id	sid	tid	token	lemma	pos
fcis-13999	1	1	frontiers	frontier	NOUN
fcis-13999	1	2	in	in	ADP
fcis-13999	1	3	computing	computing	NOUN
fcis-13999	1	4	and	and	CCONJ
fcis-13999	1	5	intelligent	intelligent	ADJ
fcis-13999	1	6	systems	system	NOUN
fcis-13999	1	7	issn	issn	VERB
fcis-13999	1	8	:	:	PUNCT
fcis-13999	1	9	2832	2832	NUM
fcis-13999	1	10	-	-	SYM
fcis-13999	1	11	6024	6024	NUM
fcis-13999	1	12	|	|	NOUN
fcis-13999	1	13	vol	vol	NOUN
fcis-13999	1	14	.	.	PROPN
fcis-13999	2	1	5	5	NUM
fcis-13999	2	2	,	,	PUNCT
fcis-13999	2	3	no	no	INTJ
fcis-13999	2	4	.	.	NOUN
fcis-13999	2	5	3	3	NUM
fcis-13999	2	6	,	,	PUNCT
fcis-13999	2	7	2023	2023	NUM
fcis-13999	2	8	107	107	NUM
fcis-13999	3	1	an	an	DET
fcis-13999	3	2	overview	overview	NOUN
fcis-13999	3	3	of	of	ADP
fcis-13999	3	4	hyperspectral	hyperspectral	ADJ
fcis-13999	3	5	image	image	NOUN
fcis-13999	3	6	classification	classification	NOUN
fcis-13999	3	7	by	by	ADP
fcis-13999	3	8	data‐driven	data‐driven	PRON
fcis-13999	3	9	deep	deep	ADJ
fcis-13999	3	10	learning	learning	PROPN
fcis-13999	3	11	xiaochuan	xiaochuan	PROPN
fcis-13999	3	12	yu	yu	PROPN
fcis-13999	3	13	1	1	NUM
fcis-13999	3	14	,	,	PUNCT
fcis-13999	3	15	*	*	PROPN
fcis-13999	3	16	,	,	PUNCT
fcis-13999	3	17	mary	mary	PROPN
fcis-13999	3	18	b.	b.	PROPN
fcis-13999	3	19	ozdemir	ozdemir	PROPN
fcis-13999	3	20	2	2	PROPN
fcis-13999	3	21	,	,	PUNCT
fcis-13999	4	1	m.	m.	PROPN
fcis-13999	4	2	k.	k.	PROPN
fcis-13999	4	3	joshie	joshie	PROPN
fcis-13999	4	4	2	2	NUM
fcis-13999	4	5	1	1	NUM
fcis-13999	4	6	college	college	NOUN
fcis-13999	4	7	of	of	ADP
fcis-13999	4	8	electrical	electrical	ADJ
fcis-13999	4	9	and	and	CCONJ
fcis-13999	4	10	information	information	NOUN
fcis-13999	4	11	engineering	engineering	NOUN
fcis-13999	4	12	,	,	PUNCT
fcis-13999	4	13	hunan	hunan	PROPN
fcis-13999	4	14	university	university	PROPN
fcis-13999	4	15	,	,	PUNCT
fcis-13999	4	16	changsha	changsha	PROPN
fcis-13999	4	17	,	,	PUNCT
fcis-13999	4	18	410082	410082	NUM
fcis-13999	4	19	,	,	PUNCT
fcis-13999	4	20	china	china	PROPN
fcis-13999	4	21	2	2	NUM
fcis-13999	4	22	school	school	NOUN
fcis-13999	4	23	of	of	ADP
fcis-13999	4	24	geosciences	geoscience	NOUN
fcis-13999	4	25	,	,	PUNCT
fcis-13999	4	26	the	the	DET
fcis-13999	4	27	university	university	PROPN
fcis-13999	4	28	of	of	ADP
fcis-13999	4	29	sydney	sydney	PROPN
fcis-13999	4	30	,	,	PUNCT
fcis-13999	4	31	sydney	sydney	PROPN
fcis-13999	4	32	,	,	PUNCT
fcis-13999	4	33	nsw	nsw	PROPN
fcis-13999	4	34	2006	2006	NUM
fcis-13999	4	35	,	,	PUNCT
fcis-13999	4	36	australia	australia	PROPN
fcis-13999	4	37	*	*	SYM
fcis-13999	4	38	corresponding	correspond	VERB
fcis-13999	4	39	author	author	NOUN
fcis-13999	4	40	:	:	PUNCT
fcis-13999	4	41	xiaochuan	xiaochuan	PROPN
fcis-13999	4	42	yu	yu	PROPN
fcis-13999	4	43	(	(	PUNCT
fcis-13999	4	44	email	email	NOUN
fcis-13999	4	45	:	:	PUNCT
fcis-13999	4	46	xiaochuan_you@163.com	xiaochuan_you@163.com	X
fcis-13999	4	47	)	)	PUNCT
fcis-13999	4	48	abstract	abstract	ADJ
fcis-13999	4	49	:	:	PUNCT
fcis-13999	4	50	hyperspectral	hyperspectral	ADJ
fcis-13999	4	51	imaging	imaging	NOUN
fcis-13999	4	52	(	(	PUNCT
fcis-13999	4	53	hsi	hsi	PROPN
fcis-13999	4	54	)	)	PUNCT
fcis-13999	4	55	in	in	ADP
fcis-13999	4	56	remote	remote	ADJ
fcis-13999	4	57	sensing	sensing	NOUN
fcis-13999	4	58	is	be	AUX
fcis-13999	4	59	gaining	gain	VERB
fcis-13999	4	60	significant	significant	ADJ
fcis-13999	4	61	attention	attention	NOUN
fcis-13999	4	62	due	due	ADP
fcis-13999	4	63	to	to	ADP
fcis-13999	4	64	its	its	PRON
fcis-13999	4	65	complexity	complexity	NOUN
fcis-13999	4	66	,	,	PUNCT
fcis-13999	4	67	posing	pose	VERB
fcis-13999	4	68	challenges	challenge	NOUN
fcis-13999	4	69	for	for	ADP
fcis-13999	4	70	conventional	conventional	ADJ
fcis-13999	4	71	machine	machine	NOUN
fcis-13999	4	72	learning	learning	NOUN
fcis-13999	4	73	in	in	ADP
fcis-13999	4	74	achieving	achieve	VERB
fcis-13999	4	75	accurate	accurate	ADJ
fcis-13999	4	76	classification	classification	NOUN
fcis-13999	4	77	.	.	PUNCT
fcis-13999	5	1	the	the	DET
fcis-13999	5	2	inherent	inherent	ADJ
fcis-13999	5	3	nonlinear	nonlinear	ADJ
fcis-13999	5	4	relationship	relationship	NOUN
fcis-13999	5	5	between	between	ADP
fcis-13999	5	6	captured	capture	VERB
fcis-13999	5	7	spectral	spectral	ADJ
fcis-13999	5	8	information	information	NOUN
fcis-13999	5	9	and	and	CCONJ
fcis-13999	5	10	materials	material	NOUN
fcis-13999	5	11	further	far	ADV
fcis-13999	5	12	complicates	complicate	VERB
fcis-13999	5	13	hyperspectral	hyperspectral	ADJ
fcis-13999	5	14	imaging	imaging	NOUN
fcis-13999	5	15	.	.	PUNCT
fcis-13999	6	1	deep	deep	ADJ
fcis-13999	6	2	learning	learning	NOUN
fcis-13999	6	3	has	have	AUX
fcis-13999	6	4	emerged	emerge	VERB
fcis-13999	6	5	as	as	ADP
fcis-13999	6	6	an	an	DET
fcis-13999	6	7	effective	effective	ADJ
fcis-13999	6	8	tool	tool	NOUN
fcis-13999	6	9	for	for	ADP
fcis-13999	6	10	feature	feature	NOUN
fcis-13999	6	11	extraction	extraction	NOUN
fcis-13999	6	12	,	,	PUNCT
fcis-13999	6	13	finding	find	VERB
fcis-13999	6	14	widespread	widespread	ADJ
fcis-13999	6	15	applications	application	NOUN
fcis-13999	6	16	in	in	ADP
fcis-13999	6	17	image	image	NOUN
fcis-13999	6	18	processing	processing	NOUN
fcis-13999	6	19	tasks	task	NOUN
fcis-13999	6	20	.	.	PUNCT
fcis-13999	7	1	motivated	motivate	VERB
fcis-13999	7	2	by	by	ADP
fcis-13999	7	3	its	its	PRON
fcis-13999	7	4	success	success	NOUN
fcis-13999	7	5	,	,	PUNCT
fcis-13999	7	6	this	this	DET
fcis-13999	7	7	survey	survey	NOUN
fcis-13999	7	8	integrates	integrate	VERB
fcis-13999	7	9	deep	deep	ADJ
fcis-13999	7	10	learning	learning	NOUN
fcis-13999	7	11	into	into	ADP
fcis-13999	7	12	hyperspectral	hyperspectral	ADJ
fcis-13999	7	13	imaging	imaging	NOUN
fcis-13999	7	14	(	(	PUNCT
fcis-13999	7	15	hsi	hsi	PROPN
fcis-13999	7	16	)	)	PUNCT
fcis-13999	7	17	classification	classification	NOUN
fcis-13999	7	18	,	,	PUNCT
fcis-13999	7	19	demonstrating	demonstrate	VERB
fcis-13999	7	20	commendable	commendable	ADJ
fcis-13999	7	21	performance	performance	NOUN
fcis-13999	7	22	.	.	PUNCT
fcis-13999	8	1	the	the	DET
fcis-13999	8	2	paper	paper	NOUN
fcis-13999	8	3	systematically	systematically	ADV
fcis-13999	8	4	reviews	review	VERB
fcis-13999	8	5	existing	exist	VERB
fcis-13999	8	6	literature	literature	NOUN
fcis-13999	8	7	,	,	PUNCT
fcis-13999	8	8	providing	provide	VERB
fcis-13999	8	9	a	a	DET
fcis-13999	8	10	comparative	comparative	ADJ
fcis-13999	8	11	analysis	analysis	NOUN
fcis-13999	8	12	of	of	ADP
fcis-13999	8	13	strategies	strategy	NOUN
fcis-13999	8	14	.	.	PUNCT
fcis-13999	9	1	primary	primary	ADJ
fcis-13999	9	2	challenges	challenge	NOUN
fcis-13999	9	3	in	in	ADP
fcis-13999	9	4	hsi	hsi	PROPN
fcis-13999	9	5	classification	classification	NOUN
fcis-13999	9	6	for	for	ADP
fcis-13999	9	7	traditional	traditional	ADJ
fcis-13999	9	8	methods	method	NOUN
fcis-13999	9	9	are	be	AUX
fcis-13999	9	10	outlined	outline	VERB
fcis-13999	9	11	,	,	PUNCT
fcis-13999	9	12	emphasizing	emphasize	VERB
fcis-13999	9	13	the	the	DET
fcis-13999	9	14	advantages	advantage	NOUN
fcis-13999	9	15	of	of	ADP
fcis-13999	9	16	deep	deep	ADJ
fcis-13999	9	17	learning	learning	NOUN
fcis-13999	9	18	.	.	PUNCT
fcis-13999	10	1	our	our	PRON
fcis-13999	10	2	framework	framework	NOUN
fcis-13999	10	3	categorizes	categorize	VERB
fcis-13999	10	4	works	work	NOUN
fcis-13999	10	5	into	into	ADP
fcis-13999	10	6	three	three	NUM
fcis-13999	10	7	types	type	NOUN
fcis-13999	10	8	:	:	PUNCT
fcis-13999	10	9	spectral	spectral	ADJ
fcis-13999	10	10	-	-	PUNCT
fcis-13999	10	11	feature	feature	NOUN
fcis-13999	10	12	networks	network	NOUN
fcis-13999	10	13	,	,	PUNCT
fcis-13999	10	14	spatial	spatial	ADJ
fcis-13999	10	15	-	-	PUNCT
fcis-13999	10	16	feature	feature	NOUN
fcis-13999	10	17	networks	network	NOUN
fcis-13999	10	18	,	,	PUNCT
fcis-13999	10	19	and	and	CCONJ
fcis-13999	10	20	spectral	spectral	ADJ
fcis-13999	10	21	-	-	PUNCT
fcis-13999	10	22	spatial	spatial	ADJ
fcis-13999	10	23	-	-	PUNCT
fcis-13999	10	24	feature	feature	NOUN
fcis-13999	10	25	networks	network	NOUN
fcis-13999	10	26	,	,	PUNCT
fcis-13999	10	27	offering	offer	VERB
fcis-13999	10	28	a	a	DET
fcis-13999	10	29	comprehensive	comprehensive	ADJ
fcis-13999	10	30	review	review	NOUN
fcis-13999	10	31	of	of	ADP
fcis-13999	10	32	recent	recent	ADJ
fcis-13999	10	33	achievements	achievement	NOUN
fcis-13999	10	34	and	and	CCONJ
fcis-13999	10	35	diverse	diverse	ADJ
fcis-13999	10	36	approaches	approach	NOUN
fcis-13999	10	37	.	.	PUNCT
fcis-13999	11	1	considering	consider	VERB
fcis-13999	11	2	limited	limited	ADJ
fcis-13999	11	3	training	training	NOUN
fcis-13999	11	4	samples	sample	NOUN
fcis-13999	11	5	in	in	ADP
fcis-13999	11	6	remote	remote	ADJ
fcis-13999	11	7	sensing	sensing	NOUN
fcis-13999	11	8	and	and	CCONJ
fcis-13999	11	9	substantial	substantial	ADJ
fcis-13999	11	10	data	datum	NOUN
fcis-13999	11	11	requirements	requirement	NOUN
fcis-13999	11	12	for	for	ADP
fcis-13999	11	13	deep	deep	ADJ
fcis-13999	11	14	networks	network	NOUN
fcis-13999	11	15	,	,	PUNCT
fcis-13999	11	16	strategies	strategy	NOUN
fcis-13999	11	17	to	to	PART
fcis-13999	11	18	enhance	enhance	VERB
fcis-13999	11	19	classification	classification	NOUN
fcis-13999	11	20	performance	performance	NOUN
fcis-13999	11	21	are	be	AUX
fcis-13999	11	22	presented	present	VERB
fcis-13999	11	23	,	,	PUNCT
fcis-13999	11	24	offering	offer	VERB
fcis-13999	11	25	valuable	valuable	ADJ
fcis-13999	11	26	insights	insight	NOUN
fcis-13999	11	27	for	for	ADP
fcis-13999	11	28	future	future	ADJ
fcis-13999	11	29	studies	study	NOUN
fcis-13999	11	30	.	.	PUNCT
fcis-13999	12	1	experiments	experiment	NOUN
fcis-13999	12	2	apply	apply	VERB
fcis-13999	12	3	representative	representative	ADJ
fcis-13999	12	4	deep	deep	ADJ
fcis-13999	12	5	learning	learning	NOUN
fcis-13999	12	6	-	-	PUNCT
fcis-13999	12	7	based	base	VERB
fcis-13999	12	8	classification	classification	NOUN
fcis-13999	12	9	methods	method	NOUN
fcis-13999	12	10	to	to	ADP
fcis-13999	12	11	real	real	ADJ
fcis-13999	12	12	hsis	hsis	NOUN
fcis-13999	12	13	,	,	PUNCT
fcis-13999	12	14	providing	provide	VERB
fcis-13999	12	15	practical	practical	ADJ
fcis-13999	12	16	validation	validation	NOUN
fcis-13999	12	17	.	.	PUNCT
fcis-13999	13	1	the	the	DET
fcis-13999	13	2	survey	survey	NOUN
fcis-13999	13	3	contributes	contribute	VERB
fcis-13999	13	4	to	to	ADP
fcis-13999	13	5	understanding	understand	VERB
fcis-13999	13	6	the	the	DET
fcis-13999	13	7	current	current	ADJ
fcis-13999	13	8	landscape	landscape	NOUN
fcis-13999	13	9	in	in	ADP
fcis-13999	13	10	deep	deep	ADJ
fcis-13999	13	11	learning	learning	NOUN
fcis-13999	13	12	-	-	PUNCT
fcis-13999	13	13	based	base	VERB
fcis-13999	13	14	hsi	hsi	PROPN
fcis-13999	13	15	classification	classification	NOUN
fcis-13999	13	16	and	and	CCONJ
fcis-13999	13	17	lays	lay	VERB
fcis-13999	13	18	a	a	DET
fcis-13999	13	19	foundation	foundation	NOUN
fcis-13999	13	20	for	for	ADP
fcis-13999	13	21	future	future	ADJ
fcis-13999	13	22	research	research	NOUN
fcis-13999	13	23	in	in	ADP
fcis-13999	13	24	this	this	DET
fcis-13999	13	25	evolving	evolve	VERB
fcis-13999	13	26	field	field	NOUN
fcis-13999	13	27	.	.	PUNCT
fcis-13999	14	1	keywords	keyword	NOUN
fcis-13999	14	2	:	:	PUNCT
fcis-13999	14	3	hyperspectral	hyperspectral	ADJ
fcis-13999	14	4	;	;	PUNCT
fcis-13999	14	5	remote	remote	ADJ
fcis-13999	14	6	sensing	sensing	NOUN
fcis-13999	14	7	;	;	PUNCT
fcis-13999	14	8	classification	classification	NOUN
fcis-13999	14	9	;	;	PUNCT
fcis-13999	14	10	imaging	imaging	NOUN
fcis-13999	14	11	;	;	PUNCT
fcis-13999	14	12	deep	deep	ADJ
fcis-13999	14	13	networks	network	NOUN
fcis-13999	14	14	.	.	PUNCT
fcis-13999	15	1	1	1	X
fcis-13999	15	2	.	.	X
fcis-13999	15	3	introduction	introduction	NOUN
fcis-13999	15	4	hyperspectral	hyperspectral	ADJ
fcis-13999	15	5	imaging	imaging	NOUN
fcis-13999	15	6	(	(	PUNCT
fcis-13999	15	7	hsi	hsi	PROPN
fcis-13999	15	8	)	)	PUNCT
fcis-13999	15	9	,	,	PUNCT
fcis-13999	15	10	vital	vital	ADJ
fcis-13999	15	11	in	in	ADP
fcis-13999	15	12	remote	remote	ADJ
fcis-13999	15	13	sensing	sensing	NOUN
fcis-13999	15	14	,	,	PUNCT
fcis-13999	15	15	captures	capture	VERB
fcis-13999	15	16	electromagnetic	electromagnetic	ADJ
fcis-13999	15	17	spectrum	spectrum	NOUN
fcis-13999	15	18	data	datum	NOUN
fcis-13999	15	19	across	across	ADP
fcis-13999	15	20	visible	visible	ADJ
fcis-13999	15	21	to	to	ADP
fcis-13999	15	22	nearinfrared	nearinfrared	ADJ
fcis-13999	15	23	wavelengths	wavelength	NOUN
fcis-13999	15	24	.	.	PUNCT
fcis-13999	16	1	these	these	DET
fcis-13999	16	2	images	image	NOUN
fcis-13999	16	3	consist	consist	VERB
fcis-13999	16	4	of	of	ADP
fcis-13999	16	5	numerous	numerous	ADJ
fcis-13999	16	6	narrow	narrow	ADJ
fcis-13999	16	7	spectral	spectral	ADJ
fcis-13999	16	8	bands	band	NOUN
fcis-13999	16	9	,	,	PUNCT
fcis-13999	16	10	each	each	DET
fcis-13999	16	11	pixel	pixel	NOUN
fcis-13999	16	12	representing	represent	VERB
fcis-13999	16	13	a	a	DET
fcis-13999	16	14	highdimensional	highdimensional	ADJ
fcis-13999	16	15	vector	vector	NOUN
fcis-13999	16	16	denoting	denote	VERB
fcis-13999	16	17	spectral	spectral	ADJ
fcis-13999	16	18	reflectance[1	reflectance[1	NOUN
fcis-13999	16	19	,	,	PUNCT
fcis-13999	16	20	2	2	NUM
fcis-13999	16	21	]	]	PUNCT
fcis-13999	16	22	.	.	PUNCT
fcis-13999	17	1	with	with	ADP
fcis-13999	17	2	the	the	DET
fcis-13999	17	3	ability	ability	NOUN
fcis-13999	17	4	to	to	PART
fcis-13999	17	5	discern	discern	VERB
fcis-13999	17	6	subtle	subtle	ADJ
fcis-13999	17	7	spectral	spectral	ADJ
fcis-13999	17	8	differences	difference	NOUN
fcis-13999	17	9	,	,	PUNCT
fcis-13999	17	10	hyperspectral	hyperspectral	ADJ
fcis-13999	17	11	imaging	imaging	NOUN
fcis-13999	17	12	finds	find	VERB
fcis-13999	17	13	broad	broad	ADJ
fcis-13999	17	14	applications	application	NOUN
fcis-13999	17	15	.	.	PUNCT
fcis-13999	18	1	recent	recent	ADJ
fcis-13999	18	2	studies	study	NOUN
fcis-13999	18	3	highlight	highlight	VERB
fcis-13999	18	4	hsi	hsi	PROPN
fcis-13999	18	5	classification	classification	NOUN
fcis-13999	18	6	as	as	ADP
fcis-13999	18	7	a	a	DET
fcis-13999	18	8	dynamic	dynamic	ADJ
fcis-13999	18	9	research	research	NOUN
fcis-13999	18	10	area	area	NOUN
fcis-13999	18	11	,	,	PUNCT
fcis-13999	18	12	facing	face	VERB
fcis-13999	18	13	challenges	challenge	NOUN
fcis-13999	18	14	of	of	ADP
fcis-13999	18	15	large	large	ADJ
fcis-13999	18	16	spatial	spatial	ADJ
fcis-13999	18	17	variability	variability	NOUN
fcis-13999	18	18	in	in	ADP
fcis-13999	18	19	spectral	spectral	ADJ
fcis-13999	18	20	signatures	signature	NOUN
fcis-13999	18	21	and	and	CCONJ
fcis-13999	18	22	limited	limited	ADJ
fcis-13999	18	23	training	training	NOUN
fcis-13999	18	24	samples	sample	NOUN
fcis-13999	18	25	against	against	ADP
fcis-13999	18	26	high	high	ADJ
fcis-13999	18	27	data	datum	NOUN
fcis-13999	18	28	dimensionality[3	dimensionality[3	NOUN
fcis-13999	18	29	,	,	PUNCT
fcis-13999	18	30	4	4	NUM
fcis-13999	18	31	]	]	PUNCT
fcis-13999	18	32	.	.	PUNCT
fcis-13999	19	1	factors	factor	NOUN
fcis-13999	19	2	like	like	ADP
fcis-13999	19	3	illumination	illumination	NOUN
fcis-13999	19	4	changes	change	NOUN
fcis-13999	19	5	and	and	CCONJ
fcis-13999	19	6	environmental	environmental	ADJ
fcis-13999	19	7	conditions	condition	NOUN
fcis-13999	19	8	contribute	contribute	VERB
fcis-13999	19	9	to	to	ADP
fcis-13999	19	10	spatial	spatial	ADJ
fcis-13999	19	11	variability	variability	NOUN
fcis-13999	19	12	,	,	PUNCT
fcis-13999	19	13	while	while	SCONJ
fcis-13999	19	14	limited	limited	ADJ
fcis-13999	19	15	samples	sample	NOUN
