id	sid	tid	token	lemma	pos
fcis-9478	1	1	frontiers	frontier	NOUN
fcis-9478	1	2	in	in	ADP
fcis-9478	1	3	computing	computing	NOUN
fcis-9478	1	4	and	and	CCONJ
fcis-9478	1	5	intelligent	intelligent	ADJ
fcis-9478	1	6	systems	system	NOUN
fcis-9478	1	7	issn	issn	VERB
fcis-9478	1	8	:	:	PUNCT
fcis-9478	1	9	2832	2832	NUM
fcis-9478	1	10	-	-	SYM
fcis-9478	1	11	6024	6024	NUM
fcis-9478	1	12	|	|	NOUN
fcis-9478	1	13	vol	vol	NOUN
fcis-9478	1	14	.	.	PROPN
fcis-9478	2	1	4	4	NUM
fcis-9478	2	2	,	,	PUNCT
fcis-9478	2	3	no	no	INTJ
fcis-9478	2	4	.	.	NOUN
fcis-9478	2	5	1	1	NUM
fcis-9478	2	6	,	,	PUNCT
fcis-9478	2	7	2023	2023	NUM
fcis-9478	2	8	102	102	NUM
fcis-9478	2	9	research	research	NOUN
fcis-9478	2	10	on	on	ADP
fcis-9478	2	11	water	water	NOUN
fcis-9478	2	12	extraction	extraction	NOUN
fcis-9478	2	13	from	from	ADP
fcis-9478	2	14	remote	remote	ADJ
fcis-9478	2	15	sensing	sensing	NOUN
fcis-9478	2	16	images	image	NOUN
fcis-9478	2	17	based	base	VERB
fcis-9478	2	18	on	on	ADP
fcis-9478	2	19	ada	ada	PROPN
fcis-9478	2	20	boost	boost	PROPN
fcis-9478	2	21	algorithm	algorithm	PROPN
fcis-9478	2	22	dan	dan	PROPN
fcis-9478	2	23	wu	wu	PROPN
fcis-9478	2	24	1	1	NUM
fcis-9478	2	25	,	,	PUNCT
fcis-9478	2	26	2	2	NUM
fcis-9478	2	27	,	,	PUNCT
fcis-9478	2	28	3	3	NUM
fcis-9478	2	29	,	,	PUNCT
fcis-9478	2	30	4	4	NUM
fcis-9478	2	31	,	,	PUNCT
fcis-9478	2	32	shenglan	shenglan	VERB
fcis-9478	2	33	ye	ye	NOUN
fcis-9478	2	34	1	1	NUM
fcis-9478	2	35	,	,	PUNCT
fcis-9478	2	36	2	2	NUM
fcis-9478	2	37	,	,	PUNCT
fcis-9478	2	38	3	3	NUM
fcis-9478	2	39	,	,	PUNCT
fcis-9478	2	40	4	4	NUM
fcis-9478	2	41	1	1	NUM
fcis-9478	2	42	institute	institute	NOUN
fcis-9478	2	43	of	of	ADP
fcis-9478	2	44	land	land	NOUN
fcis-9478	2	45	engineering	engineering	NOUN
fcis-9478	2	46	and	and	CCONJ
fcis-9478	2	47	technology	technology	NOUN
fcis-9478	2	48	,	,	PUNCT
fcis-9478	2	49	shaanxi	shaanxi	PROPN
fcis-9478	2	50	provincial	provincial	ADJ
fcis-9478	2	51	land	land	NOUN
fcis-9478	2	52	engineering	engineering	NOUN
fcis-9478	2	53	construction	construction	PROPN
fcis-9478	2	54	group	group	PROPN
fcis-9478	2	55	co.	co.	PROPN
fcis-9478	2	56	,	,	PUNCT
fcis-9478	2	57	ltd	ltd	PROPN
fcis-9478	2	58	,	,	PUNCT
fcis-9478	2	59	xi'an	xi'an	PROPN
fcis-9478	2	60	710075	710075	NUM
fcis-9478	2	61	,	,	PUNCT
fcis-9478	2	62	china	china	PROPN
fcis-9478	2	63	2	2	NUM
fcis-9478	2	64	shaanxi	shaanxi	PROPN
fcis-9478	2	65	provincial	provincial	ADJ
fcis-9478	2	66	land	land	NOUN
fcis-9478	2	67	engineering	engineering	NOUN
fcis-9478	2	68	construction	construction	PROPN
fcis-9478	2	69	group	group	PROPN
fcis-9478	2	70	co.	co.	PROPN
fcis-9478	2	71	,	,	PUNCT
fcis-9478	2	72	ltd	ltd	PROPN
fcis-9478	2	73	,	,	PUNCT
fcis-9478	2	74	xi'an	xi'an	PROPN
fcis-9478	2	75	710075	710075	NUM
fcis-9478	2	76	,	,	PUNCT
fcis-9478	2	77	china	china	PROPN
fcis-9478	2	78	3	3	NUM
fcis-9478	2	79	key	key	ADJ
fcis-9478	2	80	laboratory	laboratory	NOUN
fcis-9478	2	81	of	of	ADP
fcis-9478	2	82	degraded	degraded	ADJ
fcis-9478	2	83	and	and	CCONJ
fcis-9478	2	84	unused	unused	ADJ
fcis-9478	2	85	land	land	NOUN
fcis-9478	2	86	consolidation	consolidation	NOUN
fcis-9478	2	87	engineering	engineering	NOUN
fcis-9478	2	88	,	,	PUNCT
fcis-9478	2	89	the	the	DET
fcis-9478	2	90	ministry	ministry	PROPN
fcis-9478	2	91	of	of	ADP
fcis-9478	2	92	natural	natural	ADJ
fcis-9478	2	93	resources	resource	NOUN
fcis-9478	2	94	,	,	PUNCT
fcis-9478	2	95	xi'an	xi'an	PROPN
fcis-9478	2	96	710075	710075	NUM
fcis-9478	2	97	,	,	PUNCT
fcis-9478	2	98	china	china	PROPN
fcis-9478	2	99	4	4	NUM
fcis-9478	2	100	shaanxi	shaanxi	PROPN
fcis-9478	2	101	provincial	provincial	ADJ
fcis-9478	2	102	land	land	NOUN
fcis-9478	2	103	consolidation	consolidation	NOUN
fcis-9478	2	104	engineering	engineering	NOUN
fcis-9478	2	105	technology	technology	NOUN
fcis-9478	2	106	research	research	NOUN
fcis-9478	2	107	center	center	NOUN
fcis-9478	2	108	,	,	PUNCT
fcis-9478	2	109	xi'an	xi'an	PROPN
fcis-9478	2	110	710075	710075	NUM
fcis-9478	2	111	,	,	PUNCT
fcis-9478	2	112	china	china	PROPN
fcis-9478	2	113	abstract	abstract	PROPN
fcis-9478	2	114	:	:	PUNCT
fcis-9478	2	115	the	the	DET
fcis-9478	2	116	extraction	extraction	NOUN
fcis-9478	2	117	of	of	ADP
fcis-9478	2	118	water	water	NOUN
fcis-9478	2	119	in	in	ADP
fcis-9478	2	120	remote	remote	ADJ
fcis-9478	2	121	sensing	sense	VERB
fcis-9478	2	122	image	image	NOUN
fcis-9478	2	123	is	be	AUX
fcis-9478	2	124	a	a	DET
fcis-9478	2	125	key	key	ADJ
fcis-9478	2	126	step	step	NOUN
fcis-9478	2	127	in	in	ADP
fcis-9478	2	128	the	the	DET
fcis-9478	2	129	application	application	NOUN
fcis-9478	2	130	of	of	ADP
fcis-9478	2	131	remote	remote	ADJ
fcis-9478	2	132	sensing	sense	VERB
fcis-9478	2	133	image	image	NOUN
fcis-9478	2	134	.	.	PUNCT
fcis-9478	3	1	aiming	aim	VERB
fcis-9478	3	2	at	at	ADP
fcis-9478	3	3	the	the	DET
fcis-9478	3	4	existing	exist	VERB
fcis-9478	3	5	problems	problem	NOUN
fcis-9478	3	6	in	in	ADP
fcis-9478	3	7	remote	remote	ADJ
fcis-9478	3	8	sensing	sense	VERB
fcis-9478	3	9	image	image	NOUN
fcis-9478	3	10	water	water	NOUN
fcis-9478	3	11	extraction	extraction	NOUN
fcis-9478	3	12	,	,	PUNCT
fcis-9478	3	13	a	a	DET
fcis-9478	3	14	water	water	NOUN
fcis-9478	3	15	extraction	extraction	NOUN
fcis-9478	3	16	method	method	NOUN
fcis-9478	3	17	based	base	VERB
fcis-9478	3	18	on	on	ADP
fcis-9478	3	19	ada	ada	PROPN
fcis-9478	3	20	boost	boost	PROPN
fcis-9478	3	21	algorithm	algorithm	NOUN
fcis-9478	3	22	is	be	AUX
fcis-9478	3	23	proposed	propose	VERB
fcis-9478	3	24	.	.	PUNCT
fcis-9478	4	1	in	in	ADP
fcis-9478	4	2	this	this	DET
fcis-9478	4	3	method	method	NOUN
fcis-9478	4	4	,	,	PUNCT
fcis-9478	4	5	multiple	multiple	ADJ
fcis-9478	4	6	thresholds	threshold	NOUN
fcis-9478	4	7	are	be	AUX
fcis-9478	4	8	set	set	VERB
fcis-9478	4	9	for	for	ADP
fcis-9478	4	10	image	image	NOUN
fcis-9478	4	11	segmentation	segmentation	NOUN
fcis-9478	4	12	,	,	PUNCT
fcis-9478	4	13	and	and	CCONJ
fcis-9478	4	14	the	the	DET
fcis-9478	4	15	results	result	NOUN
fcis-9478	4	16	are	be	AUX
fcis-9478	4	17	voted	vote	VERB
fcis-9478	4	18	,	,	PUNCT
fcis-9478	4	19	and	and	CCONJ
fcis-9478	4	20	finally	finally	ADV
fcis-9478	4	21	the	the	DET
fcis-9478	4	22	water	water	NOUN
fcis-9478	4	23	extraction	extraction	NOUN
fcis-9478	4	24	results	result	NOUN
fcis-9478	4	25	are	be	AUX
fcis-9478	4	26	obtained	obtain	VERB
fcis-9478	4	27	.	.	PUNCT
fcis-9478	5	1	using	use	VERB
fcis-9478	5	2	the	the	DET
fcis-9478	5	3	threshold	threshold	NOUN
fcis-9478	5	4	value	value	NOUN
fcis-9478	5	5	of	of	ADP
fcis-9478	5	6	7	7	NUM
fcis-9478	5	7	algorithms	algorithm	NOUN
fcis-9478	5	8	to	to	PART
fcis-9478	5	9	synthesize	synthesize	VERB
fcis-9478	5	10	,	,	PUNCT
fcis-9478	5	11	using	use	VERB
fcis-9478	5	12	the	the	DET
fcis-9478	5	13	ada	ada	PROPN
fcis-9478	5	14	boost	boost	NOUN
fcis-9478	5	15	algorithm	algorithm	NOUN
fcis-9478	5	16	,	,	PUNCT
fcis-9478	5	17	the	the	DET
fcis-9478	5	18	advantages	advantage	NOUN
fcis-9478	5	19	and	and	CCONJ
fcis-9478	5	20	disadvantages	disadvantage	NOUN
fcis-9478	5	21	of	of	ADP
fcis-9478	5	22	each	each	DET
fcis-9478	5	23	algorithm	algorithm	NOUN
fcis-9478	5	24	are	be	AUX
fcis-9478	5	25	analyzed	analyze	VERB
fcis-9478	5	26	and	and	CCONJ
fcis-9478	5	27	compared	compare	VERB
fcis-9478	5	28	.	.	PUNCT
fcis-9478	6	1	the	the	DET
fcis-9478	6	2	experimental	experimental	ADJ
fcis-9478	6	3	results	result	NOUN
fcis-9478	6	4	show	show	VERB
fcis-9478	6	5	that	that	SCONJ
fcis-9478	6	6	the	the	DET
fcis-9478	6	7	water	water	NOUN
fcis-9478	6	8	body	body	NOUN
fcis-9478	6	9	extracted	extract	VERB
fcis-9478	6	10	by	by	ADP
fcis-9478	6	11	a	a	DET
fcis-9478	6	12	single	single	ADJ
fcis-9478	6	13	method	method	NOUN
fcis-9478	6	14	and	and	CCONJ
fcis-9478	6	15	a	a	DET
fcis-9478	6	16	combination	combination	NOUN
fcis-9478	6	17	of	of	ADP
fcis-9478	6	18	7	7	NUM
fcis-9478	6	19	methods	method	NOUN
fcis-9478	6	20	is	be	AUX
fcis-9478	6	21	not	not	PART
fcis-9478	6	22	ideal	ideal	ADJ
fcis-9478	6	23	,	,	PUNCT
fcis-9478	6	24	but	but	CCONJ
fcis-9478	6	25	the	the	DET
fcis-9478	6	26	water	water	NOUN
fcis-9478	6	27	body	body	NOUN
fcis-9478	6	28	extracted	extract	VERB
fcis-9478	6	29	by	by	ADP
fcis-9478	6	30	a	a	DET
fcis-9478	6	31	combination	combination	NOUN
fcis-9478	6	32	of	of	ADP
fcis-9478	6	33	two	two	NUM
fcis-9478	6	34	,	,	PUNCT
fcis-9478	6	35	three	three	NUM
fcis-9478	6	36	,	,	PUNCT
fcis-9478	6	37	four	four	NUM
fcis-9478	6	38	and	and	CCONJ
fcis-9478	6	39	five	five	NUM
fcis-9478	6	40	methods	method	NOUN
fcis-9478	6	41	is	be	AUX
fcis-9478	6	42	relatively	relatively	ADV
fcis-9478	6	43	good	good	ADJ
fcis-9478	6	44	,	,	PUNCT
fcis-9478	6	45	among	among	ADP
fcis-9478	6	46	which	which	PRON
fcis-9478	6	47	the	the	DET
fcis-9478	6	48	best	good	ADJ
fcis-9478	6	49	effect	effect	NOUN
fcis-9478	6	50	is	be	AUX
fcis-9478	6	51	the	the	DET
fcis-9478	6	52	water	water	NOUN
fcis-9478	6	53	body	body	NOUN
fcis-9478	6	54	extracted	extract	VERB
fcis-9478	6	55	by	by	ADP
fcis-9478	6	56	a	a	DET
fcis-9478	6	57	combination	combination	NOUN
fcis-9478	6	58	of	of	ADP
fcis-9478	6	59	three	three	NUM
fcis-9478	6	60	methods	method	NOUN
fcis-9478	6	61	.	.	PUNCT
fcis-9478	7	1	keywords	keyword	NOUN
fcis-9478	7	2	:	:	PUNCT
fcis-9478	7	3	remote	remote	ADJ
fcis-9478	7	4	sensing	sense	VERB
fcis-9478	7	5	image	image	NOUN
fcis-9478	7	6	;	;	PUNCT
fcis-9478	7	7	ada	ada	PROPN
fcis-9478	7	8	boost	boost	PROPN
fcis-9478	7	9	algorithm	algorithm	NOUN
fcis-9478	7	10	;	;	PUNCT
fcis-9478	7	11	water	water	NOUN
fcis-9478	7	12	extraction	extraction	NOUN
fcis-9478	7	13	.	.	PUNCT
