id	sid	tid	token	lemma	pos
aiti-416	1	1	advances	advance	NOUN
aiti-416	1	2	in	in	ADP
aiti-416	1	3	technology	technology	NOUN
aiti-416	1	4	innovation	innovation	NOUN
aiti-416	1	5	,	,	PUNCT
aiti-416	1	6	vol	vol	NOUN
aiti-416	1	7	.	.	PROPN
aiti-416	2	1	2	2	NUM
aiti-416	2	2	,	,	PUNCT
aiti-416	2	3	no	no	INTJ
aiti-416	2	4	.	.	NOUN
aiti-416	2	5	3	3	NUM
aiti-416	2	6	,	,	PUNCT
aiti-416	2	7	2016	2016	NUM
aiti-416	2	8	,	,	PUNCT
aiti-416	2	9	pp	pp	ADJ
aiti-416	2	10	.	.	PUNCT
aiti-416	3	1	68	68	NUM
aiti-416	3	2	72	72	NUM
aiti-416	3	3	68	68	NUM
aiti-416	3	4	spatial	spatial	ADJ
aiti-416	3	5	and	and	CCONJ
aiti-416	3	6	spectral	spectral	ADJ
aiti-416	3	7	nonparametric	nonparametric	NOUN
aiti-416	3	8	linear	linear	PROPN
aiti-416	3	9	feature	feature	NOUN
aiti-416	3	10	extraction	extraction	NOUN
aiti-416	3	11	method	method	NOUN
aiti-416	3	12	for	for	ADP
aiti-416	3	13	hyperspectral	hyperspectral	ADJ
aiti-416	3	14	image	image	NOUN
aiti-416	3	15	classification	classification	NOUN
aiti-416	3	16	jinn	jinn	NOUN
aiti-416	3	17	-	-	PUNCT
aiti-416	3	18	min	min	PROPN
aiti-416	3	19	yang	yang	PROPN
aiti-416	3	20	*	*	PROPN
aiti-416	3	21	,	,	PUNCT
aiti-416	3	22	shih	shih	PROPN
aiti-416	3	23	-	-	PUNCT
aiti-416	3	24	hsuan	hsuan	PROPN
aiti-416	3	25	wei	wei	PROPN
aiti-416	3	26	department	department	PROPN
aiti-416	3	27	of	of	ADP
aiti-416	3	28	mathematics	mathematics	PROPN
aiti-416	3	29	education	education	NOUN
aiti-416	3	30	,	,	PUNCT
aiti-416	3	31	national	national	PROPN
aiti-416	3	32	taichung	taichung	PROPN
aiti-416	3	33	university	university	PROPN
aiti-416	3	34	of	of	ADP
aiti-416	3	35	education	education	PROPN
aiti-416	3	36	,	,	PUNCT
aiti-416	3	37	taichung	taichung	PROPN
aiti-416	3	38	,	,	PUNCT
aiti-416	3	39	taiwan	taiwan	PROPN
aiti-416	3	40	.	.	PUNCT
aiti-416	3	41	received	receive	VERB
aiti-416	3	42	02	02	NUM
aiti-416	3	43	may	may	PROPN
aiti-416	3	44	2016	2016	NUM
aiti-416	3	45	;	;	PUNCT
aiti-416	3	46	received	receive	VERB
aiti-416	3	47	in	in	ADP
aiti-416	3	48	revised	revise	VERB
aiti-416	3	49	form	form	NOUN
aiti-416	3	50	21	21	NUM
aiti-416	3	51	june	june	PROPN
aiti-416	3	52	2016	2016	NUM
aiti-416	3	53	;	;	PUNCT
aiti-416	3	54	accepted	accept	VERB
aiti-416	3	55	21	21	NUM
aiti-416	3	56	june	june	PROPN
aiti-416	3	57	2016	2016	NUM
aiti-416	3	58	abstract	abstract	ADJ
aiti-416	3	59	feature	feature	NOUN
aiti-416	3	60	extraction	extraction	NOUN
aiti-416	3	61	(	(	PUNCT
aiti-416	3	62	fe	fe	NOUN
aiti-416	3	63	)	)	PUNCT
aiti-416	3	64	or	or	CCONJ
aiti-416	3	65	dimensionality	dimensionality	NOUN
aiti-416	3	66	reduction	reduction	NOUN
aiti-416	3	67	(	(	PUNCT
aiti-416	3	68	dr	dr	PROPN
aiti-416	3	69	)	)	PUNCT
aiti-416	3	70	plays	play	VERB
aiti-416	3	71	quite	quite	DET
aiti-416	3	72	an	an	DET
aiti-416	3	73	important	important	ADJ
aiti-416	3	74	role	role	NOUN
aiti-416	3	75	in	in	ADP
aiti-416	3	76	the	the	DET