fcis-13999	19	16	impact	impact	NOUN
fcis-13999	19	17	classifier	classifier	NOUN
fcis-13999	19	18	generalization	generalization	NOUN
fcis-13999	19	19	.	.	PUNCT
fcis-13999	20	1	early	early	ADJ
fcis-13999	20	2	hsi	hsi	PROPN
fcis-13999	20	3	classification	classification	NOUN
fcis-13999	20	4	methods	method	NOUN
fcis-13999	20	5	focused	focus	VERB
fcis-13999	20	6	on	on	ADP
fcis-13999	20	7	spectral	spectral	ADJ
fcis-13999	20	8	signatures	signature	NOUN
fcis-13999	20	9	,	,	PUNCT
fcis-13999	20	10	employing	employ	VERB
fcis-13999	20	11	pixel	pixel	ADJ
fcis-13999	20	12	-	-	ADJ
fcis-13999	20	13	wise	wise	ADJ
fcis-13999	20	14	classifiers	classifier	NOUN
fcis-13999	20	15	such	such	ADJ
fcis-13999	20	16	as	as	ADP
fcis-13999	20	17	neural	neural	ADJ
fcis-13999	20	18	networks	network	NOUN
fcis-13999	20	19	,	,	PUNCT
fcis-13999	20	20	support	support	VERB
fcis-13999	20	21	vector	vector	NOUN
fcis-13999	20	22	machines	machine	NOUN
fcis-13999	20	23	,	,	PUNCT
fcis-13999	20	24	and	and	CCONJ
fcis-13999	20	25	logistic	logistic	ADJ
fcis-13999	20	26	regression	regression	NOUN
fcis-13999	20	27	.	.	PUNCT
fcis-13999	21	1	some	some	DET
fcis-13999	21	2	methods	method	NOUN
fcis-13999	21	3	incorporated	incorporate	VERB
fcis-13999	21	4	feature	feature	NOUN
fcis-13999	21	5	extraction	extraction	NOUN
fcis-13999	21	6	techniques	technique	NOUN
fcis-13999	21	7	like	like	ADP
fcis-13999	21	8	pca	pca	PROPN
fcis-13999	21	9	,	,	PUNCT
fcis-13999	21	10	ica	ica	PROPN
fcis-13999	21	11	,	,	PUNCT
fcis-13999	21	12	and	and	CCONJ
fcis-13999	21	13	lda	lda	PROPN
fcis-13999	21	14	.	.	PUNCT
fcis-13999	22	1	however	however	ADV
fcis-13999	22	2	,	,	PUNCT
fcis-13999	22	3	pixel	pixel	ADJ
fcis-13999	22	4	-	-	ADJ
fcis-13999	22	5	wise	wise	ADJ
fcis-13999	22	6	classifiers	classifier	NOUN
fcis-13999	22	7	yielded	yield	VERB
fcis-13999	22	8	unsatisfactory	unsatisfactory	ADJ
fcis-13999	22	9	results	result	NOUN
fcis-13999	22	10	due	due	ADJ
fcis-13999	22	11	to	to	ADP
fcis-13999	22	12	neglecting	neglect	VERB
fcis-13999	22	13	spatial	spatial	ADJ
fcis-13999	22	14	contexts	contexts	NOUN
fcis-13999	22	15	.	.	PUNCT
fcis-13999	23	1	spatial	spatial	ADJ
fcis-13999	23	2	features	feature	NOUN
fcis-13999	23	3	recently	recently	ADV
fcis-13999	23	4	proved	prove	VERB
fcis-13999	23	5	crucial	crucial	ADJ
fcis-13999	23	6	for	for	ADP
fcis-13999	23	7	enhancing	enhance	VERB
fcis-13999	23	8	hyperspectral	hyperspectral	ADJ
fcis-13999	23	9	data	datum	NOUN
fcis-13999	23	10	representation	representation	NOUN
fcis-13999	23	11	and	and	CCONJ
fcis-13999	23	12	classification	classification	NOUN
fcis-13999	23	13	accuracies[5	accuracies[5	NOUN
fcis-13999	23	14	,	,	PUNCT
fcis-13999	23	15	6	6	NUM
fcis-13999	23	16	]	]	PUNCT
fcis-13999	23	17	.	.	PUNCT
fcis-13999	24	1	increasingly	increasingly	ADV
fcis-13999	24	2	,	,	PUNCT
fcis-13999	24	3	spectral	spectral	ADJ
fcis-13999	24	4	-	-	PUNCT
fcis-13999	24	5	spatial	spatial	ADJ
fcis-13999	24	6	features	feature	NOUN
fcis-13999	24	7	-	-	PUNCT
fcis-13999	24	8	based	base	VERB
fcis-13999	24	9	frameworks	framework	NOUN
fcis-13999	24	10	are	be	AUX
fcis-13999	24	11	developed	develop	VERB
fcis-13999	24	12	,	,	PUNCT
fcis-13999	24	13	integrating	integrate	VERB
fcis-13999	24	14	spatial	spatial	ADJ
fcis-13999	24	15	contextual	contextual	ADJ
fcis-13999	24	16	information	information	NOUN
fcis-13999	24	17	into	into	ADP
fcis-13999	24	18	pixel	pixel	ADJ
fcis-13999	24	19	-	-	ADJ
fcis-13999	24	20	wise	wise	ADJ
fcis-13999	24	21	classifiers	classifier	NOUN
fcis-13999	24	22	.	.	PUNCT
fcis-13999	25	1	notably	notably	ADV
fcis-13999	25	2	,	,	PUNCT
fcis-13999	25	3	techniques	technique	NOUN
fcis-13999	25	4	like	like	ADP
fcis-13999	25	5	extended	extend	VERB
fcis-13999	25	6	morphological	morphological	ADJ
fcis-13999	25	7	profiles	profile	NOUN
fcis-13999	25	8	(	(	PUNCT
fcis-13999	25	9	emps)[7	emps)[7	X
fcis-13999	25	10	]	]	X
fcis-13999	25	11	,	,	PUNCT
fcis-13999	25	12	multiple	multiple	ADJ
fcis-13999	25	13	kernel	kernel	PROPN
fcis-13999	25	14	learning	learning	PROPN
fcis-13999	25	15	,	,	PUNCT
fcis-13999	25	16	and	and	CCONJ
fcis-13999	25	17	edge	edge	NOUN
fcis-13999	25	18	-	-	PUNCT
fcis-13999	25	19	preserving	preserve	VERB
fcis-13999	25	20	filtering[8	filtering[8	NOUN
fcis-13999	25	21	]	]	PUNCT
fcis-13999	25	22	have	have	AUX
fcis-13999	25	23	been	be	AUX
fcis-13999	25	24	employed	employ	VERB
fcis-13999	25	25	.	.	PUNCT
fcis-13999	26	1	in[9	in[9	PROPN
fcis-13999	26	2	]	]	PUNCT
fcis-13999	26	3	,	,	PUNCT
fcis-13999	26	4	spatial	spatial	ADJ
fcis-13999	26	5	information	information	NOUN
fcis-13999	26	6	from	from	ADP
fcis-13999	26	7	neighboring	neighboring	NOUN
fcis-13999	26	8	regions	region	NOUN
fcis-13999	26	9	was	be	AUX
fcis-13999	26	10	incorporated	incorporate	VERB
fcis-13999	26	11	into	into	ADP
fcis-13999	26	12	sparse	sparse	ADJ
fcis-13999	26	13	representation	representation	NOUN
fcis-13999	26	14	models	model	NOUN
fcis-13999	26	15	,	,	PUNCT
fcis-13999	26	16	recognizing	recognize	VERB
fcis-13999	26	17	that	that	SCONJ
fcis-13999	26	18	hyperspectral	hyperspectral	ADJ
fcis-13999	26	19	pixels	pixel	NOUN
fcis-13999	26	20	often	often	ADV
fcis-13999	26	21	form	form	VERB
fcis-13999	26	22	linear	linear	ADJ
fcis-13999	26	23	combinations	combination	NOUN
fcis-13999	26	24	from	from	ADP
fcis-13999	26	25	the	the	DET
fcis-13999	26	26	same	same	ADJ
fcis-13999	26	27	class	class	NOUN
fcis-13999	26	28	.	.	PUNCT
fcis-13999	27	1	spatial	spatial	ADJ
fcis-13999	27	2	consistency	consistency	NOUN
fcis-13999	27	3	was	be	AUX
fcis-13999	27	4	further	far	ADV
fcis-13999	27	5	explored	explore	VERB
fcis-13999	27	6	by	by	ADP
fcis-13999	27	7	segmenting	segment	VERB
fcis-13999	27	8	hsis	hsis	NOUN
fcis-13999	27	9	into	into	ADP
fcis-13999	27	10	super	super	ADJ
fcis-13999	27	11	pixels	pixel	NOUN
fcis-13999	27	12	based	base	VERB
fcis-13999	27	13	on	on	ADP
fcis-13999	27	14	intensity	intensity	NOUN
fcis-13999	27	15	or	or	CCONJ
fcis-13999	27	16	texture	texture	NOUN
fcis-13999	27	17	similarity[10	similarity[10	NOUN
fcis-13999	27	18	]	]	PUNCT
fcis-13999	27	19	.	.	PUNCT
fcis-13999	28	1	while	while	SCONJ
fcis-13999	28	2	spectral	spectral	ADJ
fcis-13999	28	3	-	-	PUNCT
fcis-13999	28	4	spatial	spatial	ADJ
fcis-13999	28	5	methods	method	NOUN
fcis-13999	28	6	demonstrated	demonstrate	VERB
fcis-13999	28	7	good	good	ADJ
fcis-13999	28	8	performance	performance	NOUN
fcis-13999	28	9	,	,	PUNCT
fcis-13999	28	10	reliance	reliance	NOUN
fcis-13999	28	11	on	on	ADP
fcis-13999	28	12	handcrafted	handcrafted	ADJ
fcis-13999	28	13	or	or	CCONJ
fcis-13999	28	14	shallow	shallow	ADJ
fcis-13999	28	15	descriptors	descriptor	NOUN
fcis-13999	28	16	limits	limit	VERB
fcis-13999	28	17	their	their	PRON
fcis-13999	28	18	applicability	applicability	NOUN
fcis-13999	28	19	in	in	ADP
fcis-13999	28	20	challenging	challenge	VERB
fcis-13999	28	21	scenarios	scenario	NOUN
fcis-13999	28	22	.	.	PUNCT
fcis-13999	29	1	hand	hand	NOUN
fcis-13999	29	2	-	-	PUNCT
fcis-13999	29	3	crafted	craft	VERB
fcis-13999	29	4	features	feature	NOUN
fcis-13999	29	5	,	,	PUNCT
fcis-13999	29	6	tailored	tailor	VERB
fcis-13999	29	7	for	for	ADP
fcis-13999	29	8	specific	specific	ADJ
fcis-13999	29	9	tasks	task	NOUN
fcis-13999	29	10	,	,	PUNCT
fcis-13999	29	11	may	may	AUX
fcis-13999	29	12	lack	lack	VERB
fcis-13999	29	13	the	the	DET
fcis-13999	29	14	ability	ability	NOUN
fcis-13999	29	15	to	to	PART
fcis-13999	29	16	discriminate	discriminate	VERB
fcis-13999	29	17	subtle	subtle	ADJ
fcis-13999	29	18	class	class	NOUN
fcis-13999	29	19	variations	variation	NOUN
fcis-13999	29	20	or	or	CCONJ
fcis-13999	29	21	handle	handle	VERB
fcis-13999	29	22	large	large	ADJ
fcis-13999	29	23	intra	intra	ADJ
fcis-13999	29	24	-	-	ADJ
fcis-13999	29	25	class	class	ADJ
fcis-13999	29	26	variations	variation	NOUN
fcis-13999	29	27	.	.	PUNCT
fcis-13999	30	1	extracting	extract	VERB
fcis-13999	30	2	more	more	ADJ
fcis-13999	30	3	discriminative	discriminative	NOUN
fcis-13999	30	4	features	feature	NOUN
fcis-13999	30	5	is	be	AUX
fcis-13999	30	6	crucial	crucial	ADJ
fcis-13999	30	7	for	for	ADP
fcis-13999	30	8	enhancing	enhance	VERB
fcis-13999	30	9	hsi	hsi	PROPN
fcis-13999	30	10	classification	classification	NOUN
fcis-13999	30	11	.	.	PUNCT
fcis-13999	31	1	data	datum	NOUN
fcis-13999	31	2	-	-	PUNCT
fcis-13999	31	3	driven	drive	VERB
fcis-13999	31	4	method	method	NOUN
fcis-13999	31	5	,	,	PUNCT
fcis-13999	31	6	specifically	specifically	ADV
fcis-13999	31	7	the	the	DET
fcis-13999	31	8	deep	deep	ADJ
fcis-13999	31	9	learning	learning	NOUN
fcis-13999	31	10	,	,	PUNCT
fcis-13999	31	11	is	be	AUX
fcis-13999	31	12	a	a	DET
fcis-13999	31	13	growing	grow	VERB
fcis-13999	31	14	trend	trend	NOUN
fcis-13999	31	15	in	in	ADP
fcis-13999	31	16	big	big	ADJ
fcis-13999	31	17	data	datum	NOUN
fcis-13999	31	18	analysis	analysis	NOUN
fcis-13999	31	19	,	,	PUNCT
fcis-13999	31	20	demonstrating	demonstrate	VERB
fcis-13999	31	21	breakthroughs	breakthrough	NOUN
fcis-13999	31	22	in	in	ADP
fcis-13999	31	23	various	various	ADJ
fcis-13999	31	24	computer	computer	NOUN
fcis-13999	31	25	vision	vision	NOUN
fcis-13999	31	26	tasks	task	NOUN
fcis-13999	31	27	such	such	ADJ
fcis-13999	31	28	as	as	ADP
fcis-13999	31	29	image	image	NOUN
fcis-13999	31	30	classification[11	classification[11	NOUN
fcis-13999	31	31	-	-	NOUN
fcis-13999	31	32	14	14	NUM
fcis-13999	31	33	]	]	PUNCT
fcis-13999	31	34	,	,	PUNCT
fcis-13999	31	35	object	object	NOUN
fcis-13999	31	36	detection	detection	NOUN
fcis-13999	31	37	,	,	PUNCT
fcis-13999	31	38	natural	natural	ADJ
fcis-13999	31	39	language	language	NOUN
fcis-13999	31	40	processing[15	processing[15	NOUN
fcis-13999	31	41	]	]	X
fcis-13999	31	42	,	,	PUNCT
fcis-13999	31	43	agricultural	agricultural	ADJ
fcis-13999	31	44	crop	crop	NOUN
fcis-13999	31	45	management[6	management[6	NOUN
fcis-13999	31	46	]	]	PUNCT
fcis-13999	31	47	and	and	CCONJ
fcis-13999	31	48	financial	financial	ADJ
fcis-13999	31	49	risk	risk	NOUN
fcis-13999	31	50	prevention[14	prevention[14	PROPN
fcis-13999	31	51	]	]	PUNCT
fcis-13999	31	52	.	.	PUNCT
fcis-13999	32	1	motivated	motivate	VERB
fcis-13999	32	2	by	by	ADP
fcis-13999	32	3	these	these	DET
fcis-13999	32	4	successes	success	NOUN
fcis-13999	32	5	,	,	PUNCT
fcis-13999	32	6	deep	deep	ADJ
fcis-13999	32	7	learning	learning	NOUN
fcis-13999	32	8	has	have	AUX
fcis-13999	32	9	been	be	AUX
fcis-13999	32	10	applied	apply	VERB
fcis-13999	32	11	to	to	ADP
fcis-13999	32	12	hyperspectral	hyperspectral	ADJ
fcis-13999	32	13	image	image	NOUN
fcis-13999	32	14	classification	classification	NOUN
fcis-13999	32	15	with	with	ADP
fcis-13999	32	16	notable	notable	ADJ
fcis-13999	32	17	performance	performance	NOUN
fcis-13999	32	18	.	.	PUNCT
fcis-13999	33	1	fig	fig	NOUN
fcis-13999	33	2	1	1	NUM
fcis-13999	33	3	illustrates	illustrate	VERB
fcis-13999	33	4	the	the	DET
fcis-13999	33	5	increasing	increase	VERB
fcis-13999	33	6	publication	publication	NOUN
fcis-13999	33	7	trend	trend	NOUN
fcis-13999	33	8	in	in	ADP
fcis-13999	33	9	deep	deep	ADJ
fcis-13999	33	10	learning	learning	NOUN
fcis-13999	33	11	-	-	PUNCT
fcis-13999	33	12	based	base	VERB
fcis-13999	33	13	hsi	hsi	PROPN
fcis-13999	33	14	classification	classification	NOUN
fcis-13999	33	15	,	,	PUNCT
fcis-13999	33	16	indicating	indicate	VERB
fcis-13999	33	17	continued	continue	VERB
fcis-13999	33	18	exploration	exploration	NOUN
fcis-13999	33	19	and	and	CCONJ
fcis-13999	33	20	research	research	NOUN
fcis-13999	33	21	in	in	ADP
fcis-13999	33	22	this	this	DET
fcis-13999	33	23	area	area	NOUN
fcis-13999	33	24	.	.	PUNCT
fcis-13999	34	1	unlike	unlike	ADP
fcis-13999	34	2	traditional	traditional	ADJ
fcis-13999	34	3	hand	hand	NOUN
fcis-13999	34	4	-	-	PUNCT
fcis-13999	34	5	crafted	craft	VERB
fcis-13999	34	6	methods	method	NOUN
fcis-13999	34	7	,	,	PUNCT
fcis-13999	34	8	deep	deep	ADJ
fcis-13999	34	9	learning	learning	NOUN
fcis-13999	34	10	extracts	extract	NOUN
fcis-13999	34	11	informative	informative	ADJ
fcis-13999	34	12	features	feature	VERB
fcis-13999	34	13	automatically	automatically	ADV
fcis-13999	34	14	through	through	ADP
fcis-13999	34	15	hierarchical	hierarchical	ADJ
fcis-13999	34	16	layers	layer	NOUN
fcis-13999	34	17	,	,	PUNCT
fcis-13999	34	18	starting	start	VERB
fcis-13999	34	19	with	with	ADP
fcis-13999	34	20	simple	simple	ADJ
fcis-13999	34	21	features	feature	NOUN
fcis-13999	34	22	like	like	ADP
fcis-13999	34	23	texture	texture	NOUN
fcis-13999	34	24	and	and	CCONJ
fcis-13999	34	25	edge	edge	NOUN
fcis-13999	34	26	information	information	NOUN
fcis-13999	34	27	in	in	ADP
fcis-13999	34	28	earlier	early	ADJ
fcis-13999	34	29	layers	layer	NOUN
fcis-13999	34	30	and	and	CCONJ
fcis-13999	34	31	progressing	progress	VERB
fcis-13999	34	32	to	to	ADP
fcis-13999	34	33	more	more	ADV
fcis-13999	34	34	complex	complex	ADJ
fcis-13999	34	35	features	feature	NOUN
fcis-13999	34	36	in	in	ADP
fcis-13999	34	37	deeper	deep	ADJ
fcis-13999	34	38	layers	layer	NOUN
fcis-13999	34	39	.	.	PUNCT
fcis-13999	35	1	this	this	DET
fcis-13999	35	2	automatic	automatic	ADJ
fcis-13999	35	3	learning	learning	NOUN
fcis-13999	35	4	process	process	NOUN
fcis-13999	35	5	makes	make	VERB
fcis-13999	35	6	deep	deep	ADJ
fcis-13999	35	7	learning	learn	VERB
fcis-13999	35	8	well	well	ADV
fcis-13999	35	9	-	-	PUNCT
fcis-13999	35	10	suited	suit	VERB
fcis-13999	35	11	for	for	ADP
fcis-13999	35	12	handling	handle	VERB
fcis-13999	35	13	diverse	diverse	ADJ
fcis-13999	35	14	situations	situation	NOUN
fcis-13999	35	15	.	.	PUNCT
fcis-13999	36	1	overall	overall	ADJ
fcis-13999	36	2	,	,	PUNCT
fcis-13999	36	3	deep	deep	ADJ
fcis-13999	36	4	learning	learning	NOUN
fcis-13999	36	5	is	be	AUX
fcis-13999	36	6	recognized	recognize	VERB
fcis-13999	36	7	as	as	ADP
fcis-13999	36	8	an	an	DET
fcis-13999	36	9	effective	effective	ADJ
fcis-13999	36	10	feature	feature	NOUN
fcis-13999	36	11	extraction	extraction	NOUN
fcis-13999	36	12	approach	approach	NOUN
fcis-13999	36	13	for	for	ADP
fcis-13999	36	14	hsi	hsi	PROPN
fcis-13999	36	15	classification	classification	NOUN
fcis-13999	36	16	,	,	PUNCT
fcis-13999	36	17	with	with	ADP
fcis-13999	36	18	different	different	ADJ
fcis-13999	36	19	networks	network	NOUN
fcis-13999	36	20	focusing	focus	VERB
fcis-13999	36	21	on	on	ADP
fcis-13999	36	22	extracting	extract	VERB
fcis-13999	36	23	various	various	ADJ
fcis-13999	36	24	feature	feature	NOUN
fcis-13999	36	25	types	type	NOUN
fcis-13999	36	26	.	.	PUNCT
fcis-13999	37	1	2	2	X
fcis-13999	37	2	.	.	X
fcis-13999	37	3	data	data	NOUN
fcis-13999	37	4	-	-	PUNCT
fcis-13999	37	5	driven	drive	VERB
fcis-13999	37	6	approach	approach	NOUN
fcis-13999	37	7	and	and	CCONJ
fcis-13999	37	8	models	model	NOUN
fcis-13999	37	9	this	this	DET
fcis-13999	37	10	section	section	NOUN
fcis-13999	37	11	provides	provide	VERB
fcis-13999	37	12	a	a	DET
fcis-13999	37	13	brief	brief	ADJ
fcis-13999	37	14	overview	overview	NOUN
fcis-13999	37	15	of	of	ADP
fcis-13999	37	16	widely	widely	ADV
fcis-13999	37	17	used	use	VERB
fcis-13999	37	18	deep	deep	ADJ
fcis-13999	37	19	network	network	NOUN
fcis-13999	37	20	models	model	NOUN
fcis-13999	37	21	in	in	ADP
fcis-13999	37	22	hsi	hsi	PROPN
fcis-13999	37	23	classification	classification	NOUN
fcis-13999	37	24	,	,	PUNCT
fcis-13999	37	25	like	like	ADP
fcis-13999	37	26	stacked	stack	VERB
fcis-13999	37	27	autoencoders	autoencoder	NOUN
fcis-13999	37	28	(	(	PUNCT
fcis-13999	37	29	saes	saes	PROPN
fcis-13999	37	30	)	)	PUNCT
fcis-13999	37	31	,	,	PUNCT
fcis-13999	37	32	deep	deep	ADJ
