-85531	200	9	images	image	NOUN
esrj-85531	200	10	could	could	AUX
esrj-85531	200	11	generate	generate	VERB
esrj-85531	200	12	3000	3000	NUM
esrj-85531	200	13	candidate	candidate	NOUN
esrj-85531	200	14	windows	window	NOUN
esrj-85531	200	15	on	on	ADP
esrj-85531	200	16	average	average	ADJ
esrj-85531	200	17	.	.	PUNCT
esrj-85531	201	1	by	by	ADP
esrj-85531	201	2	comparison	comparison	NOUN
esrj-85531	201	3	,	,	PUNCT
esrj-85531	201	4	selective	selective	ADJ
esrj-85531	201	5	search	search	NOUN
esrj-85531	201	6	algorithm	algorithm	NOUN
esrj-85531	201	7	could	could	AUX
esrj-85531	201	8	generate	generate	VERB
esrj-85531	201	9	more	more	ADJ
esrj-85531	201	10	candidate	candidate	NOUN
esrj-85531	201	11	windows	window	NOUN
esrj-85531	201	12	in	in	ADP
esrj-85531	201	13	remote	remote	ADJ
esrj-85531	201	14	sensing	sense	VERB
esrj-85531	201	15	image	image	NOUN
esrj-85531	201	16	.	.	PUNCT
esrj-85531	202	1	table	table	NOUN
esrj-85531	202	2	1	1	NUM
esrj-85531	202	3	shows	show	VERB
esrj-85531	202	4	the	the	DET
esrj-85531	202	5	running	running	NOUN
esrj-85531	202	6	time	time	NOUN
esrj-85531	202	7	of	of	ADP
esrj-85531	202	8	selective	selective	ADJ
esrj-85531	202	9	search	search	NOUN
esrj-85531	202	10	algorithm	algorithm	NOUN
esrj-85531	202	11	in	in	ADP
esrj-85531	202	12	figure	figure	NOUN
esrj-85531	202	13	3	3	NUM
esrj-85531	202	14	.	.	PUNCT
esrj-85531	202	15	calculation	calculation	NOUN
esrj-85531	202	16	process	process	NOUN
esrj-85531	202	17	of	of	ADP
esrj-85531	202	18	lbp	lbp	PROPN
esrj-85531	202	19	code	code	PROPN
esrj-85531	202	20	109optimal	109optimal	PROPN
esrj-85531	202	21	allocation	allocation	NOUN
esrj-85531	202	22	algorithm	algorithm	NOUN
esrj-85531	202	23	of	of	ADP
esrj-85531	202	24	geological	geological	ADJ
esrj-85531	202	25	and	and	CCONJ
esrj-85531	202	26	ecological	ecological	ADJ
esrj-85531	202	27	high	high	ADJ
esrj-85531	202	28	-	-	PUNCT
esrj-85531	202	29	resolution	resolution	NOUN
esrj-85531	202	30	remote	remote	ADJ
esrj-85531	202	31	sensing	sense	VERB
esrj-85531	202	32	monitoring	monitoring	NOUN
esrj-85531	202	33	sampling	sample	VERB
esrj-85531	202	34	points	point	NOUN
esrj-85531	202	35	remote	remote	ADJ
esrj-85531	202	36	sensing	sensing	NOUN
esrj-85531	202	37	images	image	NOUN
esrj-85531	202	38	of	of	ADP
esrj-85531	202	39	different	different	ADJ
esrj-85531	202	40	sizes	size	NOUN
esrj-85531	202	41	.	.	PUNCT
esrj-85531	203	1	as	as	SCONJ
esrj-85531	203	2	can	can	AUX
esrj-85531	203	3	be	be	AUX
esrj-85531	203	4	observed	observe	VERB
esrj-85531	203	5	from	from	ADP
esrj-85531	203	6	table	table	NOUN
esrj-85531	203	7	1	1	NUM
esrj-85531	203	8	,	,	PUNCT
esrj-85531	203	9	with	with	ADP
esrj-85531	203	10	the	the	DET
esrj-85531	203	11	increase	increase	NOUN
esrj-85531	203	12	of	of	ADP
esrj-85531	203	13	pixel	pixel	NOUN
esrj-85531	203	14	of	of	ADP
esrj-85531	203	15	remote	remote	ADJ
esrj-85531	203	16	sensing	sense	VERB
esrj-85531	203	17	image	image	NOUN
esrj-85531	203	18	,	,	PUNCT
esrj-85531	203	19	the	the	DET
esrj-85531	203	20	running	running	ADJ
esrj-85531	203	21	time	time	NOUN
esrj-85531	203	22	of	of	ADP
esrj-85531	203	23	the	the	DET
esrj-85531	203	24	algorithm	algorithm	NOUN
esrj-85531	203	25	had	have	AUX
esrj-85531	203	26	been	be	AUX
esrj-85531	203	27	increasing	increase	VERB
esrj-85531	203	28	.	.	PUNCT
esrj-85531	204	1	when	when	SCONJ
esrj-85531	204	2	the	the	DET
esrj-85531	204	3	pixel	pixel	PROPN
esrj-85531	204	4	size	size	NOUN
esrj-85531	204	5	was	be	AUX
esrj-85531	204	6	1500	1500	NUM
esrj-85531	204	7	*	*	SYM
esrj-85531	204	8	1500	1500	NUM
esrj-85531	204	9	,	,	PUNCT
esrj-85531	204	10	it	it	PRON
esrj-85531	204	11	took	take	VERB
esrj-85531	204	12	30s	30	NOUN
esrj-85531	204	13	to	to	PART
esrj-85531	204	14	get	get	VERB
esrj-85531	204	15	a	a	DET
esrj-85531	204	16	candidate	candidate	NOUN
esrj-85531	204	17	window	window	NOUN
esrj-85531	204	18	of	of	ADP
esrj-85531	204	19	image	image	NOUN
esrj-85531	204	20	in	in	ADP
esrj-85531	204	21	remote	remote	ADJ
esrj-85531	204	22	sensing	sense	VERB
esrj-85531	204	23	image	image	NOUN
esrj-85531	204	24	,	,	PUNCT
esrj-85531	204	25	which	which	PRON
esrj-85531	204	26	indicated	indicate	VERB
esrj-85531	204	27	that	that	SCONJ
esrj-85531	204	28	this	this	DET
esrj-85531	204	29	algorithm	algorithm	NOUN
esrj-85531	204	30	did	do	AUX
esrj-85531	204	31	not	not	PART
esrj-85531	204	32	occupy	occupy	VERB
esrj-85531	204	33	an	an	DET
esrj-85531	204	34	advantage	advantage	NOUN
esrj-85531	204	35	in	in	ADP
esrj-85531	204	36	remote	remote	ADJ
esrj-85531	204	37	sensing	sense	VERB
esrj-85531	204	38	pixel	pixel	NOUN
esrj-85531	204	39	size	size	NOUN
esrj-85531	204	40	.	.	PUNCT
esrj-85531	205	1	figure	figure	NOUN
esrj-85531	205	2	4	4	NUM
esrj-85531	205	3	.	.	PUNCT
esrj-85531	206	1	the	the	DET
esrj-85531	206	2	average	average	ADJ
esrj-85531	206	3	number	number	NOUN
esrj-85531	206	4	of	of	ADP
esrj-85531	206	5	candidates	candidate	NOUN
esrj-85531	206	6	extracted	extract	VERB
esrj-85531	206	7	by	by	ADP
esrj-85531	206	8	selective	selective	ADJ
esrj-85531	206	9	algorithm	algorithm	NOUN
esrj-85531	206	10	for	for	ADP
esrj-85531	206	11	remote	remote	ADJ
esrj-85531	206	12	sensing	sensing	NOUN
esrj-85531	206	13	images	image	NOUN
esrj-85531	206	14	of	of	ADP
esrj-85531	206	15	different	different	ADJ