fcis-9478	8	1	1	1	X
fcis-9478	8	2	.	.	X
fcis-9478	8	3	introduction	introduction	NOUN
fcis-9478	8	4	with	with	ADP
fcis-9478	8	5	the	the	DET
fcis-9478	8	6	rapid	rapid	ADJ
fcis-9478	8	7	development	development	NOUN
fcis-9478	8	8	of	of	ADP
fcis-9478	8	9	remote	remote	ADJ
fcis-9478	8	10	sensing	sense	VERB
fcis-9478	8	11	technology	technology	NOUN
fcis-9478	8	12	,	,	PUNCT
fcis-9478	8	13	more	more	ADJ
fcis-9478	8	14	and	and	CCONJ
fcis-9478	8	15	more	more	ADJ
fcis-9478	8	16	scholars	scholar	NOUN
fcis-9478	8	17	begin	begin	VERB
fcis-9478	8	18	to	to	PART
fcis-9478	8	19	pay	pay	VERB
fcis-9478	8	20	attention	attention	NOUN
fcis-9478	8	21	to	to	ADP
fcis-9478	8	22	the	the	DET
fcis-9478	8	23	application	application	NOUN
fcis-9478	8	24	of	of	ADP
fcis-9478	8	25	remote	remote	ADJ
fcis-9478	8	26	sensing	sense	VERB
fcis-9478	8	27	technology	technology	NOUN
fcis-9478	8	28	in	in	ADP
fcis-9478	8	29	geoscience	geoscience	PROPN
fcis-9478	8	30	research	research	NOUN
fcis-9478	8	31	[	[	X
fcis-9478	8	32	1	1	NUM
fcis-9478	8	33	]	]	PUNCT
fcis-9478	8	34	.	.	PUNCT
fcis-9478	9	1	as	as	ADP
fcis-9478	9	2	one	one	NUM
fcis-9478	9	3	of	of	ADP
fcis-9478	9	4	the	the	DET
fcis-9478	9	5	most	most	ADV
fcis-9478	9	6	important	important	ADJ
fcis-9478	9	7	landscape	landscape	NOUN
fcis-9478	9	8	types	type	NOUN
fcis-9478	9	9	on	on	ADP
fcis-9478	9	10	the	the	DET
fcis-9478	9	11	surface	surface	NOUN
fcis-9478	9	12	,	,	PUNCT
fcis-9478	9	13	water	water	NOUN
fcis-9478	9	14	body	body	NOUN
fcis-9478	9	15	plays	play	VERB
fcis-9478	9	16	an	an	DET
fcis-9478	9	17	important	important	ADJ
fcis-9478	9	18	role	role	NOUN
fcis-9478	9	19	in	in	ADP
fcis-9478	9	20	ecological	ecological	ADJ
fcis-9478	9	21	environment	environment	NOUN
fcis-9478	9	22	and	and	CCONJ
fcis-9478	9	23	urban	urban	ADJ
fcis-9478	9	24	planning	planning	NOUN
fcis-9478	9	25	.	.	PUNCT
fcis-9478	10	1	water	water	NOUN
fcis-9478	10	2	extraction	extraction	NOUN
fcis-9478	10	3	from	from	ADP
fcis-9478	10	4	remote	remote	ADJ
fcis-9478	10	5	sensing	sensing	NOUN
fcis-9478	10	6	images	image	NOUN
fcis-9478	10	7	is	be	AUX
fcis-9478	10	8	a	a	DET
fcis-9478	10	9	key	key	ADJ
fcis-9478	10	10	link	link	NOUN
fcis-9478	10	11	in	in	ADP
fcis-9478	10	12	the	the	DET
fcis-9478	10	13	application	application	NOUN
fcis-9478	10	14	of	of	ADP
fcis-9478	10	15	remote	remote	ADJ
fcis-9478	10	16	sensing	sensing	NOUN
fcis-9478	10	17	images	image	NOUN
fcis-9478	10	18	.	.	PUNCT
fcis-9478	11	1	therefore	therefore	ADV
fcis-9478	11	2	,	,	PUNCT
fcis-9478	11	3	water	water	NOUN
fcis-9478	11	4	information	information	NOUN
fcis-9478	11	5	extraction	extraction	NOUN
fcis-9478	11	6	from	from	ADP
fcis-9478	11	7	remote	remote	ADJ
fcis-9478	11	8	sensing	sensing	NOUN
fcis-9478	11	9	images	image	NOUN
fcis-9478	11	10	is	be	AUX
fcis-9478	11	11	a	a	DET
fcis-9478	11	12	hot	hot	ADJ
fcis-9478	11	13	issue	issue	NOUN
fcis-9478	11	14	in	in	ADP
fcis-9478	11	15	the	the	DET
fcis-9478	11	16	research	research	NOUN
fcis-9478	11	17	of	of	ADP
fcis-9478	11	18	remote	remote	ADJ
fcis-9478	11	19	sensing	sense	VERB
fcis-9478	11	20	technology	technology	NOUN
fcis-9478	11	21	[	[	X
fcis-9478	11	22	2,3	2,3	NUM
fcis-9478	11	23	]	]	PUNCT
fcis-9478	11	24	.	.	PUNCT
fcis-9478	12	1	since	since	SCONJ
fcis-9478	12	2	multispectral	multispectral	ADJ
fcis-9478	12	3	remote	remote	ADJ
fcis-9478	12	4	sensing	sensing	NOUN
fcis-9478	12	5	images	image	NOUN
fcis-9478	12	6	have	have	VERB
fcis-9478	12	7	rich	rich	ADJ
fcis-9478	12	8	spectral	spectral	ADJ
fcis-9478	12	9	information	information	NOUN
fcis-9478	12	10	and	and	CCONJ
fcis-9478	12	11	high	high	ADJ
fcis-9478	12	12	spatial	spatial	ADJ
fcis-9478	12	13	resolution	resolution	NOUN
fcis-9478	12	14	,	,	PUNCT
fcis-9478	12	15	it	it	PRON
fcis-9478	12	16	is	be	AUX
fcis-9478	12	17	of	of	ADP
fcis-9478	12	18	great	great	ADJ
fcis-9478	12	19	significance	significance	NOUN
fcis-9478	12	20	to	to	PART
fcis-9478	12	21	use	use	VERB
fcis-9478	12	22	remote	remote	ADJ
fcis-9478	12	23	sensing	sense	VERB
fcis-9478	12	24	image	image	NOUN
fcis-9478	12	25	data	datum	NOUN
fcis-9478	12	26	to	to	PART
fcis-9478	12	27	extract	extract	VERB
fcis-9478	12	28	ground	ground	NOUN
fcis-9478	12	29	object	object	NOUN
fcis-9478	12	30	information	information	NOUN
fcis-9478	12	31	.	.	PUNCT
fcis-9478	13	1	water	water	NOUN
fcis-9478	13	2	bodies	body	NOUN
fcis-9478	13	3	have	have	VERB
fcis-9478	13	4	obvious	obvious	ADJ
fcis-9478	13	5	spectral	spectral	ADJ
fcis-9478	13	6	characteristics	characteristic	NOUN
fcis-9478	13	7	,	,	PUNCT
fcis-9478	13	8	but	but	CCONJ
fcis-9478	13	9	in	in	ADP
fcis-9478	13	10	traditional	traditional	ADJ
fcis-9478	13	11	supervised	supervised	ADJ
fcis-9478	13	12	classification	classification	NOUN
fcis-9478	13	13	methods	method	NOUN
fcis-9478	13	14	,	,	PUNCT
fcis-9478	13	15	it	it	PRON
fcis-9478	13	16	is	be	AUX
fcis-9478	13	17	usually	usually	ADV
fcis-9478	13	18	necessary	necessary	ADJ
fcis-9478	13	19	to	to	PART
fcis-9478	13	20	manually	manually	ADV
fcis-9478	13	21	select	select	VERB
fcis-9478	13	22	various	various	ADJ
fcis-9478	13	23	types	type	NOUN
fcis-9478	13	24	of	of	ADP
fcis-9478	13	25	ground	ground	NOUN
fcis-9478	13	26	objects	object	NOUN
fcis-9478	13	27	to	to	PART
fcis-9478	13	28	train	train	VERB
fcis-9478	13	29	samples	sample	NOUN
fcis-9478	13	30	,	,	PUNCT
fcis-9478	13	31	and	and	CCONJ
fcis-9478	13	32	a	a	DET
fcis-9478	13	33	lot	lot	NOUN
fcis-9478	13	34	of	of	ADP
fcis-9478	13	35	manpower	manpower	NOUN
fcis-9478	13	36	,	,	PUNCT
fcis-9478	13	37	material	material	NOUN
fcis-9478	13	38	and	and	CCONJ
fcis-9478	13	39	financial	financial	ADJ
fcis-9478	13	40	resources	resource	NOUN
fcis-9478	13	41	are	be	AUX
fcis-9478	13	42	needed	need	VERB
fcis-9478	13	43	to	to	PART
fcis-9478	13	44	extract	extract	VERB
fcis-9478	13	45	information	information	NOUN
fcis-9478	13	46	.	.	PUNCT
fcis-9478	14	1	in	in	ADP
fcis-9478	14	2	recent	recent	ADJ
fcis-9478	14	3	decades	decade	NOUN
fcis-9478	14	4	,	,	PUNCT
fcis-9478	14	5	ground	ground	NOUN
fcis-9478	14	6	object	object	NOUN
fcis-9478	14	7	information	information	NOUN
fcis-9478	14	8	extraction	extraction	NOUN
fcis-9478	14	9	based	base	VERB
fcis-9478	14	10	on	on	ADP
fcis-9478	14	11	remote	remote	ADJ
fcis-9478	14	12	sensing	sense	VERB
fcis-9478	14	13	image	image	NOUN
fcis-9478	14	14	data	datum	NOUN
fcis-9478	14	15	has	have	AUX
fcis-9478	14	16	become	become	VERB
fcis-9478	14	17	a	a	DET
fcis-9478	14	18	research	research	NOUN
fcis-9478	14	19	hotspot	hotspot	NOUN
fcis-9478	14	20	.	.	PUNCT
fcis-9478	15	1	most	most	ADJ
fcis-9478	15	2	traditional	traditional	ADJ
fcis-9478	15	3	water	water	NOUN
fcis-9478	15	4	extraction	extraction	NOUN
fcis-9478	15	5	methods	method	NOUN
fcis-9478	15	6	are	be	AUX
fcis-9478	15	7	based	base	VERB
fcis-9478	15	8	on	on	ADP
fcis-9478	15	9	threshold	threshold	NOUN
fcis-9478	15	10	segmentation	segmentation	NOUN
fcis-9478	15	11	[	[	X
fcis-9478	15	12	4	4	NUM
fcis-9478	15	13	]	]	PUNCT
fcis-9478	15	14	.	.	PUNCT
fcis-9478	16	1	threshold	threshold	PROPN
fcis-9478	16	2	segmentation	segmentation	NOUN
fcis-9478	16	3	method	method	NOUN
fcis-9478	16	4	is	be	AUX
fcis-9478	16	5	to	to	PART
fcis-9478	16	6	set	set	VERB
fcis-9478	16	7	multiple	multiple	ADJ
fcis-9478	16	8	thresholds	threshold	NOUN
fcis-9478	16	9	to	to	PART
fcis-9478	16	10	achieve	achieve	VERB
fcis-9478	16	11	image	image	NOUN
fcis-9478	16	12	segmentation	segmentation	NOUN
fcis-9478	16	13	in	in	ADP
fcis-9478	16	14	the	the	DET
fcis-9478	16	15	process	process	NOUN
fcis-9478	16	16	of	of	ADP
fcis-9478	16	17	image	image	NOUN
fcis-9478	16	18	segmentation	segmentation	NOUN
fcis-9478	16	19	.	.	PUNCT
fcis-9478	17	1	by	by	ADP
fcis-9478	17	2	comparing	compare	VERB
fcis-9478	17	3	the	the	DET
fcis-9478	17	4	results	result	NOUN
fcis-9478	17	5	obtained	obtain	VERB
fcis-9478	17	6	under	under	ADP
fcis-9478	17	7	different	different	ADJ
fcis-9478	17	8	thresholds	threshold	NOUN
fcis-9478	17	9	,	,	PUNCT
fcis-9478	17	10	it	it	PRON
fcis-9478	17	11	can	can	AUX
fcis-9478	17	12	be	be	AUX
fcis-9478	17	13	found	find	VERB
fcis-9478	17	14	that	that	SCONJ
fcis-9478	17	15	the	the	DET
fcis-9478	17	16	results	result	NOUN
fcis-9478	17	17	obtained	obtain	VERB
fcis-9478	17	18	by	by	ADP
fcis-9478	17	19	the	the	DET
fcis-9478	17	20	single	single	ADJ
fcis-9478	17	21	threshold	threshold	NOUN
fcis-9478	17	22	segmentation	segmentation	NOUN
fcis-9478	17	23	method	method	NOUN
fcis-9478	17	24	have	have	VERB
fcis-9478	17	25	some	some	DET
fcis-9478	17	26	defects	defect	NOUN
fcis-9478	17	27	.	.	PUNCT
fcis-9478	18	1	however	however	ADV
fcis-9478	18	2	,	,	PUNCT
fcis-9478	18	3	the	the	DET
fcis-9478	18	4	image	image	NOUN
fcis-9478	18	5	segmentation	segmentation	NOUN
fcis-9478	18	6	results	result	NOUN
fcis-9478	18	7	obtained	obtain	VERB
fcis-9478	18	8	after	after	ADP
fcis-9478	18	9	the	the	DET
fcis-9478	18	10	fusion	fusion	NOUN
fcis-9478	18	11	of	of	ADP
fcis-9478	18	12	multiple	multiple	ADJ
fcis-9478	18	13	thresholds	threshold	NOUN
fcis-9478	18	14	can	can	AUX
fcis-9478	18	15	effectively	effectively	ADV
fcis-9478	18	16	solve	solve	VERB
fcis-9478	18	17	the	the	DET
fcis-9478	18	18	defects	defect	NOUN
fcis-9478	18	19	of	of	ADP
fcis-9478	18	20	traditional	traditional	ADJ
fcis-9478	18	21	methods	method	NOUN
fcis-9478	18	22	[	[	X
fcis-9478	18	23	5,6	5,6	NUM
fcis-9478	18	24	]	]	PUNCT
fcis-9478	18	25	.	.	PUNCT
fcis-9478	19	1	at	at	ADP
fcis-9478	19	2	present	present	ADJ
fcis-9478	19	3	,	,	PUNCT
fcis-9478	19	4	water	water	NOUN