fcis-13999	37	33	belief	belief	NOUN
fcis-13999	37	34	networks	network	NOUN
fcis-13999	37	35	(	(	PUNCT
fcis-13999	37	36	dbns	dbns	PROPN
fcis-13999	37	37	)	)	PUNCT
fcis-13999	37	38	,	,	PUNCT
fcis-13999	37	39	and	and	CCONJ
fcis-13999	37	40	generative	generative	VERB
fcis-13999	37	41	adversarial	adversarial	ADJ
fcis-13999	37	42	networks	network	NOUN
fcis-13999	37	43	(	(	PUNCT
fcis-13999	37	44	gans	gan	NOUN
fcis-13999	37	45	)	)	PUNCT
fcis-13999	37	46	.	.	PUNCT
fcis-13999	38	1	the	the	DET
fcis-13999	38	2	auto	auto	NOUN
fcis-13999	38	3	-	-	PUNCT
fcis-13999	38	4	encoder	encoder	NOUN
fcis-13999	38	5	108	108	NUM
fcis-13999	38	6	(	(	PUNCT
fcis-13999	38	7	ae	ae	PROPN
fcis-13999	38	8	)	)	PUNCT
fcis-13999	38	9	is	be	AUX
fcis-13999	38	10	a	a	DET
fcis-13999	38	11	fundamental	fundamental	ADJ
fcis-13999	38	12	component	component	NOUN
fcis-13999	38	13	of	of	ADP
fcis-13999	38	14	the	the	DET
fcis-13999	38	15	stacked	stack	VERB
fcis-13999	38	16	ae	ae	PROPN
fcis-13999	38	17	(	(	PUNCT
fcis-13999	38	18	sae	sae	PROPN
fcis-13999	38	19	)	)	PUNCT
fcis-13999	39	1	[	[	X
fcis-13999	39	2	16	16	NUM
fcis-13999	39	3	-	-	SYM
fcis-13999	39	4	18	18	NUM
fcis-13999	39	5	]	]	PUNCT
fcis-13999	39	6	.	.	PUNCT
fcis-13999	40	1	an	an	DET
fcis-13999	40	2	ae	ae	PROPN
fcis-13999	40	3	comprises	comprise	VERB
fcis-13999	40	4	one	one	NUM
fcis-13999	40	5	visible	visible	ADJ
fcis-13999	40	6	layer	layer	NOUN
fcis-13999	40	7	with	with	ADP
fcis-13999	40	8	d	d	PROPN
fcis-13999	40	9	inputs	input	NOUN
fcis-13999	40	10	,	,	PUNCT
fcis-13999	40	11	one	one	NUM
fcis-13999	40	12	hidden	hide	VERB
fcis-13999	40	13	layer	layer	NOUN
fcis-13999	40	14	with	with	ADP
fcis-13999	40	15	l	l	NOUN
fcis-13999	40	16	units	unit	NOUN
fcis-13999	40	17	,	,	PUNCT
fcis-13999	40	18	and	and	CCONJ
fcis-13999	40	19	one	one	NUM
fcis-13999	40	20	reconstruction	reconstruction	NOUN
fcis-13999	40	21	layer	layer	NOUN
fcis-13999	40	22	with	with	ADP
fcis-13999	40	23	d	d	PROPN
fcis-13999	40	24	units	unit	NOUN
fcis-13999	40	25	.	.	PUNCT
fcis-13999	41	1	training	training	NOUN
fcis-13999	41	2	involves	involve	VERB
fcis-13999	41	3	mapping	mapping	NOUN
fcis-13999	41	4	x	x	SYM
fcis-13999	41	5	∈	∈	PROPN
fcis-13999	41	6	ird	ird	PROPN
fcis-13999	41	7	to	to	ADP
fcis-13999	41	8	h	h	PROPN
fcis-13999	41	9	∈	∈	PROPN
fcis-13999	41	10	irl	irl	PROPN
fcis-13999	41	11	in	in	ADP
fcis-13999	41	12	the	the	DET
fcis-13999	41	13	hidden	hide	VERB
fcis-13999	41	14	layer	layer	NOUN
fcis-13999	41	15	.	.	PUNCT
fcis-13999	42	1	saes	sae	NOUN
fcis-13999	42	2	are	be	AUX
fcis-13999	42	3	formed	form	VERB
fcis-13999	42	4	by	by	ADP
fcis-13999	42	5	stacking	stack	VERB
fcis-13999	42	6	multiple	multiple	ADJ
fcis-13999	42	7	aes	aes	PROPN
fcis-13999	42	8	,	,	PUNCT
fcis-13999	42	9	connecting	connect	VERB
fcis-13999	42	10	the	the	DET
fcis-13999	42	11	output	output	NOUN
fcis-13999	42	12	of	of	ADP
fcis-13999	42	13	one	one	NUM
fcis-13999	42	14	layer	layer	NOUN
fcis-13999	42	15	to	to	ADP
fcis-13999	42	16	the	the	DET
fcis-13999	42	17	input	input	NOUN
fcis-13999	42	18	of	of	ADP
fcis-13999	42	19	the	the	DET
fcis-13999	42	20	next	next	ADJ
fcis-13999	42	21	.	.	PUNCT
fcis-13999	43	1	fig	fig	NOUN
fcis-13999	43	2	1	1	NUM
fcis-13999	43	3	.	.	PUNCT
fcis-13999	44	1	a	a	DET
fcis-13999	44	2	general	general	ADJ
fcis-13999	44	3	illustration	illustration	NOUN
fcis-13999	44	4	of	of	ADP
fcis-13999	44	5	an	an	DET
fcis-13999	44	6	sae	sae	PROPN
fcis-13999	44	7	connected	connect	VERB
fcis-13999	44	8	with	with	ADP
fcis-13999	44	9	a	a	DET
fcis-13999	44	10	subsequent	subsequent	ADJ
fcis-13999	44	11	logistic	logistic	ADJ
fcis-13999	44	12	regression	regression	NOUN
fcis-13999	44	13	classifier	classifier	NOUN
fcis-13999	44	14	the	the	DET
fcis-13999	44	15	restricted	restricted	ADJ
fcis-13999	44	16	boltzmann	boltzmann	PROPN
fcis-13999	44	17	machine	machine	NOUN
fcis-13999	44	18	(	(	PUNCT
fcis-13999	44	19	rbm	rbm	PROPN
fcis-13999	44	20	)	)	PUNCT
fcis-13999	44	21	serves	serve	VERB
fcis-13999	44	22	as	as	ADP
fcis-13999	44	23	the	the	DET
fcis-13999	44	24	fundamental	fundamental	ADJ
fcis-13999	44	25	unit	unit	NOUN
fcis-13999	44	26	in	in	ADP
fcis-13999	44	27	a	a	DET
fcis-13999	44	28	layer	layer	NOUN
fcis-13999	44	29	-	-	PUNCT
fcis-13999	44	30	wise	wise	ADJ
fcis-13999	44	31	training	training	NOUN
fcis-13999	44	32	model	model	NOUN
fcis-13999	44	33	and	and	CCONJ
fcis-13999	44	34	is	be	AUX
fcis-13999	44	35	integral	integral	ADJ
fcis-13999	44	36	to	to	ADP
fcis-13999	44	37	constructing	construct	VERB
fcis-13999	44	38	a	a	DET
fcis-13999	44	39	deep	deep	ADJ
fcis-13999	44	40	belief	belief	NOUN
fcis-13999	44	41	network	network	NOUN
fcis-13999	44	42	(	(	PUNCT
fcis-13999	44	43	dbn	dbn	PROPN
fcis-13999	44	44	)	)	PUNCT
fcis-13999	44	45	.	.	PUNCT
fcis-13999	45	1	to	to	PART
fcis-13999	45	2	enhance	enhance	VERB
fcis-13999	45	3	the	the	DET
fcis-13999	45	4	feature	feature	NOUN
fcis-13999	45	5	representation	representation	NOUN
fcis-13999	45	6	capability	capability	NOUN
fcis-13999	45	7	,	,	PUNCT
fcis-13999	45	8	multiple	multiple	ADJ
fcis-13999	45	9	rbms	rbms	NOUN
fcis-13999	45	10	can	can	AUX
fcis-13999	45	11	be	be	AUX
fcis-13999	45	12	stacked	stack	VERB
fcis-13999	45	13	to	to	PART
fcis-13999	45	14	form	form	VERB
fcis-13999	45	15	a	a	DET
fcis-13999	45	16	dbn	dbn	NOUN
fcis-13999	45	17	,	,	PUNCT
fcis-13999	45	18	creating	create	VERB
fcis-13999	45	19	a	a	DET
fcis-13999	45	20	deep	deep	ADJ
fcis-13999	45	21	hierarchical	hierarchical	ADJ
fcis-13999	45	22	representation	representation	NOUN
fcis-13999	45	23	of	of	ADP
fcis-13999	45	24	the	the	DET
fcis-13999	45	25	training	training	NOUN
fcis-13999	45	26	data	datum	NOUN
fcis-13999	45	27	.	.	PUNCT
fcis-13999	46	1	for	for	ADP
fcis-13999	46	2	classification	classification	NOUN
fcis-13999	46	3	purposes	purpose	NOUN
fcis-13999	46	4	,	,	PUNCT
fcis-13999	46	5	a	a	DET
fcis-13999	46	6	logistic	logistic	ADJ
fcis-13999	46	7	regression	regression	NOUN
fcis-13999	46	8	layer	layer	NOUN
fcis-13999	46	9	can	can	AUX
fcis-13999	46	10	be	be	AUX
fcis-13999	46	11	added	add	VERB
fcis-13999	46	12	to	to	ADP
fcis-13999	46	13	the	the	DET
fcis-13999	46	14	end	end	NOUN
fcis-13999	46	15	of	of	ADP
fcis-13999	46	16	the	the	DET
fcis-13999	46	17	dbn	dbn	NOUN
fcis-13999	46	18	,	,	PUNCT
fcis-13999	46	19	forming	form	VERB
fcis-13999	46	20	a	a	DET
fcis-13999	46	21	spectral	spectral	ADJ
fcis-13999	46	22	classifier	classifier	NOUN
fcis-13999	46	23	.	.	PUNCT
fcis-13999	47	1	in	in	ADP
fcis-13999	47	2	machine	machine	NOUN
fcis-13999	47	3	learning	learning	NOUN
fcis-13999	47	4	,	,	PUNCT
fcis-13999	47	5	two	two	NUM
fcis-13999	47	6	main	main	ADJ
fcis-13999	47	7	model	model	NOUN
fcis-13999	47	8	classes	class	NOUN
fcis-13999	47	9	exist	exist	VERB
fcis-13999	47	10	:	:	PUNCT
fcis-13999	47	11	generative	generative	ADJ
fcis-13999	47	12	approaches	approach	NOUN
fcis-13999	47	13	,	,	PUNCT
fcis-13999	47	14	which	which	PRON
fcis-13999	47	15	learn	learn	VERB
fcis-13999	47	16	distribution	distribution	NOUN
fcis-13999	47	17	parameters	parameter	NOUN
fcis-13999	47	18	to	to	PART
fcis-13999	47	19	generate	generate	VERB
fcis-13999	47	20	new	new	ADJ
fcis-13999	47	21	samples	sample	NOUN
fcis-13999	47	22	,	,	PUNCT
fcis-13999	47	23	and	and	CCONJ
fcis-13999	47	24	discriminative	discriminative	NOUN
fcis-13999	47	25	approaches	approach	NOUN
fcis-13999	47	26	,	,	PUNCT
fcis-13999	47	27	which	which	DET
fcis-13999	47	28	model	model	VERB
fcis-13999	47	29	label	label	NOUN
fcis-13999	47	30	dependence	dependence	NOUN
fcis-13999	47	31	on	on	ADP
fcis-13999	47	32	training	training	NOUN
fcis-13999	47	33	data	datum	NOUN
fcis-13999	47	34	(	(	PUNCT
fcis-13999	47	35	i.e.	i.e.	X
fcis-13999	47	36	,	,	PUNCT
fcis-13999	47	37	x	x	X
fcis-13999	47	38	)	)	PUNCT
fcis-13999	47	39	for	for	ADP
fcis-13999	47	40	predicting	predict	VERB
fcis-13999	47	41	labels	label	NOUN
fcis-13999	47	42	from	from	ADP
fcis-13999	47	43	data	datum	NOUN
fcis-13999	47	44	samples	sample	NOUN
fcis-13999	47	45	.	.	PUNCT
fcis-13999	48	1	gans	gan	NOUN
fcis-13999	48	2	,	,	PUNCT
fcis-13999	48	3	a	a	DET
fcis-13999	48	4	recent	recent	ADJ
fcis-13999	48	5	model	model	NOUN
fcis-13999	48	6	,	,	PUNCT
fcis-13999	48	7	consist	consist	VERB
fcis-13999	48	8	of	of	ADP
fcis-13999	48	9	a	a	DET
fcis-13999	48	10	generative	generative	ADJ
fcis-13999	48	11	model	model	NOUN
fcis-13999	48	12	(	(	PUNCT
fcis-13999	48	13	g	g	NOUN
fcis-13999	48	14	)	)	PUNCT
fcis-13999	48	15	and	and	CCONJ
fcis-13999	48	16	a	a	DET
fcis-13999	48	17	discriminative	discriminative	NOUN
fcis-13999	48	18	model	model	NOUN
fcis-13999	48	19	(	(	PUNCT
fcis-13999	48	20	d	d	NOUN
fcis-13999	48	21	)	)	PUNCT
fcis-13999	49	1	[	[	X
fcis-13999	49	2	19	19	NUM
fcis-13999	49	3	]	]	PUNCT
fcis-13999	49	4	.	.	PUNCT
fcis-13999	50	1	these	these	DET
fcis-13999	50	2	models	model	NOUN
fcis-13999	50	3	are	be	AUX
fcis-13999	50	4	trained	train	VERB
fcis-13999	50	5	adversarially	adversarially	ADV
fcis-13999	50	6	,	,	PUNCT
fcis-13999	50	7	with	with	ADP
fcis-13999	50	8	g	g	PROPN
fcis-13999	50	9	generating	generate	VERB
fcis-13999	50	10	fake	fake	ADJ
fcis-13999	50	11	inputs	input	NOUN
fcis-13999	50	12	to	to	PART
fcis-13999	50	13	resemble	resemble	VERB
fcis-13999	50	14	real	real	ADJ
fcis-13999	50	15	ones	one	NOUN
fcis-13999	50	16	,	,	PUNCT
fcis-13999	50	17	while	while	SCONJ
fcis-13999	50	18	d	d	PROPN
fcis-13999	50	19	distinguishes	distinguish	VERB
fcis-13999	50	20	between	between	ADP
fcis-13999	50	21	real	real	ADJ
fcis-13999	50	22	and	and	CCONJ
fcis-13999	50	23	fake	fake	ADJ
fcis-13999	50	24	inputs	input	NOUN
fcis-13999	50	25	.	.	PUNCT
fcis-13999	51	1	this	this	DET
fcis-13999	51	2	adversarial	adversarial	ADJ
fcis-13999	51	3	competition	competition	NOUN
fcis-13999	51	4	ensures	ensure	VERB
fcis-13999	51	5	continuous	continuous	ADJ
fcis-13999	51	6	and	and	CCONJ
fcis-13999	51	7	effective	effective	ADJ
fcis-13999	51	8	training	training	NOUN
fcis-13999	51	9	of	of	ADP
fcis-13999	51	10	the	the	DET
fcis-13999	51	11	discriminator	discriminator	NOUN
fcis-13999	51	12	.	.	PUNCT
fcis-13999	52	1	gan	gan	PROPN
fcis-13999	52	2	-	-	PUNCT
fcis-13999	52	3	based	base	VERB
fcis-13999	52	4	hsi	hsi	PROPN
fcis-13999	52	5	classification	classification	NOUN
fcis-13999	52	6	framework	framework	NOUN
fcis-13999	52	7	means	mean	VERB
fcis-13999	52	8	the	the	DET
fcis-13999	52	9	generator	generator	NOUN
fcis-13999	52	10	g	g	PROPN
fcis-13999	52	11	accepts	accept	VERB
fcis-13999	52	12	hsi	hsi	PROPN
fcis-13999	52	13	class	class	NOUN
fcis-13999	52	14	labels	label	NOUN
fcis-13999	52	15	(	(	PUNCT
fcis-13999	52	16	c	c	NOUN
fcis-13999	52	17	)	)	PUNCT
fcis-13999	52	18	along	along	ADP
fcis-13999	52	19	with	with	ADP
fcis-13999	52	20	noise	noise	NOUN
fcis-13999	52	21	(	(	PUNCT
fcis-13999	52	22	z	z	NOUN
fcis-13999	52	23	)	)	PUNCT
fcis-13999	52	24	,	,	PUNCT
fcis-13999	52	25	and	and	CCONJ
fcis-13999	52	26	its	its	PRON
fcis-13999	52	27	output	output	NOUN
fcis-13999	52	28	is	be	AUX
fcis-13999	52	29	defined	define	VERB
fcis-13999	52	30	accordingly	accordingly	ADV
fcis-13999	52	31	.	.	PUNCT
fcis-13999	53	1	the	the	DET
fcis-13999	53	2	discriminator	discriminator	NOUN
fcis-13999	53	3	d	d	PROPN
fcis-13999	53	4	is	be	AUX
fcis-13999	53	5	trained	train	VERB
fcis-13999	53	6	using	use	VERB
fcis-13999	53	7	both	both	DET
fcis-13999	53	8	real	real	ADJ
fcis-13999	53	9	samples	sample	NOUN
fcis-13999	53	10	with	with	ADP
fcis-13999	53	11	class	class	NOUN
fcis-13999	53	12	labels	label	NOUN
fcis-13999	53	13	and	and	CCONJ
fcis-13999	53	14	fake	fake	ADJ
fcis-13999	53	15	data	datum	NOUN
fcis-13999	53	16	generated	generate	VERB
fcis-13999	53	17	by	by	ADP
fcis-13999	53	18	g.	g.	PROPN
fcis-13999	53	19	3	3	NUM
fcis-13999	53	20	.	.	PUNCT
fcis-13999	54	1	deep	deep	ADJ
fcis-13999	54	2	networks	network	NOUN
fcis-13999	54	3	-	-	PUNCT
fcis-13999	54	4	based	base	VERB
fcis-13999	54	5	hsi	hsi	PROPN
fcis-13999	54	6	classification	classification	NOUN
fcis-13999	54	7	deep	deep	ADJ
fcis-13999	54	8	learning	learning	NOUN
fcis-13999	54	9	,	,	PUNCT
fcis-13999	54	10	highly	highly	ADV
fcis-13999	54	11	successful	successful	ADJ
fcis-13999	54	12	in	in	ADP
fcis-13999	54	13	computer	computer	NOUN
fcis-13999	54	14	vision[20	vision[20	NOUN
fcis-13999	54	15	]	]	PUNCT
fcis-13999	54	16	,	,	PUNCT
fcis-13999	54	17	has	have	AUX
fcis-13999	54	18	been	be	AUX
fcis-13999	54	19	applied	apply	VERB
fcis-13999	54	20	to	to	ADP
fcis-13999	54	21	hyperspectral	hyperspectral	ADJ
fcis-13999	54	22	image	image	NOUN
fcis-13999	54	23	(	(	PUNCT
fcis-13999	54	24	hsi	hsi	NOUN
fcis-13999	54	25	)	)	PUNCT
fcis-13999	54	26	classification	classification	NOUN
fcis-13999	54	27	in	in	ADP
fcis-13999	54	28	remote	remote	ADJ
fcis-13999	54	29	sensing[21	sensing[21	PROPN
fcis-13999	54	30	]	]	PUNCT
fcis-13999	54	31	,	,	PUNCT
fcis-13999	54	32	offering	offer	VERB
fcis-13999	54	33	advantages	advantage	NOUN
fcis-13999	54	34	over	over	ADP
fcis-13999	54	35	traditional	traditional	ADJ
fcis-13999	54	36	hand	hand	NOUN
fcis-13999	54	37	-	-	PUNCT
fcis-13999	54	38	crafted	craft	VERB
fcis-13999	54	39	features	feature	NOUN
fcis-13999	54	40	by	by	ADP
fcis-13999	54	41	automatically	automatically	ADV
fcis-13999	54	42	learning	learn	VERB
fcis-13999	54	43	discriminative	discriminative	NOUN
fcis-13999	54	44	features	feature	NOUN
fcis-13999	54	45	from	from	ADP
fcis-13999	54	46	complex	complex	ADJ
fcis-13999	54	47	hyperspectral	hyperspectral	ADJ
fcis-13999	54	48	data	datum	NOUN
fcis-13999	54	49	.	.	PUNCT
fcis-13999	55	1	this	this	DET
fcis-13999	55	2	capability	capability	NOUN
fcis-13999	55	3	addresses	address	VERB
fcis-13999	55	4	the	the	DET
fcis-13999	55	5	challenge	challenge	NOUN
fcis-13999	55	6	of	of	ADP
fcis-13999	55	7	large	large	ADJ
fcis-13999	55	8	spatial	spatial	ADJ
fcis-13999	55	9	variability	variability	NOUN
fcis-13999	55	10	in	in	ADP
fcis-13999	55	11	spectral	spectral	ADJ
fcis-13999	55	12	signatures	signature	NOUN
fcis-13999	55	13	mentioned	mention	VERB
fcis-13999	55	14	in	in	ADP
fcis-13999	55	15	section	section	NOUN
fcis-13999	55	16	i.	i.	PROPN
fcis-13999	55	17	numerous	numerous	ADJ
fcis-13999	55	18	deep	deep	ADJ
fcis-13999	55	19	networks	network	NOUN
fcis-13999	55	20	have	have	AUX
fcis-13999	55	21	emerged	emerge	VERB
fcis-13999	55	22	,	,	PUNCT
fcis-13999	55	23	extracting	extract	VERB
fcis-13999	55	24	diverse	diverse	ADJ
fcis-13999	55	25	features	feature	NOUN
fcis-13999	55	26	such	such	ADJ
fcis-13999	55	27	as	as	ADP
fcis-13999	55	28	spectral	spectral	ADJ
fcis-13999	55	29	,	,	PUNCT
fcis-13999	55	30	spatial	spatial	ADJ
fcis-13999	55	31	,	,	PUNCT
fcis-13999	55	32	and	and	CCONJ
fcis-13999	55	33	spectral	spectral	ADJ
fcis-13999	55	34	-	-	PUNCT
fcis-13999	55	35	spatial	spatial	ADJ
fcis-13999	55	36	features	feature	NOUN
fcis-13999	55	37	.	.	PUNCT
fcis-13999	56	1	this	this	DET
fcis-13999	56	2	section	section	NOUN
fcis-13999	56	3	systematically	systematically	ADV
fcis-13999	56	4	reviews	review	VERB
fcis-13999	56	5	deep	deep	ADJ
fcis-13999	56	6	learning	learning	NOUN
fcis-13999	56	7	-	-	PUNCT
fcis-13999	56	8	based	base	VERB
fcis-13999	56	9	hsi	hsi	PROPN
fcis-13999	56	10	classification	classification	NOUN
fcis-13999	56	11	methods	method	NOUN
fcis-13999	56	12	within	within	ADP
fcis-13999	56	13	a	a	DET
fcis-13999	56	14	framework	framework	NOUN
fcis-13999	56	15	,	,	PUNCT
fcis-13999	56	16	categorizing	categorize	VERB
fcis-13999	56	17	deep	deep	ADJ
fcis-13999	56	18	networks	network	NOUN
fcis-13999	56	19	into	into	ADP