aiti-416	3	77	field	field	NOUN
aiti-416	3	78	of	of	ADP
aiti-416	3	79	pattern	pattern	NOUN
aiti-416	3	80	recognition	recognition	NOUN
aiti-416	3	81	.	.	PUNCT
aiti-416	4	1	feature	feature	NOUN
aiti-416	4	2	extraction	extraction	NOUN
aiti-416	4	3	aims	aim	VERB
aiti-416	4	4	to	to	PART
aiti-416	4	5	reduce	reduce	VERB
aiti-416	4	6	the	the	DET
aiti-416	4	7	d	d	PROPN
aiti-416	4	8	imens	imen	NOUN
aiti-416	4	9	ionality	ionality	NOUN
aiti-416	4	10	of	of	ADP
aiti-416	4	11	the	the	DET
aiti-416	4	12	high	high	ADJ
aiti-416	4	13	-	-	PUNCT
aiti-416	4	14	d	d	NOUN
aiti-416	4	15	imens	imen	NOUN
aiti-416	4	16	ional	ional	PROPN
aiti-416	4	17	dataset	dataset	NOUN
aiti-416	4	18	to	to	PART
aiti-416	4	19	enhance	enhance	VERB
aiti-416	4	20	the	the	DET
aiti-416	4	21	classification	classification	NOUN
aiti-416	4	22	accuracy	accuracy	NOUN
aiti-416	4	23	and	and	CCONJ
aiti-416	4	24	foster	foster	VERB
aiti-416	4	25	the	the	DET
aiti-416	4	26	classification	classification	NOUN
aiti-416	4	27	speed	speed	NOUN
aiti-416	4	28	,	,	PUNCT
aiti-416	4	29	particularly	particularly	ADV
aiti-416	4	30	when	when	SCONJ
aiti-416	4	31	the	the	DET
aiti-416	4	32	training	training	NOUN
aiti-416	4	33	sample	sample	NOUN
aiti-416	4	34	size	size	NOUN
aiti-416	4	35	is	be	AUX
aiti-416	4	36	small	small	ADJ
aiti-416	4	37	,	,	PUNCT
aiti-416	4	38	namely	namely	ADV
aiti-416	4	39	the	the	DET
aiti-416	4	40	small	small	ADJ
aiti-416	4	41	sample	sample	NOUN
aiti-416	4	42	size	size	NOUN
aiti-416	4	43	(	(	PUNCT
aiti-416	4	44	sss	sss	NOUN
aiti-416	4	45	)	)	PUNCT
aiti-416	4	46	problem	problem	NOUN
aiti-416	4	47	.	.	PUNCT
aiti-416	5	1	remotely	remotely	ADV
aiti-416	5	2	sensed	sense	VERB
aiti-416	5	3	hyperspectral	hyperspectral	ADJ
aiti-416	5	4	images	image	NOUN
aiti-416	5	5	(	(	PUNCT
aiti-416	5	6	hsis	hsis	NOUN
aiti-416	5	7	)	)	PUNCT
aiti-416	5	8	are	be	AUX
aiti-416	5	9	often	often	ADV
aiti-416	5	10	with	with	ADP
aiti-416	5	11	hundreds	hundred	NOUN
aiti-416	5	12	of	of	ADP
aiti-416	5	13	measured	measured	ADJ
aiti-416	5	14	features	feature	NOUN
aiti-416	5	15	(	(	PUNCT
aiti-416	5	16	bands	band	NOUN
aiti-416	5	17	)	)	PUNCT
aiti-416	5	18	which	which	PRON
aiti-416	5	19	potentially	potentially	ADV
aiti-416	5	20	provides	provide	VERB
aiti-416	5	21	more	more	ADV
aiti-416	5	22	accurate	accurate	ADJ
aiti-416	5	23	and	and	CCONJ
aiti-416	5	24	detailed	detailed	ADJ
aiti-416	5	25	information	information	NOUN
aiti-416	5	26	for	for	ADP
aiti-416	5	27	classification	classification	NOUN
aiti-416	5	28	,	,	PUNCT
aiti-416	5	29	but	but	CCONJ
aiti-416	5	30	it	it	PRON
aiti-416	5	31	generally	generally	ADV
aiti-416	5	32	needs	need	VERB
aiti-416	5	33	more	more	ADJ
aiti-416	5	34	samples	sample	NOUN
aiti-416	5	35	to	to	PART
aiti-416	5	36	estimate	estimate	VERB
aiti-416	5	37	parameters	parameter	NOUN
aiti-416	5	38	to	to	PART
aiti-416	5	39	achieve	achieve	VERB
aiti-416	5	40	a	a	DET