esrj-85531	206	16	scales	scale	NOUN
esrj-85531	206	17	table	table	NOUN
esrj-85531	206	18	1	1	NUM
esrj-85531	206	19	.	.	PUNCT
esrj-85531	207	1	the	the	DET
esrj-85531	207	2	average	average	ADJ
esrj-85531	207	3	running	running	NOUN
esrj-85531	207	4	time	time	NOUN
esrj-85531	207	5	of	of	ADP
esrj-85531	207	6	selective	selective	ADJ
esrj-85531	207	7	algorithm	algorithm	NOUN
esrj-85531	207	8	for	for	ADP
esrj-85531	207	9	candidate	candidate	NOUN
esrj-85531	207	10	extraction	extraction	NOUN
esrj-85531	207	11	of	of	ADP
esrj-85531	207	12	remote	remote	ADJ
esrj-85531	207	13	sensing	sensing	NOUN
esrj-85531	207	14	images	image	NOUN
esrj-85531	207	15	in	in	ADP
esrj-85531	207	16	different	different	ADJ
esrj-85531	207	17	scales	scale	NOUN
esrj-85531	207	18	remote	remote	ADJ
esrj-85531	207	19	sensing	sense	VERB
esrj-85531	207	20	image	image	NOUN
esrj-85531	207	21	scale	scale	NOUN
esrj-85531	207	22	/	/	SYM
esrj-85531	207	23	pixel	pixel	NOUN
esrj-85531	207	24	500	500	NUM
esrj-85531	207	25	*	*	SYM
esrj-85531	207	26	500	500	NUM
esrj-85531	207	27	800	800	NUM
esrj-85531	207	28	*	*	NUM
esrj-85531	207	29	800	800	NUM
esrj-85531	207	30	1000	1000	NUM
esrj-85531	207	31	*	*	NUM
esrj-85531	207	32	1000	1000	NUM
esrj-85531	207	33	1500	1500	NUM
esrj-85531	207	34	*	*	SYM
esrj-85531	207	35	1500	1500	NUM
esrj-85531	207	36	average	average	ADJ
esrj-85531	207	37	processing	processing	NOUN
esrj-85531	207	38	time	time	NOUN
esrj-85531	207	39	/	/	SYM
esrj-85531	207	40	s	s	PROPN
esrj-85531	207	41	2.7	2.7	NUM
esrj-85531	207	42	7.6	7.6	NUM
esrj-85531	207	43	14.3	14.3	NUM
esrj-85531	207	44	29.8	29.8	NUM
esrj-85531	207	45	comparison	comparison	NOUN
esrj-85531	207	46	and	and	CCONJ
esrj-85531	207	47	analysis	analysis	NOUN
esrj-85531	207	48	of	of	ADP
esrj-85531	207	49	the	the	DET
esrj-85531	207	50	effects	effect	NOUN
esrj-85531	207	51	of	of	ADP
esrj-85531	207	52	bing	bing	NOUN
esrj-85531	207	53	algorithm	algorithm	NOUN
esrj-85531	207	54	and	and	CCONJ
esrj-85531	207	55	ibing	ibe	VERB
esrj-85531	207	56	algorithm	algorithm	NOUN
esrj-85531	207	57	figure	figure	NOUN
esrj-85531	207	58	5	5	NUM
esrj-85531	207	59	is	be	AUX
esrj-85531	207	60	the	the	DET
esrj-85531	207	61	candidate	candidate	NOUN
esrj-85531	207	62	effect	effect	NOUN
esrj-85531	207	63	diagram	diagram	NOUN
esrj-85531	207	64	of	of	ADP
esrj-85531	207	65	extraction	extraction	NOUN
esrj-85531	207	66	on	on	ADP
esrj-85531	207	67	high	high	ADJ
esrj-85531	207	68	-	-	PUNCT
esrj-85531	207	69	resolution	resolution	NOUN
esrj-85531	207	70	remote	remote	ADJ
esrj-85531	207	71	sensing	sensing	NOUN
esrj-85531	207	72	images	image	NOUN
esrj-85531	207	73	by	by	ADP
esrj-85531	207	74	bing	bing	VERB
esrj-85531	207	75	algorithm	algorithm	NOUN
esrj-85531	207	76	and	and	CCONJ
esrj-85531	207	77	ibing	ibe	VERB
esrj-85531	207	78	algorithm	algorithm	NOUN
esrj-85531	207	79	.	.	PUNCT
esrj-85531	208	1	as	as	SCONJ
esrj-85531	208	2	can	can	AUX
esrj-85531	208	3	be	be	AUX
esrj-85531	208	4	concluded	conclude	VERB
esrj-85531	208	5	from	from	ADP
esrj-85531	208	6	figure	figure	NOUN
esrj-85531	208	7	5	5	NUM
esrj-85531	208	8	,	,	PUNCT
esrj-85531	208	9	when	when	SCONJ
esrj-85531	208	10	the	the	DET
esrj-85531	208	11	number	number	NOUN
esrj-85531	208	12	of	of	ADP
esrj-85531	208	13	candidate	candidate	NOUN
esrj-85531	208	14	windows	window	NOUN
esrj-85531	208	15	was	be	AUX
esrj-85531	208	16	the	the	DET
esrj-85531	208	17	same	same	ADJ
esrj-85531	208	18	,	,	PUNCT
esrj-85531	208	19	the	the	DET
esrj-85531	208	20	dr	dr	PROPN
esrj-85531	208	21	/	/	SYM
esrj-85531	208	22	mabo	mabo	NOUN
esrj-85531	208	23	value	value	NOUN
esrj-85531	208	24	of	of	ADP
esrj-85531	208	25	ibing	ibe	VERB
esrj-85531	208	26	algorithm	algorithm	NOUN
esrj-85531	208	27	was	be	AUX
esrj-85531	208	28	97.37	97.37	NUM
esrj-85531	208	29	%	%	NOUN
esrj-85531	208	30	,	,	PUNCT
esrj-85531	208	31	while	while	SCONJ
esrj-85531	208	32	the	the	DET
esrj-85531	208	33	dr/	dr/	NOUN
esrj-85531	208	34	mabo	mabo	NOUN
esrj-85531	208	35	value	value	NOUN
esrj-85531	208	36	of	of	ADP
esrj-85531	208	37	bing	bing	NOUN
esrj-85531	208	38	algorithm	algorithm	NOUN
esrj-85531	208	39	was	be	AUX
esrj-85531	208	40	95.13	95.13	NUM
esrj-85531	208	41	%	%	NOUN
esrj-85531	208	42	.	.	PUNCT
esrj-85531	209	1	therefore	therefore	ADV
esrj-85531	209	2	,	,	PUNCT
esrj-85531	209	3	the	the	DET
esrj-85531	209	4	extraction	extraction	NOUN
esrj-85531	209	5	effect	effect	NOUN
esrj-85531	209	6	of	of	ADP
esrj-85531	209	7	ibing	ibe	VERB
esrj-85531	209	8	algorithm	algorithm	NOUN
esrj-85531	209	9	was	be	AUX
esrj-85531	209	10	better	well	ADJ
esrj-85531	209	11	than	than	ADP
esrj-85531	209	12	that	that	PRON
esrj-85531	209	13	of	of	ADP
esrj-85531	209	14	bing	bing	NOUN
esrj-85531	209	15	algorithm	algorithm	NOUN
esrj-85531	209	16	.	.	PUNCT
esrj-85531	210	1	similarly	similarly	ADV
esrj-85531	210	2	,	,	PUNCT
esrj-85531	210	3	the	the	DET
esrj-85531	210	4	mabo	mabo	NOUN
esrj-85531	210	5	value	value	NOUN
esrj-85531	210	6	of	of	ADP
esrj-85531	210	7	ibing	ibe	VERB
esrj-85531	210	8	algorithm	algorithm	NOUN
esrj-85531	210	9	was	be	AUX
esrj-85531	210	10	65.36	65.36	NUM
esrj-85531	210	11	%	%	NOUN
esrj-85531	210	12	,	,	PUNCT
esrj-85531	210	13	while	while	SCONJ
esrj-85531	210	14	the	the	DET
esrj-85531	210	15	dr	dr	PROPN
esrj-85531	210	16	/	/	SYM