fcis-13999	56	20	spectral	spectral	ADJ
fcis-13999	56	21	-	-	PUNCT
fcis-13999	56	22	feature	feature	NOUN
fcis-13999	56	23	networks	network	NOUN
fcis-13999	56	24	,	,	PUNCT
fcis-13999	56	25	spatial	spatial	ADJ
fcis-13999	56	26	-	-	PUNCT
fcis-13999	56	27	feature	feature	NOUN
fcis-13999	56	28	networks	network	NOUN
fcis-13999	56	29	,	,	PUNCT
fcis-13999	56	30	and	and	CCONJ
fcis-13999	56	31	spectral	spectral	ADJ
fcis-13999	56	32	-	-	PUNCT
fcis-13999	56	33	spatial	spatial	ADJ
fcis-13999	56	34	-	-	PUNCT
fcis-13999	56	35	feature	feature	NOUN
fcis-13999	56	36	networks	network	NOUN
fcis-13999	56	37	.	.	PUNCT
fcis-13999	57	1	each	each	DET
fcis-13999	57	2	network	network	NOUN
fcis-13999	57	3	type	type	NOUN
fcis-13999	57	4	is	be	AUX
fcis-13999	57	5	designed	design	VERB
fcis-13999	57	6	to	to	PART
fcis-13999	57	7	extract	extract	VERB
fcis-13999	57	8	specific	specific	ADJ
fcis-13999	57	9	features	feature	NOUN
fcis-13999	57	10	for	for	ADP
fcis-13999	57	11	subsequent	subsequent	ADJ
fcis-13999	57	12	classification	classification	NOUN
fcis-13999	57	13	,	,	PUNCT
fcis-13999	57	14	detailed	detail	VERB
fcis-13999	57	15	in	in	ADP
fcis-13999	57	16	the	the	DET
fcis-13999	57	17	following	follow	VERB
fcis-13999	57	18	subsections	subsection	NOUN
fcis-13999	57	19	.	.	PUNCT
fcis-13999	58	1	hyperspectral	hyperspectral	ADJ
fcis-13999	58	2	remote	remote	ADJ
fcis-13999	58	3	sensors	sensor	NOUN
fcis-13999	58	4	typically	typically	ADV
fcis-13999	58	5	provide	provide	VERB
fcis-13999	58	6	hundreds	hundred	NOUN
fcis-13999	58	7	of	of	ADP
fcis-13999	58	8	spectral	spectral	ADJ
fcis-13999	58	9	bands	band	NOUN
fcis-13999	58	10	,	,	PUNCT
fcis-13999	58	11	introducing	introduce	VERB
fcis-13999	58	12	redundancy	redundancy	NOUN
fcis-13999	58	13	in	in	ADP
fcis-13999	58	14	the	the	DET
fcis-13999	58	15	data	datum	NOUN
fcis-13999	58	16	.	.	PUNCT
fcis-13999	59	1	directly	directly	ADV
fcis-13999	59	2	exploring	explore	VERB
fcis-13999	59	3	original	original	ADJ
fcis-13999	59	4	spectral	spectral	ADJ
fcis-13999	59	5	vectors	vector	NOUN
fcis-13999	59	6	results	result	VERB
fcis-13999	59	7	in	in	ADP
fcis-13999	59	8	high	high	ADJ
fcis-13999	59	9	computational	computational	ADJ
fcis-13999	59	10	costs	cost	NOUN
fcis-13999	59	11	and	and	CCONJ
fcis-13999	59	12	reduced	reduce	VERB
fcis-13999	59	13	classification	classification	NOUN
fcis-13999	59	14	performance	performance	NOUN
fcis-13999	59	15	.	.	PUNCT
fcis-13999	60	1	while	while	SCONJ
fcis-13999	60	2	traditional	traditional	ADJ
fcis-13999	60	3	spectral	spectral	ADJ
fcis-13999	60	4	feature	feature	NOUN
fcis-13999	60	5	extraction	extraction	NOUN
fcis-13999	60	6	methods	method	NOUN
fcis-13999	60	7	like	like	ADP
fcis-13999	60	8	pca	pca	PROPN
fcis-13999	60	9	,	,	PUNCT
fcis-13999	60	10	ica	ica	PROPN
fcis-13999	60	11	,	,	PUNCT
fcis-13999	60	12	and	and	CCONJ
fcis-13999	60	13	lda	lda	VERB
fcis-13999	61	1	[	[	X
fcis-13999	61	2	22	22	NUM
fcis-13999	61	3	]	]	PUNCT
fcis-13999	61	4	are	be	AUX
fcis-13999	61	5	effective	effective	ADJ
fcis-13999	61	6	,	,	PUNCT
fcis-13999	61	7	their	their	PRON
fcis-13999	61	8	simple	simple	ADJ
fcis-13999	61	9	linear	linear	ADJ
fcis-13999	61	10	processing	processing	NOUN
fcis-13999	61	11	struggles	struggle	NOUN
fcis-13999	61	12	with	with	ADP
fcis-13999	61	13	the	the	DET
fcis-13999	61	14	complex	complex	ADJ
fcis-13999	61	15	spectral	spectral	ADJ
fcis-13999	61	16	properties	property	NOUN
fcis-13999	61	17	of	of	ADP
fcis-13999	61	18	hsis	hsis	NOUN
fcis-13999	61	19	.	.	PUNCT
fcis-13999	62	1	this	this	DET
fcis-13999	62	2	section	section	NOUN
fcis-13999	62	3	introduces	introduce	VERB
fcis-13999	62	4	the	the	DET
fcis-13999	62	5	spectral	spectral	ADJ
fcis-13999	62	6	-	-	PUNCT
fcis-13999	62	7	feature	feature	NOUN
fcis-13999	62	8	networks	network	NOUN
fcis-13999	62	9	,	,	PUNCT
fcis-13999	62	10	a	a	DET
fcis-13999	62	11	deep	deep	ADJ
fcis-13999	62	12	learning	learning	NOUN
fcis-13999	62	13	-	-	PUNCT
fcis-13999	62	14	based	base	VERB
fcis-13999	62	15	framework	framework	NOUN
fcis-13999	62	16	for	for	ADP
fcis-13999	62	17	extracting	extract	VERB
fcis-13999	62	18	profound	profound	ADJ
fcis-13999	62	19	spectral	spectral	ADJ
fcis-13999	62	20	features	feature	NOUN
fcis-13999	62	21	.	.	PUNCT
fcis-13999	63	1	previous	previous	ADJ
fcis-13999	63	2	research	research	NOUN
fcis-13999	63	3	shows	show	VERB
fcis-13999	63	4	that	that	SCONJ
fcis-13999	63	5	incorporating	incorporate	VERB
fcis-13999	63	6	spatial	spatial	ADJ
fcis-13999	63	7	features	feature	NOUN
fcis-13999	63	8	enhances	enhance	VERB
fcis-13999	63	9	classification	classification	NOUN
fcis-13999	63	10	accuracies	accuracy	NOUN
fcis-13999	63	11	in	in	ADP
fcis-13999	63	12	his	his	PRON
fcis-13999	63	13	[	[	X
fcis-13999	63	14	23	23	NUM
fcis-13999	63	15	]	]	PUNCT
fcis-13999	63	16	.	.	PUNCT
fcis-13999	64	1	such	such	ADJ
fcis-13999	64	2	research	research	NOUN
fcis-13999	64	3	covers	cover	VERB
fcis-13999	64	4	spatial	spatial	ADJ
fcis-13999	64	5	-	-	PUNCT
fcis-13999	64	6	feature	feature	NOUN
fcis-13999	64	7	networks	network	NOUN
fcis-13999	64	8	that	that	PRON
fcis-13999	64	9	leverage	leverage	VERB
fcis-13999	64	10	deep	deep	ADJ
fcis-13999	64	11	networks	network	NOUN
fcis-13999	64	12	for	for	ADP
fcis-13999	64	13	extracting	extract	VERB
fcis-13999	64	14	spatial	spatial	ADJ
fcis-13999	64	15	features	feature	NOUN
fcis-13999	64	16	.	.	PUNCT
fcis-13999	65	1	to	to	PART
fcis-13999	65	2	achieve	achieve	VERB
fcis-13999	65	3	accurate	accurate	ADJ
fcis-13999	65	4	hsi	hsi	PROPN
fcis-13999	65	5	classification	classification	NOUN
fcis-13999	65	6	,	,	PUNCT
fcis-13999	65	7	these	these	PRON
fcis-13999	65	8	learned	learn	VERB
fcis-13999	65	9	spatial	spatial	ADJ
fcis-13999	65	10	features	feature	NOUN
fcis-13999	65	11	are	be	AUX
fcis-13999	65	12	fused	fuse	VERB
fcis-13999	65	13	with	with	ADP
fcis-13999	65	14	spectral	spectral	ADJ
fcis-13999	65	15	features	feature	NOUN
fcis-13999	65	16	extracted	extract	VERB
fcis-13999	65	17	by	by	ADP
fcis-13999	65	18	other	other	ADJ
fcis-13999	65	19	techniques	technique	NOUN
fcis-13999	65	20	.	.	PUNCT
fcis-13999	66	1	in[24	in[24	PRON
fcis-13999	66	2	]	]	X
fcis-13999	66	3	,	,	PUNCT
fcis-13999	66	4	pca	pca	PROPN
fcis-13999	66	5	initially	initially	ADV
fcis-13999	66	6	reduced	reduce	VERB
fcis-13999	66	7	the	the	DET
fcis-13999	66	8	dimensionality	dimensionality	NOUN
fcis-13999	66	9	of	of	ADP
fcis-13999	66	10	hyperspectral	hyperspectral	ADJ
fcis-13999	66	11	data	datum	NOUN
fcis-13999	66	12	,	,	PUNCT
fcis-13999	66	13	followed	follow	VERB
fcis-13999	66	14	by	by	ADP
fcis-13999	66	15	the	the	DET
fcis-13999	66	16	exploitation	exploitation	NOUN
fcis-13999	66	17	of	of	ADP
fcis-13999	66	18	spatial	spatial	ADJ
fcis-13999	66	19	information	information	NOUN
fcis-13999	66	20	using	use	VERB
fcis-13999	66	21	a	a	DET
fcis-13999	66	22	2	2	NUM
fcis-13999	66	23	-	-	PUNCT
fcis-13999	66	24	d	d	NOUN
fcis-13999	66	25	cnn	cnn	NOUN
fcis-13999	66	26	in	in	ADP
fcis-13999	66	27	the	the	DET
fcis-13999	66	28	neighborhood	neighborhood	NOUN
fcis-13999	66	29	region	region	NOUN
fcis-13999	66	30	of	of	ADP
fcis-13999	66	31	the	the	DET
fcis-13999	66	32	input	input	NOUN
fcis-13999	66	33	pixel	pixel	PROPN
fcis-13999	66	34	.	.	PUNCT
fcis-13999	67	1	this	this	DET
fcis-13999	67	2	combination	combination	NOUN
fcis-13999	67	3	of	of	ADP
fcis-13999	67	4	pca	pca	PROPN
fcis-13999	67	5	and	and	CCONJ
fcis-13999	67	6	cnn	cnn	PROPN
fcis-13999	67	7	not	not	PART
fcis-13999	67	8	only	only	ADV
fcis-13999	67	9	extracted	extract	VERB
fcis-13999	67	10	discriminative	discriminative	NOUN
fcis-13999	67	11	spatial	spatial	ADJ
fcis-13999	67	12	features	feature	NOUN
fcis-13999	67	13	but	but	CCONJ
fcis-13999	67	14	also	also	ADV
fcis-13999	67	15	reduced	reduce	VERB
fcis-13999	67	16	computational	computational	ADJ
fcis-13999	67	17	costs	cost	NOUN
fcis-13999	67	18	.	.	PUNCT
fcis-13999	68	1	in	in	ADP
fcis-13999	68	2	a	a	DET
fcis-13999	68	3	more	more	ADV
fcis-13999	68	4	advanced	advanced	ADJ
fcis-13999	68	5	approach	approach	NOUN
fcis-13999	68	6	,	,	PUNCT
fcis-13999	68	7	liang	liang	PROPN
fcis-13999	68	8	et	et	PROPN
fcis-13999	68	9	al	al	PROPN
fcis-13999	68	10	.	.	PUNCT
fcis-13999	69	1	[	[	X
fcis-13999	69	2	68	68	NUM
fcis-13999	69	3	]	]	PUNCT
fcis-13999	69	4	introduced	introduce	VERB
fcis-13999	69	5	sparse	sparse	ADJ
fcis-13999	69	6	representation	representation	NOUN
fcis-13999	69	7	to	to	PART
fcis-13999	69	8	encode	encode	VERB
fcis-13999	69	9	deep	deep	ADJ
fcis-13999	69	10	spatial	spatial	ADJ
fcis-13999	69	11	features	feature	NOUN
fcis-13999	69	12	extracted	extract	VERB
fcis-13999	69	13	by	by	ADP
fcis-13999	69	14	a	a	DET
fcis-13999	69	15	cnn	cnn	NOUN
fcis-13999	69	16	into	into	ADP
fcis-13999	69	17	low	low	ADJ
fcis-13999	69	18	-	-	PUNCT
fcis-13999	69	19	dimensional	dimensional	ADJ
fcis-13999	69	20	sparse	sparse	ADJ
fcis-13999	69	21	features	feature	NOUN
fcis-13999	69	22	,	,	PUNCT
fcis-13999	69	23	enhancing	enhance	VERB
fcis-13999	69	24	feature	feature	NOUN
fcis-13999	69	25	representation	representation	NOUN
fcis-13999	69	26	and	and	CCONJ
fcis-13999	69	27	classification	classification	NOUN
fcis-13999	69	28	accuracies	accuracy	NOUN
fcis-13999	69	29	.	.	PUNCT
fcis-13999	70	1	off	off	ADP
fcis-13999	70	2	-	-	PUNCT
fcis-13999	70	3	the	the	DET
fcis-13999	70	4	-	-	PUNCT
fcis-13999	70	5	shelf	shelf	NOUN
fcis-13999	70	6	cnns	cnn	NOUN
fcis-13999	70	7	is	be	AUX
fcis-13999	70	8	used	use	VERB
fcis-13999	70	9	like	like	ADP
fcis-13999	70	10	alexnet	alexnet	NOUN
fcis-13999	70	11	and	and	CCONJ
fcis-13999	70	12	googlenet	googlenet	NOUN
fcis-13999	70	13	for	for	ADP
fcis-13999	70	14	extracting	extract	VERB
fcis-13999	70	15	deep	deep	ADJ
fcis-13999	70	16	spatial	spatial	ADJ
fcis-13999	70	17	features	feature	NOUN
fcis-13999	70	18	[	[	X
fcis-13999	70	19	25	25	NUM
fcis-13999	70	20	]	]	PUNCT
fcis-13999	70	21	.	.	PUNCT
fcis-13999	71	1	these	these	DET
fcis-13999	71	2	features	feature	NOUN
fcis-13999	71	3	were	be	AUX
fcis-13999	71	4	then	then	ADV
fcis-13999	71	5	fused	fuse	VERB
fcis-13999	71	6	to	to	PART
fcis-13999	71	7	train	train	VERB
fcis-13999	71	8	a	a	DET
fcis-13999	71	9	multiplefeature	multiplefeature	NOUN
fcis-13999	71	10	-	-	PUNCT
fcis-13999	71	11	based	base	VERB
fcis-13999	71	12	classifier	classifier	NOUN
fcis-13999	71	13	.	.	PUNCT
fcis-13999	72	1	a	a	DET
fcis-13999	72	2	novel	novel	ADJ
fcis-13999	72	3	hsi	hsi	PROPN
fcis-13999	72	4	classification	classification	NOUN
fcis-13999	72	5	framework	framework	NOUN
fcis-13999	72	6	,	,	PUNCT
fcis-13999	72	7	the	the	DET
fcis-13999	72	8	deep	deep	ADJ
fcis-13999	72	9	multiscale	multiscale	ADJ
fcis-13999	72	10	spatial	spatial	ADJ
fcis-13999	72	11	-	-	PUNCT
fcis-13999	72	12	spectral	spectral	ADJ
fcis-13999	72	13	feature	feature	NOUN
fcis-13999	72	14	extraction	extraction	NOUN
fcis-13999	72	15	algorithm	algorithm	NOUN
fcis-13999	72	16	,	,	PUNCT
fcis-13999	72	17	was	be	AUX
fcis-13999	72	18	presented	present	VERB
fcis-13999	72	19	in	in	ADP
fcis-13999	72	20	[	[	X
fcis-13999	72	21	26	26	NUM
fcis-13999	72	22	]	]	PUNCT
fcis-13999	72	23	.	.	PUNCT
fcis-13999	73	1	this	this	DET
fcis-13999	73	2	approach	approach	NOUN
fcis-13999	73	3	utilized	utilize	VERB
fcis-13999	73	4	the	the	DET
fcis-13999	73	5	pretrained	pretraine	VERB
fcis-13999	73	6	fcn-8	fcn-8	ADP
fcis-13999	73	7	to	to	PART
fcis-13999	73	8	explore	explore	VERB
fcis-13999	73	9	deep	deep	ADJ
fcis-13999	73	10	multiscale	multiscale	ADJ
fcis-13999	73	11	spatial	spatial	ADJ
fcis-13999	73	12	structural	structural	ADJ
fcis-13999	73	13	information	information	NOUN
fcis-13999	73	14	,	,	PUNCT
fcis-13999	73	15	followed	follow	VERB
fcis-13999	73	16	by	by	ADP
fcis-13999	73	17	a	a	DET
fcis-13999	73	18	weighted	weight	VERB
fcis-13999	73	19	fusion	fusion	NOUN
fcis-13999	73	20	mechanism	mechanism	NOUN
fcis-13999	73	21	to	to	PART
fcis-13999	73	22	combine	combine	VERB
fcis-13999	73	23	original	original	ADJ
fcis-13999	73	24	spectral	spectral	ADJ
fcis-13999	73	25	features	feature	NOUN
fcis-13999	73	26	and	and	CCONJ
fcis-13999	73	27	deep	deep	ADJ
fcis-13999	73	28	multiscale	multiscale	ADJ
fcis-13999	73	29	spatial	spatial	ADJ
fcis-13999	73	30	features	feature	NOUN
fcis-13999	73	31	.	.	PUNCT
fcis-13999	74	1	the	the	DET
fcis-13999	74	2	fused	fuse	VERB
fcis-13999	74	3	features	feature	NOUN
fcis-13999	74	4	were	be	AUX
fcis-13999	74	5	fed	feed	VERB
fcis-13999	74	6	into	into	ADP
fcis-13999	74	7	a	a	DET
fcis-13999	74	8	classifier	classifier	NOUN
fcis-13999	74	9	for	for	ADP
fcis-13999	74	10	the	the	DET
fcis-13999	74	11	final	final	ADJ
fcis-13999	74	12	classification	classification	NOUN
fcis-13999	74	13	operation	operation	NOUN
fcis-13999	74	14	.	.	PUNCT
fcis-13999	75	1	rather	rather	ADV
fcis-13999	75	2	than	than	ADP
fcis-13999	75	3	focusing	focus	VERB
fcis-13999	75	4	solely	solely	ADV
fcis-13999	75	5	on	on	ADP
fcis-13999	75	6	spectral	spectral	ADJ
fcis-13999	75	7	or	or	CCONJ
fcis-13999	75	8	spatial	spatial	ADJ
fcis-13999	75	9	features	feature	NOUN
fcis-13999	75	10	,	,	PUNCT
fcis-13999	75	11	spectral	spectral	ADJ
fcis-13999	75	12	-	-	PUNCT
fcis-13999	75	13	spatial	spatial	ADJ
fcis-13999	75	14	-	-	PUNCT
fcis-13999	75	15	feature	feature	NOUN
fcis-13999	75	16	networks	network	NOUN
fcis-13999	75	17	aim	aim	VERB
fcis-13999	75	18	to	to	PART
fcis-13999	75	19	jointly	jointly	ADV
fcis-13999	75	20	extract	extract	VERB
fcis-13999	75	21	deep	deep	ADJ
fcis-13999	75	22	spectral	spectral	ADJ
fcis-13999	75	23	-	-	PUNCT
fcis-13999	75	24	spatial	spatial	ADJ
fcis-13999	75	25	features	feature	NOUN
fcis-13999	75	26	for	for	ADP
fcis-13999	75	27	hsi	hsi	PROPN
fcis-13999	75	28	classification	classification	NOUN
fcis-13999	75	29	.	.	PUNCT
fcis-13999	76	1	these	these	DET
fcis-13999	76	2	features	feature	NOUN
fcis-13999	76	3	can	can	AUX
fcis-13999	76	4	be	be	AUX
fcis-13999	76	5	obtained	obtain	VERB
fcis-13999	76	6	through	through	ADP
fcis-13999	76	7	three	three	NUM
fcis-13999	76	8	approaches	approach	NOUN
fcis-13999	76	9	:	:	PUNCT
fcis-13999	76	10	1	1	X
fcis-13999	76	11	)	)	PUNCT
fcis-13999	76	12	mapping	mapping	NOUN
fcis-13999	76	13	lowlevel	lowlevel	VERB
fcis-13999	76	14	spectral	spectral	ADJ
fcis-13999	76	15	-	-	PUNCT
fcis-13999	76	16	spatial	spatial	ADJ
fcis-13999	76	17	features	feature	NOUN
fcis-13999	76	18	to	to	ADP
fcis-13999	76	19	high	high	ADJ
fcis-13999	76	20	-	-	PUNCT
fcis-13999	76	21	level	level	NOUN
fcis-13999	76	22	ones	one	NOUN
fcis-13999	76	23	using	use	VERB
fcis-13999	76	24	deep	deep	ADJ
fcis-13999	76	25	networks	network	NOUN
fcis-13999	76	26	;	;	PUNCT
fcis-13999	76	27	2	2	X
fcis-13999	76	28	)	)	PUNCT
fcis-13999	76	29	directly	directly	ADV
fcis-13999	76	30	extracting	extract	VERB
fcis-13999	76	31	deep	deep	ADJ
fcis-13999	76	32	features	feature	NOUN
fcis-13999	76	33	from	from	ADP
fcis-13999	76	34	original	original	ADJ
fcis-13999	76	35	data	datum	NOUN
fcis-13999	76	36	or	or	CCONJ
fcis-13999	76	37	principal	principal	ADJ
fcis-13999	76	38	components	component	NOUN
fcis-13999	76	39	;	;	PUNCT
fcis-13999	76	40	3	3	X
fcis-13999	76	41	)	)	PUNCT
fcis-13999	76	42	fusing	fuse	VERB
fcis-13999	76	43	separate	separate	ADJ
fcis-13999	76	44	deep	deep	ADJ
fcis-13999	76	45	spectral	spectral	ADJ
fcis-13999	76	46	and	and	CCONJ
fcis-13999	76	47	spatial	spatial	ADJ
fcis-13999	76	48	features	feature	NOUN
fcis-13999	76	49	.	.	PUNCT
fcis-13999	77	1	spectral	spectral	ADJ
fcis-13999	77	2	-	-	PUNCT
fcis-13999	77	3	spatial	spatial	ADJ