aiti-416	5	41	satisfactory	satisfactory	ADJ
aiti-416	5	42	result	result	NOUN
aiti-416	5	43	.	.	PUNCT
aiti-416	6	1	the	the	DET
aiti-416	6	2	cost	cost	NOUN
aiti-416	6	3	of	of	ADP
aiti-416	6	4	collect	collect	VERB
aiti-416	6	5	ing	ing	ADJ
aiti-416	6	6	ground	ground	NOUN
aiti-416	6	7	-	-	PUNCT
aiti-416	6	8	t	t	NOUN
aiti-416	6	9	ruth	ruth	NOUN
aiti-416	6	10	o	o	NOUN
aiti-416	6	11	f	f	X
aiti-416	6	12	remotely	remotely	ADV
aiti-416	6	13	sensed	sense	VERB
aiti-416	6	14	hyperspectral	hyperspectral	ADJ
aiti-416	6	15	scene	scene	NOUN
aiti-416	6	16	can	can	AUX
aiti-416	6	17	be	be	AUX
aiti-416	6	18	considerably	considerably	ADV
aiti-416	6	19	difficult	difficult	ADJ
aiti-416	6	20	and	and	CCONJ
aiti-416	6	21	expensive	expensive	ADJ
aiti-416	6	22	.	.	PUNCT
aiti-416	7	1	therefore	therefore	ADV
aiti-416	7	2	,	,	PUNCT
aiti-416	7	3	fe	fe	X
aiti-416	7	4	techniques	technique	NOUN
aiti-416	7	5	have	have	AUX
aiti-416	7	6	been	be	AUX
aiti-416	7	7	an	an	DET
aiti-416	7	8	important	important	ADJ
aiti-416	7	9	part	part	NOUN
aiti-416	7	10	for	for	ADP
aiti-416	7	11	hyperspectral	hyperspectral	ADJ
aiti-416	7	12	image	image	NOUN
aiti-416	7	13	classification	classification	NOUN
aiti-416	7	14	.	.	PUNCT
aiti-416	8	1	unlike	unlike	ADP
aiti-416	8	2	lots	lot	NOUN
aiti-416	8	3	of	of	ADP
aiti-416	8	4	feature	feature	NOUN
aiti-416	8	5	extraction	extraction	NOUN
aiti-416	8	6	methods	method	NOUN
aiti-416	8	7	are	be	AUX
aiti-416	8	8	based	base	VERB
aiti-416	8	9	only	only	ADV
aiti-416	8	10	on	on	ADP
aiti-416	8	11	the	the	DET
aiti-416	8	12	spectral	spectral	ADJ
aiti-416	8	13	(	(	PUNCT
aiti-416	8	14	band	band	NOUN
aiti-416	8	15	)	)	PUNCT
aiti-416	8	16	information	information	NOUN
aiti-416	8	17	of	of	ADP
aiti-416	8	18	the	the	DET
aiti-416	8	19	training	training	NOUN
aiti-416	8	20	samples	sample	NOUN
aiti-416	8	21	,	,	PUNCT
aiti-416	8	22	some	some	DET
aiti-416	8	23	feature	feature	NOUN
aiti-416	8	24	extraction	extraction	NOUN
aiti-416	8	25	methods	method	NOUN
aiti-416	8	26	integrating	integrate	VERB
aiti-416	8	27	both	both	CCONJ
aiti-416	8	28	spatial	spatial	ADJ
aiti-416	8	29	and	and	CCONJ
aiti-416	8	30	spectral	spectral	ADJ
aiti-416	8	31	information	information	NOUN
aiti-416	8	32	of	of	ADP
aiti-416	8	33	training	training	NOUN
aiti-416	8	34	samples	sample	NOUN
aiti-416	8	35	show	show	VERB
aiti-416	8	36	more	more	ADV
aiti-416	8	37	effective	effective	ADJ
aiti-416	8	38	results	result	NOUN
aiti-416	8	39	in	in	ADP
aiti-416	8	40	recent	recent	ADJ
aiti-416	8	41	years	year	NOUN
aiti-416	8	42	.	.	PUNCT
aiti-416	9	1	spatial	spatial	ADJ
aiti-416	9	2	contexture	contexture	NOUN
aiti-416	9	3	information	information	NOUN
aiti-416	9	4	has	have	AUX
aiti-416	9	5	been	be	AUX
aiti-416	9	6	proven	prove	VERB
aiti-416	9	7	to	to	PART
aiti-416	9	8	be	be	AUX
aiti-416	9	9	useful	useful	ADJ
aiti-416	9	10	to	to	PART
aiti-416	9	11	improve	improve	VERB