fcis-9478	19	5	extraction	extraction	NOUN
fcis-9478	19	6	algorithms	algorithm	NOUN
fcis-9478	19	7	based	base	VERB
fcis-9478	19	8	on	on	ADP
fcis-9478	19	9	machine	machine	NOUN
fcis-9478	19	10	learning	learning	NOUN
fcis-9478	19	11	are	be	AUX
fcis-9478	19	12	increasingly	increasingly	ADV
fcis-9478	19	13	applied	apply	VERB
fcis-9478	19	14	in	in	ADP
fcis-9478	19	15	actual	actual	ADJ
fcis-9478	19	16	production	production	NOUN
fcis-9478	19	17	,	,	PUNCT
fcis-9478	19	18	but	but	CCONJ
fcis-9478	19	19	most	most	ADJ
fcis-9478	19	20	algorithms	algorithm	NOUN
fcis-9478	19	21	require	require	VERB
fcis-9478	19	22	manual	manual	ADJ
fcis-9478	19	23	participation	participation	NOUN
fcis-9478	19	24	,	,	PUNCT
fcis-9478	19	25	which	which	PRON
fcis-9478	19	26	will	will	AUX
fcis-9478	19	27	not	not	PART
fcis-9478	19	28	only	only	ADV
fcis-9478	19	29	increase	increase	VERB
fcis-9478	19	30	the	the	DET
fcis-9478	19	31	running	running	ADJ
fcis-9478	19	32	time	time	NOUN
fcis-9478	19	33	and	and	CCONJ
fcis-9478	19	34	complexity	complexity	NOUN
fcis-9478	19	35	of	of	ADP
fcis-9478	19	36	algorithms	algorithm	NOUN
fcis-9478	19	37	,	,	PUNCT
fcis-9478	19	38	but	but	CCONJ
fcis-9478	19	39	also	also	ADV
fcis-9478	19	40	cause	cause	VERB
fcis-9478	19	41	information	information	NOUN
fcis-9478	19	42	loss	loss	NOUN
fcis-9478	19	43	to	to	ADP
fcis-9478	19	44	a	a	DET
fcis-9478	19	45	certain	certain	ADJ
fcis-9478	19	46	extent	extent	NOUN
fcis-9478	20	1	[	[	X
fcis-9478	20	2	7	7	NUM
fcis-9478	20	3	-	-	SYM
fcis-9478	20	4	9	9	NUM
fcis-9478	20	5	]	]	PUNCT
fcis-9478	20	6	.	.	PUNCT
fcis-9478	21	1	therefore	therefore	ADV
fcis-9478	21	2	,	,	PUNCT
fcis-9478	21	3	in	in	ADP
fcis-9478	21	4	order	order	NOUN
fcis-9478	21	5	to	to	PART
fcis-9478	21	6	reduce	reduce	VERB
fcis-9478	21	7	manual	manual	ADJ
fcis-9478	21	8	participation	participation	NOUN
fcis-9478	21	9	and	and	CCONJ
fcis-9478	21	10	improve	improve	VERB
fcis-9478	21	11	the	the	DET
fcis-9478	21	12	accuracy	accuracy	NOUN
fcis-9478	21	13	of	of	ADP
fcis-9478	21	14	water	water	NOUN
fcis-9478	21	15	extraction	extraction	NOUN
fcis-9478	21	16	,	,	PUNCT
fcis-9478	21	17	this	this	DET
fcis-9478	21	18	paper	paper	NOUN
fcis-9478	21	19	proposes	propose	VERB
fcis-9478	21	20	a	a	DET
fcis-9478	21	21	water	water	NOUN
fcis-9478	21	22	extraction	extraction	NOUN
fcis-9478	21	23	method	method	NOUN
fcis-9478	21	24	based	base	VERB
fcis-9478	21	25	on	on	ADP
fcis-9478	21	26	the	the	DET
fcis-9478	21	27	combination	combination	NOUN
fcis-9478	21	28	of	of	ADP
fcis-9478	21	29	ada	ada	PROPN
fcis-9478	21	30	boost	boost	NOUN
fcis-9478	21	31	algorithm	algorithm	NOUN
fcis-9478	21	32	and	and	CCONJ
fcis-9478	21	33	machine	machine	NOUN
fcis-9478	21	34	learning	learning	NOUN
fcis-9478	21	35	.	.	PUNCT
fcis-9478	22	1	in	in	ADP
fcis-9478	22	2	this	this	DET
fcis-9478	22	3	method	method	NOUN
fcis-9478	22	4	,	,	PUNCT
fcis-9478	22	5	multiple	multiple	ADJ
fcis-9478	22	6	thresholds	threshold	NOUN
fcis-9478	22	7	are	be	AUX
fcis-9478	22	8	set	set	VERB
fcis-9478	22	9	for	for	ADP
fcis-9478	22	10	image	image	NOUN
fcis-9478	22	11	segmentation	segmentation	NOUN
fcis-9478	22	12	,	,	PUNCT
fcis-9478	22	13	and	and	CCONJ
fcis-9478	22	14	the	the	DET
fcis-9478	22	15	results	result	NOUN
fcis-9478	22	16	are	be	AUX
fcis-9478	22	17	voted	vote	VERB
fcis-9478	22	18	to	to	PART
fcis-9478	22	19	get	get	VERB
fcis-9478	22	20	the	the	DET
fcis-9478	22	21	final	final	ADJ
fcis-9478	22	22	result	result	NOUN
fcis-9478	22	23	,	,	PUNCT
fcis-9478	22	24	thus	thus	ADV
fcis-9478	22	25	reducing	reduce	VERB
fcis-9478	22	26	the	the	DET
fcis-9478	22	27	manual	manual	ADJ
fcis-9478	22	28	participation	participation	NOUN
fcis-9478	22	29	and	and	CCONJ
fcis-9478	22	30	improving	improve	VERB
fcis-9478	22	31	the	the	DET
fcis-9478	22	32	accuracy	accuracy	NOUN
fcis-9478	22	33	of	of	ADP
fcis-9478	22	34	water	water	NOUN
fcis-9478	22	35	extraction	extraction	NOUN
fcis-9478	22	36	.	.	PUNCT
fcis-9478	23	1	2	2	X
fcis-9478	23	2	.	.	X
fcis-9478	23	3	data	datum	NOUN
fcis-9478	23	4	source	source	NOUN
fcis-9478	23	5	and	and	CCONJ
fcis-9478	23	6	research	research	NOUN
fcis-9478	23	7	method	method	NOUN
fcis-9478	23	8	2.1	2.1	NUM
fcis-9478	23	9	.	.	PUNCT
fcis-9478	24	1	data	datum	NOUN
fcis-9478	24	2	sources	source	NOUN
fcis-9478	24	3	in	in	ADP
fcis-9478	24	4	order	order	NOUN
fcis-9478	24	5	to	to	PART
fcis-9478	24	6	verify	verify	VERB
fcis-9478	24	7	the	the	DET
fcis-9478	24	8	method	method	NOUN
fcis-9478	24	9	proposed	propose	VERB
fcis-9478	24	10	in	in	ADP
fcis-9478	24	11	this	this	DET
fcis-9478	24	12	paper	paper	NOUN
fcis-9478	24	13	,	,	PUNCT
fcis-9478	24	14	landsat8	landsat8	PROPN
fcis-9478	24	15	oli	oli	NOUN
fcis-9478	24	16	images	image	NOUN
fcis-9478	24	17	of	of	ADP
fcis-9478	24	18	lanzhou	lanzhou	PROPN
fcis-9478	24	19	city	city	PROPN
fcis-9478	24	20	were	be	AUX
fcis-9478	24	21	captured	capture	VERB
fcis-9478	24	22	and	and	CCONJ
fcis-9478	24	23	analyzed	analyze	VERB
fcis-9478	24	24	.	.	PUNCT
fcis-9478	25	1	the	the	DET
fcis-9478	25	2	oli	oli	ADJ
fcis-9478	25	3	land	land	NOUN
fcis-9478	25	4	imager	imager	NOUN
fcis-9478	25	5	consists	consist	VERB
fcis-9478	25	6	of	of	ADP
fcis-9478	25	7	nine	nine	NUM
fcis-9478	25	8	bands	band	NOUN
fcis-9478	25	9	with	with	ADP
fcis-9478	25	10	a	a	DET
fcis-9478	25	11	spatial	spatial	ADJ
fcis-9478	25	12	resolution	resolution	NOUN
fcis-9478	25	13	of	of	ADP
fcis-9478	25	14	30	30	NUM
fcis-9478	25	15	meters	meter	NOUN
fcis-9478	25	16	,	,	PUNCT
fcis-9478	25	17	including	include	VERB
fcis-9478	25	18	a	a	DET
fcis-9478	25	19	panchromatic	panchromatic	ADJ
fcis-9478	25	20	band	band	NOUN
fcis-9478	25	21	of	of	ADP
fcis-9478	25	22	15	15	NUM
fcis-9478	25	23	meters	meter	NOUN
fcis-9478	25	24	.	.	PUNCT
fcis-9478	26	1	oli	oli	ADJ
fcis-9478	26	2	panchromatic	panchromatic	ADJ
fcis-9478	26	3	band	band	NOUN
fcis-9478	26	4	band8	band8	NOUN
fcis-9478	26	5	has	have	VERB
fcis-9478	26	6	a	a	DET
fcis-9478	26	7	narrow	narrow	ADJ
fcis-9478	26	8	range	range	NOUN
fcis-9478	26	9	,	,	PUNCT
fcis-9478	26	10	which	which	PRON
fcis-9478	26	11	can	can	AUX
fcis-9478	26	12	better	well	ADV
fcis-9478	26	13	distinguish	distinguish	VERB
fcis-9478	26	14	vegetation	vegetation	NOUN
fcis-9478	26	15	and	and	CCONJ
fcis-9478	26	16	non	non	ADJ
fcis-9478	26	17	-	-	ADJ
fcis-9478	26	18	vegetation	vegetation	ADJ
fcis-9478	26	19	features	feature	NOUN
fcis-9478	26	20	in	in	ADP
fcis-9478	26	21	panchromatic	panchromatic	ADJ
fcis-9478	26	22	images	image	NOUN
fcis-9478	26	23	.	.	PUNCT
fcis-9478	27	1	in	in	ADP
fcis-9478	27	2	addition	addition	NOUN
fcis-9478	27	3	,	,	PUNCT
fcis-9478	27	4	there	there	PRON
fcis-9478	27	5	are	be	VERB
fcis-9478	27	6	two	two	NUM
fcis-9478	27	7	new	new	ADJ
fcis-9478	27	8	bands	band	NOUN
fcis-9478	27	9	:	:	PUNCT
fcis-9478	27	10	the	the	DET
fcis-9478	27	11	blue	blue	ADJ
fcis-9478	27	12	band	band	NOUN
fcis-9478	27	13	(	(	PUNCT
fcis-9478	27	14	band	band	NOUN
fcis-9478	27	15	1	1	NUM
fcis-9478	27	16	;	;	PUNCT
fcis-9478	27	17	0.4330.453μm	0.4330.453μm	NUM
fcis-9478	27	18	)	)	PUNCT
fcis-9478	27	19	mainly	mainly	ADV
fcis-9478	27	20	used	use	VERB
fcis-9478	27	21	in	in	ADP
fcis-9478	27	22	coastal	coastal	ADJ
fcis-9478	27	23	zone	zone	NOUN
fcis-9478	27	24	observation	observation	NOUN
fcis-9478	27	25	,	,	PUNCT
fcis-9478	27	26	shortwave	shortwave	NOUN
fcis-9478	27	27	infrared	infrared	ADJ
fcis-9478	27	28	band	band	NOUN
fcis-9478	27	29	(	(	PUNCT
fcis-9478	27	30	band	band	NOUN
fcis-9478	27	31	9	9	NUM
fcis-9478	27	32	;	;	PUNCT
fcis-9478	27	33	1.360	1.360	NUM
fcis-9478	27	34	-	-	SYM
fcis-9478	27	35	1.390	1.390	NUM
fcis-9478	27	36	μm	μm	NOUN
fcis-9478	27	37	)	)	PUNCT
fcis-9478	27	38	including	include	VERB
fcis-9478	27	39	strong	strong	ADJ
fcis-9478	27	40	water	water	NOUN
fcis-9478	27	41	vapor	vapor	NOUN
fcis-9478	27	42	absorption	absorption	NOUN
fcis-9478	27	43	characteristics	characteristic	NOUN
fcis-9478	27	44	can	can	AUX
fcis-9478	27	45	be	be	AUX
fcis-9478	27	46	used	use	VERB
fcis-9478	27	47	for	for	ADP
fcis-9478	27	48	cloud	cloud	ADJ
fcis-9478	27	49	detection	detection	NOUN
fcis-9478	27	50	;	;	PUNCT
fcis-9478	27	51	near	near	ADP
fcis-9478	27	52	infrared	infrared	PROPN
fcis-9478	27	53	band5	band5	PROPN
fcis-9478	27	54	and	and	CCONJ
fcis-9478	27	55	short	short	ADJ
fcis-9478	27	56	wave	wave	NOUN
fcis-9478	27	57	infrared	infrare	VERB
fcis-9478	27	58	band9	band9	NOUN
fcis-9478	27	59	are	be	AUX
fcis-9478	27	60	close	close	ADJ
fcis-9478	27	61	to	to	ADP
fcis-9478	27	62	the	the	DET
fcis-9478	27	63	corresponding	correspond	VERB
fcis-9478	27	64	bands	band	NOUN
fcis-9478	27	65	of	of	ADP
fcis-9478	27	66	modis	modis	PROPN
fcis-9478	27	67	.	.	PUNCT
fcis-9478	28	1	because	because	SCONJ
fcis-9478	28	2	the	the	DET
fcis-9478	28	3	acquisition	acquisition	NOUN
fcis-9478	28	4	of	of	ADP
fcis-9478	28	5	remote	remote	ADJ
fcis-9478	28	6	sensing	sense	VERB
fcis-9478	28	7	image	image	NOUN
fcis-9478	28	8	is	be	AUX
fcis-9478	28	9	affected	affect	VERB
fcis-9478	28	10	by	by	ADP
fcis-9478	28	11	many	many	ADJ
fcis-9478	28	12	factors	factor	NOUN
fcis-9478	28	13	,	,	PUNCT
fcis-9478	28	14	such	such	ADJ
fcis-9478	28	15	as	as	ADP
fcis-9478	28	16	atmosphere	atmosphere	NOUN
fcis-9478	28	17	,	,	PUNCT
fcis-9478	28	18	ground	ground	NOUN
fcis-9478	28	19	shadow	shadow	NOUN
fcis-9478	28	20	and	and	CCONJ
fcis-9478	28	21	image	image	NOUN
fcis-9478	28	22	noise	noise	NOUN
fcis-9478	28	23	,	,	PUNCT
fcis-9478	28	24	there	there	PRON
fcis-9478	28	25	is	be	VERB
fcis-9478	28	26	a	a	DET
fcis-9478	28	27	lot	lot	NOUN