fcis-13999	77	4	-	-	PUNCT
fcis-13999	77	5	feature	feature	NOUN
fcis-13999	77	6	networks	network	NOUN
fcis-13999	77	7	are	be	AUX
fcis-13999	77	8	categorized	categorize	VERB
fcis-13999	77	9	into	into	ADP
fcis-13999	77	10	preprocessing	preprocessing	NOUN
fcis-13999	77	11	-	-	PUNCT
fcis-13999	77	12	based	base	VERB
fcis-13999	77	13	,	,	PUNCT
fcis-13999	77	14	integrated	integrate	VERB
fcis-13999	77	15	,	,	PUNCT
fcis-13999	77	16	and	and	CCONJ
fcis-13999	77	17	postprocessing	postprocesse	VERB
fcis-13999	77	18	-	-	PUNCT
fcis-13999	77	19	based	base	VERB
fcis-13999	77	20	networks	network	NOUN
fcis-13999	77	21	.	.	PUNCT
fcis-13999	78	1	training	train	VERB
fcis-13999	78	2	deep	deep	ADJ
fcis-13999	78	3	networks	network	NOUN
fcis-13999	78	4	requires	require	VERB
fcis-13999	78	5	a	a	DET
fcis-13999	78	6	large	large	ADJ
fcis-13999	78	7	number	number	NOUN
fcis-13999	78	8	of	of	ADP
fcis-13999	78	9	samples	sample	NOUN
fcis-13999	78	10	,	,	PUNCT
fcis-13999	78	11	but	but	CCONJ
fcis-13999	78	12	remote	remote	ADJ
fcis-13999	78	13	sensing	sensing	NOUN
fcis-13999	78	14	often	often	ADV
fcis-13999	78	15	has	have	AUX
fcis-13999	78	16	limited	limit	VERB
fcis-13999	78	17	labeled	label	VERB
fcis-13999	78	18	data	datum	NOUN
fcis-13999	78	19	.	.	PUNCT
fcis-13999	79	1	this	this	DET
fcis-13999	79	2	imbalance	imbalance	NOUN
fcis-13999	79	3	can	can	AUX
fcis-13999	79	4	lead	lead	VERB
fcis-13999	79	5	to	to	ADP
fcis-13999	79	6	poor	poor	ADJ
fcis-13999	79	7	classification	classification	NOUN
fcis-13999	79	8	.	.	PUNCT
fcis-13999	80	1	strategies	strategy	NOUN
fcis-13999	80	2	to	to	PART
fcis-13999	80	3	address	address	VERB
fcis-13999	80	4	this	this	DET
fcis-13999	80	5	issue	issue	NOUN
fcis-13999	80	6	include	include	VERB
fcis-13999	80	7	data	datum	NOUN
fcis-13999	80	8	augmentation	augmentation	NOUN
fcis-13999	80	9	,	,	PUNCT
fcis-13999	80	10	an	an	DET
fcis-13999	80	11	intuitive	intuitive	ADJ
fcis-13999	80	12	method	method	NOUN
fcis-13999	80	13	to	to	PART
fcis-13999	80	14	generate	generate	VERB
fcis-13999	80	15	new	new	ADJ
fcis-13999	80	16	training	training	NOUN
fcis-13999	80	17	samples	sample	NOUN
fcis-13999	80	18	from	from	ADP
fcis-13999	80	19	known	know	VERB
fcis-13999	80	20	ones	one	NOUN
fcis-13999	80	21	.	.	PUNCT
fcis-13999	81	1	two	two	NUM
fcis-13999	81	2	main	main	ADJ
fcis-13999	81	3	strategies	strategy	NOUN
fcis-13999	81	4	for	for	ADP
fcis-13999	81	5	creating	create	VERB
fcis-13999	81	6	additional	additional	ADJ
fcis-13999	81	7	virtual	virtual	ADJ
fcis-13999	81	8	samples	sample	NOUN
fcis-13999	81	9	are	be	AUX
fcis-13999	81	10	transformation	transformation	NOUN
fcis-13999	81	11	-	-	PUNCT
fcis-13999	81	12	based	base	VERB
fcis-13999	81	13	and	and	CCONJ
fcis-13999	81	14	mixture	mixture	NOUN
fcis-13999	81	15	-	-	PUNCT
fcis-13999	81	16	based	base	VERB
fcis-13999	81	17	sample	sample	NOUN
fcis-13999	81	18	generation	generation	NOUN
fcis-13999	81	19	.	.	PUNCT
fcis-13999	82	1	these	these	DET
fcis-13999	82	2	methods	method	NOUN
fcis-13999	82	3	will	will	AUX
fcis-13999	82	4	be	be	AUX
fcis-13999	82	5	discussed	discuss	VERB
fcis-13999	82	6	in	in	ADP
fcis-13999	82	7	detail	detail	NOUN
fcis-13999	82	8	in	in	ADP
fcis-13999	82	9	the	the	DET
fcis-13999	82	10	following	follow	VERB
fcis-13999	82	11	section	section	NOUN
fcis-13999	82	12	.	.	PUNCT
fcis-13999	83	1	(	(	PUNCT
fcis-13999	83	2	1	1	X
fcis-13999	83	3	)	)	PUNCT
fcis-13999	83	4	transformation	transformation	NOUN
fcis-13999	83	5	-	-	PUNCT
fcis-13999	83	6	based	base	VERB
fcis-13999	83	7	sample	sample	NOUN
fcis-13999	83	8	generation	generation	NOUN
fcis-13999	83	9	:	:	PUNCT
fcis-13999	83	10	due	due	ADP
fcis-13999	83	11	to	to	ADP
fcis-13999	83	12	the	the	DET
fcis-13999	83	13	complex	complex	ADJ
fcis-13999	83	14	lighting	lighting	NOUN
fcis-13999	83	15	conditions	condition	NOUN
fcis-13999	83	16	in	in	ADP
fcis-13999	83	17	hsis	hsis	NOUN
fcis-13999	83	18	,	,	PUNCT
fcis-13999	83	19	objects	object	NOUN
fcis-13999	83	20	of	of	ADP
fcis-13999	83	21	the	the	DET
fcis-13999	83	22	same	same	ADJ
fcis-13999	83	23	class	class	NOUN
fcis-13999	83	24	in	in	ADP
fcis-13999	83	25	different	different	ADJ
fcis-13999	83	26	locations	location	NOUN
fcis-13999	83	27	may	may	AUX
fcis-13999	83	28	be	be	AUX
fcis-13999	83	29	affected	affect	VERB
fcis-13999	83	30	by	by	ADP
fcis-13999	83	31	varying	vary	VERB
fcis-13999	83	32	radiations	radiation	NOUN
fcis-13999	83	33	.	.	PUNCT
fcis-13999	84	1	addressing	address	VERB
fcis-13999	84	2	this	this	PRON
fcis-13999	84	3	,	,	PUNCT
fcis-13999	84	4	virtual	virtual	ADJ
fcis-13999	84	5	samples	sample	NOUN
fcis-13999	84	6	can	can	AUX
fcis-13999	84	7	be	be	AUX
fcis-13999	84	8	generated	generate	VERB
fcis-13999	84	9	by	by	ADP
fcis-13999	84	10	transforming	transform	VERB
fcis-13999	84	11	known	know	VERB
fcis-13999	84	12	samples	sample	NOUN
fcis-13999	84	13	,	,	PUNCT
fcis-13999	84	14	a	a	DET
fcis-13999	84	15	method	method	NOUN
fcis-13999	84	16	widely	widely	ADV
fcis-13999	84	17	employed	employ	VERB
fcis-13999	84	18	in	in	ADP
fcis-13999	84	19	[	[	X
fcis-13999	84	20	27	27	NUM
fcis-13999	84	21	]	]	PUNCT
fcis-13999	84	22	.	.	PUNCT
fcis-13999	85	1	specifically	specifically	ADV
fcis-13999	85	2	,	,	PUNCT
fcis-13999	85	3	given	give	VERB
fcis-13999	85	4	a	a	DET
fcis-13999	85	5	known	know	VERB
fcis-13999	85	6	training	training	NOUN
fcis-13999	85	7	sample	sample	NOUN
fcis-13999	85	8	xi	xi	PROPN
fcis-13999	85	9	,	,	PUNCT
fcis-13999	85	10	a	a	DET
fcis-13999	85	11	new	new	ADJ
fcis-13999	85	12	virtual	virtual	ADJ
fcis-13999	85	13	sample	sample	NOUN
fcis-13999	85	14	y	y	PROPN
fcis-13999	85	15	can	can	AUX
fcis-13999	85	16	be	be	AUX
fcis-13999	85	17	obtained	obtain	VERB
fcis-13999	85	18	through	through	ADP
fcis-13999	85	19	,	,	PUNCT
fcis-13999	85	20	where	where	SCONJ
fcis-13999	85	21	f	f	PROPN
fcis-13999	85	22	is	be	AUX
fcis-13999	85	23	a	a	DET
fcis-13999	85	24	transforming	transform	VERB
fcis-13999	85	25	function	function	NOUN
fcis-13999	85	26	(	(	PUNCT
fcis-13999	85	27	e.g.	e.g.	ADV
fcis-13999	85	28	,	,	PUNCT
fcis-13999	85	29	rotation	rotation	NOUN
fcis-13999	85	30	,	,	PUNCT
fcis-13999	85	31	flipping	flipping	NOUN
fcis-13999	85	32	,	,	PUNCT
fcis-13999	85	33	or	or	CCONJ
fcis-13999	85	34	mirroring	mirroring	NOUN
fcis-13999	85	35	)	)	PUNCT
fcis-13999	85	36	,	,	PUNCT
fcis-13999	85	37	γ	γ	PROPN
fcis-13999	85	38	controls	control	VERB
fcis-13999	85	39	the	the	DET
fcis-13999	85	40	weight	weight	NOUN
fcis-13999	85	41	of	of	ADP
fcis-13999	85	42	random	random	ADJ
fcis-13999	85	43	gaussian	gaussian	NOUN
fcis-13999	85	44	noise	noise	NOUN
fcis-13999	85	45	(	(	PUNCT
fcis-13999	85	46	n	n	CCONJ
fcis-13999	85	47	)	)	PUNCT
fcis-13999	85	48	introduced	introduce	VERB
fcis-13999	85	49	through	through	ADP
fcis-13999	85	50	factors	factor	NOUN
fcis-13999	85	51	like	like	ADP
fcis-13999	85	52	neighboring	neighboring	NOUN
fcis-13999	85	53	pixel	pixel	ADJ
fcis-13999	85	54	interactions	interaction	NOUN
fcis-13999	85	55	or	or	CCONJ
fcis-13999	85	56	imaging	imaging	NOUN
fcis-13999	85	57	errors	error	NOUN
fcis-13999	85	58	.	.	PUNCT
fcis-13999	86	1	the	the	DET
fcis-13999	86	2	newly	newly	ADV
fcis-13999	86	3	generated	generate	VERB
fcis-13999	86	4	virtual	virtual	ADJ
fcis-13999	86	5	sample	sample	NOUN
fcis-13999	86	6	y	y	PROPN
fcis-13999	86	7	shares	share	VERB
fcis-13999	86	8	the	the	DET
fcis-13999	86	9	same	same	ADJ
fcis-13999	86	10	class	class	NOUN
fcis-13999	86	11	as	as	ADP
fcis-13999	86	12	xi	xi	NUM
fcis-13999	86	13	and	and	CCONJ
fcis-13999	86	14	can	can	AUX
fcis-13999	86	15	be	be	AUX
fcis-13999	86	16	used	use	VERB
fcis-13999	86	17	for	for	ADP
fcis-13999	86	18	deep	deep	ADJ
fcis-13999	86	19	network	network	NOUN
fcis-13999	86	20	training	training	NOUN
fcis-13999	86	21	.	.	PUNCT
fcis-13999	87	1	(	(	PUNCT
fcis-13999	87	2	2	2	X
fcis-13999	87	3	)	)	PUNCT
fcis-13999	87	4	mixture	mixture	NOUN
fcis-13999	87	5	-	-	PUNCT
fcis-13999	87	6	based	base	VERB
fcis-13999	87	7	sample	sample	NOUN
fcis-13999	87	8	generation	generation	NOUN
fcis-13999	87	9	in	in	ADP
fcis-13999	87	10	general	general	ADJ
fcis-13999	87	11	,	,	PUNCT
fcis-13999	87	12	the	the	DET
fcis-13999	87	13	objects	object	NOUN
fcis-13999	87	14	of	of	ADP
fcis-13999	87	15	the	the	DET
fcis-13999	87	16	same	same	ADJ
fcis-13999	87	17	class	class	NOUN
fcis-13999	87	18	usually	usually	ADV
fcis-13999	87	19	show	show	VERB
fcis-13999	87	20	109	109	NUM
fcis-13999	87	21	similar	similar	ADJ
fcis-13999	87	22	spectral	spectral	ADJ
fcis-13999	87	23	characteristics	characteristic	NOUN
fcis-13999	87	24	in	in	ADP
fcis-13999	87	25	a	a	DET
fcis-13999	87	26	certain	certain	ADJ
fcis-13999	87	27	range	range	NOUN
fcis-13999	87	28	.	.	PUNCT
fcis-13999	88	1	this	this	DET
fcis-13999	88	2	phenomenon	phenomenon	NOUN
fcis-13999	88	3	makes	make	VERB
fcis-13999	88	4	it	it	PRON
fcis-13999	88	5	possible	possible	ADJ
fcis-13999	88	6	to	to	PART
fcis-13999	88	7	generate	generate	VERB
fcis-13999	88	8	a	a	DET
fcis-13999	88	9	virtual	virtual	ADJ
fcis-13999	88	10	sample	sample	NOUN
fcis-13999	88	11	from	from	ADP
fcis-13999	88	12	two	two	NUM
fcis-13999	88	13	given	give	VERB
fcis-13999	88	14	samples	sample	NOUN
fcis-13999	88	15	of	of	ADP
fcis-13999	88	16	the	the	DET
fcis-13999	88	17	same	same	ADJ
fcis-13999	88	18	class	class	NOUN
fcis-13999	88	19	.	.	PUNCT
fcis-13999	89	1	in	in	ADP
fcis-13999	89	2	[	[	X
fcis-13999	89	3	56	56	NUM
fcis-13999	89	4	]	]	PUNCT
fcis-13999	89	5	,	,	PUNCT
fcis-13999	89	6	[	[	X
fcis-13999	89	7	78	78	NUM
fcis-13999	89	8	]	]	PUNCT
fcis-13999	89	9	,	,	PUNCT
fcis-13999	89	10	the	the	DET
fcis-13999	89	11	virtual	virtual	ADJ
fcis-13999	89	12	sample	sample	NOUN
fcis-13999	89	13	y	y	PROPN
fcis-13999	89	14	is	be	AUX
fcis-13999	89	15	the	the	DET
fcis-13999	89	16	linear	linear	ADJ
fcis-13999	89	17	combination	combination	NOUN
fcis-13999	89	18	of	of	ADP
fcis-13999	89	19	two	two	NUM
fcis-13999	89	20	training	training	NOUN
fcis-13999	89	21	samples	sample	NOUN
fcis-13999	89	22	and	and	CCONJ
fcis-13999	89	23	.	.	PUNCT
fcis-13999	90	1	while	while	SCONJ
fcis-13999	90	2	supervised	supervised	ADJ
fcis-13999	90	3	feature	feature	NOUN
fcis-13999	90	4	learning	learning	NOUN
fcis-13999	90	5	has	have	AUX
fcis-13999	90	6	made	make	VERB
fcis-13999	90	7	significant	significant	ADJ
fcis-13999	90	8	strides	stride	NOUN
fcis-13999	90	9	in	in	ADP
fcis-13999	90	10	hsi	hsi	PROPN
fcis-13999	90	11	classification	classification	NOUN
fcis-13999	90	12	,	,	PUNCT
fcis-13999	90	13	there	there	PRON
fcis-13999	90	14	is	be	VERB
fcis-13999	90	15	a	a	DET
fcis-13999	90	16	pressing	press	VERB
fcis-13999	90	17	need	need	NOUN
fcis-13999	90	18	for	for	ADP
fcis-13999	90	19	unsupervised	unsupervised	ADJ
fcis-13999	90	20	or	or	CCONJ
fcis-13999	90	21	semi	semi	ADJ
fcis-13999	90	22	-	-	ADJ
fcis-13999	90	23	supervised	supervised	ADJ
fcis-13999	90	24	feature	feature	NOUN
fcis-13999	90	25	learning[28	learning[28	NOUN
fcis-13999	90	26	]	]	PUNCT
fcis-13999	90	27	.	.	PUNCT
fcis-13999	91	1	the	the	DET
fcis-13999	91	2	primary	primary	ADJ
fcis-13999	91	3	goal	goal	NOUN
fcis-13999	91	4	of	of	ADP
fcis-13999	91	5	unsupervised	unsupervised	ADJ
fcis-13999	91	6	/	/	SYM
fcis-13999	91	7	semi	semi	ADJ
fcis-13999	91	8	-	-	ADJ
fcis-13999	91	9	supervised	supervised	ADJ
fcis-13999	91	10	feature	feature	NOUN
fcis-13999	91	11	learning	learning	NOUN
fcis-13999	91	12	is	be	AUX
fcis-13999	91	13	to	to	PART
fcis-13999	91	14	extract	extract	VERB
fcis-13999	91	15	valuable	valuable	ADJ
fcis-13999	91	16	features	feature	NOUN
fcis-13999	91	17	from	from	ADP
fcis-13999	91	18	unlabeled	unlabeled	ADJ
fcis-13999	91	19	data	datum	NOUN
fcis-13999	91	20	.	.	PUNCT
fcis-13999	92	1	recent	recent	ADJ
fcis-13999	92	2	research	research	NOUN
fcis-13999	92	3	efforts	effort	NOUN
fcis-13999	92	4	[	[	X
fcis-13999	92	5	29	29	NUM
fcis-13999	92	6	]	]	PUNCT
fcis-13999	92	7	have	have	AUX
fcis-13999	92	8	focused	focus	VERB
fcis-13999	92	9	on	on	ADP
fcis-13999	92	10	developing	develop	VERB
fcis-13999	92	11	robust	robust	ADJ
fcis-13999	92	12	and	and	CCONJ
fcis-13999	92	13	effective	effective	ADJ
fcis-13999	92	14	unsupervised	unsupervised	ADJ
fcis-13999	92	15	/	/	SYM
fcis-13999	92	16	semi	semi	ADJ
fcis-13999	92	17	-	-	ADJ
fcis-13999	92	18	supervised	supervised	ADJ
fcis-13999	92	19	feature	feature	NOUN
fcis-13999	92	20	learning	learn	VERB
fcis-13999	92	21	frameworks	framework	NOUN
fcis-13999	92	22	based	base	VERB
fcis-13999	92	23	on	on	ADP
fcis-13999	92	24	deep	deep	ADJ
fcis-13999	92	25	learning	learning	NOUN
fcis-13999	92	26	for	for	ADP
fcis-13999	92	27	hsi	hsi	PROPN
fcis-13999	92	28	classification	classification	NOUN
fcis-13999	92	29	.	.	PUNCT
fcis-13999	93	1	in	in	ADP
fcis-13999	93	2	unsupervised	unsupervised	ADJ
fcis-13999	93	3	/	/	SYM
fcis-13999	93	4	semi	semi	ADJ
fcis-13999	93	5	-	-	ADJ
fcis-13999	93	6	supervised	supervised	ADJ
fcis-13999	93	7	deep	deep	ADJ
fcis-13999	93	8	feature	feature	NOUN
fcis-13999	93	9	learning	learning	NOUN
fcis-13999	93	10	,	,	PUNCT
fcis-13999	93	11	the	the	DET
fcis-13999	93	12	top	top	ADJ
fcis-13999	93	13	flowchart	flowchart	NOUN
fcis-13999	93	14	extracts	extract	NOUN
fcis-13999	93	15	informative	informative	ADJ
fcis-13999	93	16	features	feature	NOUN
fcis-13999	93	17	from	from	ADP
fcis-13999	93	18	unlabeled	unlabeled	ADJ
fcis-13999	93	19	data	datum	NOUN
fcis-13999	93	20	in	in	ADP
fcis-13999	93	21	an	an	DET
fcis-13999	93	22	unsupervised	unsupervised	ADJ
fcis-13999	93	23	manner	manner	NOUN
fcis-13999	93	24	.	.	PUNCT
fcis-13999	94	1	the	the	DET
fcis-13999	94	2	deep	deep	ADJ
fcis-13999	94	3	network	network	NOUN
fcis-13999	94	4	,	,	PUNCT
fcis-13999	94	5	structured	structure	VERB
fcis-13999	94	6	as	as	ADP
fcis-13999	94	7	an	an	DET
fcis-13999	94	8	encoder	encoder	NOUN
fcis-13999	94	9	-	-	PUNCT
fcis-13999	94	10	decoder	decoder	NOUN
fcis-13999	94	11	paradigm	paradigm	NOUN
fcis-13999	94	12	,	,	PUNCT
fcis-13999	94	13	learns	learn	VERB
fcis-13999	94	14	without	without	ADP
fcis-13999	94	15	using	use	VERB
fcis-13999	94	16	label	label	NOUN
fcis-13999	94	17	information	information	NOUN
fcis-13999	94	18	.	.	PUNCT
fcis-13999	95	1	additionally	additionally	ADV
fcis-13999	95	2	,	,	PUNCT
fcis-13999	95	3	the	the	DET
fcis-13999	95	4	classification	classification	NOUN
fcis-13999	95	5	performance	performance	NOUN
fcis-13999	95	6	can	can	AUX
fcis-13999	95	7	be	be	AUX
fcis-13999	95	8	enhanced	enhance	VERB
fcis-13999	95	9	by	by	ADP
fcis-13999	95	10	transferring	transfer	VERB
fcis-13999	95	11	the	the	DET
fcis-13999	95	12	trained	train	VERB
fcis-13999	95	13	network	network	NOUN
fcis-13999	95	14	and	and	CCONJ
fcis-13999	95	15	fine	fine	ADV
fcis-13999	95	16	-	-	PUNCT
fcis-13999	95	17	tuning	tune	VERB
fcis-13999	95	18	it	it	PRON
fcis-13999	95	19	on	on	ADP
fcis-13999	95	20	the	the	DET
fcis-13999	95	21	labeled	label	VERB
fcis-13999	95	22	dataset	dataset	NOUN
fcis-13999	95	23	,	,	PUNCT
fcis-13999	95	24	as	as	SCONJ
fcis-13999	95	25	shown	show	VERB
fcis-13999	95	26	at	at	ADP
fcis-13999	95	27	the	the	DET
fcis-13999	95	28	bottom	bottom	NOUN
fcis-13999	95	29	of	of	ADP
fcis-13999	95	30	the	the	DET
fcis-13999	95	31	flowchart	flowchart	NOUN
fcis-13999	95	32	in	in	ADP
fcis-13999	95	33	fig	fig	NOUN
fcis-13999	95	34	.	.	PUNCT
fcis-13999	96	1	2	2	X
fcis-13999	96	2	.	.	X
fcis-13999	96	3	fig	fig	NOUN
fcis-13999	96	4	2	2	NUM
fcis-13999	96	5	.	.	PUNCT
fcis-13999	96	6	illustration	illustration	NOUN
fcis-13999	96	7	of	of	ADP