esrj-85531	210	17	mabo	mabo	NOUN
esrj-85531	210	18	value	value	NOUN
esrj-85531	210	19	of	of	ADP
esrj-85531	210	20	bing	bing	NOUN
esrj-85531	210	21	algorithm	algorithm	NOUN
esrj-85531	210	22	was	be	AUX
esrj-85531	210	23	63.21	63.21	NUM
esrj-85531	210	24	%	%	NOUN
esrj-85531	210	25	,	,	PUNCT
esrj-85531	210	26	indicating	indicate	VERB
esrj-85531	210	27	that	that	SCONJ
esrj-85531	210	28	the	the	DET
esrj-85531	210	29	quality	quality	NOUN
esrj-85531	210	30	of	of	ADP
esrj-85531	210	31	candidate	candidate	NOUN
esrj-85531	210	32	boxes	box	NOUN
esrj-85531	210	33	extracted	extract	VERB
esrj-85531	210	34	from	from	ADP
esrj-85531	210	35	remote	remote	ADJ
esrj-85531	210	36	sensing	sensing	NOUN
esrj-85531	210	37	images	image	NOUN
esrj-85531	210	38	by	by	ADP
esrj-85531	210	39	the	the	DET
esrj-85531	210	40	improved	improved	ADJ
esrj-85531	210	41	algorithm	algorithm	NOUN
esrj-85531	210	42	was	be	AUX
esrj-85531	210	43	higher	high	ADJ
esrj-85531	210	44	.	.	PUNCT
esrj-85531	211	1	figure	figure	NOUN
esrj-85531	211	2	6	6	NUM
esrj-85531	211	3	shows	show	VERB
esrj-85531	211	4	the	the	DET
esrj-85531	211	5	extraction	extraction	NOUN
esrj-85531	211	6	effect	effect	NOUN
esrj-85531	211	7	diagram	diagram	NOUN
esrj-85531	211	8	when	when	SCONJ
esrj-85531	211	9	the	the	DET
esrj-85531	211	10	number	number	NOUN
esrj-85531	211	11	of	of	ADP
esrj-85531	211	12	candidate	candidate	NOUN
esrj-85531	211	13	areas	area	NOUN
esrj-85531	211	14	is	be	AUX
esrj-85531	211	15	1000~10000	1000~10000	NUM
esrj-85531	211	16	.	.	PUNCT
esrj-85531	212	1	it	it	PRON
esrj-85531	212	2	can	can	AUX
esrj-85531	212	3	be	be	AUX
esrj-85531	212	4	observed	observe	VERB
esrj-85531	212	5	that	that	SCONJ
esrj-85531	212	6	as	as	SCONJ
esrj-85531	212	7	the	the	DET
esrj-85531	212	8	number	number	NOUN
esrj-85531	212	9	of	of	ADP
esrj-85531	212	10	candidate	candidate	NOUN
esrj-85531	212	11	regions	region	NOUN
esrj-85531	212	12	increased	increase	VERB
esrj-85531	212	13	,	,	PUNCT
esrj-85531	212	14	both	both	CCONJ
esrj-85531	212	15	the	the	DET
esrj-85531	212	16	dr	dr	PROPN
esrj-85531	212	17	and	and	CCONJ
esrj-85531	212	18	mabo	mabo	NOUN
esrj-85531	212	19	indicators	indicator	NOUN
esrj-85531	212	20	tended	tend	VERB
esrj-85531	212	21	to	to	PART
esrj-85531	212	22	rise	rise	VERB
esrj-85531	212	23	and	and	CCONJ
esrj-85531	212	24	then	then	ADV
esrj-85531	212	25	stabilize	stabilize	VERB
esrj-85531	212	26	.	.	PUNCT
esrj-85531	213	1	when	when	SCONJ
esrj-85531	213	2	the	the	DET
esrj-85531	213	3	number	number	NOUN
esrj-85531	213	4	of	of	ADP
esrj-85531	213	5	candidate	candidate	NOUN
esrj-85531	213	6	areas	area	NOUN
esrj-85531	213	7	was	be	AUX
esrj-85531	213	8	less	less	ADJ
esrj-85531	213	9	than	than	ADP
esrj-85531	213	10	5000	5000	NUM
esrj-85531	213	11	,	,	PUNCT
esrj-85531	213	12	the	the	DET
esrj-85531	213	13	index	index	NOUN
esrj-85531	213	14	was	be	AUX
esrj-85531	213	15	rising	rise	VERB
esrj-85531	213	16	,	,	PUNCT
esrj-85531	213	17	and	and	CCONJ
esrj-85531	213	18	when	when	SCONJ
esrj-85531	213	19	the	the	DET
esrj-85531	213	20	number	number	NOUN
esrj-85531	213	21	was	be	AUX
esrj-85531	213	22	greater	great	ADJ
esrj-85531	213	23	than	than	ADP
esrj-85531	213	24	5000	5000	NUM
esrj-85531	213	25	,	,	PUNCT
esrj-85531	213	26	it	it	PRON
esrj-85531	213	27	did	do	AUX
esrj-85531	213	28	not	not	PART
esrj-85531	213	29	change	change	VERB
esrj-85531	213	30	.	.	PUNCT
esrj-85531	214	1	this	this	PRON
esrj-85531	214	2	indicated	indicate	VERB
esrj-85531	214	3	that	that	SCONJ
esrj-85531	214	4	the	the	DET
esrj-85531	214	5	number	number	NOUN
esrj-85531	214	6	of	of	ADP
esrj-85531	214	7	targets	target	NOUN
esrj-85531	214	8	in	in	ADP
esrj-85531	214	9	large	large	ADJ
esrj-85531	214	10	-	-	PUNCT
esrj-85531	214	11	format	format	NOUN
esrj-85531	214	12	remote	remote	ADJ
esrj-85531	214	13	sensing	sensing	NOUN
esrj-85531	214	14	images	image	NOUN
esrj-85531	214	15	was	be	AUX
esrj-85531	214	16	relatively	relatively	ADV
esrj-85531	214	17	large	large	ADJ
esrj-85531	214	18	,	,	PUNCT
esrj-85531	214	19	and	and	CCONJ
esrj-85531	214	20	the	the	DET
esrj-85531	214	21	range	range	NOUN
esrj-85531	214	22	of	of	ADP
esrj-85531	214	23	possible	possible	ADJ
esrj-85531	214	24	positions	position	NOUN
esrj-85531	214	25	of	of	ADP
esrj-85531	214	26	targets	target	NOUN
esrj-85531	214	27	increased	increase	VERB
esrj-85531	214	28	significantly	significantly	ADV
esrj-85531	214	29	,	,	PUNCT
esrj-85531	214	30	so	so	ADV
esrj-85531	214	31	more	more	ADJ
esrj-85531	214	32	candidate	candidate	NOUN
esrj-85531	214	33	windows	window	NOUN
esrj-85531	214	34	were	be	AUX
esrj-85531	214	35	needed	need	VERB
esrj-85531	214	36	to	to	PART
esrj-85531	214	37	achieve	achieve	VERB
esrj-85531	214	38	a	a	DET
esrj-85531	214	39	certain	certain	ADJ
esrj-85531	214	40	detection	detection	NOUN
esrj-85531	214	41	rate	rate	NOUN
esrj-85531	214	42	.	.	PUNCT
esrj-85531	215	1	comparison	comparison	NOUN
esrj-85531	215	2	and	and	CCONJ
esrj-85531	215	3	analysis	analysis	NOUN
esrj-85531	215	4	of	of	ADP
esrj-85531	215	5	average	average	ADJ
esrj-85531	215	6	detection	detection	NOUN
esrj-85531	215	7	time	time	NOUN
esrj-85531	215	8	between	between	ADP
esrj-85531	215	9	bing	bing	VERB
esrj-85531	215	10	algorithm	algorithm	NOUN
esrj-85531	215	11	and	and	CCONJ