fcis-9478	28	28	of	of	ADP
fcis-9478	28	29	noise	noise	NOUN
fcis-9478	28	30	in	in	ADP
fcis-9478	28	31	the	the	DET
fcis-9478	28	32	image	image	NOUN
fcis-9478	28	33	.	.	PUNCT
fcis-9478	29	1	therefore	therefore	ADV
fcis-9478	29	2	,	,	PUNCT
fcis-9478	29	3	in	in	ADP
fcis-9478	29	4	order	order	NOUN
fcis-9478	29	5	to	to	PART
fcis-9478	29	6	extract	extract	VERB
fcis-9478	29	7	clean	clean	ADJ
fcis-9478	29	8	water	water	NOUN
fcis-9478	29	9	image	image	NOUN
fcis-9478	29	10	,	,	PUNCT
fcis-9478	29	11	it	it	PRON
fcis-9478	29	12	is	be	AUX
fcis-9478	29	13	necessary	necessary	ADJ
fcis-9478	29	14	to	to	PART
fcis-9478	29	15	filter	filter	VERB
fcis-9478	29	16	and	and	CCONJ
fcis-9478	29	17	enhance	enhance	VERB
fcis-9478	29	18	the	the	DET
fcis-9478	29	19	image	image	NOUN
fcis-9478	29	20	in	in	ADP
fcis-9478	29	21	the	the	DET
fcis-9478	29	22	pre	pre	ADJ
fcis-9478	29	23	-	-	ADJ
fcis-9478	29	24	processing	processing	ADJ
fcis-9478	29	25	process	process	NOUN
fcis-9478	29	26	.	.	PUNCT
fcis-9478	30	1	firstly	firstly	ADV
fcis-9478	30	2	,	,	PUNCT
fcis-9478	30	3	the	the	DET
fcis-9478	30	4	mean	mean	ADJ
fcis-9478	30	5	filter	filter	NOUN
fcis-9478	30	6	is	be	AUX
fcis-9478	30	7	used	use	VERB
fcis-9478	30	8	to	to	PART
fcis-9478	30	9	preprocess	preprocess	VERB
fcis-9478	30	10	the	the	DET
fcis-9478	30	11	remote	remote	ADJ
fcis-9478	30	12	sensing	sense	VERB
fcis-9478	30	13	image	image	NOUN
fcis-9478	30	14	to	to	PART
fcis-9478	30	15	eliminate	eliminate	VERB
fcis-9478	30	16	the	the	DET
fcis-9478	30	17	noise	noise	NOUN
fcis-9478	30	18	in	in	ADP
fcis-9478	30	19	the	the	DET
fcis-9478	30	20	image	image	NOUN
fcis-9478	30	21	.	.	PUNCT
fcis-9478	31	1	finally	finally	ADV
fcis-9478	31	2	,	,	PUNCT
fcis-9478	31	3	the	the	DET
fcis-9478	31	4	image	image	NOUN
fcis-9478	31	5	enhancement	enhancement	NOUN
fcis-9478	31	6	algorithm	algorithm	NOUN
fcis-9478	31	7	based	base	VERB
fcis-9478	31	8	on	on	ADP
fcis-9478	31	9	mathematical	mathematical	ADJ
fcis-9478	31	10	morphology	morphology	NOUN
fcis-9478	31	11	processing	processing	NOUN
fcis-9478	31	12	is	be	AUX
fcis-9478	31	13	used	use	VERB
fcis-9478	31	14	to	to	PART
fcis-9478	31	15	enhance	enhance	VERB
fcis-9478	31	16	the	the	DET
fcis-9478	31	17	pre	pre	ADJ
fcis-9478	31	18	-	-	ADJ
fcis-9478	31	19	processed	process	VERB
fcis-9478	31	20	images	image	NOUN
fcis-9478	31	21	.	.	PUNCT
fcis-9478	32	1	the	the	DET
fcis-9478	32	2	image	image	NOUN
fcis-9478	32	3	for	for	ADP
fcis-9478	32	4	analysis	analysis	NOUN
fcis-9478	32	5	is	be	AUX
fcis-9478	32	6	obtained	obtain	VERB
fcis-9478	32	7	by	by	ADP
fcis-9478	32	8	atmospheric	atmospheric	ADJ
fcis-9478	32	9	radiation	radiation	NOUN
fcis-9478	32	10	correction	correction	NOUN
fcis-9478	32	11	,	,	PUNCT
fcis-9478	32	12	geometric	geometric	ADJ
fcis-9478	32	13	correction	correction	NOUN
fcis-9478	32	14	and	and	CCONJ
fcis-9478	32	15	image	image	NOUN
fcis-9478	32	16	segmentation	segmentation	NOUN
fcis-9478	32	17	.	.	PUNCT
fcis-9478	33	1	2.2	2.2	NUM
fcis-9478	33	2	.	.	PUNCT
fcis-9478	34	1	research	research	NOUN
fcis-9478	34	2	methods	method	NOUN
fcis-9478	34	3	adaboost	adaboost	ADP
fcis-9478	34	4	algorithm	algorithm	NOUN
fcis-9478	34	5	is	be	AUX
fcis-9478	34	6	a	a	DET
fcis-9478	34	7	voting	vote	VERB
fcis-9478	34	8	classification	classification	NOUN
fcis-9478	34	9	algorithm	algorithm	NOUN
fcis-9478	34	10	proposed	propose	VERB
fcis-9478	34	11	by	by	ADP
fcis-9478	34	12	freund	freund	PROPN
fcis-9478	34	13	et	et	PROPN
fcis-9478	34	14	al	al	PROPN
fcis-9478	34	15	in	in	ADP
fcis-9478	34	16	1995	1995	NUM
fcis-9478	34	17	,	,	PUNCT
fcis-9478	34	18	which	which	PRON
fcis-9478	34	19	combines	combine	VERB
fcis-9478	34	20	different	different	ADJ
fcis-9478	34	21	weak	weak	ADJ
fcis-9478	34	22	classifiers	classifier	NOUN
fcis-9478	34	23	into	into	ADP
fcis-9478	34	24	strong	strong	ADJ
fcis-9478	34	25	classifiers	classifier	NOUN
fcis-9478	34	26	through	through	ADP
fcis-9478	34	27	sample	sample	NOUN
fcis-9478	34	28	103	103	NUM
fcis-9478	34	29	training	training	NOUN
fcis-9478	34	30	to	to	PART
fcis-9478	34	31	improve	improve	VERB
fcis-9478	34	32	classification	classification	NOUN
fcis-9478	34	33	accuracy	accuracy	NOUN
fcis-9478	34	34	[	[	X
fcis-9478	34	35	11	11	NUM
fcis-9478	34	36	]	]	PUNCT
fcis-9478	34	37	.	.	PUNCT
fcis-9478	35	1	in	in	ADP
fcis-9478	35	2	the	the	DET
fcis-9478	35	3	process	process	NOUN
fcis-9478	35	4	of	of	ADP
fcis-9478	35	5	water	water	NOUN
fcis-9478	35	6	extraction	extraction	NOUN
fcis-9478	35	7	from	from	ADP
fcis-9478	35	8	remote	remote	ADJ
fcis-9478	35	9	sensing	sensing	NOUN
fcis-9478	35	10	images	image	NOUN
fcis-9478	35	11	,	,	PUNCT
fcis-9478	35	12	in	in	ADP
fcis-9478	35	13	view	view	NOUN
fcis-9478	35	14	of	of	ADP
fcis-9478	35	15	the	the	DET
fcis-9478	35	16	limitations	limitation	NOUN
fcis-9478	35	17	of	of	ADP
fcis-9478	35	18	a	a	DET
fcis-9478	35	19	single	single	ADJ
fcis-9478	35	20	classifier	classifier	NOUN
fcis-9478	35	21	,	,	PUNCT
fcis-9478	35	22	the	the	DET
fcis-9478	35	23	adaboost	adaboost	ADJ
fcis-9478	35	24	algorithm	algorithm	NOUN
fcis-9478	35	25	adopted	adopt	VERB
fcis-9478	35	26	in	in	ADP
fcis-9478	35	27	this	this	DET
fcis-9478	35	28	paper	paper	NOUN
fcis-9478	35	29	can	can	AUX
fcis-9478	35	30	well	well	ADV
fcis-9478	35	31	assign	assign	VERB
fcis-9478	35	32	different	different	ADJ
fcis-9478	35	33	weights	weight	NOUN
fcis-9478	35	34	to	to	ADP
fcis-9478	35	35	the	the	DET
fcis-9478	35	36	water	water	NOUN
fcis-9478	35	37	features	feature	NOUN
fcis-9478	35	38	maximized	maximize	VERB
fcis-9478	35	39	by	by	ADP
fcis-9478	35	40	each	each	DET
fcis-9478	35	41	classifier	classifier	NOUN
fcis-9478	35	42	,	,	PUNCT
fcis-9478	35	43	so	so	SCONJ
fcis-9478	35	44	that	that	SCONJ
fcis-9478	35	45	the	the	DET
fcis-9478	35	46	weak	weak	ADJ
fcis-9478	35	47	classifier	classifier	NOUN
fcis-9478	35	48	is	be	AUX
fcis-9478	35	49	forced	force	VERB
fcis-9478	35	50	to	to	PART
fcis-9478	35	51	concentrate	concentrate	VERB
fcis-9478	35	52	on	on	ADP
fcis-9478	35	53	the	the	DET
fcis-9478	35	54	difficulty	difficulty	NOUN
fcis-9478	35	55	of	of	ADP
fcis-9478	35	56	classification	classification	NOUN
fcis-9478	35	57	.	.	PUNCT
fcis-9478	36	1	finally	finally	ADV
fcis-9478	36	2	,	,	PUNCT
fcis-9478	36	3	the	the	DET
fcis-9478	36	4	learning	learning	NOUN
fcis-9478	36	5	results	result	NOUN
fcis-9478	36	6	are	be	AUX
fcis-9478	36	7	fused	fuse	VERB
fcis-9478	36	8	with	with	ADP
fcis-9478	36	9	the	the	DET
fcis-9478	36	10	results	result	NOUN
fcis-9478	36	11	of	of	ADP
fcis-9478	36	12	other	other	ADJ
fcis-9478	36	13	classifiers	classifier	NOUN
fcis-9478	36	14	by	by	ADP
fcis-9478	36	15	weighted	weight	VERB
fcis-9478	36	16	maximum	maximum	ADJ
fcis-9478	36	17	voting	voting	NOUN
fcis-9478	36	18	,	,	PUNCT
fcis-9478	36	19	and	and	CCONJ
fcis-9478	36	20	the	the	DET
fcis-9478	36	21	accuracy	accuracy	NOUN
fcis-9478	36	22	of	of	ADP
fcis-9478	36	23	water	water	NOUN
fcis-9478	36	24	extraction	extraction	NOUN
fcis-9478	36	25	is	be	AUX
fcis-9478	36	26	comprehensively	comprehensively	ADV
fcis-9478	36	27	improved	improve	VERB
fcis-9478	36	28	.	.	PUNCT
fcis-9478	37	1	in	in	ADP
fcis-9478	37	2	this	this	DET
fcis-9478	37	3	paper	paper	NOUN
fcis-9478	37	4	,	,	PUNCT
fcis-9478	37	5	pixels	pixel	NOUN
fcis-9478	37	6	are	be	AUX
fcis-9478	37	7	classified	classify	VERB
fcis-9478	37	8	according	accord	VERB
fcis-9478	37	9	to	to	ADP
fcis-9478	37	10	the	the	DET
fcis-9478	37	11	feature	feature	NOUN
fcis-9478	37	12	differences	difference	NOUN
fcis-9478	37	13	in	in	ADP
fcis-9478	37	14	different	different	ADJ
fcis-9478	37	15	regions	region	NOUN
fcis-9478	37	16	,	,	PUNCT
fcis-9478	37	17	and	and	CCONJ
fcis-9478	37	18	the	the	DET
fcis-9478	37	19	classification	classification	NOUN
fcis-9478	37	20	results	result	NOUN
fcis-9478	37	21	are	be	AUX
fcis-9478	37	22	sorted	sort	VERB
fcis-9478	37	23	according	accord	VERB
fcis-9478	37	24	to	to	ADP
fcis-9478	37	25	the	the	DET
fcis-9478	37	26	voting	voting	NOUN
fcis-9478	37	27	proportion	proportion	NOUN
fcis-9478	37	28	.	.	PUNCT
fcis-9478	38	1	in	in	ADP
fcis-9478	38	2	this	this	DET
fcis-9478	38	3	paper	paper	NOUN
fcis-9478	38	4	,	,	PUNCT
fcis-9478	38	5	7	7	NUM
fcis-9478	38	6	methods	method	NOUN
fcis-9478	38	7	,	,	PUNCT
fcis-9478	38	8	including	include	VERB
fcis-9478	38	9	single	single	ADJ
fcis-9478	38	10	-	-	PUNCT
fcis-9478	38	11	band	band	NOUN
fcis-9478	38	12	threshold	threshold	NOUN
fcis-9478	38	13	method	method	NOUN
fcis-9478	38	14	,	,	PUNCT
fcis-9478	38	15	ndwi	ndwi	NOUN
fcis-9478	38	16	,	,	PUNCT
fcis-9478	38	17	mndwi	mndwi	INTJ
fcis-9478	38	18	,	,	PUNCT
fcis-9478	38	19	3	3	NUM
fcis-9478	38	20	different	different	ADJ
fcis-9478	38	21	spectral	spectral	ADJ
fcis-9478	38	22	relations	relation	NOUN
fcis-9478	38	23	and	and	CCONJ
fcis-9478	38	24	decision	decision	NOUN
fcis-9478	38	25	tree	tree	NOUN
fcis-9478	38	26	method	method	NOUN
fcis-9478	38	27	,	,	PUNCT
fcis-9478	38	28	are	be	AUX
fcis-9478	38	29	used	use	VERB
fcis-9478	38	30	as	as	ADP
fcis-9478	38	31	the	the	DET
fcis-9478	38	32	classifier	classifier	NOUN
fcis-9478	38	33	of	of	ADP
fcis-9478	38	34	adaboost	adaboost	ADJ
fcis-9478	38	35	algorithm	algorithm	NOUN
fcis-9478	38	36	.	.	PUNCT
fcis-9478	39	1	the	the	DET
fcis-9478	39	2	specific	specific	ADJ
fcis-9478	39	3	operations	operation	NOUN
fcis-9478	39	4	are	be	AUX
fcis-9478	39	5	as	as	SCONJ
fcis-9478	39	6	follows	follow	VERB
fcis-9478	39	7	:	:	PUNCT
fcis-9478	39	8	firstly	firstly	ADV
fcis-9478	39	9	,	,	PUNCT
fcis-9478	39	10	the	the	DET