fcis-13999	96	8	unsupervised	unsupervised	ADJ
fcis-13999	96	9	/	/	SYM
fcis-13999	96	10	semi	semi	ADJ
fcis-13999	96	11	-	-	ADJ
fcis-13999	96	12	supervised	supervised	ADJ
fcis-13999	96	13	feature	feature	NOUN
fcis-13999	96	14	learning	learning	NOUN
fcis-13999	96	15	associated	associate	VERB
fcis-13999	96	16	with	with	ADP
fcis-13999	96	17	deep	deep	ADJ
fcis-13999	96	18	learning	learning	NOUN
fcis-13999	96	19	.	.	PUNCT
fcis-13999	97	1	the	the	DET
fcis-13999	97	2	top	top	ADJ
fcis-13999	97	3	part	part	NOUN
fcis-13999	97	4	represents	represent	VERB
fcis-13999	97	5	the	the	DET
fcis-13999	97	6	unsupervised	unsupervised	ADJ
fcis-13999	97	7	deep	deep	ADJ
fcis-13999	97	8	feature	feature	NOUN
fcis-13999	97	9	learning	learning	NOUN
fcis-13999	97	10	,	,	PUNCT
fcis-13999	97	11	and	and	CCONJ
fcis-13999	97	12	the	the	DET
fcis-13999	97	13	bottom	bottom	ADJ
fcis-13999	97	14	part	part	NOUN
fcis-13999	97	15	illustrates	illustrate	VERB
fcis-13999	97	16	the	the	DET
fcis-13999	97	17	semi	semi	ADJ
fcis-13999	97	18	-	-	ADJ
fcis-13999	97	19	supervised	supervised	ADJ
fcis-13999	97	20	way	way	NOUN
fcis-13999	97	21	for	for	ADP
fcis-13999	97	22	feature	feature	NOUN
fcis-13999	97	23	learning	learning	NOUN
fcis-13999	97	24	.	.	PUNCT
fcis-13999	98	1	4	4	X
fcis-13999	98	2	.	.	X
fcis-13999	98	3	experimental	experimental	ADJ
fcis-13999	98	4	strategy	strategy	NOUN
fcis-13999	98	5	this	this	DET
fcis-13999	98	6	section	section	NOUN
fcis-13999	98	7	comprises	comprise	VERB
fcis-13999	98	8	comprehensive	comprehensive	ADJ
fcis-13999	98	9	experiments	experiment	NOUN
fcis-13999	98	10	focusing	focus	VERB
fcis-13999	98	11	on	on	ADP
fcis-13999	98	12	some	some	DET
fcis-13999	98	13	key	key	ADJ
fcis-13999	98	14	aspects	aspect	NOUN
fcis-13999	98	15	.	.	PUNCT
fcis-13999	99	1	firstly	firstly	ADV
fcis-13999	99	2	,	,	PUNCT
fcis-13999	99	3	it	it	PRON
fcis-13999	99	4	is	be	AUX
fcis-13999	99	5	the	the	DET
fcis-13999	99	6	advantages	advantage	NOUN
fcis-13999	99	7	of	of	ADP
fcis-13999	99	8	deep	deep	ADJ
fcis-13999	99	9	learning	learning	NOUN
fcis-13999	99	10	over	over	ADP
fcis-13999	99	11	traditional	traditional	ADJ
fcis-13999	99	12	methods	method	NOUN
fcis-13999	99	13	in	in	ADP
fcis-13999	99	14	hsi	hsi	PROPN
fcis-13999	99	15	classification	classification	NOUN
fcis-13999	99	16	through	through	ADP
fcis-13999	99	17	a	a	DET
fcis-13999	99	18	series	series	NOUN
fcis-13999	99	19	of	of	ADP
fcis-13999	99	20	designed	design	VERB
fcis-13999	99	21	experiments	experiment	NOUN
fcis-13999	99	22	.	.	PUNCT
fcis-13999	100	1	secondly	secondly	ADV
fcis-13999	100	2	,	,	PUNCT
fcis-13999	100	3	we	we	PRON
fcis-13999	100	4	systematically	systematically	ADV
fcis-13999	100	5	compare	compare	VERB
fcis-13999	100	6	the	the	DET
fcis-13999	100	7	classification	classification	NOUN
fcis-13999	100	8	performance	performance	NOUN
fcis-13999	100	9	of	of	ADP
fcis-13999	100	10	recent	recent	ADJ
fcis-13999	100	11	state	state	NOUN
fcis-13999	100	12	-	-	PUNCT
fcis-13999	100	13	of	of	ADP
fcis-13999	100	14	-	-	PUNCT
fcis-13999	100	15	the	the	DET
fcis-13999	100	16	-	-	PUNCT
fcis-13999	100	17	art	art	NOUN
fcis-13999	100	18	deep	deep	ADJ
fcis-13999	100	19	learning	learning	NOUN
fcis-13999	100	20	approaches	approach	NOUN
fcis-13999	100	21	.	.	PUNCT
fcis-13999	101	1	the	the	DET
fcis-13999	101	2	visualization	visualization	NOUN
fcis-13999	101	3	of	of	ADP
fcis-13999	101	4	learned	learn	VERB
fcis-13999	101	5	deep	deep	ADJ
fcis-13999	101	6	features	feature	NOUN
fcis-13999	101	7	and	and	CCONJ
fcis-13999	101	8	network	network	NOUN
fcis-13999	101	9	weights	weight	NOUN
fcis-13999	101	10	is	be	AUX
fcis-13999	101	11	conducted	conduct	VERB
fcis-13999	101	12	to	to	PART
fcis-13999	101	13	gain	gain	VERB
fcis-13999	101	14	insights	insight	NOUN
fcis-13999	101	15	into	into	ADP
fcis-13999	101	16	the	the	DET
fcis-13999	101	17	"	"	PUNCT
fcis-13999	101	18	black	black	ADJ
fcis-13999	101	19	box	box	NOUN
fcis-13999	101	20	"	"	PUNCT
fcis-13999	101	21	nature	nature	NOUN
fcis-13999	101	22	of	of	ADP
fcis-13999	101	23	the	the	DET
fcis-13999	101	24	models	model	NOUN
fcis-13999	101	25	.	.	PUNCT
fcis-13999	102	1	deep	deep	ADJ
fcis-13999	102	2	learning	learning	NOUN
fcis-13999	102	3	is	be	AUX
fcis-13999	102	4	often	often	ADV
fcis-13999	102	5	considered	consider	VERB
fcis-13999	102	6	a	a	DET
fcis-13999	102	7	black	black	ADJ
fcis-13999	102	8	box	box	NOUN
fcis-13999	102	9	,	,	PUNCT
fcis-13999	102	10	with	with	ADP
fcis-13999	102	11	internal	internal	ADJ
fcis-13999	102	12	network	network	NOUN
fcis-13999	102	13	details	detail	NOUN
fcis-13999	102	14	remaining	remain	VERB
fcis-13999	102	15	unclear	unclear	ADJ
fcis-13999	102	16	in	in	ADP
fcis-13999	102	17	many	many	ADJ
fcis-13999	102	18	applications	application	NOUN
fcis-13999	102	19	.	.	PUNCT
fcis-13999	103	1	however	however	ADV
fcis-13999	103	2	,	,	PUNCT
fcis-13999	103	3	understanding	understand	VERB
fcis-13999	103	4	these	these	DET
fcis-13999	103	5	internal	internal	ADJ
fcis-13999	103	6	features	feature	NOUN
fcis-13999	103	7	is	be	AUX
fcis-13999	103	8	crucial	crucial	ADJ
fcis-13999	103	9	for	for	ADP
fcis-13999	103	10	analyzing	analyze	VERB
fcis-13999	103	11	network	network	NOUN
fcis-13999	103	12	performance	performance	NOUN
fcis-13999	103	13	and	and	CCONJ
fcis-13999	103	14	refining	refine	VERB
fcis-13999	103	15	deep	deep	ADJ
fcis-13999	103	16	architectures	architecture	NOUN
fcis-13999	103	17	.	.	PUNCT
fcis-13999	104	1	in	in	ADP
fcis-13999	104	2	this	this	DET
fcis-13999	104	3	section	section	NOUN
fcis-13999	104	4	,	,	PUNCT
fcis-13999	104	5	we	we	PRON
fcis-13999	104	6	use	use	VERB
fcis-13999	104	7	the	the	DET
fcis-13999	104	8	salinas	salinas	PROPN
fcis-13999	104	9	dataset	dataset	VERB
fcis-13999	104	10	to	to	PART
fcis-13999	104	11	visualize	visualize	VERB
fcis-13999	104	12	deep	deep	ADJ
fcis-13999	104	13	features	feature	NOUN
fcis-13999	104	14	.	.	PUNCT
fcis-13999	105	1	the	the	DET
fcis-13999	105	2	weights	weight	NOUN
fcis-13999	105	3	of	of	ADP
fcis-13999	105	4	various	various	ADJ
fcis-13999	105	5	convolutional	convolutional	ADJ
fcis-13999	105	6	kernels	kernel	NOUN
fcis-13999	105	7	in	in	ADP
fcis-13999	105	8	the	the	DET
fcis-13999	105	9	first	first	ADJ
fcis-13999	105	10	layer	layer	NOUN
fcis-13999	105	11	are	be	AUX
fcis-13999	105	12	initially	initially	ADV
fcis-13999	105	13	random	random	ADJ
fcis-13999	105	14	.	.	PUNCT
fcis-13999	106	1	after	after	ADP
fcis-13999	106	2	training	training	NOUN
fcis-13999	106	3	,	,	PUNCT
fcis-13999	106	4	the	the	DET
fcis-13999	106	5	weight	weight	NOUN
fcis-13999	106	6	distribution	distribution	NOUN
fcis-13999	106	7	becomes	become	VERB
fcis-13999	106	8	more	more	ADV
fcis-13999	106	9	regular	regular	ADJ
fcis-13999	106	10	,	,	PUNCT
fcis-13999	106	11	showcasing	showcase	VERB
fcis-13999	106	12	distinct	distinct	ADJ
fcis-13999	106	13	textural	textural	ADJ
fcis-13999	106	14	features	feature	NOUN
fcis-13999	106	15	.	.	PUNCT
fcis-13999	107	1	for	for	ADP
fcis-13999	107	2	instance	instance	NOUN
fcis-13999	107	3	,	,	PUNCT
fcis-13999	107	4	the	the	DET
fcis-13999	107	5	weights	weight	NOUN
fcis-13999	107	6	in	in	ADP
fcis-13999	107	7	the	the	DET
fcis-13999	107	8	first	first	ADJ
fcis-13999	107	9	kernel	kernel	NOUN
fcis-13999	107	10	exhibit	exhibit	VERB
fcis-13999	107	11	a	a	DET
fcis-13999	107	12	gradual	gradual	ADJ
fcis-13999	107	13	decrease	decrease	NOUN
fcis-13999	107	14	from	from	ADP
fcis-13999	107	15	the	the	DET
fcis-13999	107	16	left	left	NOUN
fcis-13999	107	17	to	to	ADP
fcis-13999	107	18	the	the	DET
fcis-13999	107	19	right	right	ADJ
fcis-13999	107	20	side	side	NOUN
fcis-13999	107	21	,	,	PUNCT
fcis-13999	107	22	a	a	DET
fcis-13999	107	23	pattern	pattern	NOUN
fcis-13999	107	24	divergent	divergent	ADJ
fcis-13999	107	25	from	from	ADP
fcis-13999	107	26	randomly	randomly	ADV
fcis-13999	107	27	initialized	initialize	VERB
fcis-13999	107	28	weights[30	weights[30	NOUN
fcis-13999	107	29	]	]	PUNCT
fcis-13999	107	30	.	.	PUNCT
fcis-13999	108	1	early	early	ADJ
fcis-13999	108	2	convolution	convolution	NOUN
fcis-13999	108	3	layers	layer	NOUN
fcis-13999	108	4	extract	extract	VERB
fcis-13999	108	5	simple	simple	ADJ
fcis-13999	108	6	features	feature	NOUN
fcis-13999	108	7	like	like	ADP
fcis-13999	108	8	texture	texture	NOUN
fcis-13999	108	9	and	and	CCONJ
fcis-13999	108	10	edges	edge	NOUN
fcis-13999	108	11	,	,	PUNCT
fcis-13999	108	12	which	which	PRON
fcis-13999	108	13	are	be	AUX
fcis-13999	108	14	then	then	ADV
fcis-13999	108	15	composed	compose	VERB
fcis-13999	108	16	into	into	ADP
fcis-13999	108	17	more	more	ADV
fcis-13999	108	18	complex	complex	ADJ
fcis-13999	108	19	high	high	ADJ
fcis-13999	108	20	-	-	PUNCT
fcis-13999	108	21	level	level	NOUN
fcis-13999	108	22	features	feature	NOUN
fcis-13999	108	23	through	through	ADP
fcis-13999	108	24	deeper	deep	ADJ
fcis-13999	108	25	layers	layer	NOUN
fcis-13999	108	26	.	.	PUNCT
fcis-13999	109	1	the	the	DET
fcis-13999	109	2	automatic	automatic	ADJ
fcis-13999	109	3	learning	learning	NOUN
fcis-13999	109	4	process	process	NOUN
fcis-13999	109	5	makes	make	VERB
fcis-13999	109	6	cnns	cnns	ADJ
fcis-13999	109	7	well	well	ADV
fcis-13999	109	8	-	-	PUNCT
fcis-13999	109	9	suited	suit	VERB
fcis-13999	109	10	for	for	ADP
fcis-13999	109	11	handling	handle	VERB
fcis-13999	109	12	diverse	diverse	ADJ
fcis-13999	109	13	situations	situation	NOUN
fcis-13999	109	14	.	.	PUNCT
fcis-13999	110	1	5	5	X
fcis-13999	110	2	.	.	X
fcis-13999	110	3	conclusion	conclusion	NOUN
fcis-13999	110	4	data	data	NOUN
fcis-13999	110	5	-	-	PUNCT
fcis-13999	110	6	driven	drive	VERB
fcis-13999	110	7	deep	deep	ADJ
fcis-13999	110	8	learning	learning	NOUN
fcis-13999	110	9	-	-	PUNCT
fcis-13999	110	10	based	base	VERB
fcis-13999	110	11	hyperspectral	hyperspectral	ADJ
fcis-13999	110	12	image	image	NOUN
fcis-13999	110	13	(	(	PUNCT
fcis-13999	110	14	hsi	hsi	PROPN
fcis-13999	110	15	)	)	PUNCT
fcis-13999	110	16	classification	classification	NOUN
fcis-13999	110	17	has	have	AUX
fcis-13999	110	18	gained	gain	VERB
fcis-13999	110	19	significant	significant	ADJ
fcis-13999	110	20	attention	attention	NOUN
fcis-13999	110	21	in	in	ADP
fcis-13999	110	22	remote	remote	ADJ
fcis-13999	110	23	sensing	sensing	NOUN
fcis-13999	110	24	,	,	PUNCT
fcis-13999	110	25	exhibiting	exhibit	VERB
fcis-13999	110	26	commendable	commendable	ADJ
fcis-13999	110	27	performance	performance	NOUN
fcis-13999	110	28	compared	compare	VERB
fcis-13999	110	29	to	to	ADP
fcis-13999	110	30	traditional	traditional	ADJ
fcis-13999	110	31	hand	hand	NOUN
fcis-13999	110	32	-	-	PUNCT
fcis-13999	110	33	crafted	craft	VERB
fcis-13999	110	34	feature	feature	NOUN
fcis-13999	110	35	-	-	PUNCT
fcis-13999	110	36	based	base	VERB
fcis-13999	110	37	methods	method	NOUN
fcis-13999	110	38	.	.	PUNCT
fcis-13999	111	1	this	this	DET
fcis-13999	111	2	survey	survey	NOUN
fcis-13999	111	3	introduces	introduce	VERB
fcis-13999	111	4	key	key	ADJ
fcis-13999	111	5	deep	deep	ADJ
fcis-13999	111	6	models	model	NOUN
fcis-13999	111	7	like	like	ADP
fcis-13999	111	8	sae	sae	PROPN
fcis-13999	111	9	,	,	PUNCT
fcis-13999	111	10	dbn	dbn	PROPN
fcis-13999	111	11	,	,	PUNCT
fcis-13999	111	12	cnn	cnn	PROPN
fcis-13999	111	13	,	,	PUNCT
fcis-13999	111	14	rnn	rnn	PROPN
fcis-13999	111	15	,	,	PUNCT
fcis-13999	111	16	and	and	CCONJ
fcis-13999	111	17	gan	gin	VERB
fcis-13999	111	18	commonly	commonly	ADV
fcis-13999	111	19	used	use	VERB
fcis-13999	111	20	for	for	ADP
fcis-13999	111	21	hsi	hsi	PROPN
fcis-13999	111	22	classification	classification	NOUN
fcis-13999	111	23	.	.	PUNCT
fcis-13999	112	1	it	it	PRON
fcis-13999	112	2	offers	offer	VERB
fcis-13999	112	3	a	a	DET
fcis-13999	112	4	unified	unified	ADJ
fcis-13999	112	5	framework	framework	NOUN
fcis-13999	112	6	for	for	ADP
fcis-13999	112	7	a	a	DET
fcis-13999	112	8	comprehensive	comprehensive	ADJ
fcis-13999	112	9	overview	overview	NOUN
fcis-13999	112	10	of	of	ADP
fcis-13999	112	11	existing	exist	VERB
fcis-13999	112	12	deep	deep	ADJ
fcis-13999	112	13	learning	learning	NOUN
fcis-13999	112	14	-	-	PUNCT
fcis-13999	112	15	based	base	VERB
fcis-13999	112	16	methodologies	methodology	NOUN
fcis-13999	112	17	,	,	PUNCT
fcis-13999	112	18	categorizing	categorize	VERB
fcis-13999	112	19	them	they	PRON
fcis-13999	112	20	into	into	ADP
fcis-13999	112	21	spectral	spectral	ADJ
fcis-13999	112	22	-	-	PUNCT
fcis-13999	112	23	feature	feature	NOUN
fcis-13999	112	24	networks	network	NOUN
fcis-13999	112	25	,	,	PUNCT
fcis-13999	112	26	spatial	spatial	ADJ
fcis-13999	112	27	-	-	PUNCT
fcis-13999	112	28	feature	feature	NOUN
fcis-13999	112	29	networks	network	NOUN
fcis-13999	112	30	,	,	PUNCT
fcis-13999	112	31	and	and	CCONJ
fcis-13999	112	32	spectral	spectral	ADJ
fcis-13999	112	33	-	-	PUNCT
fcis-13999	112	34	spatial	spatial	ADJ
fcis-13999	112	35	-	-	PUNCT
fcis-13999	112	36	feature	feature	NOUN
fcis-13999	112	37	networks	network	NOUN
fcis-13999	112	38	.	.	PUNCT
fcis-13999	113	1	the	the	DET
fcis-13999	113	2	comparison	comparison	NOUN
fcis-13999	113	3	of	of	ADP
fcis-13999	113	4	traditional	traditional	ADJ
fcis-13999	113	5	and	and	CCONJ
fcis-13999	113	6	deep	deep	ADJ
fcis-13999	113	7	learning	learning	NOUN
fcis-13999	113	8	-	-	PUNCT
fcis-13999	113	9	based	base	VERB
fcis-13999	113	10	hsi	hsi	PROPN
fcis-13999	113	11	classification	classification	NOUN
fcis-13999	113	12	methods	method	NOUN
fcis-13999	113	13	reveals	reveal	VERB
fcis-13999	113	14	the	the	DET
fcis-13999	113	15	superior	superior	ADJ
fcis-13999	113	16	performance	performance	NOUN
fcis-13999	113	17	of	of	ADP
fcis-13999	113	18	deep	deep	ADJ
fcis-13999	113	19	learning	learning	NOUN
fcis-13999	113	20	methods	method	NOUN
fcis-13999	113	21	,	,	PUNCT
fcis-13999	113	22	with	with	ADP
fcis-13999	113	23	the	the	DET
fcis-13999	113	24	dffn	dffn	NOUN
fcis-13999	113	25	,	,	PUNCT
fcis-13999	113	26	incorporating	incorporate	VERB
fcis-13999	113	27	residual	residual	ADJ
fcis-13999	113	28	learning	learning	NOUN
fcis-13999	113	29	and	and	CCONJ
fcis-13999	113	30	feature	feature	NOUN
fcis-13999	113	31	fusion	fusion	NOUN
fcis-13999	113	32	,	,	PUNCT
fcis-13999	113	33	achieving	achieve	VERB
fcis-13999	113	34	the	the	DET
fcis-13999	113	35	best	good	ADJ
fcis-13999	113	36	results	result	NOUN
fcis-13999	113	37	.	.	PUNCT
fcis-13999	114	1	visualization	visualization	NOUN
fcis-13999	114	2	of	of	ADP
fcis-13999	114	3	deep	deep	ADJ
fcis-13999	114	4	features	feature	NOUN
fcis-13999	114	5	and	and	CCONJ
fcis-13999	114	6	network	network	NOUN
fcis-13999	114	7	weights	weight	NOUN
fcis-13999	114	8	aids	aid	NOUN
fcis-13999	114	9	in	in	ADP
fcis-13999	114	10	performance	performance	NOUN
fcis-13999	114	11	analysis	analysis	NOUN
fcis-13999	114	12	and	and	CCONJ
fcis-13999	114	13	architectural	architectural	ADJ
fcis-13999	114	14	design	design	NOUN
fcis-13999	114	15	.	.	PUNCT
fcis-13999	115	1	considering	consider	VERB
fcis-13999	115	2	the	the	DET
fcis-13999	115	3	limitation	limitation	NOUN
fcis-13999	115	4	of	of	ADP
fcis-13999	115	5	available	available	ADJ
fcis-13999	115	6	training	training	NOUN
fcis-13999	115	7	samples	sample	NOUN
fcis-13999	115	8	in	in	ADP
fcis-13999	115	9	remote	remote	ADJ
fcis-13999	115	10	sensing	sensing	NOUN
fcis-13999	115	11	,	,	PUNCT
fcis-13999	115	12	strategies	strategy	NOUN
fcis-13999	115	13	to	to	PART
fcis-13999	115	14	enhance	enhance	VERB
fcis-13999	115	15	classification	classification	NOUN
fcis-13999	115	16	performance	performance	NOUN
fcis-13999	115	17	are	be	AUX