esrj-85531	215	12	ibing	ibe	VERB
esrj-85531	215	13	algorithm	algorithm	NOUN
esrj-85531	215	14	figure	figure	NOUN
esrj-85531	215	15	7	7	NUM
esrj-85531	215	16	shows	show	VERB
esrj-85531	215	17	the	the	DET
esrj-85531	215	18	average	average	ADJ
esrj-85531	215	19	detection	detection	NOUN
esrj-85531	215	20	time	time	NOUN
esrj-85531	215	21	of	of	ADP
esrj-85531	215	22	bing	bing	NOUN
esrj-85531	215	23	algorithm	algorithm	NOUN
esrj-85531	215	24	and	and	CCONJ
esrj-85531	215	25	ibng	ibng	PROPN
esrj-85531	215	26	algorithm	algorithm	NOUN
esrj-85531	215	27	on	on	ADP
esrj-85531	215	28	different	different	ADJ
esrj-85531	215	29	data	datum	NOUN
esrj-85531	215	30	sets	set	NOUN
esrj-85531	215	31	.	.	PUNCT
esrj-85531	216	1	as	as	SCONJ
esrj-85531	216	2	can	can	AUX
esrj-85531	216	3	be	be	AUX
esrj-85531	216	4	observed	observe	VERB
esrj-85531	216	5	from	from	ADP
esrj-85531	216	6	the	the	DET
esrj-85531	216	7	figure	figure	NOUN
esrj-85531	216	8	,	,	PUNCT
esrj-85531	216	9	under	under	ADP
esrj-85531	216	10	the	the	DET
esrj-85531	216	11	bing	bing	NOUN
esrj-85531	216	12	algorithm	algorithm	NOUN
esrj-85531	216	13	,	,	PUNCT
esrj-85531	216	14	the	the	DET
esrj-85531	216	15	detection	detection	NOUN
esrj-85531	216	16	time	time	NOUN
esrj-85531	216	17	increased	increase	VERB
esrj-85531	216	18	with	with	ADP
esrj-85531	216	19	the	the	DET
esrj-85531	216	20	increase	increase	NOUN
esrj-85531	216	21	of	of	ADP
esrj-85531	216	22	size	size	NOUN
esrj-85531	216	23	,	,	PUNCT
esrj-85531	216	24	but	but	CCONJ
esrj-85531	216	25	the	the	DET
esrj-85531	216	26	maximum	maximum	ADJ
esrj-85531	216	27	time	time	NOUN
esrj-85531	216	28	did	do	AUX
esrj-85531	216	29	not	not	PART
esrj-85531	216	30	exceed	exceed	VERB
esrj-85531	216	31	1s	1s	NUM
esrj-85531	216	32	.	.	PUNCT
esrj-85531	217	1	however	however	ADV
esrj-85531	217	2	,	,	PUNCT
esrj-85531	217	3	the	the	DET
esrj-85531	217	4	increase	increase	NOUN
esrj-85531	217	5	of	of	ADP
esrj-85531	217	6	ibing	ibe	VERB
esrj-85531	217	7	algorithm	algorithm	NOUN
esrj-85531	217	8	was	be	AUX
esrj-85531	217	9	obvious	obvious	ADJ
esrj-85531	217	10	,	,	PUNCT
esrj-85531	217	11	which	which	PRON
esrj-85531	217	12	increased	increase	VERB
esrj-85531	217	13	from	from	ADP
esrj-85531	217	14	0.18s	0.18s	NUM
esrj-85531	217	15	to	to	ADP
esrj-85531	217	16	0.64s	0.64s	NUM
esrj-85531	217	17	.	.	PUNCT
esrj-85531	218	1	this	this	PRON
esrj-85531	218	2	showed	show	VERB
esrj-85531	218	3	that	that	SCONJ
esrj-85531	218	4	although	although	SCONJ
esrj-85531	218	5	ibing	ibe	VERB
esrj-85531	218	6	algorithm	algorithm	NOUN
esrj-85531	218	7	could	could	AUX
esrj-85531	218	8	greatly	greatly	ADV
esrj-85531	218	9	improve	improve	VERB
esrj-85531	218	10	the	the	DET
esrj-85531	218	11	extraction	extraction	NOUN
esrj-85531	218	12	speed	speed	NOUN
esrj-85531	218	13	of	of	ADP
esrj-85531	218	14	remote	remote	ADJ
esrj-85531	218	15	sensing	sensing	NOUN
esrj-85531	218	16	,	,	PUNCT
esrj-85531	218	17	the	the	DET
esrj-85531	218	18	detection	detection	NOUN
esrj-85531	218	19	time	time	NOUN
esrj-85531	218	20	of	of	ADP
esrj-85531	218	21	each	each	DET
esrj-85531	218	22	image	image	NOUN
esrj-85531	218	23	was	be	AUX
esrj-85531	218	24	increased	increase	VERB
esrj-85531	218	25	,	,	PUNCT
esrj-85531	218	26	and	and	CCONJ
esrj-85531	218	27	such	such	ADJ
esrj-85531	218	28	detection	detection	NOUN
esrj-85531	218	29	time	time	NOUN
esrj-85531	218	30	was	be	AUX
esrj-85531	218	31	acceptable	acceptable	ADJ
esrj-85531	218	32	.	.	PUNCT
esrj-85531	219	1	figure	figure	NOUN
esrj-85531	219	2	7	7	NUM
esrj-85531	219	3	.	.	PUNCT
esrj-85531	219	4	average	average	ADJ
esrj-85531	219	5	detection	detection	NOUN
esrj-85531	219	6	time	time	NOUN
esrj-85531	219	7	of	of	ADP
esrj-85531	219	8	bing	bing	NOUN
esrj-85531	219	9	algorithm	algorithm	NOUN
esrj-85531	219	10	and	and	CCONJ
esrj-85531	219	11	ibng	ibng	PROPN
esrj-85531	219	12	algorithm	algorithm	NOUN
esrj-85531	219	13	on	on	ADP
esrj-85531	219	14	different	different	ADJ
esrj-85531	219	15	data	datum	NOUN
esrj-85531	219	16	sets	set	NOUN
esrj-85531	219	17	figure	figure	VERB
esrj-85531	219	18	5	5	NUM
esrj-85531	219	19	.	.	PUNCT
esrj-85531	220	1	candidate	candidate	NOUN
esrj-85531	220	2	renderings	rendering	NOUN
esrj-85531	220	3	extracted	extract	VERB
esrj-85531	220	4	from	from	ADP
esrj-85531	220	5	high	high	ADJ
esrj-85531	220	6	-	-	PUNCT
esrj-85531	220	7	resolution	resolution	NOUN
esrj-85531	220	8	remote	remote	ADJ
esrj-85531	220	9	sensing	sensing	NOUN
esrj-85531	220	10	images	image	NOUN
esrj-85531	220	11	by	by	ADP
esrj-85531	220	12	bing	bing	VERB
esrj-85531	220	13	algorithm	algorithm	NOUN
esrj-85531	220	14	and	and	CCONJ
esrj-85531	220	15	ibing	ibe	VERB
esrj-85531	220	16	algorithm	algorithm	NOUN
esrj-85531	220	17	figure	figure	NOUN
esrj-85531	220	18	6	6	NUM
esrj-85531	220	19	.	.	PUNCT
esrj-85531	221	1	extraction	extraction	NOUN
esrj-85531	221	2	effect	effect	NOUN
esrj-85531	221	3	in	in	ADP
esrj-85531	221	4	1000~10000	1000~10000	NUM
esrj-85531	221	5	candidate	candidate	NOUN
esrj-85531	221	6	areas	area	NOUN
esrj-85531	221	7	110	110	NUM
esrj-85531	221	8	taifu	taifu	VERB
esrj-85531	221	9	bi	bi	ADJ
esrj-85531	221	10	conclusion	conclusion	NOUN
esrj-85531	221	11	in	in	ADP
esrj-85531	221	12	this	this	DET
esrj-85531	221	13	research	research	NOUN
esrj-85531	221	14	,	,	PUNCT