fcis-9478	39	11	image	image	NOUN
fcis-9478	39	12	is	be	AUX
fcis-9478	39	13	preprocessed	preprocesse	VERB
fcis-9478	39	14	to	to	PART
fcis-9478	39	15	remove	remove	VERB
fcis-9478	39	16	all	all	DET
fcis-9478	39	17	kinds	kind	NOUN
fcis-9478	39	18	of	of	ADP
fcis-9478	39	19	noise	noise	NOUN
fcis-9478	39	20	;	;	PUNCT
fcis-9478	39	21	then	then	ADV
fcis-9478	39	22	the	the	DET
fcis-9478	39	23	optimal	optimal	ADJ
fcis-9478	39	24	segmentation	segmentation	NOUN
fcis-9478	39	25	point	point	NOUN
fcis-9478	39	26	of	of	ADP
fcis-9478	39	27	each	each	DET
fcis-9478	39	28	pixel	pixel	NOUN
fcis-9478	39	29	is	be	AUX
fcis-9478	39	30	determined	determine	VERB
fcis-9478	39	31	by	by	ADP
fcis-9478	39	32	setting	set	VERB
fcis-9478	39	33	different	different	ADJ
fcis-9478	39	34	thresholds	threshold	NOUN
fcis-9478	39	35	.	.	PUNCT
fcis-9478	40	1	finally	finally	ADV
fcis-9478	40	2	,	,	PUNCT
fcis-9478	40	3	weighted	weight	VERB
fcis-9478	40	4	voting	voting	NOUN
fcis-9478	40	5	is	be	AUX
fcis-9478	40	6	used	use	VERB
fcis-9478	40	7	to	to	PART
fcis-9478	40	8	output	output	VERB
fcis-9478	40	9	the	the	DET
fcis-9478	40	10	segmentation	segmentation	NOUN
fcis-9478	40	11	results	result	NOUN
fcis-9478	40	12	.	.	PUNCT
fcis-9478	41	1	this	this	DET
fcis-9478	41	2	algorithm	algorithm	NOUN
fcis-9478	41	3	can	can	AUX
fcis-9478	41	4	not	not	PART
fcis-9478	41	5	only	only	ADV
fcis-9478	41	6	obtain	obtain	VERB
fcis-9478	41	7	better	well	ADJ
fcis-9478	41	8	segmentation	segmentation	NOUN
fcis-9478	41	9	results	result	NOUN
fcis-9478	41	10	,	,	PUNCT
fcis-9478	41	11	but	but	CCONJ
fcis-9478	41	12	also	also	ADV
fcis-9478	41	13	realize	realize	VERB
fcis-9478	41	14	the	the	DET
fcis-9478	41	15	comparison	comparison	NOUN
fcis-9478	41	16	of	of	ADP
fcis-9478	41	17	segmentation	segmentation	NOUN
fcis-9478	41	18	results	result	NOUN
fcis-9478	41	19	under	under	ADP
fcis-9478	41	20	different	different	ADJ
fcis-9478	41	21	thresholds	threshold	NOUN
fcis-9478	41	22	in	in	ADP
fcis-9478	41	23	the	the	DET
fcis-9478	41	24	same	same	ADJ
fcis-9478	41	25	region	region	NOUN
fcis-9478	41	26	.	.	PUNCT
fcis-9478	42	1	using	use	VERB
fcis-9478	42	2	matlab	matlab	PROPN
fcis-9478	42	3	to	to	PART
fcis-9478	42	4	implement	implement	VERB
fcis-9478	42	5	the	the	DET
fcis-9478	42	6	ada	ada	PROPN
fcis-9478	42	7	boost	boost	PROPN
fcis-9478	42	8	algorithm	algorithm	NOUN
fcis-9478	42	9	,	,	PUNCT
fcis-9478	42	10	the	the	DET
fcis-9478	42	11	implementation	implementation	NOUN
fcis-9478	42	12	code	code	NOUN
fcis-9478	42	13	is	be	AUX
fcis-9478	42	14	as	as	SCONJ
fcis-9478	42	15	follows	follow	VERB
fcis-9478	42	16	:	:	PUNCT
fcis-9478	42	17	i1	i1	PROPN
fcis-9478	42	18	=	=	SYM
fcis-9478	42	19	imread('danboduanyuzhi.tif	imread('danboduanyuzhi.tif	PROPN
fcis-9478	42	20	'	'	PUNCT
fcis-9478	42	21	)	)	PUNCT
fcis-9478	42	22	;	;	PUNCT
fcis-9478	43	1	i2	i2	PROPN
fcis-9478	43	2	=	=	SYM
fcis-9478	43	3	imread('ndwi.tif	imread('ndwi.tif	PROPN
fcis-9478	43	4	'	'	PUNCT
fcis-9478	43	5	)	)	PUNCT
fcis-9478	43	6	;	;	PUNCT
fcis-9478	43	7	i3	i3	NOUN
fcis-9478	43	8	=	=	SYM
fcis-9478	43	9	imread('mndwi.tif	imread('mndwi.tif	NOUN
fcis-9478	43	10	'	'	PUNCT
fcis-9478	43	11	)	)	PUNCT
fcis-9478	43	12	;	;	PUNCT
fcis-9478	43	13	i4	i4	PROPN
fcis-9478	43	14	=	=	SYM
fcis-9478	43	15	imread('pujianguanxi.tif	imread('pujianguanxi.tif	PROPN
fcis-9478	43	16	'	'	PUNCT
fcis-9478	43	17	)	)	PUNCT
fcis-9478	43	18	;	;	PUNCT
fcis-9478	43	19	i5	i5	PROPN
fcis-9478	43	20	=	=	SYM
fcis-9478	43	21	imread('wangjinhua.tif	imread('wangjinhua.tif	NOUN
fcis-9478	43	22	'	'	PUNCT
fcis-9478	43	23	)	)	PUNCT
fcis-9478	43	24	;	;	PUNCT
fcis-9478	43	25	i6	i6	NOUN
fcis-9478	43	26	=	=	SYM
fcis-9478	43	27	imread('xuhanqiu.tif	imread('xuhanqiu.tif	NOUN
fcis-9478	43	28	'	'	PUNCT
fcis-9478	43	29	)	)	PUNCT
fcis-9478	43	30	;	;	PUNCT
fcis-9478	43	31	i7	i7	NOUN
fcis-9478	43	32	=	=	SYM
fcis-9478	43	33	imread('yanpei.tif	imread('yanpei.tif	NOUN
fcis-9478	43	34	'	'	PUNCT
fcis-9478	43	35	)	)	PUNCT
fcis-9478	43	36	;	;	PUNCT
fcis-9478	43	37	i	i	PRON
fcis-9478	43	38	=	=	NOUN
fcis-9478	43	39	i1+i2+i3+i4+i5+i6+i7	i1+i2+i3+i4+i5+i6+i7	NOUN
fcis-9478	43	40	;	;	PUNCT
fcis-9478	43	41	waterbody1	waterbody1	NOUN
fcis-9478	43	42	=	=	SYM
fcis-9478	43	43	i>=1	i>=1	X
fcis-9478	43	44	;	;	PUNCT
fcis-9478	43	45	imwrite(waterbody1,'votealgorithm_oneagree.tif	imwrite(waterbody1,'votealgorithm_oneagree.tif	PROPN
fcis-9478	43	46	'	'	PUNCT
fcis-9478	43	47	)	)	PUNCT
fcis-9478	43	48	;	;	PUNCT
fcis-9478	43	49	waterbody2	waterbody2	PROPN
fcis-9478	43	50	=	=	X
fcis-9478	43	51	i>=2	i>=2	VERB
fcis-9478	43	52	;	;	PUNCT
fcis-9478	43	53	imwrite(waterbody2,'votealgorithm_twoagree.tif	imwrite(waterbody2,'votealgorithm_twoagree.tif	PROPN
fcis-9478	43	54	'	'	PUNCT
fcis-9478	43	55	)	)	PUNCT
fcis-9478	43	56	;	;	PUNCT
fcis-9478	43	57	waterbody3	waterbody3	PROPN
fcis-9478	43	58	=	=	SYM
fcis-9478	43	59	i>=3	i>=3	PRON
fcis-9478	43	60	;	;	PUNCT
fcis-9478	43	61	imwrite(waterbody3,'votealgorithm_threeagree.tif	imwrite(waterbody3,'votealgorithm_threeagree.tif	PROPN
fcis-9478	43	62	'	'	PUNCT
fcis-9478	43	63	)	)	PUNCT
fcis-9478	43	64	;	;	PUNCT
fcis-9478	43	65	waterbody4	waterbody4	NOUN
fcis-9478	43	66	=	=	NOUN
fcis-9478	43	67	i>=4	i>=4	PROPN
fcis-9478	43	68	;	;	PUNCT
fcis-9478	43	69	imwrite(waterbody4,'votealgorithm_fouragree.tif	imwrite(waterbody4,'votealgorithm_fouragree.tif	PRON
fcis-9478	43	70	'	'	PUNCT
fcis-9478	43	71	)	)	PUNCT
fcis-9478	43	72	;	;	PUNCT
fcis-9478	43	73	waterbody5	waterbody5	PROPN
fcis-9478	43	74	=	=	SYM
fcis-9478	43	75	i>=5	i>=5	NOUN
fcis-9478	43	76	;	;	PUNCT
fcis-9478	43	77	imwrite(waterbody5,'votealgorithm_fiveagree.tif	imwrite(waterbody5,'votealgorithm_fiveagree.tif	PROPN
fcis-9478	43	78	'	'	PUNCT
fcis-9478	43	79	)	)	PUNCT
fcis-9478	43	80	;	;	PUNCT
fcis-9478	43	81	waterbody6	waterbody6	NOUN
fcis-9478	43	82	=	=	SYM
fcis-9478	43	83	i>=6	i>=6	X
fcis-9478	43	84	;	;	PUNCT
fcis-9478	43	85	imwrite(waterbody6,'votealgorithm_sixagree.tif	imwrite(waterbody6,'votealgorithm_sixagree.tif	PROPN
fcis-9478	43	86	'	'	PUNCT
fcis-9478	43	87	)	)	PUNCT
fcis-9478	43	88	;	;	PUNCT
fcis-9478	43	89	waterbody7=(i==7	waterbody7=(i==7	NOUN
fcis-9478	43	90	)	)	PUNCT
fcis-9478	43	91	;	;	PUNCT
fcis-9478	43	92	imwrite(waterbody7,'votealgorithm_allagree.tif	imwrite(waterbody7,'votealgorithm_allagree.tif	PROPN
fcis-9478	43	93	'	'	PUNCT
fcis-9478	43	94	)	)	PUNCT
fcis-9478	43	95	;	;	PUNCT
fcis-9478	43	96	3	3	X
fcis-9478	43	97	.	.	X
fcis-9478	43	98	water	water	NOUN
fcis-9478	43	99	extraction	extraction	NOUN
fcis-9478	43	100	results	result	NOUN
fcis-9478	43	101	figure	figure	VERB
fcis-9478	43	102	1	1	NUM
fcis-9478	43	103	.	.	PUNCT
fcis-9478	43	104	results	result	NOUN
fcis-9478	43	105	of	of	ADP
fcis-9478	43	106	water	water	NOUN
fcis-9478	43	107	extraction	extraction	NOUN
fcis-9478	43	108	by	by	ADP
fcis-9478	43	109	ada	ada	PROPN
fcis-9478	43	110	boost	boost	PROPN
fcis-9478	43	111	algorithm	algorithm	NOUN
fcis-9478	43	112	104	104	NUM
fcis-9478	43	113	through	through	ADP
fcis-9478	43	114	the	the	DET
fcis-9478	43	115	constructed	construct	VERB
fcis-9478	43	116	program	program	NOUN
fcis-9478	43	117	,	,	PUNCT
fcis-9478	43	118	7	7	NUM
fcis-9478	43	119	images	image	NOUN
fcis-9478	43	120	can	can	AUX
fcis-9478	43	121	be	be	AUX
fcis-9478	43	122	obtained	obtain	VERB
fcis-9478	43	123	.	.	PUNCT
fcis-9478	44	1	they	they	PRON
fcis-9478	44	2	are	be	AUX
fcis-9478	44	3	as	as	SCONJ
fcis-9478	44	4	follows	follow	VERB
fcis-9478	44	5	:	:	PUNCT
fcis-9478	44	6	as	as	ADV
fcis-9478	44	7	long	long	ADV
fcis-9478	44	8	as	as	SCONJ
fcis-9478	44	9	there	there	PRON
fcis-9478	44	10	is	be	VERB
fcis-9478	44	11	a	a	DET
fcis-9478	44	12	way	way	NOUN
fcis-9478	44	13	to	to	PART
fcis-9478	44	14	think	think	VERB
fcis-9478	44	15	that	that	SCONJ
fcis-9478	44	16	the	the	DET
fcis-9478	44	17	pixel	pixel	NOUN
fcis-9478	44	18	is	be	AUX
fcis-9478	44	19	a	a	DET
fcis-9478	44	20	water	water	NOUN
fcis-9478	44	21	body	body	NOUN
fcis-9478	44	22	,	,	PUNCT
fcis-9478	44	23	it	it	PRON
fcis-9478	44	24	is	be	AUX
fcis-9478	44	25	determined	determined	ADJ
fcis-9478	44	26	to	to	PART
fcis-9478	44	27	be	be	AUX
fcis-9478	44	28	a	a	DET
fcis-9478	44	29	water	water	NOUN
fcis-9478	44	30	body	body	NOUN
fcis-9478	44	31	,	,	PUNCT
fcis-9478	44	32	referred	refer	VERB
fcis-9478	44	33	to	to	ADP
fcis-9478	44	34	as	as	ADP
fcis-9478	44	35	one	one	NUM
fcis-9478	44	36	agreement	agreement	NOUN
fcis-9478	44	37	;	;	PUNCT
fcis-9478	44	38	at	at	ADV
fcis-9478	44	39	least	least	ADJ
fcis-9478	44	40	two	two	NUM
fcis-9478	44	41	agreements	agreement	NOUN
fcis-9478	44	42	agree	agree	VERB
fcis-9478	44	43	that	that	SCONJ
fcis-9478	44	44	the	the	DET
fcis-9478	44	45	pixels	pixel	NOUN
fcis-9478	44	46	are	be	AUX
fcis-9478	44	47	water	water	NOUN
fcis-9478	44	48	bodies	body	NOUN
fcis-9478	44	49	.	.	PUNCT
fcis-9478	45	1	at	at	ADV
fcis-9478	45	2	least	least	ADV
fcis-9478	45	3	three	three	NUM
fcis-9478	45	4	agreements	agreement	NOUN
fcis-9478	45	5	agree	agree	VERB
fcis-9478	45	6	that	that	SCONJ
fcis-9478	45	7	the	the	DET
fcis-9478	45	8	pixels	pixel	NOUN
fcis-9478	45	9	are	be	AUX
fcis-9478	45	10	water	water	NOUN
fcis-9478	45	11	bodies	body	NOUN
fcis-9478	45	12	,	,	PUNCT
fcis-9478	45	13	referred	refer	VERB
fcis-9478	45	14	to	to	ADP
fcis-9478	45	15	as	as	ADP
fcis-9478	45	16	three	three	NUM
fcis-9478	45	17	agreements	agreement	NOUN
fcis-9478	45	18	;	;	PUNCT
fcis-9478	45	19	there	there	PRON
fcis-9478	45	20	are	be	VERB
fcis-9478	45	21	at	at	ADV
fcis-9478	45	22	least	least	ADJ