fcis-13999	115	18	explored	explore	VERB
fcis-13999	115	19	,	,	PUNCT
fcis-13999	115	20	with	with	ADP
fcis-13999	115	21	experiments	experiment	NOUN
fcis-13999	115	22	confirming	confirm	VERB
fcis-13999	115	23	the	the	DET
fcis-13999	115	24	efficacy	efficacy	NOUN
fcis-13999	115	25	of	of	ADP
fcis-13999	115	26	these	these	DET
fcis-13999	115	27	approaches	approach	NOUN
fcis-13999	115	28	.	.	PUNCT
fcis-13999	116	1	residual	residual	ADJ
fcis-13999	116	2	learning	learning	NOUN
fcis-13999	116	3	stands	stand	VERB
fcis-13999	116	4	out	out	ADP
fcis-13999	116	5	as	as	ADP
fcis-13999	116	6	the	the	DET
fcis-13999	116	7	most	most	ADV
fcis-13999	116	8	effective	effective	ADJ
fcis-13999	116	9	strategy	strategy	NOUN
fcis-13999	116	10	,	,	PUNCT
fcis-13999	116	11	providing	provide	VERB
fcis-13999	116	12	valuable	valuable	ADJ
fcis-13999	116	13	insights	insight	NOUN
fcis-13999	116	14	for	for	ADP
fcis-13999	116	15	future	future	ADJ
fcis-13999	116	16	studies	study	NOUN
fcis-13999	116	17	in	in	ADP
fcis-13999	116	18	this	this	DET
fcis-13999	116	19	field	field	NOUN
fcis-13999	116	20	.	.	PUNCT
fcis-13999	117	1	references	reference	NOUN
fcis-13999	117	2	[	[	X
fcis-13999	117	3	1	1	X
fcis-13999	117	4	]	]	PUNCT
fcis-13999	117	5	s.	s.	PROPN
fcis-13999	117	6	gui	gui	PROPN
fcis-13999	117	7	,	,	PUNCT
fcis-13999	117	8	r.	r.	PROPN
fcis-13999	117	9	qin	qin	PROPN
fcis-13999	117	10	,	,	PUNCT
fcis-13999	117	11	y.	y.	PROPN
fcis-13999	117	12	tang	tang	PROPN
fcis-13999	117	13	,	,	PUNCT
fcis-13999	117	14	sat2lod2	sat2lod2	PROPN
fcis-13999	117	15	:	:	PUNCT
fcis-13999	117	16	a	a	DET
fcis-13999	117	17	software	software	NOUN
fcis-13999	117	18	for	for	ADP
fcis-13999	117	19	automated	automate	VERB
fcis-13999	117	20	lod-2	lod-2	NUM
fcis-13999	117	21	modeling	modeling	NOUN
fcis-13999	117	22	from	from	ADP
fcis-13999	117	23	satellite	satellite	NOUN
fcis-13999	117	24	-	-	PUNCT
fcis-13999	117	25	derived	derive	VERB
fcis-13999	117	26	orthophoto	orthophoto	NOUN
fcis-13999	117	27	and	and	CCONJ
fcis-13999	117	28	digital	digital	ADJ
fcis-13999	117	29	surface	surface	NOUN
fcis-13999	117	30	model	model	NOUN
fcis-13999	117	31	,	,	PUNCT
fcis-13999	117	32	arxiv	arxiv	PROPN
fcis-13999	117	33	preprint	preprint	NOUN
fcis-13999	117	34	arxiv:2204.04139	arxiv:2204.04139	NOUN
fcis-13999	117	35	(	(	PUNCT
fcis-13999	117	36	2022	2022	NUM
fcis-13999	117	37	)	)	PUNCT
fcis-13999	117	38	.	.	PUNCT
fcis-13999	118	1	[	[	X
fcis-13999	118	2	2	2	X
fcis-13999	118	3	]	]	X
fcis-13999	118	4	d.	d.	PROPN
fcis-13999	118	5	huang	huang	PROPN
fcis-13999	118	6	,	,	PUNCT
fcis-13999	118	7	y.	y.	PROPN
fcis-13999	118	8	tang	tang	PROPN
fcis-13999	118	9	,	,	PUNCT
fcis-13999	118	10	r.	r.	PROPN
fcis-13999	118	11	qin	qin	PROPN
fcis-13999	118	12	,	,	PUNCT
fcis-13999	118	13	an	an	DET
fcis-13999	118	14	evaluation	evaluation	NOUN
fcis-13999	118	15	of	of	ADP
fcis-13999	118	16	planetscope	planetscope	NOUN
fcis-13999	118	17	images	image	NOUN
fcis-13999	118	18	for	for	ADP
fcis-13999	118	19	3d	3d	NOUN
fcis-13999	118	20	reconstruction	reconstruction	NOUN
fcis-13999	118	21	and	and	CCONJ
fcis-13999	118	22	change	change	NOUN
fcis-13999	118	23	detection	detection	NOUN
fcis-13999	118	24	–	–	PUNCT
fcis-13999	118	25	experimental	experimental	ADJ
fcis-13999	118	26	validations	validation	NOUN
fcis-13999	118	27	with	with	ADP
fcis-13999	118	28	case	case	NOUN
fcis-13999	118	29	studies	study	NOUN
fcis-13999	118	30	,	,	PUNCT
fcis-13999	118	31	giscience	giscience	NOUN
fcis-13999	118	32	&	&	CCONJ
fcis-13999	118	33	remote	remote	ADJ
fcis-13999	118	34	sensing	sense	VERB
fcis-13999	118	35	59(1	59(1	NUM
fcis-13999	118	36	)	)	PUNCT
fcis-13999	118	37	(	(	PUNCT
fcis-13999	118	38	2022	2022	NUM
fcis-13999	118	39	)	)	PUNCT
fcis-13999	118	40	744	744	NUM
fcis-13999	118	41	-	-	SYM
fcis-13999	118	42	761	761	NUM
fcis-13999	118	43	.	.	PUNCT
fcis-13999	119	1	[	[	X
fcis-13999	119	2	3	3	NUM
fcis-13999	119	3	]	]	PUNCT
fcis-13999	119	4	x.	x.	NOUN
fcis-13999	119	5	lai	lai	PROPN
fcis-13999	119	6	,	,	PUNCT
fcis-13999	119	7	y.	y.	PROPN
fcis-13999	119	8	tang	tang	PROPN
fcis-13999	119	9	,	,	PUNCT
fcis-13999	119	10	l.	l.	PROPN
fcis-13999	119	11	li	li	PROPN
fcis-13999	119	12	,	,	PUNCT
fcis-13999	119	13	p.	p.	PROPN
fcis-13999	119	14	chan	chan	PROPN
fcis-13999	119	15	,	,	PUNCT
fcis-13999	119	16	q.	q.	PROPN
fcis-13999	119	17	zeng	zeng	PROPN
fcis-13999	119	18	,	,	PUNCT
fcis-13999	119	19	study	study	VERB
fcis-13999	119	20	on	on	ADP
fcis-13999	119	21	microclimate	microclimate	NOUN
fcis-13999	119	22	observation	observation	NOUN
fcis-13999	119	23	network	network	NOUN
fcis-13999	119	24	for	for	ADP
fcis-13999	119	25	urban	urban	ADJ
fcis-13999	119	26	unit	unit	NOUN
fcis-13999	119	27	:	:	PUNCT
fcis-13999	119	28	a	a	DET
fcis-13999	119	29	case	case	NOUN
fcis-13999	119	30	study	study	NOUN
fcis-13999	119	31	in	in	ADP
fcis-13999	119	32	a	a	DET
fcis-13999	119	33	campus	campus	NOUN
fcis-13999	119	34	of	of	ADP
fcis-13999	119	35	shenzhen	shenzhen	PROPN
fcis-13999	119	36	,	,	PUNCT
fcis-13999	119	37	china	china	PROPN
fcis-13999	119	38	,	,	PUNCT
fcis-13999	119	39	physics	physics	NOUN
fcis-13999	119	40	and	and	CCONJ
fcis-13999	119	41	chemistry	chemistry	NOUN
fcis-13999	119	42	of	of	ADP
fcis-13999	119	43	the	the	DET
fcis-13999	119	44	earth	earth	NOUN
fcis-13999	119	45	,	,	PUNCT
fcis-13999	119	46	parts	part	VERB
fcis-13999	119	47	a	a	PRON
fcis-13999	119	48	/	/	SYM
fcis-13999	119	49	b	b	NOUN
fcis-13999	119	50	/	/	SYM
fcis-13999	119	51	c	c	NOUN
fcis-13999	119	52	110	110	NUM
fcis-13999	119	53	(	(	PUNCT
fcis-13999	119	54	2019	2019	NUM
fcis-13999	119	55	)	)	PUNCT
fcis-13999	119	56	117	117	NUM
fcis-13999	119	57	-	-	SYM
fcis-13999	119	58	124	124	NUM
fcis-13999	119	59	.	.	PUNCT
fcis-13999	120	1	[	[	X
fcis-13999	120	2	4	4	NUM
fcis-13999	120	3	]	]	X
fcis-13999	120	4	y.	y.	PROPN
fcis-13999	120	5	tang	tang	PROPN
fcis-13999	120	6	,	,	PUNCT
fcis-13999	120	7	s.	s.	PROPN
fcis-13999	120	8	song	song	PROPN
fcis-13999	120	9	,	,	PUNCT
fcis-13999	120	10	s.	s.	PROPN
fcis-13999	120	11	gui	gui	PROPN
fcis-13999	120	12	,	,	PUNCT
fcis-13999	120	13	w.	w.	PROPN
fcis-13999	120	14	chao	chao	PROPN
fcis-13999	120	15	,	,	PUNCT
fcis-13999	120	16	c.	c.	PROPN
fcis-13999	120	17	cheng	cheng	PROPN
fcis-13999	120	18	,	,	PUNCT
fcis-13999	120	19	r.	r.	PROPN
fcis-13999	120	20	qin	qin	PROPN
fcis-13999	120	21	,	,	PUNCT
fcis-13999	120	22	active	active	ADJ
fcis-13999	120	23	and	and	CCONJ
fcis-13999	120	24	low	low	ADJ
fcis-13999	120	25	-	-	PUNCT
fcis-13999	120	26	cost	cost	NOUN
fcis-13999	120	27	hyperspectral	hyperspectral	ADJ
fcis-13999	120	28	imaging	imaging	NOUN
fcis-13999	120	29	for	for	ADP
fcis-13999	120	30	the	the	DET
fcis-13999	120	31	spectral	spectral	ADJ
fcis-13999	120	32	analysis	analysis	NOUN
fcis-13999	120	33	of	of	ADP
fcis-13999	120	34	a	a	DET
fcis-13999	120	35	low	low	ADJ
fcis-13999	120	36	-	-	PUNCT
fcis-13999	120	37	light	light	NOUN
fcis-13999	120	38	environment	environment	NOUN
fcis-13999	120	39	,	,	PUNCT
fcis-13999	120	40	sensors	sensor	NOUN
fcis-13999	120	41	23(3	23(3	NUM
fcis-13999	120	42	)	)	PUNCT
fcis-13999	120	43	(	(	PUNCT
fcis-13999	120	44	2023	2023	NUM
fcis-13999	120	45	)	)	PUNCT
fcis-13999	120	46	1437	1437	NUM
fcis-13999	120	47	.	.	PUNCT
fcis-13999	121	1	[	[	X
fcis-13999	121	2	5	5	X
fcis-13999	121	3	]	]	PUNCT
fcis-13999	121	4	p.	p.	NOUN
fcis-13999	121	5	ghamisi	ghamisi	PROPN
fcis-13999	121	6	,	,	PUNCT
fcis-13999	121	7	e.	e.	PROPN
fcis-13999	121	8	maggiori	maggiori	PROPN
fcis-13999	121	9	,	,	PUNCT
fcis-13999	121	10	s.	s.	PROPN
fcis-13999	121	11	li	li	PROPN
fcis-13999	121	12	,	,	PUNCT
fcis-13999	121	13	r.	r.	PROPN
fcis-13999	121	14	souza	souza	PROPN
fcis-13999	121	15	,	,	PUNCT
fcis-13999	121	16	y.	y.	PROPN
fcis-13999	121	17	tarablaka	tarablaka	PROPN
fcis-13999	121	18	,	,	PUNCT
fcis-13999	121	19	g.	g.	PROPN
fcis-13999	121	20	moser	moser	PROPN
fcis-13999	121	21	,	,	PUNCT
fcis-13999	121	22	a.	a.	PROPN
fcis-13999	121	23	de	de	PROPN
fcis-13999	121	24	giorgi	giorgi	PROPN
fcis-13999	121	25	,	,	PUNCT
fcis-13999	121	26	l.	l.	PROPN
fcis-13999	121	27	fang	fang	PROPN
fcis-13999	121	28	,	,	PUNCT
fcis-13999	121	29	y.	y.	PROPN
fcis-13999	121	30	chen	chen	PROPN
fcis-13999	121	31	,	,	PUNCT
fcis-13999	121	32	m.	m.	NOUN
fcis-13999	121	33	chi	chi	PROPN
fcis-13999	121	34	,	,	PUNCT
fcis-13999	121	35	new	new	ADJ
fcis-13999	121	36	frontiers	frontier	NOUN
fcis-13999	121	37	in	in	ADP
fcis-13999	121	38	spectral	spectral	ADJ
fcis-13999	121	39	-	-	PUNCT
fcis-13999	121	40	spatial	spatial	ADJ
fcis-13999	121	41	hyperspectral	hyperspectral	ADJ
fcis-13999	121	42	image	image	NOUN
fcis-13999	121	43	classification	classification	NOUN
fcis-13999	121	44	:	:	PUNCT
fcis-13999	121	45	the	the	DET
fcis-13999	121	46	latest	late	ADJ
fcis-13999	121	47	advances	advance	NOUN
fcis-13999	121	48	based	base	VERB
fcis-13999	121	49	on	on	ADP
fcis-13999	121	50	mathematical	mathematical	ADJ
fcis-13999	121	51	morphology	morphology	NOUN
fcis-13999	121	52	,	,	PUNCT
fcis-13999	121	53	markov	markov	NOUN
fcis-13999	121	54	random	random	ADJ
fcis-13999	121	55	fields	field	NOUN
fcis-13999	121	56	,	,	PUNCT
fcis-13999	121	57	segmentation	segmentation	NOUN
fcis-13999	121	58	,	,	PUNCT
fcis-13999	121	59	sparse	sparse	ADJ
fcis-13999	121	60	representation	representation	NOUN
fcis-13999	121	61	,	,	PUNCT
fcis-13999	121	62	and	and	CCONJ
fcis-13999	121	63	deep	deep	ADJ
fcis-13999	121	64	learning	learning	NOUN
fcis-13999	121	65	,	,	PUNCT
fcis-13999	121	66	ieee	ieee	NOUN
fcis-13999	121	67	geoscience	geoscience	NOUN
fcis-13999	121	68	and	and	CCONJ
fcis-13999	121	69	remote	remote	ADJ
fcis-13999	121	70	sensing	sense	VERB
fcis-13999	121	71	magazine	magazine	NOUN
fcis-13999	121	72	6(3	6(3	NOUN
fcis-13999	121	73	)	)	PUNCT
fcis-13999	121	74	(	(	PUNCT
fcis-13999	121	75	2018	2018	NUM
fcis-13999	121	76	)	)	PUNCT
fcis-13999	121	77	1043	1043	NUM
fcis-13999	121	78	.	.	PUNCT
fcis-13999	122	1	[	[	X
fcis-13999	122	2	6	6	NUM
fcis-13999	122	3	]	]	PUNCT
fcis-13999	122	4	r.	r.	PROPN
fcis-13999	122	5	tao	tao	PROPN
fcis-13999	122	6	,	,	PUNCT
fcis-13999	122	7	p.	p.	PROPN
fcis-13999	122	8	zhao	zhao	PROPN
fcis-13999	122	9	,	,	PUNCT
fcis-13999	122	10	j.	j.	PROPN
fcis-13999	122	11	wu	wu	PROPN
fcis-13999	122	12	,	,	PUNCT
fcis-13999	122	13	n.f	n.f	PROPN
fcis-13999	122	14	.	.	PROPN
fcis-13999	122	15	martin	martin	PROPN
fcis-13999	122	16	,	,	PUNCT
fcis-13999	122	17	m.t	m.t	PROPN
fcis-13999	122	18	.	.	PROPN
fcis-13999	122	19	harrison	harrison	PROPN
fcis-13999	122	20	,	,	PUNCT
fcis-13999	122	21	c.	c.	PROPN
fcis-13999	122	22	ferreira	ferreira	PROPN
fcis-13999	122	23	,	,	PUNCT
fcis-13999	122	24	z.	z.	PROPN
fcis-13999	122	25	kalantari	kalantari	PROPN
fcis-13999	122	26	,	,	PUNCT
fcis-13999	122	27	n.	n.	PROPN
fcis-13999	122	28	hovakimyan	hovakimyan	PROPN
fcis-13999	122	29	,	,	PUNCT
fcis-13999	122	30	optimizing	optimize	VERB
fcis-13999	122	31	crop	crop	NOUN
fcis-13999	122	32	management	management	NOUN
fcis-13999	122	33	with	with	ADP
fcis-13999	122	34	reinforcement	reinforcement	NOUN
fcis-13999	122	35	learning	learning	NOUN
fcis-13999	122	36	and	and	CCONJ
fcis-13999	122	37	imitation	imitation	NOUN
fcis-13999	122	38	learning	learning	NOUN
fcis-13999	122	39	,	,	PUNCT
fcis-13999	122	40	arxiv	arxiv	PROPN
fcis-13999	122	41	preprint	preprint	NOUN
fcis-13999	122	42	arxiv:2209.09991	arxiv:2209.09991	NOUN
fcis-13999	122	43	(	(	PUNCT
fcis-13999	122	44	2022	2022	NUM
fcis-13999	122	45	)	)	PUNCT
fcis-13999	122	46	.	.	PUNCT
fcis-13999	123	1	[	[	X
fcis-13999	123	2	7	7	X
fcis-13999	123	3	]	]	PUNCT
fcis-13999	123	4	j.	j.	PROPN
fcis-13999	123	5	li	li	PROPN
fcis-13999	123	6	,	,	PUNCT
fcis-13999	123	7	p.r	p.r	PROPN
fcis-13999	123	8	.	.	PROPN
fcis-13999	123	9	marpu	marpu	PROPN
fcis-13999	123	10	,	,	PUNCT
fcis-13999	123	11	a.	a.	NOUN
fcis-13999	123	12	plaza	plaza	PROPN
fcis-13999	123	13	,	,	PUNCT
fcis-13999	123	14	j.m	j.m	PROPN
fcis-13999	123	15	.	.	PROPN
fcis-13999	123	16	bioucas	bioucas	NOUN
fcis-13999	123	17	-	-	PUNCT
fcis-13999	123	18	dias	dias	PROPN
fcis-13999	123	19	,	,	PUNCT
fcis-13999	123	20	j.a	j.a	PROPN
fcis-13999	123	21	.	.	PROPN
fcis-13999	123	22	benediktsson	benediktsson	PROPN
fcis-13999	123	23	,	,	PUNCT
fcis-13999	123	24	generalized	generalize	VERB
fcis-13999	123	25	composite	composite	ADJ
fcis-13999	123	26	kernel	kernel	NOUN
fcis-13999	123	27	framework	framework	NOUN
fcis-13999	123	28	for	for	ADP
fcis-13999	123	29	hyperspectral	hyperspectral	ADJ
fcis-13999	123	30	image	image	NOUN
fcis-13999	123	31	classification	classification	NOUN
fcis-13999	123	32	,	,	PUNCT
fcis-13999	123	33	ieee	ieee	NOUN
fcis-13999	123	34	transactions	transaction	NOUN
fcis-13999	123	35	on	on	ADP
fcis-13999	123	36	geoscience	geoscience	NOUN
fcis-13999	123	37	and	and	CCONJ
fcis-13999	123	38	remote	remote	ADJ
fcis-13999	123	39	sensing	sense	VERB
fcis-13999	123	40	51(9	51(9	NOUN
fcis-13999	123	41	)	)	PUNCT
fcis-13999	123	42	(	(	PUNCT
fcis-13999	123	43	2013	2013	NUM
fcis-13999	123	44	)	)	PUNCT
fcis-13999	123	45	4816	4816	NUM
fcis-13999	123	46	-	-	SYM
fcis-13999	123	47	4829	4829	NUM
fcis-13999	123	48	.	.	PUNCT
fcis-13999	124	1	[	[	X
fcis-13999	124	2	8	8	NUM
fcis-13999	124	3	]	]	PUNCT
fcis-13999	124	4	x.	x.	PROPN
fcis-13999	124	5	kang	kang	PROPN
fcis-13999	124	6	,	,	PUNCT
fcis-13999	124	7	s.	s.	PROPN
fcis-13999	124	8	li	li	PROPN
fcis-13999	124	9	,	,	PUNCT
fcis-13999	124	10	j.a	j.a	PROPN
fcis-13999	124	11	.	.	PROPN
fcis-13999	124	12	benediktsson	benediktsson	PROPN
fcis-13999	124	13	,	,	PUNCT
fcis-13999	124	14	spectral	spectral	ADJ
fcis-13999	124	15	–	–	PUNCT
fcis-13999	124	16	spatial	spatial	ADJ
fcis-13999	124	17	hyperspectral	hyperspectral	ADJ
fcis-13999	124	18	image	image	NOUN
fcis-13999	124	19	classification	classification	NOUN
fcis-13999	124	20	with	with	ADP
fcis-13999	124	21	edge	edge	NOUN
fcis-13999	124	22	-	-	PUNCT
fcis-13999	124	23	preserving	preserve	VERB
fcis-13999	124	24	filtering	filtering	NOUN
fcis-13999	124	25	,	,	PUNCT
fcis-13999	124	26	ieee	ieee	NOUN
fcis-13999	124	27	transactions	transaction	NOUN
fcis-13999	124	28	on	on	ADP
fcis-13999	124	29	geoscience	geoscience	NOUN
fcis-13999	124	30	and	and	CCONJ
fcis-13999	124	31	remote	remote	ADJ
fcis-13999	124	32	sensing	sense	VERB
fcis-13999	124	33	52(5	52(5	NUM
fcis-13999	124	34	)	)	PUNCT
fcis-13999	124	35	(	(	PUNCT
fcis-13999	124	36	2013	2013	NUM
fcis-13999	124	37	)	)	PUNCT
fcis-13999	124	38	2666	2666	NUM
fcis-13999	124	39	-	-	PUNCT
fcis-13999	124	40	2677	2677	NUM
fcis-13999	124	41	.	.	PUNCT
fcis-13999	125	1	[	[	X
fcis-13999	125	2	9	9	NUM
fcis-13999	125	3	]	]	PUNCT
fcis-13999	125	4	l.	l.	PROPN
fcis-13999	125	5	fang	fang	PROPN
fcis-13999	125	6	,	,	PUNCT
fcis-13999	125	7	c.	c.	PROPN
fcis-13999	125	8	wang	wang	PROPN
fcis-13999	125	9	,	,	PUNCT
fcis-13999	125	10	s.	s.	PROPN
fcis-13999	125	11	li	li	PROPN
fcis-13999	125	12	,	,	PUNCT
fcis-13999	125	13	j.a	j.a	PROPN
fcis-13999	125	14	.	.	PROPN
fcis-13999	125	15	benediktsson	benediktsson	PROPN
fcis-13999	125	16	,	,	PUNCT
fcis-13999	125	17	hyperspectral	hyperspectral	ADJ
fcis-13999	125	18	image	image	NOUN
fcis-13999	125	19	classification	classification	NOUN
fcis-13999	125	20	via	via	ADP
fcis-13999	125	21	multiple	multiple	ADJ
fcis-13999	125	22	-	-	PUNCT
fcis-13999	125	23	feature	feature	NOUN
fcis-13999	125	24	-	-	PUNCT
fcis-13999	125	25	based	base	VERB
fcis-13999	125	26	adaptive	adaptive	ADJ
fcis-13999	125	27	sparse	sparse	ADJ
fcis-13999	125	28	representation	representation	NOUN