esrj-85531	221	15	the	the	DET
esrj-85531	221	16	algorithm	algorithm	NOUN
esrj-85531	221	17	was	be	AUX
esrj-85531	221	18	optimized	optimize	VERB
esrj-85531	221	19	for	for	ADP
esrj-85531	221	20	high	high	ADJ
esrj-85531	221	21	-	-	PUNCT
esrj-85531	221	22	resolution	resolution	NOUN
esrj-85531	221	23	remote	remote	ADJ
esrj-85531	221	24	sensing	sense	VERB
esrj-85531	221	25	detection	detection	NOUN
esrj-85531	221	26	sampling	sample	VERB
esrj-85531	221	27	points	point	NOUN
esrj-85531	221	28	under	under	ADP
esrj-85531	221	29	geological	geological	ADJ
esrj-85531	221	30	ecology	ecology	NOUN
esrj-85531	221	31	.	.	PUNCT
esrj-85531	222	1	the	the	DET
esrj-85531	222	2	three	three	NUM
esrj-85531	222	3	algorithms	algorithm	NOUN
esrj-85531	222	4	involved	involve	VERB
esrj-85531	222	5	in	in	ADP
esrj-85531	222	6	traditional	traditional	ADJ
esrj-85531	222	7	remote	remote	ADJ
esrj-85531	222	8	sensing	sense	VERB
esrj-85531	222	9	technology	technology	NOUN
esrj-85531	222	10	are	be	AUX
esrj-85531	222	11	selective	selective	ADJ
esrj-85531	222	12	search	search	NOUN
esrj-85531	222	13	algorithm	algorithm	NOUN
esrj-85531	222	14	,	,	PUNCT
esrj-85531	222	15	svm	svm	ADJ
esrj-85531	222	16	algorithm	algorithm	NOUN
esrj-85531	222	17	and	and	CCONJ
esrj-85531	222	18	bing	bing	NOUN
esrj-85531	222	19	algorithm	algorithm	NOUN
esrj-85531	222	20	respectively	respectively	ADV
esrj-85531	222	21	.	.	PUNCT
esrj-85531	223	1	in	in	ADP
esrj-85531	223	2	this	this	DET
esrj-85531	223	3	paper	paper	NOUN
esrj-85531	223	4	,	,	PUNCT
esrj-85531	223	5	the	the	DET
esrj-85531	223	6	bing	bing	NOUN
esrj-85531	223	7	algorithm	algorithm	NOUN
esrj-85531	223	8	was	be	AUX
esrj-85531	223	9	improved	improve	VERB
esrj-85531	223	10	to	to	PART
esrj-85531	223	11	obtain	obtain	VERB
esrj-85531	223	12	the	the	DET
esrj-85531	223	13	ibing	ibing	NOUN
esrj-85531	223	14	algorithm	algorithm	NOUN
esrj-85531	223	15	.	.	PUNCT
esrj-85531	224	1	according	accord	VERB
esrj-85531	224	2	to	to	ADP
esrj-85531	224	3	different	different	ADJ
esrj-85531	224	4	data	datum	NOUN
esrj-85531	224	5	sets	set	NOUN
esrj-85531	224	6	,	,	PUNCT
esrj-85531	224	7	the	the	DET
esrj-85531	224	8	selective	selective	ADJ
esrj-85531	224	9	search	search	NOUN
esrj-85531	224	10	algorithm	algorithm	NOUN
esrj-85531	224	11	in	in	ADP
esrj-85531	224	12	remote	remote	ADJ
esrj-85531	224	13	sensing	sense	VERB
esrj-85531	224	14	image	image	NOUN
esrj-85531	224	15	was	be	AUX
esrj-85531	224	16	verified	verify	VERB
esrj-85531	224	17	for	for	ADP
esrj-85531	224	18	the	the	DET
esrj-85531	224	19	applicability	applicability	NOUN
esrj-85531	224	20	of	of	ADP
esrj-85531	224	21	target	target	NOUN
esrj-85531	224	22	extraction	extraction	NOUN
esrj-85531	224	23	of	of	ADP
esrj-85531	224	24	monitoring	monitoring	NOUN
esrj-85531	224	25	sampling	sample	VERB
esrj-85531	224	26	points	point	NOUN
esrj-85531	224	27	,	,	PUNCT
esrj-85531	224	28	and	and	CCONJ
esrj-85531	224	29	the	the	DET
esrj-85531	224	30	improved	improved	ADJ
esrj-85531	224	31	bing	bing	NOUN
esrj-85531	224	32	algorithm	algorithm	NOUN
esrj-85531	224	33	was	be	AUX
esrj-85531	224	34	also	also	ADV
esrj-85531	224	35	verified	verify	VERB
esrj-85531	224	36	.	.	PUNCT
esrj-85531	225	1	the	the	DET
esrj-85531	225	2	results	result	NOUN
esrj-85531	225	3	showed	show	VERB
esrj-85531	225	4	that	that	SCONJ
esrj-85531	225	5	selective	selective	ADJ
esrj-85531	225	6	search	search	NOUN
esrj-85531	225	7	algorithm	algorithm	NOUN
esrj-85531	225	8	could	could	AUX
esrj-85531	225	9	generate	generate	VERB
esrj-85531	225	10	more	more	ADJ
esrj-85531	225	11	candidate	candidate	NOUN
esrj-85531	225	12	windows	window	NOUN
esrj-85531	225	13	in	in	ADP
esrj-85531	225	14	remote	remote	ADJ
esrj-85531	225	15	sensing	sense	VERB
esrj-85531	225	16	image	image	NOUN
esrj-85531	225	17	and	and	CCONJ
esrj-85531	225	18	had	have	VERB
esrj-85531	225	19	better	well	ADJ
esrj-85531	225	20	adaptability	adaptability	NOUN
esrj-85531	225	21	.	.	PUNCT
esrj-85531	226	1	the	the	DET
esrj-85531	226	2	improved	improved	ADJ
esrj-85531	226	3	algorithm	algorithm	NOUN
esrj-85531	226	4	had	have	VERB
esrj-85531	226	5	higher	high	ADJ
esrj-85531	226	6	quality	quality	NOUN
esrj-85531	226	7	of	of	ADP
esrj-85531	226	8	candidate	candidate	NOUN
esrj-85531	226	9	boxes	box	NOUN
esrj-85531	226	10	extracted	extract	VERB
esrj-85531	226	11	from	from	ADP
esrj-85531	226	12	remote	remote	ADJ
esrj-85531	226	13	sensing	sensing	NOUN
esrj-85531	226	14	images	image	NOUN
esrj-85531	226	15	.	.	PUNCT
esrj-85531	227	1	although	although	SCONJ
esrj-85531	227	2	the	the	DET
esrj-85531	227	3	ibing	ibing	NOUN
esrj-85531	227	4	algorithm	algorithm	NOUN
esrj-85531	227	5	could	could	AUX
esrj-85531	227	6	greatly	greatly	ADV
esrj-85531	227	7	improve	improve	VERB
esrj-85531	227	8	the	the	DET
esrj-85531	227	9	extraction	extraction	NOUN
esrj-85531	227	10	speed	speed	NOUN
esrj-85531	227	11	of	of	ADP
esrj-85531	227	12	remote	remote	ADJ
esrj-85531	227	13	sensing	sensing	NOUN
esrj-85531	227	14	,	,	PUNCT
esrj-85531	227	15	the	the	DET
esrj-85531	227	16	detection	detection	NOUN
esrj-85531	227	17	time	time	NOUN
esrj-85531	227	18	for	for	ADP
esrj-85531	227	19	each	each	DET
esrj-85531	227	20	image	image	NOUN
esrj-85531	227	21	became	become	VERB
esrj-85531	227	22	larger	large	ADJ