fcis-9478	45	23	four	four	NUM
fcis-9478	45	24	agreements	agreement	NOUN
fcis-9478	45	25	that	that	PRON
fcis-9478	45	26	identify	identify	VERB
fcis-9478	45	27	the	the	DET
fcis-9478	45	28	pixels	pixel	NOUN
fcis-9478	45	29	as	as	ADP
fcis-9478	45	30	water	water	NOUN
fcis-9478	45	31	bodies	body	NOUN
fcis-9478	45	32	,	,	PUNCT
fcis-9478	45	33	referred	refer	VERB
fcis-9478	45	34	to	to	ADP
fcis-9478	45	35	as	as	ADP
fcis-9478	45	36	four	four	NUM
fcis-9478	45	37	agreements	agreement	NOUN
fcis-9478	45	38	;	;	PUNCT
fcis-9478	45	39	at	at	ADV
fcis-9478	45	40	least	least	ADJ
fcis-9478	45	41	five	five	NUM
fcis-9478	45	42	agreements	agreement	NOUN
fcis-9478	45	43	agree	agree	VERB
fcis-9478	45	44	that	that	SCONJ
fcis-9478	45	45	pixels	pixel	NOUN
fcis-9478	45	46	are	be	AUX
fcis-9478	45	47	water	water	NOUN
fcis-9478	45	48	bodies	body	NOUN
fcis-9478	45	49	;	;	PUNCT
fcis-9478	45	50	there	there	PRON
fcis-9478	45	51	are	be	VERB
fcis-9478	45	52	at	at	ADV
fcis-9478	45	53	least	least	ADJ
fcis-9478	45	54	six	six	NUM
fcis-9478	45	55	methods	method	NOUN
fcis-9478	45	56	to	to	PART
fcis-9478	45	57	determine	determine	VERB
fcis-9478	45	58	that	that	SCONJ
fcis-9478	45	59	the	the	DET
fcis-9478	45	60	pixel	pixel	NOUN
fcis-9478	45	61	is	be	AUX
fcis-9478	45	62	a	a	DET
fcis-9478	45	63	water	water	NOUN
fcis-9478	45	64	body	body	NOUN
fcis-9478	45	65	,	,	PUNCT
fcis-9478	45	66	referred	refer	VERB
fcis-9478	45	67	to	to	ADP
fcis-9478	45	68	as	as	ADP
fcis-9478	45	69	six	six	NUM
fcis-9478	45	70	agreements	agreement	NOUN
fcis-9478	45	71	;	;	PUNCT
fcis-9478	45	72	the	the	DET
fcis-9478	45	73	pixel	pixel	NOUN
fcis-9478	45	74	must	must	AUX
fcis-9478	45	75	be	be	AUX
fcis-9478	45	76	recognized	recognize	VERB
fcis-9478	45	77	as	as	ADP
fcis-9478	45	78	a	a	DET
fcis-9478	45	79	water	water	NOUN
fcis-9478	45	80	body	body	NOUN
fcis-9478	45	81	by	by	ADP
fcis-9478	45	82	all	all	DET
fcis-9478	45	83	7	7	NUM
fcis-9478	45	84	methods	method	NOUN
fcis-9478	45	85	,	,	PUNCT
fcis-9478	45	86	referred	refer	VERB
fcis-9478	45	87	to	to	ADP
fcis-9478	45	88	as	as	ADP
fcis-9478	45	89	all	all	DET
fcis-9478	45	90	agreements	agreement	NOUN
fcis-9478	45	91	.	.	PUNCT
fcis-9478	46	1	the	the	DET
fcis-9478	46	2	fig	fig	NOUN
fcis-9478	46	3	1	1	NUM
fcis-9478	46	4	is	be	AUX
fcis-9478	46	5	the	the	DET
fcis-9478	46	6	result	result	NOUN
fcis-9478	46	7	.	.	PUNCT
fcis-9478	47	1	this	this	DET
fcis-9478	47	2	ada	ada	PROPN
fcis-9478	47	3	boost	boost	PROPN
fcis-9478	47	4	algorithm	algorithm	NOUN
fcis-9478	47	5	well	well	ADV
fcis-9478	47	6	synthesizes	synthesize	VERB
fcis-9478	47	7	the	the	DET
fcis-9478	47	8	processing	processing	NOUN
fcis-9478	47	9	results	result	NOUN
fcis-9478	47	10	of	of	ADP
fcis-9478	47	11	different	different	ADJ
fcis-9478	47	12	water	water	NOUN
fcis-9478	47	13	body	body	NOUN
fcis-9478	47	14	search	search	NOUN
fcis-9478	47	15	algorithms	algorithm	NOUN
fcis-9478	47	16	,	,	PUNCT
fcis-9478	47	17	and	and	CCONJ
fcis-9478	47	18	users	user	NOUN
fcis-9478	47	19	can	can	AUX
fcis-9478	47	20	choose	choose	VERB
fcis-9478	47	21	the	the	DET
fcis-9478	47	22	processed	process	VERB
fcis-9478	47	23	water	water	NOUN
fcis-9478	47	24	body	body	NOUN
fcis-9478	47	25	images	image	NOUN
fcis-9478	47	26	according	accord	VERB
fcis-9478	47	27	to	to	ADP
fcis-9478	47	28	their	their	PRON
fcis-9478	47	29	own	own	ADJ
fcis-9478	47	30	needs	need	NOUN
fcis-9478	47	31	.	.	PUNCT
fcis-9478	48	1	the	the	DET
fcis-9478	48	2	extraction	extraction	NOUN
fcis-9478	48	3	results	result	NOUN
fcis-9478	48	4	of	of	ADP
fcis-9478	48	5	one	one	NUM
fcis-9478	48	6	agreement	agreement	NOUN
fcis-9478	48	7	and	and	CCONJ
fcis-9478	48	8	all	all	DET
fcis-9478	48	9	agreements	agreement	NOUN
fcis-9478	48	10	are	be	AUX
fcis-9478	48	11	not	not	PART
fcis-9478	48	12	satisfactory	satisfactory	ADJ
fcis-9478	48	13	,	,	PUNCT
fcis-9478	48	14	because	because	SCONJ
fcis-9478	48	15	they	they	PRON
fcis-9478	48	16	all	all	PRON
fcis-9478	48	17	take	take	VERB
fcis-9478	48	18	extreme	extreme	ADJ
fcis-9478	48	19	values	value	NOUN
fcis-9478	48	20	.	.	PUNCT
fcis-9478	49	1	all	all	DET
fcis-9478	49	2	agreements	agreement	NOUN
fcis-9478	49	3	treat	treat	VERB
fcis-9478	49	4	some	some	DET
fcis-9478	49	5	bodies	body	NOUN
fcis-9478	49	6	of	of	ADP
fcis-9478	49	7	water	water	NOUN
fcis-9478	49	8	as	as	SCONJ
fcis-9478	49	9	other	other	ADJ
fcis-9478	49	10	features	feature	NOUN
fcis-9478	49	11	and	and	CCONJ
fcis-9478	49	12	one	one	NUM
fcis-9478	49	13	agreement	agreement	NOUN
fcis-9478	49	14	treats	treat	VERB
fcis-9478	49	15	some	some	DET
fcis-9478	49	16	other	other	ADJ
fcis-9478	49	17	features	feature	NOUN
fcis-9478	49	18	as	as	ADP
fcis-9478	49	19	water	water	NOUN
fcis-9478	49	20	bodies	body	NOUN
fcis-9478	49	21	.	.	PUNCT
fcis-9478	50	1	method	method	VERB
fcis-9478	50	2	three	three	NUM
fcis-9478	50	3	agreements	agreement	NOUN
fcis-9478	50	4	,	,	PUNCT
fcis-9478	50	5	method	method	VERB
fcis-9478	50	6	four	four	NUM
fcis-9478	50	7	agreements	agreement	NOUN
fcis-9478	50	8	and	and	CCONJ
fcis-9478	50	9	method	method	VERB
fcis-9478	50	10	five	five	NUM
fcis-9478	50	11	agreements	agreement	NOUN
fcis-9478	50	12	have	have	VERB
fcis-9478	50	13	a	a	DET
fcis-9478	50	14	good	good	ADJ
fcis-9478	50	15	extraction	extraction	NOUN
fcis-9478	50	16	effect	effect	NOUN
fcis-9478	50	17	.	.	PUNCT
fcis-9478	51	1	these	these	DET
fcis-9478	51	2	three	three	NUM
fcis-9478	51	3	methods	method	NOUN
fcis-9478	51	4	combine	combine	VERB
fcis-9478	51	5	the	the	DET
fcis-9478	51	6	extraction	extraction	NOUN
fcis-9478	51	7	results	result	NOUN
fcis-9478	51	8	of	of	ADP
fcis-9478	51	9	most	most	ADJ
fcis-9478	51	10	of	of	ADP
fcis-9478	51	11	the	the	DET
fcis-9478	51	12	methods	method	NOUN
fcis-9478	51	13	,	,	PUNCT
fcis-9478	51	14	so	so	SCONJ
fcis-9478	51	15	that	that	SCONJ
fcis-9478	51	16	the	the	DET
fcis-9478	51	17	image	image	NOUN
fcis-9478	51	18	can	can	AUX
fcis-9478	51	19	well	well	ADV
fcis-9478	51	20	distinguish	distinguish	VERB
fcis-9478	51	21	the	the	DET
fcis-9478	51	22	boundary	boundary	NOUN
fcis-9478	51	23	between	between	ADP
fcis-9478	51	24	water	water	NOUN
fcis-9478	51	25	bodies	body	NOUN
fcis-9478	51	26	and	and	CCONJ
fcis-9478	51	27	other	other	ADJ
fcis-9478	51	28	features	feature	NOUN
fcis-9478	51	29	,	,	PUNCT
fcis-9478	51	30	and	and	CCONJ
fcis-9478	51	31	extract	extract	VERB
fcis-9478	51	32	most	most	ADJ
fcis-9478	51	33	of	of	ADP
fcis-9478	51	34	the	the	DET
fcis-9478	51	35	water	water	NOUN
fcis-9478	51	36	bodies	body	NOUN
fcis-9478	51	37	.	.	PUNCT
fcis-9478	52	1	moreover	moreover	ADV
fcis-9478	52	2	,	,	PUNCT
fcis-9478	52	3	this	this	DET
fcis-9478	52	4	algorithm	algorithm	NOUN
fcis-9478	52	5	synthesizes	synthesize	VERB
fcis-9478	52	6	the	the	DET
fcis-9478	52	7	processing	processing	NOUN
fcis-9478	52	8	results	result	NOUN
fcis-9478	52	9	of	of	ADP
fcis-9478	52	10	different	different	ADJ
fcis-9478	52	11	algorithms	algorithm	NOUN
fcis-9478	52	12	,	,	PUNCT
fcis-9478	52	13	so	so	SCONJ
fcis-9478	52	14	that	that	SCONJ
fcis-9478	52	15	the	the	DET
fcis-9478	52	16	image	image	NOUN
fcis-9478	52	17	has	have	VERB
fcis-9478	52	18	the	the	DET
fcis-9478	52	19	advantages	advantage	NOUN
fcis-9478	52	20	of	of	ADP
fcis-9478	52	21	multiple	multiple	ADJ
fcis-9478	52	22	algorithms	algorithm	NOUN
fcis-9478	52	23	.	.	PUNCT
fcis-9478	53	1	however	however	ADV
fcis-9478	53	2	,	,	PUNCT
fcis-9478	53	3	this	this	DET
fcis-9478	53	4	ada	ada	PROPN
fcis-9478	53	5	boost	boost	PROPN
fcis-9478	53	6	algorithm	algorithm	NOUN
fcis-9478	53	7	is	be	AUX
fcis-9478	53	8	not	not	PART
fcis-9478	53	9	specifically	specifically	ADV
fcis-9478	53	10	proposed	propose	VERB
fcis-9478	53	11	according	accord	VERB
fcis-9478	53	12	to	to	ADP
fcis-9478	53	13	some	some	DET
fcis-9478	53	14	special	special	ADJ
fcis-9478	53	15	terrain	terrain	NOUN
fcis-9478	53	16	,	,	PUNCT
fcis-9478	53	17	so	so	SCONJ
fcis-9478	53	18	its	its	PRON
fcis-9478	53	19	use	use	NOUN
fcis-9478	53	20	has	have	VERB
fcis-9478	53	21	limitations	limitation	NOUN
fcis-9478	53	22	,	,	PUNCT
fcis-9478	53	23	it	it	PRON
fcis-9478	53	24	must	must	AUX
fcis-9478	53	25	exist	exist	VERB
fcis-9478	53	26	the	the	DET
fcis-9478	53	27	results	result	NOUN
fcis-9478	53	28	of	of	ADP
fcis-9478	53	29	several	several	ADJ
fcis-9478	53	30	existing	exist	VERB
fcis-9478	53	31	extraction	extraction	NOUN
fcis-9478	53	32	algorithms	algorithm	NOUN
fcis-9478	53	33	.	.	PUNCT
fcis-9478	54	1	4	4	X
fcis-9478	54	2	.	.	X
fcis-9478	54	3	conclusion	conclusion	NOUN
fcis-9478	54	4	aiming	aim	VERB
fcis-9478	54	5	at	at	ADP
fcis-9478	54	6	the	the	DET
fcis-9478	54	7	problem	problem	NOUN
fcis-9478	54	8	of	of	ADP
fcis-9478	54	9	water	water	NOUN
fcis-9478	54	10	recognition	recognition	NOUN
fcis-9478	54	11	and	and	CCONJ
fcis-9478	54	12	extraction	extraction	NOUN
fcis-9478	54	13	in	in	ADP
fcis-9478	54	14	remote	remote	ADJ
fcis-9478	54	15	sensing	sensing	NOUN
fcis-9478	54	16	images	image	NOUN
fcis-9478	54	17	,	,	PUNCT
fcis-9478	54	18	this	this	DET
fcis-9478	54	19	paper	paper	NOUN
fcis-9478	54	20	proposes	propose	VERB
fcis-9478	54	21	a	a	DET
fcis-9478	54	22	method	method	NOUN
fcis-9478	54	23	of	of	ADP
fcis-9478	54	24	water	water	NOUN
fcis-9478	54	25	extraction	extraction	NOUN
fcis-9478	54	26	in	in	ADP
fcis-9478	54	27	remote	remote	ADJ
fcis-9478	54	28	sensing	sensing	NOUN
fcis-9478	54	29	images	image	NOUN
fcis-9478	54	30	based	base	VERB
fcis-9478	54	31	on	on	ADP
fcis-9478	54	32	ada	ada	PROPN
fcis-9478	54	33	boost	boost	PROPN