fcis-13999	125	29	,	,	PUNCT
fcis-13999	125	30	ieee	ieee	NOUN
fcis-13999	125	31	transactions	transaction	NOUN
fcis-13999	125	32	on	on	ADP
fcis-13999	125	33	instrumentation	instrumentation	NOUN
fcis-13999	125	34	and	and	CCONJ
fcis-13999	125	35	measurement	measurement	NOUN
fcis-13999	125	36	66(7	66(7	NUM
fcis-13999	125	37	)	)	PUNCT
fcis-13999	125	38	(	(	PUNCT
fcis-13999	125	39	2017	2017	NUM
fcis-13999	125	40	)	)	PUNCT
fcis-13999	125	41	1646	1646	NUM
fcis-13999	125	42	-	-	SYM
fcis-13999	125	43	1657	1657	NUM
fcis-13999	125	44	.	.	PUNCT
fcis-13999	126	1	[	[	X
fcis-13999	126	2	10	10	NUM
fcis-13999	126	3	]	]	X
fcis-13999	126	4	l.	l.	PROPN
fcis-13999	126	5	fang	fang	PROPN
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fcis-13999	126	7	n.	n.	PROPN
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fcis-13999	126	9	,	,	PUNCT
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fcis-13999	126	14	ghamisi	ghamisi	PROPN
fcis-13999	126	15	,	,	PUNCT
fcis-13999	126	16	j.a	j.a	PROPN
fcis-13999	126	17	.	.	PROPN
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fcis-13999	126	19	,	,	PUNCT
fcis-13999	126	20	extinction	extinction	NOUN
fcis-13999	126	21	profiles	profile	NOUN
fcis-13999	126	22	fusion	fusion	NOUN
fcis-13999	126	23	for	for	ADP
fcis-13999	126	24	hyperspectral	hyperspectral	ADJ
fcis-13999	126	25	images	image	NOUN
fcis-13999	126	26	classification	classification	NOUN
fcis-13999	126	27	,	,	PUNCT
fcis-13999	126	28	ieee	ieee	NOUN
fcis-13999	126	29	transactions	transaction	NOUN
fcis-13999	126	30	on	on	ADP
fcis-13999	126	31	geoscience	geoscience	NOUN
fcis-13999	126	32	and	and	CCONJ
fcis-13999	126	33	remote	remote	ADJ
fcis-13999	126	34	sensing	sensing	NOUN
fcis-13999	126	35	56(3	56(3	NOUN
fcis-13999	126	36	)	)	PUNCT
fcis-13999	126	37	(	(	PUNCT
fcis-13999	126	38	2017	2017	NUM
fcis-13999	126	39	)	)	PUNCT
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fcis-13999	126	41	-	-	SYM
fcis-13999	126	42	1815	1815	NUM
fcis-13999	126	43	.	.	PUNCT
fcis-13999	127	1	[	[	X
fcis-13999	127	2	11	11	NUM
fcis-13999	127	3	]	]	X
fcis-13999	127	4	c.	c.	PROPN
fcis-13999	127	5	szegedy	szegedy	PROPN
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fcis-13999	127	7	w.	w.	PROPN
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fcis-13999	127	9	,	,	PUNCT
fcis-13999	127	10	y.	y.	PROPN
fcis-13999	127	11	jia	jia	PROPN
fcis-13999	127	12	,	,	PUNCT
fcis-13999	127	13	p.	p.	PROPN
fcis-13999	127	14	sermanet	sermanet	NOUN
fcis-13999	127	15	,	,	PUNCT
fcis-13999	127	16	s.	s.	PROPN
fcis-13999	127	17	reed	reed	PROPN
fcis-13999	127	18	,	,	PUNCT
fcis-13999	127	19	d.	d.	PROPN
fcis-13999	127	20	anguelov	anguelov	PROPN
fcis-13999	127	21	,	,	PUNCT
fcis-13999	127	22	d.	d.	PROPN
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fcis-13999	127	25	v.	v.	PROPN
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fcis-13999	127	29	rabinovich	rabinovich	NOUN
fcis-13999	127	30	,	,	PUNCT
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fcis-13999	127	34	110	110	NUM
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fcis-13999	127	36	,	,	PUNCT
fcis-13999	127	37	proceedings	proceeding	NOUN
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fcis-13999	127	39	the	the	DET
fcis-13999	127	40	ieee	ieee	NOUN
fcis-13999	127	41	conference	conference	NOUN
fcis-13999	127	42	on	on	ADP
fcis-13999	127	43	computer	computer	NOUN
fcis-13999	127	44	vision	vision	NOUN
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fcis-13999	127	48	,	,	PUNCT
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fcis-13999	127	50	,	,	PUNCT
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fcis-13999	128	2	-	-	SYM
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fcis-13999	128	4	.	.	PUNCT
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fcis-13999	129	2	12	12	NUM
fcis-13999	129	3	]	]	PUNCT
fcis-13999	129	4	j.	j.	PROPN
fcis-13999	129	5	wu	wu	PROPN
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fcis-13999	129	8	tao	tao	PROPN
fcis-13999	129	9	,	,	PUNCT
fcis-13999	129	10	p.	p.	PROPN
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fcis-13999	129	12	,	,	PUNCT
fcis-13999	129	13	n.f	n.f	PROPN
fcis-13999	129	14	.	.	PROPN
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fcis-13999	129	17	n.	n.	PROPN
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fcis-13999	129	22	management	management	NOUN
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fcis-13999	129	25	reinforcement	reinforcement	NOUN
fcis-13999	129	26	learning	learning	NOUN
fcis-13999	129	27	and	and	CCONJ
fcis-13999	129	28	crop	crop	NOUN
fcis-13999	129	29	simulations	simulation	NOUN
fcis-13999	129	30	,	,	PUNCT
fcis-13999	129	31	proceedings	proceeding	NOUN
fcis-13999	129	32	of	of	ADP
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fcis-13999	129	34	ieee	ieee	NOUN
fcis-13999	129	35	/	/	SYM
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fcis-13999	129	39	computer	computer	NOUN
fcis-13999	129	40	vision	vision	NOUN
fcis-13999	129	41	and	and	CCONJ
fcis-13999	129	42	pattern	pattern	NOUN
fcis-13999	129	43	recognition	recognition	NOUN
fcis-13999	129	44	,	,	PUNCT
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fcis-13999	129	46	,	,	PUNCT
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fcis-13999	129	48	.	.	PUNCT
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fcis-13999	130	2	-	-	SYM
fcis-13999	130	3	1720	1720	NUM
fcis-13999	130	4	.	.	PUNCT
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fcis-13999	131	3	]	]	PUNCT
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fcis-13999	131	9	,	,	PUNCT
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fcis-13999	131	13	d.	d.	PROPN
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fcis-13999	131	16	n.	n.	PROPN
fcis-13999	131	17	hovakimyan	hovakimyan	PROPN
fcis-13999	131	18	,	,	PUNCT
fcis-13999	131	19	j.	j.	PROPN
fcis-13999	131	20	hobbs	hobbs	PROPN
fcis-13999	131	21	,	,	PUNCT
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fcis-13999	131	24	-	-	PUNCT
fcis-13999	131	25	vision	vision	NOUN
fcis-13999	131	26	:	:	PUNCT
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fcis-13999	131	28	extension	extension	NOUN
fcis-13999	131	29	of	of	ADP
fcis-13999	131	30	a	a	DET
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fcis-13999	131	32	aerial	aerial	ADJ
fcis-13999	131	33	image	image	NOUN
fcis-13999	131	34	dataset	dataset	VERB
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fcis-13999	131	39	,	,	PUNCT
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fcis-13999	131	41	preprint	preprint	NOUN
fcis-13999	131	42	arxiv:2303.02460	arxiv:2303.02460	PROPN
fcis-13999	131	43	(	(	PUNCT
fcis-13999	131	44	2023	2023	NUM
fcis-13999	131	45	)	)	PUNCT
fcis-13999	131	46	.	.	PUNCT
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fcis-13999	132	2	14	14	NUM
fcis-13999	132	3	]	]	PUNCT
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fcis-13999	132	8	and	and	CCONJ
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fcis-13999	132	11	financial	financial	ADJ
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fcis-13999	132	23	2nd	2nd	ADJ
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fcis-13999	132	26	on	on	ADP
fcis-13999	132	27	bigdata	bigdata	PROPN
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fcis-13999	132	31	management	management	NOUN
fcis-13999	132	32	,	,	PUNCT
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fcis-13999	132	35	,	,	PUNCT
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fcis-13999	132	38	,	,	PUNCT
fcis-13999	132	39	2023	2023	NUM
fcis-13999	132	40	,	,	PUNCT
fcis-13999	132	41	hangzhou	hangzhou	PROPN
fcis-13999	132	42	,	,	PUNCT
fcis-13999	132	43	china	china	PROPN
fcis-13999	132	44	,	,	PUNCT
fcis-13999	132	45	2023	2023	NUM
fcis-13999	132	46	.	.	PUNCT
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fcis-13999	133	2	15	15	NUM
fcis-13999	133	3	]	]	PUNCT
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fcis-13999	133	5	bordes	bordes	PROPN
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fcis-13999	133	8	glorot	glorot	PROPN
fcis-13999	133	9	,	,	PUNCT
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fcis-13999	133	24	open	open	ADJ
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fcis-13999	133	28	parsing	parsing	NOUN
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fcis-13999	133	31	intelligence	intelligence	NOUN
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fcis-13999	133	34	,	,	PUNCT
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fcis-13999	133	36	,	,	PUNCT
fcis-13999	133	37	2012	2012	NUM
fcis-13999	133	38	,	,	PUNCT
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fcis-13999	133	40	.	.	PUNCT
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fcis-13999	134	2	-	-	SYM
fcis-13999	134	3	135	135	NUM
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fcis-13999	135	3	]	]	X
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fcis-13999	135	10	x.	x.	PROPN
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fcis-13999	135	12	,	,	PUNCT
fcis-13999	135	13	g.	g.	PROPN
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fcis-13999	135	16	y.	y.	PROPN
fcis-13999	135	17	gu	gu	PROPN
fcis-13999	135	18	,	,	PUNCT
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fcis-13999	135	23	hyperspectral	hyperspectral	ADJ
fcis-13999	135	24	data	datum	NOUN
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fcis-13999	135	42	)	)	PUNCT
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fcis-13999	145	47	)	)	PUNCT
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fcis-13999	146	13	contextual	contextual	ADJ
fcis-13999	146	14	cnn	cnn	NOUN
fcis-13999	146	15	for	for	ADP
fcis-13999	146	16	hyperspectral	hyperspectral	ADJ
fcis-13999	146	17	image	image	NOUN
fcis-13999	146	18	classification	classification	NOUN
fcis-13999	146	19	,	,	PUNCT
fcis-13999	146	20	ieee	ieee	NOUN
fcis-13999	146	21	transactions	transaction	NOUN
fcis-13999	146	22	on	on	ADP
fcis-13999	146	23	image	image	NOUN
fcis-13999	146	24	processing	processing	NOUN
fcis-13999	146	25	26(10	26(10	NUM
fcis-13999	146	26	)	)	PUNCT
fcis-13999	146	27	(	(	PUNCT
fcis-13999	146	28	2017	2017	NUM
fcis-13999	146	29	)	)	PUNCT
fcis-13999	146	30	4843	4843	NUM
fcis-13999	146	31	-	-	SYM
fcis-13999	146	32	4855	4855	NUM
fcis-13999	146	33	.	.	PUNCT
fcis-13999	147	1	[	[	X
fcis-13999	147	2	28	28	NUM
fcis-13999	147	3	]	]	X
fcis-13999	147	4	j.	j.	PROPN
fcis-13999	147	5	wu	wu	PROPN
fcis-13999	147	6	,	,	PUNCT
fcis-13999	147	7	j.	j.	PROPN
fcis-13999	147	8	hobbs	hobbs	PROPN
fcis-13999	147	9	,	,	PUNCT
fcis-13999	147	10	n.	n.	PROPN
fcis-13999	147	11	hovakimyan	hovakimyan	PROPN
fcis-13999	147	12	,	,	PUNCT
fcis-13999	147	13	hallucination	hallucination	NOUN
fcis-13999	147	14	improves	improve	VERB
fcis-13999	147	15	the	the	DET
fcis-13999	147	16	performance	performance	NOUN
fcis-13999	147	17	of	of	ADP
fcis-13999	147	18	unsupervised	unsupervised	ADJ
fcis-13999	147	19	visual	visual	ADJ
fcis-13999	147	20	representation	representation	NOUN
fcis-13999	147	21	learning	learning	NOUN
fcis-13999	147	22	,	,	PUNCT
fcis-13999	147	23	proceedings	proceeding	NOUN
fcis-13999	147	24	of	of	ADP
fcis-13999	147	25	the	the	DET
fcis-13999	147	26	ieee	ieee	NOUN
fcis-13999	147	27	/	/	SYM
fcis-13999	147	28	cvf	cvf	NOUN
fcis-13999	147	29	international	international	ADJ
fcis-13999	147	30	conference	conference	NOUN
fcis-13999	147	31	on	on	ADP
fcis-13999	147	32	computer	computer	NOUN
fcis-13999	147	33	vision	vision	NOUN
fcis-13999	147	34	,	,	PUNCT
fcis-13999	147	35	2023	2023	NUM
fcis-13999	147	36	,	,	PUNCT
fcis-13999	147	37	pp	pp	ADJ
fcis-13999	147	38	.	.	PUNCT
fcis-13999	148	1	16132	16132	NUM
fcis-13999	148	2	-	-	SYM
fcis-13999	148	3	16143	16143	NUM
fcis-13999	148	4	.	.	PUNCT
fcis-13999	149	1	[	[	X
fcis-13999	149	2	29	29	NUM
fcis-13999	149	3	]	]	PUNCT
fcis-13999	149	4	x.	x.	PROPN
fcis-13999	149	5	zhang	zhang	PROPN
fcis-13999	149	6	,	,	PUNCT
fcis-13999	149	7	y.	y.	PROPN
fcis-13999	149	8	liang	liang	PROPN
fcis-13999	149	9	,	,	PUNCT
fcis-13999	149	10	c.	c.	PROPN
fcis-13999	149	11	li	li	PROPN
fcis-13999	149	12	,	,	PUNCT
fcis-13999	149	13	n.	n.	PROPN
fcis-13999	149	14	huyan	huyan	PROPN
fcis-13999	149	15	,	,	PUNCT
fcis-13999	149	16	l.	l.	PROPN
fcis-13999	149	17	jiao	jiao	PROPN
fcis-13999	149	18	,	,	PUNCT
fcis-13999	149	19	h.	h.	PROPN
fcis-13999	149	20	zhou	zhou	PROPN
fcis-13999	149	21	,	,	PUNCT
fcis-13999	149	22	recursive	recursive	ADJ
fcis-13999	149	23	autoencoders	autoencoder	NOUN
fcis-13999	149	24	-	-	PUNCT
fcis-13999	149	25	based	base	VERB
fcis-13999	149	26	unsupervised	unsupervised	ADJ
fcis-13999	149	27	feature	feature	NOUN
fcis-13999	149	28	learning	learn	VERB
fcis-13999	149	29	for	for	ADP
fcis-13999	149	30	hyperspectral	hyperspectral	ADJ
fcis-13999	149	31	image	image	NOUN
fcis-13999	149	32	classification	classification	NOUN
fcis-13999	149	33	,	,	PUNCT
fcis-13999	149	34	ieee	ieee	NOUN
fcis-13999	149	35	geoscience	geoscience	NOUN
fcis-13999	149	36	and	and	CCONJ
fcis-13999	149	37	remote	remote	ADJ
fcis-13999	149	38	sensing	sense	VERB
fcis-13999	149	39	letters	letter	NOUN
fcis-13999	149	40	14(11	14(11	NUM
fcis-13999	149	41	)	)	PUNCT
fcis-13999	149	42	(	(	PUNCT
fcis-13999	149	43	2017	2017	NUM
fcis-13999	149	44	)	)	PUNCT
fcis-13999	149	45	1928	1928	NUM
fcis-13999	149	46	-	-	SYM
fcis-13999	149	47	1932	1932	NUM
fcis-13999	149	48	.	.	PUNCT
fcis-13999	150	1	[	[	X
fcis-13999	150	2	30	30	NUM
fcis-13999	150	3	]	]	X
fcis-13999	150	4	y.	y.	PROPN
fcis-13999	150	5	tang	tang	PROPN
fcis-13999	150	6	,	,	PUNCT
fcis-13999	150	7	k.	k.	PROPN
fcis-13999	150	8	yoshihiro	yoshihiro	PROPN
fcis-13999	150	9	,	,	PUNCT
fcis-13999	150	10	a.	a.	NOUN
fcis-13999	150	11	tohru	tohru	PROPN
fcis-13999	150	12	,	,	PUNCT
fcis-13999	150	13	b.	b.	PROPN
fcis-13999	150	14	danushka	danushka	PROPN
fcis-13999	150	15	,	,	PUNCT
fcis-13999	150	16	bs-1	bs-1	NOUN
fcis-13999	150	17	-	-	PUNCT
fcis-13999	150	18	12	12	NUM
fcis-13999	150	19	analyzing	analyzing	NOUN
fcis-13999	150	20	patterns	pattern	NOUN
fcis-13999	150	21	from	from	ADP
fcis-13999	150	22	twitter	twitter	NOUN
fcis-13999	150	23	happiness	happiness	NOUN
fcis-13999	150	24	referring	refer	VERB
fcis-13999	150	25	stock	stock	NOUN
fcis-13999	150	26	market	market	NOUN
fcis-13999	150	27	and	and	CCONJ
fcis-13999	150	28	american	american	ADJ
fcis-13999	150	29	unemployment	unemployment	NOUN
fcis-13999	150	30	rate	rate	NOUN
fcis-13999	150	31	announcement	announcement	NOUN
fcis-13999	150	32	,	,	PUNCT
fcis-13999	150	33	proceedings	proceeding	NOUN
fcis-13999	150	34	of	of	ADP
fcis-13999	150	35	the	the	DET
fcis-13999	150	36	electronic	electronic	ADJ
fcis-13999	150	37	information	information	NOUN
fcis-13999	150	38	and	and	CCONJ
fcis-13999	150	39	communication	communication	NOUN
fcis-13999	150	40	society	society	NOUN
fcis-13999	150	41	comprehensive	comprehensive	ADJ
fcis-13999	150	42	system	system	NOUN
fcis-13999	150	43	conference	conference	NOUN
fcis-13999	150	44	2013(2	2013(2	NUM
fcis-13999	150	45	)	)	PUNCT
fcis-13999	150	46	(	(	PUNCT
fcis-13999	150	47	2013	2013	NUM
fcis-13999	150	48	)	)	PUNCT
fcis-13999	150	49	"	"	PUNCT
fcis-13999	150	50	s-23"-	s-23"-	ADJ
fcis-13999	150	51	"	"	PUNCT
fcis-13999	150	52	s-24	s-24	PROPN
fcis-13999	150	53	"	"	PUNCT
fcis-13999	150	54	.	.	PUNCT