esrj-85531	227	23	.	.	PUNCT
esrj-85531	228	1	and	and	CCONJ
esrj-85531	228	2	such	such	ADJ
esrj-85531	228	3	detection	detection	NOUN
esrj-85531	228	4	time	time	NOUN
esrj-85531	228	5	was	be	AUX
esrj-85531	228	6	also	also	ADV
esrj-85531	228	7	acceptable	acceptable	ADJ
esrj-85531	228	8	.	.	PUNCT
esrj-85531	229	1	the	the	DET
esrj-85531	229	2	algorithm	algorithm	NOUN
esrj-85531	229	3	optimization	optimization	NOUN
esrj-85531	229	4	of	of	ADP
esrj-85531	229	5	high	high	ADJ
esrj-85531	229	6	-	-	PUNCT
esrj-85531	229	7	resolution	resolution	NOUN
esrj-85531	229	8	remote	remote	ADJ
esrj-85531	229	9	sensing	sense	VERB
esrj-85531	229	10	monitoring	monitoring	NOUN
esrj-85531	229	11	sampling	sample	VERB
esrj-85531	229	12	points	point	NOUN
esrj-85531	229	13	in	in	ADP
esrj-85531	229	14	geological	geological	ADJ
esrj-85531	229	15	ecology	ecology	NOUN
esrj-85531	229	16	was	be	AUX
esrj-85531	229	17	carried	carry	VERB
esrj-85531	229	18	out	out	ADP
esrj-85531	229	19	,	,	PUNCT
esrj-85531	229	20	and	and	CCONJ
esrj-85531	229	21	the	the	DET
esrj-85531	229	22	superiority	superiority	NOUN
esrj-85531	229	23	of	of	ADP
esrj-85531	229	24	the	the	DET
esrj-85531	229	25	algorithm	algorithm	NOUN
esrj-85531	229	26	was	be	AUX
esrj-85531	229	27	verified	verify	VERB
esrj-85531	229	28	through	through	ADP
esrj-85531	229	29	experiments	experiment	NOUN
esrj-85531	229	30	,	,	PUNCT
esrj-85531	229	31	which	which	PRON
esrj-85531	229	32	promoted	promote	VERB
esrj-85531	229	33	the	the	DET
esrj-85531	229	34	application	application	NOUN
esrj-85531	229	35	of	of	ADP
esrj-85531	229	36	high	high	ADJ
esrj-85531	229	37	-	-	PUNCT
esrj-85531	229	38	resolution	resolution	NOUN
esrj-85531	229	39	remote	remote	ADJ
esrj-85531	229	40	sensing	sense	VERB
esrj-85531	229	41	technology	technology	NOUN
esrj-85531	229	42	in	in	ADP
esrj-85531	229	43	geological	geological	ADJ
esrj-85531	229	44	ecology	ecology	NOUN
esrj-85531	229	45	.	.	PUNCT
esrj-85531	230	1	reference	reference	PROPN
esrj-85531	230	2	ellis	ellis	PROPN
esrj-85531	230	3	,	,	PUNCT
esrj-85531	230	4	c.	c.	PROPN
esrj-85531	230	5	j.	j.	PROPN
esrj-85531	230	6	,	,	PUNCT
esrj-85531	230	7	&	&	CCONJ
esrj-85531	230	8	coppins	coppin	NOUN
esrj-85531	230	9	,	,	PUNCT
esrj-85531	230	10	b.	b.	PROPN
esrj-85531	230	11	j.	j.	PROPN
esrj-85531	230	12	(	(	PUNCT
esrj-85531	230	13	2017	2017	NUM
esrj-85531	230	14	)	)	PUNCT
esrj-85531	230	15	.	.	PUNCT
esrj-85531	231	1	taxonomic	taxonomic	ADJ
esrj-85531	231	2	survey	survey	NOUN
esrj-85531	231	3	compared	compare	VERB
esrj-85531	231	4	to	to	ADP
esrj-85531	231	5	ecological	ecological	ADJ
esrj-85531	231	6	sampling	sampling	NOUN
esrj-85531	231	7	:	:	PUNCT
esrj-85531	231	8	are	be	AUX
esrj-85531	231	9	the	the	DET
esrj-85531	231	10	results	result	NOUN
esrj-85531	231	11	consistent	consistent	ADJ
esrj-85531	231	12	for	for	ADP
esrj-85531	231	13	woodland	woodland	NOUN
esrj-85531	231	14	epiphytes	epiphyte	NOUN
esrj-85531	231	15	.	.	PUNCT
esrj-85531	232	1	lichenologist	lichenologist	NOUN
esrj-85531	232	2	,	,	PUNCT
esrj-85531	232	3	49(2	49(2	NUM
esrj-85531	232	4	)	)	PUNCT
esrj-85531	232	5	,	,	PUNCT
esrj-85531	232	6	141	141	NUM
esrj-85531	232	7	-	-	SYM
esrj-85531	232	8	155	155	NUM
esrj-85531	232	9	.	.	PUNCT
esrj-85531	233	1	fan	fan	PROPN
esrj-85531	233	2	,	,	PUNCT
esrj-85531	233	3	l.	l.	PROPN
esrj-85531	233	4	m.	m.	PROPN
esrj-85531	233	5	,	,	PUNCT
esrj-85531	233	6	ma	ma	PROPN
esrj-85531	233	7	,	,	PUNCT
esrj-85531	233	8	x.	x.	PROPN
esrj-85531	233	9	,	,	PUNCT
esrj-85531	233	10	li	li	PROPN
esrj-85531	233	11	,	,	PUNCT
esrj-85531	233	12	y.	y.	PROPN
esrj-85531	233	13	,	,	PUNCT
esrj-85531	233	14	li	li	PROPN
esrj-85531	233	15	,	,	PUNCT
esrj-85531	233	16	c.	c.	PROPN
esrj-85531	233	17	,	,	PUNCT
esrj-85531	233	18	yao	yao	PROPN
esrj-85531	233	19	,	,	PUNCT
esrj-85531	233	20	c.	c.	PROPN
esrj-85531	233	21	,	,	PUNCT
esrj-85531	233	22	xiang	xiang	PROPN
esrj-85531	233	23	,	,	PUNCT
esrj-85531	233	24	m.	m.	NOUN
esrj-85531	233	25	,	,	PUNCT
esrj-85531	233	26	wu	wu	PROPN
esrj-85531	233	27	,	,	PUNCT
esrj-85531	233	28	b.	b.	PROPN
esrj-85531	233	29	,	,	PUNCT
esrj-85531	233	30	&	&	CCONJ
esrj-85531	233	31	peng	peng	PROPN
esrj-85531	233	32	,	,	PUNCT
esrj-85531	233	33	j.	j.	PROPN
esrj-85531	233	34	(	(	PUNCT
esrj-85531	233	35	2017	2017	NUM
esrj-85531	233	36	)	)	PUNCT
esrj-85531	233	37	.	.	PUNCT
esrj-85531	234	1	geological	geological	ADJ
esrj-85531	234	2	disasters	disaster	NOUN
esrj-85531	234	3	and	and	CCONJ
esrj-85531	234	4	control	control	NOUN
esrj-85531	234	5	technology	technology	NOUN
esrj-85531	234	6	in	in	ADP
esrj-85531	234	7	high	high	ADJ
esrj-85531	234	8	intensity	intensity	NOUN
esrj-85531	234	9	mining	mining	NOUN
esrj-85531	234	10	area	area	NOUN
esrj-85531	234	11	of	of	ADP
esrj-85531	234	12	western	western	ADJ
esrj-85531	234	13	china	china	PROPN
esrj-85531	234	14	.	.	PUNCT
esrj-85531	235	1	journal	journal	PROPN
esrj-85531	235	2	of	of	ADP
esrj-85531	235	3	china	china	PROPN
esrj-85531	235	4	coal	coal	PROPN
esrj-85531	235	5	society	society	PROPN
esrj-85531	235	6	,	,	PUNCT
esrj-85531	235	7	42(2	42(2	NOUN
esrj-85531	235	8	)	)	PUNCT
esrj-85531	235	9	,	,	PUNCT
esrj-85531	235	10	276	276	NUM
esrj-85531	235	11	-	-	SYM
esrj-85531	235	12	285	285	NUM
esrj-85531	235	13	.	.	PUNCT
esrj-85531	236	1	gao	gao	PROPN