fcis-9478	54	34	algorithm	algorithm	NOUN
fcis-9478	54	35	.	.	PUNCT
fcis-9478	55	1	by	by	ADP
fcis-9478	55	2	synthesizing	synthesize	VERB
fcis-9478	55	3	existing	exist	VERB
fcis-9478	55	4	segmentation	segmentation	NOUN
fcis-9478	55	5	algorithms	algorithm	NOUN
fcis-9478	55	6	,	,	PUNCT
fcis-9478	55	7	the	the	DET
fcis-9478	55	8	advantages	advantage	NOUN
fcis-9478	55	9	of	of	ADP
fcis-9478	55	10	different	different	ADJ
fcis-9478	55	11	segmentation	segmentation	NOUN
fcis-9478	55	12	algorithms	algorithm	NOUN
fcis-9478	55	13	are	be	AUX
fcis-9478	55	14	combined	combine	VERB
fcis-9478	55	15	,	,	PUNCT
fcis-9478	55	16	spectral	spectral	ADJ
fcis-9478	55	17	characteristics	characteristic	NOUN
fcis-9478	55	18	and	and	CCONJ
fcis-9478	55	19	spatial	spatial	ADJ
fcis-9478	55	20	characteristics	characteristic	NOUN
fcis-9478	55	21	are	be	AUX
fcis-9478	55	22	fully	fully	ADV
fcis-9478	55	23	utilized	utilize	VERB
fcis-9478	55	24	for	for	ADP
fcis-9478	55	25	fusion	fusion	NOUN
fcis-9478	55	26	,	,	PUNCT
fcis-9478	55	27	and	and	CCONJ
fcis-9478	55	28	various	various	ADJ
fcis-9478	55	29	segmentation	segmentation	NOUN
fcis-9478	55	30	algorithms	algorithm	NOUN
fcis-9478	55	31	are	be	AUX
fcis-9478	55	32	analyzed	analyze	VERB
fcis-9478	55	33	and	and	CCONJ
fcis-9478	55	34	compared	compare	VERB
fcis-9478	55	35	.	.	PUNCT
fcis-9478	56	1	a	a	DET
fcis-9478	56	2	new	new	ADJ
fcis-9478	56	3	segmentation	segmentation	NOUN
fcis-9478	56	4	algorithm	algorithm	NOUN
fcis-9478	56	5	,	,	PUNCT
fcis-9478	56	6	ada	ada	PROPN
fcis-9478	56	7	boost	boost	PROPN
fcis-9478	56	8	algorithm	algorithm	NOUN
fcis-9478	56	9	,	,	PUNCT
fcis-9478	56	10	is	be	AUX
fcis-9478	56	11	proposed	propose	VERB
fcis-9478	56	12	.	.	PUNCT
fcis-9478	57	1	the	the	DET
fcis-9478	57	2	experimental	experimental	ADJ
fcis-9478	57	3	results	result	NOUN
fcis-9478	57	4	show	show	VERB
fcis-9478	57	5	that	that	SCONJ
fcis-9478	57	6	by	by	ADP
fcis-9478	57	7	synthesizing	synthesize	VERB
fcis-9478	57	8	the	the	DET
fcis-9478	57	9	existing	exist	VERB
fcis-9478	57	10	methods	method	NOUN
fcis-9478	57	11	,	,	PUNCT
fcis-9478	57	12	the	the	DET
fcis-9478	57	13	water	water	NOUN
fcis-9478	57	14	body	body	NOUN
fcis-9478	57	15	can	can	AUX
fcis-9478	57	16	be	be	AUX
fcis-9478	57	17	well	well	ADV
fcis-9478	57	18	identified	identify	VERB
fcis-9478	57	19	and	and	CCONJ
fcis-9478	57	20	extracted	extract	VERB
fcis-9478	57	21	.	.	PUNCT
fcis-9478	58	1	however	however	ADV
fcis-9478	58	2	,	,	PUNCT
fcis-9478	58	3	there	there	PRON
fcis-9478	58	4	are	be	VERB
fcis-9478	58	5	also	also	ADV
fcis-9478	58	6	certain	certain	ADJ
fcis-9478	58	7	problems	problem	NOUN
fcis-9478	58	8	.	.	PUNCT
fcis-9478	59	1	due	due	ADP
fcis-9478	59	2	to	to	ADP
fcis-9478	59	3	the	the	DET
fcis-9478	59	4	influence	influence	NOUN
fcis-9478	59	5	of	of	ADP
fcis-9478	59	6	noise	noise	NOUN
fcis-9478	59	7	interference	interference	NOUN
fcis-9478	59	8	,	,	PUNCT
fcis-9478	59	9	shadow	shadow	NOUN
fcis-9478	59	10	,	,	PUNCT
fcis-9478	59	11	vegetation	vegetation	NOUN
fcis-9478	59	12	and	and	CCONJ
fcis-9478	59	13	other	other	ADJ
fcis-9478	59	14	factors	factor	NOUN
fcis-9478	59	15	,	,	PUNCT
fcis-9478	59	16	the	the	DET
fcis-9478	59	17	phenomenon	phenomenon	NOUN
fcis-9478	59	18	of	of	ADP
fcis-9478	59	19	misclassification	misclassification	NOUN
fcis-9478	59	20	occurs	occur	VERB
fcis-9478	59	21	after	after	ADP
fcis-9478	59	22	image	image	NOUN
fcis-9478	59	23	segmentation	segmentation	NOUN
fcis-9478	59	24	.	.	PUNCT
fcis-9478	60	1	in	in	ADP
fcis-9478	60	2	the	the	DET
fcis-9478	60	3	follow	follow	VERB
fcis-9478	60	4	-	-	PUNCT
fcis-9478	60	5	up	up	ADP
fcis-9478	60	6	research	research	NOUN
fcis-9478	60	7	,	,	PUNCT
fcis-9478	60	8	different	different	ADJ
fcis-9478	60	9	methods	method	NOUN
fcis-9478	60	10	of	of	ADP
fcis-9478	60	11	image	image	NOUN
fcis-9478	60	12	preprocessing	preprocessing	NOUN
fcis-9478	60	13	will	will	AUX
fcis-9478	60	14	be	be	AUX
fcis-9478	60	15	tried	try	VERB
fcis-9478	60	16	to	to	PART
fcis-9478	60	17	reduce	reduce	VERB
fcis-9478	60	18	the	the	DET
fcis-9478	60	19	influence	influence	NOUN
fcis-9478	60	20	of	of	ADP
fcis-9478	60	21	experimental	experimental	ADJ
fcis-9478	60	22	data	datum	NOUN
fcis-9478	60	23	.	.	PUNCT
fcis-9478	61	1	therefore	therefore	ADV
fcis-9478	61	2	,	,	PUNCT
fcis-9478	61	3	how	how	SCONJ
fcis-9478	61	4	to	to	PART
fcis-9478	61	5	eliminate	eliminate	VERB
fcis-9478	61	6	the	the	DET
fcis-9478	61	7	influence	influence	NOUN
fcis-9478	61	8	of	of	ADP
fcis-9478	61	9	noise	noise	NOUN
fcis-9478	61	10	on	on	ADP
fcis-9478	61	11	algorithm	algorithm	NOUN
fcis-9478	61	12	accuracy	accuracy	NOUN
fcis-9478	61	13	is	be	AUX
fcis-9478	61	14	still	still	ADV
fcis-9478	61	15	the	the	DET
fcis-9478	61	16	focus	focus	NOUN
fcis-9478	61	17	of	of	ADP
fcis-9478	61	18	future	future	ADJ
fcis-9478	61	19	research	research	NOUN
fcis-9478	61	20	.	.	PUNCT
fcis-9478	62	1	acknowledgments	acknowledgment	NOUN
fcis-9478	62	2	this	this	DET
fcis-9478	62	3	paper	paper	NOUN
fcis-9478	62	4	was	be	AUX
fcis-9478	62	5	supported	support	VERB
fcis-9478	62	6	by	by	ADP
fcis-9478	62	7	shanxi	shanxi	PROPN
fcis-9478	62	8	province	province	PROPN
fcis-9478	62	9	land	land	PROPN
fcis-9478	62	10	engineering	engineering	NOUN
fcis-9478	62	11	construction	construction	NOUN
fcis-9478	62	12	group	group	NOUN
fcis-9478	62	13	project	project	NOUN
fcis-9478	62	14	djny2022	djny2022	PROPN
fcis-9478	62	15	-	-	PUNCT
fcis-9478	62	16	28	28	NUM
fcis-9478	62	17	.	.	PUNCT
fcis-9478	63	1	references	reference	NOUN
fcis-9478	63	2	[	[	X
fcis-9478	63	3	1	1	NUM
fcis-9478	63	4	]	]	SYM
fcis-9478	63	5	rishikeshan	rishikeshan	NOUN
fcis-9478	63	6	,	,	PUNCT
fcis-9478	63	7	c.	c.	PROPN
fcis-9478	63	8	a.	a.	PROPN
fcis-9478	63	9	,	,	PUNCT
fcis-9478	63	10	and	and	CCONJ
fcis-9478	63	11	h.	h.	PROPN
fcis-9478	63	12	ramesh	ramesh	PROPN
fcis-9478	63	13	.	.	PUNCT
fcis-9478	64	1	"	"	PUNCT
fcis-9478	64	2	an	an	DET
fcis-9478	64	3	automated	automate	VERB
fcis-9478	64	4	mathematical	mathematical	ADJ
fcis-9478	64	5	morphology	morphology	NOUN
fcis-9478	64	6	driven	drive	VERB
fcis-9478	64	7	algorithm	algorithm	NOUN
fcis-9478	64	8	for	for	ADP
fcis-9478	64	9	water	water	NOUN
fcis-9478	64	10	body	body	NOUN
fcis-9478	64	11	extraction	extraction	NOUN
fcis-9478	64	12	from	from	ADP
fcis-9478	64	13	remotely	remotely	ADV
fcis-9478	64	14	sensed	sense	VERB
fcis-9478	64	15	images	image	NOUN
fcis-9478	64	16	.	.	PUNCT
fcis-9478	64	17	"	"	PUNCT
fcis-9478	64	18	isprs	isprs	PROPN
fcis-9478	64	19	journal	journal	NOUN
fcis-9478	64	20	of	of	ADP
fcis-9478	64	21	photogrammetry	photogrammetry	NOUN
fcis-9478	64	22	and	and	CCONJ
fcis-9478	64	23	remote	remote	ADJ
fcis-9478	64	24	sensing	sensing	NOUN
fcis-9478	64	25	(	(	PUNCT
fcis-9478	64	26	2018	2018	NUM
fcis-9478	64	27	)	)	PUNCT
fcis-9478	64	28	.	.	PUNCT
fcis-9478	65	1	[	[	X
fcis-9478	65	2	2	2	NUM
fcis-9478	65	3	]	]	X
fcis-9478	65	4	jiang	jiang	PROPN
fcis-9478	65	5	,	,	PUNCT
fcis-9478	65	6	wei	wei	PROPN
fcis-9478	65	7	,	,	PUNCT
fcis-9478	65	8	et	et	PROPN
fcis-9478	65	9	al	al	PROPN
fcis-9478	65	10	.	.	PUNCT
fcis-9478	65	11	"	"	PUNCT
fcis-9478	65	12	an	an	DET
fcis-9478	65	13	effective	effective	ADJ
fcis-9478	65	14	water	water	NOUN
fcis-9478	65	15	body	body	NOUN
fcis-9478	65	16	extraction	extraction	NOUN
fcis-9478	65	17	method	method	NOUN
fcis-9478	65	18	with	with	ADP
fcis-9478	65	19	new	new	ADJ
fcis-9478	65	20	water	water	NOUN
fcis-9478	65	21	index	index	NOUN
fcis-9478	65	22	for	for	ADP
fcis-9478	65	23	sentinel-2	sentinel-2	ADJ
fcis-9478	65	24	imagery	imagery	NOUN
fcis-9478	65	25	.	.	PUNCT
fcis-9478	65	26	"	"	PUNCT
fcis-9478	66	1	water	water	NOUN
fcis-9478	66	2	(	(	PUNCT
fcis-9478	66	3	2021	2021	NUM
fcis-9478	66	4	)	)	PUNCT
fcis-9478	66	5	.	.	PUNCT
fcis-9478	67	1	[	[	X
fcis-9478	67	2	3	3	NUM
fcis-9478	67	3	]	]	X
fcis-9478	67	4	yue	yue	PROPN
fcis-9478	67	5	,	,	PUNCT
fcis-9478	67	6	h.	h.	PROPN
fcis-9478	67	7	,	,	PUNCT
fcis-9478	67	8	et	et	PROPN
fcis-9478	67	9	al	al	PROPN
fcis-9478	67	10	.	.	PUNCT
fcis-9478	68	1	"	"	PUNCT
fcis-9478	68	2	a	a	DET
fcis-9478	68	3	new	new	ADJ
fcis-9478	68	4	accuracy	accuracy	NOUN
fcis-9478	68	5	evaluation	evaluation	NOUN
fcis-9478	68	6	method	method	NOUN
fcis-9478	68	7	for	for	ADP
fcis-9478	68	8	water	water	NOUN
fcis-9478	68	9	body	body	NOUN
fcis-9478	68	10	extraction	extraction	NOUN
fcis-9478	68	11	.	.	PUNCT
fcis-9478	68	12	"	"	PUNCT
fcis-9478	69	1	international	international	ADJ
fcis-9478	69	2	journal	journal	NOUN
fcis-9478	69	3	of	of	ADP
fcis-9478	69	4	remote	remote	ADJ
fcis-9478	69	5	sensing	sensing	NOUN
fcis-9478	69	6	(	(	PUNCT
fcis-9478	69	7	2020	2020	NUM
fcis-9478	69	8	)	)	PUNCT
fcis-9478	69	9	.	.	PUNCT
fcis-9478	70	1	[	[	X
fcis-9478	70	2	4	4	NUM
fcis-9478	70	3	]	]	X
fcis-9478	70	4	zhuang	zhuang	PROPN
fcis-9478	70	5	,	,	PUNCT
fcis-9478	70	6	yin	yin	PROPN
fcis-9478	70	7	,	,	PUNCT
fcis-9478	70	8	et	et	PROPN
fcis-9478	70	9	al	al	PROPN
fcis-9478	70	10	.	.	PUNCT
fcis-9478	70	11	"	"	PUNCT
fcis-9478	70	12	harbor	harbor	VERB
fcis-9478	70	13	water	water	NOUN
fcis-9478	70	14	area	area	NOUN
fcis-9478	70	15	extraction	extraction	NOUN
fcis-9478	70	16	from	from	ADP
fcis-9478	70	17	pansharpened	pansharpene	VERB
fcis-9478	70	18	remotely	remotely	ADV
fcis-9478	70	19	sensed	sense	VERB
fcis-9478	70	20	images	image	NOUN
fcis-9478	70	21	based	base	VERB
fcis-9478	70	22	on	on	ADP
fcis-9478	70	23	the	the	DET
fcis-9478	70	24	definition	definition	NOUN
fcis-9478	70	25	circle	circle	NOUN
fcis-9478	70	26	model	model	NOUN
fcis-9478	70	27	.	.	PUNCT