esrj-85531	236	2	,	,	PUNCT
esrj-85531	236	3	b.	b.	PROPN
esrj-85531	236	4	,	,	PUNCT
esrj-85531	236	5	lu	lu	PROPN
esrj-85531	236	6	,	,	PUNCT
esrj-85531	236	7	a.	a.	PROPN
esrj-85531	236	8	,	,	PUNCT
esrj-85531	236	9	pan	pan	PROPN
esrj-85531	236	10	,	,	PUNCT
esrj-85531	236	11	y.	y.	PROPN
esrj-85531	236	12	,	,	PUNCT
esrj-85531	236	13	huo	huo	PROPN
esrj-85531	236	14	,	,	PUNCT
esrj-85531	236	15	l.	l.	PROPN
esrj-85531	236	16	,	,	PUNCT
esrj-85531	236	17	yunbing	yunbing	NOUN
esrj-85531	236	18	,	,	PUNCT
esrj-85531	236	19	g.	g.	PROPN
esrj-85531	236	20	,	,	PUNCT
esrj-85531	236	21	li	li	PROPN
esrj-85531	236	22	,	,	PUNCT
esrj-85531	236	23	x.	x.	PROPN
esrj-85531	236	24	,	,	PUNCT
esrj-85531	236	25	li	li	PROPN
esrj-85531	236	26	,	,	PUNCT
esrj-85531	236	27	s.	s.	PROPN
esrj-85531	236	28	,	,	PUNCT
esrj-85531	236	29	&	&	CCONJ
esrj-85531	236	30	chen	chen	PROPN
esrj-85531	236	31	,	,	PUNCT
esrj-85531	236	32	z.	z.	PROPN
esrj-85531	236	33	(	(	PUNCT
esrj-85531	236	34	2017	2017	NUM
esrj-85531	236	35	)	)	PUNCT
esrj-85531	236	36	.	.	PUNCT
esrj-85531	237	1	additional	additional	ADJ
esrj-85531	237	2	sampling	sampling	NOUN
esrj-85531	237	3	layout	layout	NOUN
esrj-85531	237	4	optimization	optimization	NOUN
esrj-85531	237	5	method	method	NOUN
esrj-85531	237	6	for	for	ADP
esrj-85531	237	7	environmental	environmental	ADJ
esrj-85531	237	8	quality	quality	NOUN
esrj-85531	237	9	grade	grade	NOUN
esrj-85531	237	10	classifications	classification	NOUN
esrj-85531	237	11	of	of	ADP
esrj-85531	237	12	farmland	farmland	NOUN
esrj-85531	237	13	soil	soil	NOUN
esrj-85531	237	14	.	.	PUNCT
esrj-85531	238	1	ieee	ieee	PROPN
esrj-85531	238	2	journal	journal	PROPN
esrj-85531	238	3	of	of	ADP
esrj-85531	238	4	selected	select	VERB
esrj-85531	238	5	topics	topic	NOUN
esrj-85531	238	6	in	in	ADP
esrj-85531	238	7	applied	applied	ADJ
esrj-85531	238	8	earth	earth	NOUN
esrj-85531	238	9	observations	observation	NOUN
esrj-85531	238	10	&	&	CCONJ
esrj-85531	238	11	remote	remote	ADJ
esrj-85531	238	12	sensing	sensing	NOUN
esrj-85531	238	13	,	,	PUNCT
esrj-85531	238	14	7(99	7(99	NUM
esrj-85531	238	15	)	)	PUNCT
esrj-85531	238	16	,	,	PUNCT
esrj-85531	238	17	1	1	NUM
esrj-85531	238	18	-	-	SYM
esrj-85531	238	19	9	9	NUM
esrj-85531	238	20	.	.	PUNCT
esrj-85531	239	1	gorji	gorji	NOUN
esrj-85531	239	2	,	,	PUNCT
esrj-85531	239	3	t.	t.	NOUN
esrj-85531	239	4	,	,	PUNCT
esrj-85531	239	5	sertel	sertel	NOUN
esrj-85531	239	6	,	,	PUNCT
esrj-85531	239	7	e.	e.	PROPN
esrj-85531	239	8	,	,	PUNCT
esrj-85531	239	9	&	&	CCONJ
esrj-85531	239	10	tanik	tanik	PROPN
esrj-85531	239	11	,	,	PUNCT
esrj-85531	239	12	a.	a.	NOUN
esrj-85531	239	13	(	(	PUNCT
esrj-85531	239	14	2017	2017	NUM
esrj-85531	239	15	)	)	PUNCT
esrj-85531	239	16	.	.	PUNCT
esrj-85531	240	1	monitoring	monitor	VERB
esrj-85531	240	2	soil	soil	NOUN
esrj-85531	240	3	salinity	salinity	NOUN
esrj-85531	240	4	via	via	ADP
esrj-85531	240	5	remote	remote	ADJ
esrj-85531	240	6	sensing	sense	VERB
esrj-85531	240	7	technology	technology	NOUN
esrj-85531	240	8	under	under	ADP
esrj-85531	240	9	data	datum	NOUN
esrj-85531	240	10	scarce	scarce	ADJ
esrj-85531	240	11	conditions	condition	NOUN
esrj-85531	240	12	:	:	PUNCT
esrj-85531	240	13	a	a	DET
esrj-85531	240	14	case	case	NOUN
esrj-85531	240	15	study	study	NOUN
esrj-85531	240	16	from	from	ADP
esrj-85531	240	17	turkey	turkey	PROPN
esrj-85531	240	18	.	.	PUNCT
esrj-85531	241	1	ecological	ecological	ADJ
esrj-85531	241	2	indicators	indicator	NOUN
esrj-85531	241	3	,	,	PUNCT
esrj-85531	241	4	74:384	74:384	NUM
esrj-85531	241	5	-	-	SYM
esrj-85531	241	6	391	391	NUM
esrj-85531	241	7	.	.	PUNCT
esrj-85531	242	1	lengyel	lengyel	PROPN
esrj-85531	242	2	,	,	PUNCT
esrj-85531	242	3	s.	s.	PROPN
esrj-85531	242	4	,	,	PUNCT
esrj-85531	242	5	kosztyi	kosztyi	PROPN
esrj-85531	242	6	,	,	PUNCT
esrj-85531	242	7	b.	b.	PROPN
esrj-85531	242	8	,	,	PUNCT
esrj-85531	242	9	schmeller	schmeller	NOUN
esrj-85531	242	10	,	,	PUNCT
esrj-85531	242	11	d.	d.	PROPN
esrj-85531	242	12	s.	s.	PROPN
esrj-85531	242	13	,	,	PUNCT
esrj-85531	242	14	henry	henry	PROPN
esrj-85531	242	15	,	,	PUNCT
esrj-85531	242	16	p.	p.	PROPN
esrj-85531	242	17	y.	y.	PROPN
esrj-85531	242	18	,	,	PUNCT
esrj-85531	242	19	kotarac	kotarac	PROPN
esrj-85531	242	20	,	,	PUNCT
esrj-85531	242	21	m.	m.	NOUN
esrj-85531	242	22	,	,	PUNCT
esrj-85531	242	23	lin	lin	PROPN
esrj-85531	242	24	,	,	PUNCT
esrj-85531	242	25	y.	y.	PROPN
esrj-85531	242	26	p.	p.	PROPN
esrj-85531	242	27	,	,	PUNCT
esrj-85531	242	28	&	&	CCONJ
esrj-85531	242	29	henle	henle	PROPN
esrj-85531	242	30	,	,	PUNCT
esrj-85531	242	31	k.	k.	PROPN
esrj-85531	242	32	evaluating	evaluating	NOUN
esrj-85531	242	33	and	and	CCONJ
esrj-85531	242	34	benchmarking	benchmarke	VERB
esrj-85531	242	35	biodiversity	biodiversity	NOUN
esrj-85531	242	36	monitoring	monitoring	NOUN
esrj-85531	242	37	:	:	PUNCT
esrj-85531	242	38	metadata	metadata	NOUN
esrj-85531	242	39	-	-	PUNCT
esrj-85531	242	40	based	base	VERB
esrj-85531	242	41	indicators	indicator	NOUN
esrj-85531	242	42	for	for	ADP
esrj-85531	242	43	sampling	sample	VERB
esrj-85531	242	44	design	design	NOUN
esrj-85531	242	45	,	,	PUNCT
esrj-85531	242	46	sampling	sample	VERB
esrj-85531	242	47	effort	effort	NOUN
esrj-85531	242	48	and	and	CCONJ
esrj-85531	242	49	data	datum	NOUN
esrj-85531	242	50	analysis	analysis	NOUN
esrj-85531	242	51	.	.	PUNCT
esrj-85531	243	1	ecological	ecological	ADJ
esrj-85531	243	2	indicators	indicator	NOUN
esrj-85531	243	3	,	,	PUNCT
esrj-85531	243	4	85	85	NUM
esrj-85531	243	5	,	,	PUNCT
esrj-85531	243	6	624	624	NUM
esrj-85531	243	7	-	-	SYM
esrj-85531	243	8	633	633	NUM
esrj-85531	243	9	.	.	PUNCT
esrj-85531	244	1	silva	silva	PROPN
esrj-85531	244	2	,	,	PUNCT
esrj-85531	244	3	a.	a.	NOUN
esrj-85531	244	4	m.	m.	NOUN
esrj-85531	244	5	,	,	PUNCT
esrj-85531	244	6	abessa	abessa	PROPN
esrj-85531	244	7	,	,	PUNCT
esrj-85531	244	8	d.	d.	PROPN
esrj-85531	244	9	p.	p.	PROPN
esrj-85531	244	10	,	,	PUNCT
esrj-85531	244	11	zaitune	zaitune	PROPN
esrj-85531	244	12	,	,	PUNCT
esrj-85531	244	13	p.	p.	NOUN
esrj-85531	244	14	a.	a.	NOUN
esrj-85531	244	15	,	,	PUNCT
esrj-85531	244	16	bohrer	bohrer	NOUN
esrj-85531	244	17	-	-	PUNCT
esrj-85531	244	18	morel	morel	NOUN
esrj-85531	244	19	,	,	PUNCT
esrj-85531	244	20	m.	m.	NOUN
esrj-85531	244	21	b.	b.	PROPN
esrj-85531	244	22	(	(	PUNCT
esrj-85531	244	23	2017	2017	NUM
esrj-85531	244	24	)	)	PUNCT
esrj-85531	244	25	.	.	PUNCT
esrj-85531	245	1	ecological	ecological	ADJ
esrj-85531	245	2	risk	risk	NOUN
esrj-85531	245	3	assessment	assessment	NOUN
esrj-85531	245	4	of	of	ADP
esrj-85531	245	5	a	a	DET
esrj-85531	245	6	subtropical	subtropical	ADJ
esrj-85531	245	7	river	river	NOUN
esrj-85531	245	8	influenced	influence	VERB
esrj-85531	245	9	by	by	ADP
esrj-85531	245	10	discharges	discharge	NOUN
esrj-85531	245	11	of	of	ADP
esrj-85531	245	12	residues	residue	NOUN
esrj-85531	245	13	from	from	ADP
esrj-85531	245	14	water	water	NOUN
esrj-85531	245	15	and	and	CCONJ
esrj-85531	245	16	sewage	sewage	NOUN
esrj-85531	245	17	treatment	treatment	NOUN
esrj-85531	245	18	plants	plant	NOUN
esrj-85531	245	19	.	.	PUNCT
esrj-85531	246	1	management	management	NOUN
esrj-85531	246	2	of	of	ADP
esrj-85531	246	3	environmental	environmental	ADJ
esrj-85531	246	4	quality	quality	NOUN
esrj-85531	246	5	an	an	DET
esrj-85531	246	6	international	international	ADJ
esrj-85531	246	7	journal	journal	NOUN
esrj-85531	246	8	,	,	PUNCT
esrj-85531	246	9	28(2	28(2	NUM
esrj-85531	246	10	)	)	PUNCT
esrj-85531	246	11	,	,	PUNCT
esrj-85531	246	12	156	156	NUM
esrj-85531	246	13	-	-	SYM
esrj-85531	246	14	174	174	NUM
esrj-85531	246	15	.	.	PUNCT
esrj-85531	247	1	sürme	sürme	NOUN
esrj-85531	247	2	,	,	PUNCT
esrj-85531	247	3	y.	y.	PROPN
esrj-85531	247	4	,	,	PUNCT
esrj-85531	247	5	bişgin	bişgin	ADV
esrj-85531	247	6	,	,	PUNCT
esrj-85531	247	7	a.	a.	NOUN
esrj-85531	247	8	t.	t.	PROPN
esrj-85531	247	9	,	,	PUNCT
esrj-85531	247	10	uçan	uçan	NOUN
esrj-85531	247	11	,	,	PUNCT
esrj-85531	247	12	m.	m.	NOUN
esrj-85531	247	13	,	,	PUNCT
esrj-85531	247	14	&	&	CCONJ
esrj-85531	247	15	narin	narin	PROPN
esrj-85531	247	16	,	,	PUNCT
esrj-85531	247	17	i.	i.	PROPN
esrj-85531	247	18	(	(	PUNCT
esrj-85531	247	19	2018	2018	NUM
esrj-85531	247	20	)	)	PUNCT
esrj-85531	247	21	.	.	PUNCT
esrj-85531	248	1	cloud	cloud	NOUN
esrj-85531	248	2	point	point	NOUN
esrj-85531	248	3	extraction	extraction	NOUN
esrj-85531	248	4	and	and	CCONJ
esrj-85531	248	5	flame	flame	NOUN
esrj-85531	248	6	atomic	atomic	ADJ
esrj-85531	248	7	absorption	absorption	NOUN
esrj-85531	248	8	spectrometric	spectrometric	ADJ
esrj-85531	248	9	determination	determination	NOUN
esrj-85531	248	10	of	of	ADP
esrj-85531	248	11	cd(ii	cd(ii	NOUN
esrj-85531	248	12	)	)	PUNCT
esrj-85531	248	13	in	in	ADP
esrj-85531	248	14	industrial	industrial	ADJ
esrj-85531	248	15	and	and	CCONJ
esrj-85531	248	16	environmental	environmental	ADJ
esrj-85531	248	17	samples	sample	NOUN
esrj-85531	248	18	.	.	PUNCT
esrj-85531	249	1	journal	journal	NOUN
esrj-85531	249	2	of	of	ADP
esrj-85531	249	3	analytical	analytical	ADJ
esrj-85531	249	4	chemistry	chemistry	NOUN
esrj-85531	249	5	,	,	PUNCT
esrj-85531	249	6	73(2	73(2	NUM
esrj-85531	249	7	)	)	PUNCT
esrj-85531	249	8	,	,	PUNCT
esrj-85531	249	9	140	140	NUM
esrj-85531	249	10	-	-	SYM
esrj-85531	249	11	144	144	NUM
esrj-85531	249	12	.	.	PUNCT
esrj-85531	249	13	yavad	yavad	PROPN
esrj-85531	249	14	,	,	PUNCT
esrj-85531	249	15	k.	k.	PROPN
esrj-85531	249	16	,	,	PUNCT
esrj-85531	249	17	&	&	CCONJ
esrj-85531	249	18	congalton	congalton	PROPN
esrj-85531	249	19	,	,	PUNCT
esrj-85531	249	20	r.	r.	PROPN
esrj-85531	249	21	(	(	PUNCT
esrj-85531	249	22	2017	2017	NUM
esrj-85531	249	23	)	)	PUNCT
esrj-85531	249	24	.	.	PUNCT
esrj-85531	250	1	issues	issue	NOUN
esrj-85531	250	2	with	with	ADP
esrj-85531	250	3	large	large	ADJ
esrj-85531	250	4	area	area	NOUN
esrj-85531	250	5	thematic	thematic	ADJ
esrj-85531	250	6	accuracy	accuracy	NOUN
esrj-85531	250	7	assessment	assessment	NOUN
esrj-85531	250	8	for	for	ADP
esrj-85531	250	9	mapping	map	VERB
esrj-85531	250	10	cropland	cropland	NOUN
esrj-85531	250	11	extent	extent	NOUN
esrj-85531	250	12	:	:	PUNCT
esrj-85531	250	13	a	a	DET
esrj-85531	250	14	tale	tale	NOUN
esrj-85531	250	15	of	of	ADP
esrj-85531	250	16	three	three	NUM
esrj-85531	250	17	continents	continent	NOUN
esrj-85531	250	18	.	.	PUNCT
esrj-85531	251	1	remote	remote	ADJ
esrj-85531	251	2	sensing	sensing	NOUN
esrj-85531	251	3	,	,	PUNCT
esrj-85531	251	4	10(2	10(2	NUM
esrj-85531	251	5	)	)	PUNCT
esrj-85531	251	6	,	,	PUNCT
esrj-85531	251	7	53	53	NUM
esrj-85531	251	8	-	-	SYM
esrj-85531	251	9	57	57	NUM
esrj-85531	251	10	.	.	PUNCT