fcis-9478	70	28	"	"	PUNCT
fcis-9478	71	1	ieee	ieee	NOUN
fcis-9478	71	2	geoscience	geoscience	NOUN
fcis-9478	71	3	and	and	CCONJ
fcis-9478	71	4	remote	remote	ADJ
fcis-9478	71	5	sensing	sense	VERB
fcis-9478	71	6	letters	letter	NOUN
fcis-9478	71	7	(	(	PUNCT
fcis-9478	71	8	2017	2017	NUM
fcis-9478	71	9	)	)	PUNCT
fcis-9478	71	10	.	.	PUNCT
fcis-9478	72	1	[	[	X
fcis-9478	72	2	5	5	X
fcis-9478	72	3	]	]	PUNCT
fcis-9478	72	4	xu	xu	PROPN
fcis-9478	72	5	x.	x.	PROPN
fcis-9478	72	6	research	research	NOUN
fcis-9478	72	7	on	on	ADP
fcis-9478	72	8	automatic	automatic	ADJ
fcis-9478	72	9	water	water	NOUN
fcis-9478	72	10	extraction	extraction	NOUN
fcis-9478	72	11	scheme	scheme	NOUN
fcis-9478	72	12	of	of	ADP
fcis-9478	72	13	remote	remote	ADJ
fcis-9478	72	14	sensing	sense	VERB
fcis-9478	72	15	image	image	NOUN
fcis-9478	72	16	based	base	VERB
fcis-9478	72	17	on	on	ADP
fcis-9478	72	18	image	image	NOUN
fcis-9478	72	19	features	feature	VERB
fcis-9478	72	20	[	[	X
fcis-9478	72	21	j	j	X
fcis-9478	72	22	]	]	X
fcis-9478	72	23	.	.	PUNCT
fcis-9478	73	1	anhui	anhui	PROPN
fcis-9478	73	2	building	building	PROPN
fcis-9478	73	3	,	,	PUNCT
fcis-9478	73	4	2019	2019	NUM
fcis-9478	73	5	,	,	PUNCT
fcis-9478	73	6	26	26	NUM
fcis-9478	73	7	(	(	PUNCT
fcis-9478	73	8	9	9	NUM
fcis-9478	73	9	):	):	PUNCT
fcis-9478	73	10	50	50	NUM
fcis-9478	73	11	-	-	SYM
fcis-9478	73	12	51	51	NUM
fcis-9478	73	13	.	.	PUNCT
fcis-9478	74	1	doi	doi	NOUN
fcis-9478	74	2	:	:	PUNCT
fcis-9478	74	3	10.16330	10.16330	NUM
fcis-9478	74	4	/	/	SYM
fcis-9478	74	5	j.	j.	PROPN
fcis-9478	74	6	carol	carol	PROPN
fcis-9478	74	7	carroll	carroll	PROPN
fcis-9478	74	8	nki	nki	PROPN
fcis-9478	74	9	.	.	PUNCT
fcis-9478	74	10	1007	1007	NUM
fcis-9478	74	11	-	-	PUNCT
fcis-9478	74	12	7359.2019.09.020	7359.2019.09.020	PROPN
fcis-9478	74	13	.	.	PUNCT
fcis-9478	75	1	[	[	X
fcis-9478	75	2	6	6	NUM
fcis-9478	75	3	]	]	X
fcis-9478	75	4	zhao	zhao	PROPN
fcis-9478	75	5	chenxi	chenxi	PROPN
fcis-9478	75	6	,	,	PUNCT
fcis-9478	75	7	hu	hu	PROPN
fcis-9478	75	8	jingfang	jingfang	PROPN
fcis-9478	75	9	,	,	PUNCT
fcis-9478	75	10	song	song	PROPN
fcis-9478	75	11	yu	yu	PROPN
fcis-9478	75	12	et	et	PROPN
fcis-9478	75	13	al	al	PROPN
fcis-9478	75	14	.	.	PROPN
fcis-9478	75	15	research	research	NOUN
fcis-9478	75	16	on	on	ADP
fcis-9478	75	17	water	water	NOUN
fcis-9478	75	18	body	body	NOUN
fcis-9478	75	19	identification	identification	NOUN
fcis-9478	75	20	and	and	CCONJ
fcis-9478	75	21	extraction	extraction	NOUN
fcis-9478	75	22	of	of	ADP
fcis-9478	75	23	image	image	NOUN
fcis-9478	75	24	review	review	NOUN
fcis-9478	76	1	[	[	X
fcis-9478	76	2	j	j	X
fcis-9478	76	3	]	]	X
fcis-9478	76	4	.	.	PUNCT
fcis-9478	77	1	journal	journal	PROPN
fcis-9478	77	2	of	of	ADP
fcis-9478	77	3	sensor	sensor	NOUN
fcis-9478	77	4	world	world	NOUN
fcis-9478	77	5	,	,	PUNCT
fcis-9478	77	6	2022	2022	NUM
fcis-9478	77	7	,	,	PUNCT
fcis-9478	77	8	28	28	NUM
fcis-9478	77	9	(	(	PUNCT
fcis-9478	77	10	08	08	NUM
fcis-9478	77	11	):	):	PUNCT
fcis-9478	77	12	1	1	NUM
fcis-9478	77	13	-	-	SYM
fcis-9478	77	14	9	9	NUM
fcis-9478	77	15	.	.	PUNCT
fcis-9478	78	1	[	[	X
fcis-9478	78	2	7	7	X
fcis-9478	78	3	]	]	X
fcis-9478	78	4	wang	wang	PROPN
fcis-9478	78	5	xin	xin	PROPN
fcis-9478	78	6	,	,	PUNCT
fcis-9478	78	7	xu	xu	PROPN
fcis-9478	78	8	mingjun	mingjun	PROPN
fcis-9478	78	9	,	,	PUNCT
fcis-9478	78	10	li	li	PROPN
fcis-9478	78	11	ke	ke	PROPN
fcis-9478	78	12	et	et	PROPN
fcis-9478	78	13	al	al	PROPN
fcis-9478	78	14	.	.	PUNCT
fcis-9478	79	1	an	an	DET
fcis-9478	79	2	effective	effective	ADJ
fcis-9478	79	3	method	method	NOUN
fcis-9478	79	4	for	for	ADP
fcis-9478	79	5	water	water	NOUN
fcis-9478	79	6	extraction	extraction	NOUN
fcis-9478	79	7	from	from	ADP
fcis-9478	79	8	high	high	ADJ
fcis-9478	79	9	-	-	PUNCT
fcis-9478	79	10	resolution	resolution	NOUN
fcis-9478	79	11	remote	remote	ADJ
fcis-9478	79	12	sensing	sensing	NOUN
fcis-9478	79	13	images	image	NOUN
fcis-9478	79	14	[	[	X
fcis-9478	79	15	j	j	X
fcis-9478	79	16	]	]	X
fcis-9478	79	17	.	.	PUNCT
fcis-9478	80	1	computer	computer	NOUN
fcis-9478	80	2	engineering	engineering	NOUN
fcis-9478	80	3	and	and	CCONJ
fcis-9478	80	4	applications	application	NOUN
fcis-9478	80	5	,	,	PUNCT
fcis-9478	80	6	2019,55(20):145151	2019,55(20):145151	NUM
fcis-9478	80	7	+	+	NOUN
fcis-9478	80	8	207	207	NUM
fcis-9478	80	9	.	.	PUNCT
fcis-9478	81	1	(	(	PUNCT
fcis-9478	81	2	in	in	ADP
fcis-9478	81	3	chinese	chinese	PROPN
fcis-9478	81	4	)	)	PUNCT
fcis-9478	82	1	[	[	X
fcis-9478	82	2	8	8	NUM
fcis-9478	82	3	]	]	X
fcis-9478	82	4	pan	pan	PROPN
fcis-9478	82	5	,	,	PUNCT
fcis-9478	82	6	f.	f.	PROPN
fcis-9478	82	7	,	,	PUNCT
fcis-9478	82	8	x.	x.	NOUN
fcis-9478	82	9	xi	xi	PROPN
fcis-9478	82	10	,	,	PUNCT
fcis-9478	82	11	and	and	CCONJ
fcis-9478	82	12	cheng	cheng	PROPN
fcis-9478	82	13	wang	wang	PROPN
fcis-9478	82	14	.	.	PUNCT
fcis-9478	83	1	"	"	PUNCT
fcis-9478	83	2	a	a	DET
fcis-9478	83	3	comparative	comparative	ADJ
fcis-9478	83	4	study	study	NOUN
fcis-9478	83	5	of	of	ADP
fcis-9478	83	6	water	water	NOUN
fcis-9478	83	7	indices	index	NOUN
fcis-9478	83	8	and	and	CCONJ
fcis-9478	83	9	image	image	NOUN
fcis-9478	83	10	classification	classification	NOUN
fcis-9478	83	11	algorithms	algorithm	NOUN
fcis-9478	83	12	for	for	ADP
fcis-9478	83	13	mapping	map	VERB
fcis-9478	83	14	inland	inland	ADJ
fcis-9478	83	15	surface	surface	NOUN
fcis-9478	83	16	water	water	NOUN
fcis-9478	83	17	bodies	body	NOUN
fcis-9478	83	18	using	use	VERB
fcis-9478	83	19	landsat	landsat	PROPN
fcis-9478	83	20	imagery	imagery	NOUN
fcis-9478	83	21	.	.	PUNCT
fcis-9478	83	22	"	"	PUNCT
fcis-9478	84	1	remote	remote	ADJ
fcis-9478	84	2	.	.	PUNCT
fcis-9478	85	1	sens	sens	PROPN
fcis-9478	85	2	.	.	PROPN
fcis-9478	85	3	(	(	PUNCT
fcis-9478	85	4	2020	2020	NUM
fcis-9478	85	5	)	)	PUNCT
fcis-9478	85	6	.	.	PUNCT
fcis-9478	86	1	[	[	X
fcis-9478	86	2	9	9	NUM
fcis-9478	86	3	]	]	SYM
fcis-9478	86	4	hu	hu	PROPN
fcis-9478	86	5	,	,	PUNCT
fcis-9478	86	6	shunshi	shunshi	PROPN
fcis-9478	86	7	,	,	PUNCT
fcis-9478	86	8	et	et	PROPN
fcis-9478	86	9	al	al	PROPN
fcis-9478	86	10	.	.	PUNCT
fcis-9478	87	1	"	"	PUNCT
fcis-9478	87	2	automatic	automatic	ADJ
fcis-9478	87	3	extraction	extraction	NOUN
fcis-9478	87	4	of	of	ADP
fcis-9478	87	5	water	water	NOUN
fcis-9478	87	6	inundation	inundation	NOUN
fcis-9478	87	7	areas	area	NOUN
fcis-9478	87	8	using	use	VERB
fcis-9478	87	9	sentinel-1	sentinel-1	NUM
fcis-9478	87	10	data	datum	NOUN
fcis-9478	87	11	for	for	ADP
fcis-9478	87	12	large	large	ADJ
fcis-9478	87	13	plain	plain	ADJ
fcis-9478	87	14	areas	area	NOUN
fcis-9478	87	15	.	.	PUNCT
fcis-9478	87	16	"	"	PUNCT
fcis-9478	88	1	remote	remote	ADJ
fcis-9478	88	2	.	.	PUNCT
fcis-9478	89	1	sens	sens	PROPN
fcis-9478	89	2	.	.	PROPN
fcis-9478	89	3	(	(	PUNCT
fcis-9478	89	4	2020	2020	NUM
fcis-9478	89	5	)	)	PUNCT
fcis-9478	89	6	.	.	PUNCT
fcis-9478	90	1	[	[	X
fcis-9478	90	2	10	10	NUM
fcis-9478	90	3	]	]	X
fcis-9478	90	4	zhai	zhai	PROPN
fcis-9478	90	5	,	,	PUNCT
fcis-9478	90	6	k.	k.	PROPN
fcis-9478	90	7	,	,	PUNCT
fcis-9478	90	8	et	et	PROPN
fcis-9478	90	9	al	al	PROPN
fcis-9478	90	10	.	.	PUNCT
fcis-9478	91	1	"	"	PUNCT
fcis-9478	91	2	comparison	comparison	NOUN
fcis-9478	91	3	of	of	ADP
fcis-9478	91	4	surface	surface	NOUN
fcis-9478	91	5	water	water	NOUN
fcis-9478	91	6	extraction	extraction	NOUN
fcis-9478	91	7	performances	performance	NOUN
fcis-9478	91	8	of	of	ADP
fcis-9478	91	9	different	different	ADJ
fcis-9478	91	10	classic	classic	ADJ
fcis-9478	91	11	water	water	NOUN
fcis-9478	91	12	indices	index	NOUN
fcis-9478	91	13	using	use	VERB
fcis-9478	91	14	oli	oli	PROPN
fcis-9478	91	15	and	and	CCONJ
fcis-9478	91	16	tm	tm	PROPN
fcis-9478	91	17	imageries	imagery	NOUN
fcis-9478	91	18	in	in	ADP
fcis-9478	91	19	different	different	ADJ
fcis-9478	91	20	situations	situation	NOUN
fcis-9478	91	21	.	.	PUNCT
fcis-9478	91	22	"	"	PUNCT
fcis-9478	92	1	geo	geo	PROPN
fcis-9478	92	2	-	-	PUNCT
fcis-9478	92	3	spatial	spatial	ADJ
fcis-9478	92	4	information	information	NOUN
fcis-9478	92	5	science	science	NOUN
fcis-9478	92	6	(	(	PUNCT
fcis-9478	92	7	2015	2015	NUM
fcis-9478	92	8	)	)	PUNCT
fcis-9478	92	9	.	.	PUNCT
fcis-9478	93	1	[	[	X
fcis-9478	93	2	11	11	NUM
fcis-9478	93	3	]	]	PUNCT
fcis-9478	93	4	song	song	PROPN
fcis-9478	93	5	yingqiang	yingqiang	PROPN
fcis-9478	93	6	,	,	PUNCT
fcis-9478	93	7	yang	yang	PROPN
fcis-9478	93	8	lian	lian	PROPN
fcis-9478	93	9	'	'	PUNCT
fcis-9478	93	10	an	an	PROPN
fcis-9478	93	11	,	,	PUNCT
fcis-9478	93	12	xu	xu	PROPN
fcis-9478	93	13	jingting	jingting	PROPN
fcis-9478	93	14	,	,	PUNCT
fcis-9478	93	15	wei	wei	PROPN
fcis-9478	93	16	anlei	anlei	PROPN
fcis-9478	93	17	.	.	PUNCT
fcis-9478	94	1	water	water	NOUN
fcis-9478	94	2	body	body	NOUN
fcis-9478	94	3	information	information	NOUN
fcis-9478	94	4	extraction	extraction	NOUN
fcis-9478	94	5	based	base	VERB
fcis-9478	94	6	on	on	ADP
fcis-9478	94	7	landsat-8	landsat-8	PROPN
fcis-9478	94	8	oli	oli	ADJ
fcis-9478	94	9	remote	remote	ADJ
fcis-9478	94	10	sensing	sense	VERB
fcis-9478	94	11	image	image	NOUN
fcis-9478	94	12	and	and	CCONJ
fcis-9478	94	13	adaboost	adaboost	ADJ
fcis-9478	94	14	algorithm	algorithm	NOUN
fcis-9478	95	1	[	[	X
fcis-9478	95	2	j	j	X
fcis-9478	95	3	]	]	X
fcis-9478	95	4	.	.	PUNCT
fcis-9478	96	1	surveying	surveying	NOUN
fcis-9478	96	2	,	,	PUNCT
fcis-9478	96	3	mapping	mapping	NOUN
fcis-9478	96	4	and	and	CCONJ
fcis-9478	96	5	geographic	geographic	ADJ
fcis-9478	96	6	information,2017,42(03):44	information,2017,42(03):44	NOUN
fcis-9478	96	7	-	-	PUNCT
fcis-9478	96	8	47	47	NUM
fcis-9478	96	9	.	.	PUNCT