aiti-416	9	12	the	the	DET
aiti-416	9	13	hsi	hsi	PROPN
aiti-416	9	14	data	datum	NOUN
aiti-416	9	15	representation	representation	NOUN
aiti-416	9	16	and	and	CCONJ
aiti-416	9	17	to	to	PART
aiti-416	9	18	increase	increase	VERB
aiti-416	9	19	classification	classification	NOUN
aiti-416	9	20	accuracy	accuracy	NOUN
aiti-416	9	21	.	.	PUNCT
aiti-416	10	1	in	in	ADP
aiti-416	10	2	this	this	DET
aiti-416	10	3	paper	paper	NOUN
aiti-416	10	4	,	,	PUNCT
aiti-416	10	5	we	we	PRON
aiti-416	10	6	propose	propose	VERB
aiti-416	10	7	a	a	DET
aiti-416	10	8	spatial	spatial	ADJ
aiti-416	10	9	and	and	CCONJ
aiti-416	10	10	spectral	spectral	ADJ
aiti-416	10	11	nonparametric	nonparametric	NOUN
aiti-416	10	12	linear	linear	PROPN
aiti-416	10	13	feature	feature	NOUN
aiti-416	10	14	extraction	extraction	NOUN
aiti-416	10	15	method	method	NOUN
aiti-416	10	16	for	for	ADP
aiti-416	10	17	hyperspectral	hyperspectral	ADJ
aiti-416	10	18	image	image	NOUN
aiti-416	10	19	classification	classification	NOUN
aiti-416	10	20	.	.	PUNCT
aiti-416	11	1	the	the	DET
aiti-416	11	2	spatial	spatial	ADJ
aiti-416	11	3	and	and	CCONJ
aiti-416	11	4	spectral	spectral	ADJ
aiti-416	11	5	information	information	NOUN
aiti-416	11	6	is	be	AUX
aiti-416	11	7	extracted	extract	VERB
aiti-416	11	8	for	for	ADP
aiti-416	11	9	each	each	DET
aiti-416	11	10	training	training	NOUN
aiti-416	11	11	sample	sample	NOUN
aiti-416	11	12	and	and	CCONJ
aiti-416	11	13	used	use	VERB
aiti-416	11	14	to	to	PART
aiti-416	11	15	design	design	VERB
aiti-416	11	16	the	the	DET
aiti-416	11	17	within	within	NOUN
aiti-416	11	18	-	-	PUNCT
aiti-416	11	19	class	class	NOUN
aiti-416	11	20	and	and	CCONJ
aiti-416	11	21	between	between	ADP
aiti-416	11	22	-	-	PUNCT
aiti-416	11	23	class	class	NOUN
aiti-416	11	24	scatter	scatter	NOUN
aiti-416	11	25	matrices	matrix	NOUN
aiti-416	11	26	for	for	ADP
aiti-416	11	27	constructing	construct	VERB
aiti-416	11	28	the	the	DET
aiti-416	11	29	feature	feature	NOUN
aiti-416	11	30	extraction	extraction	NOUN
aiti-416	11	31	model	model	NOUN
aiti-416	11	32	.	.	PUNCT
aiti-416	12	1	the	the	DET
aiti-416	12	2	experimental	experimental	ADJ
aiti-416	12	3	results	result	NOUN
aiti-416	12	4	on	on	ADP
aiti-416	12	5	one	one	NUM
aiti-416	12	6	benchmark	benchmark	ADJ
aiti-416	12	7	hyperspectral	hyperspectral	ADJ
aiti-416	12	8	image	image	NOUN
aiti-416	12	9	demonstrate	demonstrate	VERB
aiti-416	12	10	that	that	SCONJ
aiti-416	12	11	the	the	DET
aiti-416	12	12	proposed	propose	VERB
aiti-416	12	13	method	method	NOUN
aiti-416	12	14	obtains	obtain	VERB
aiti-416	12	15	stable	stable	ADJ
aiti-416	12	16	and	and	CCONJ
aiti-416	12	17	satisfactory	satisfactory	ADJ
aiti-416	12	18	results	result	NOUN
aiti-416	12	19	than	than	ADP
aiti-416	12	20	some	some	DET
aiti-416	12	21	existing	exist	VERB
aiti-416	12	22	spectral	spectral	ADJ
aiti-416	12	23	-	-	PUNCT
aiti-416	12	24	based	base	VERB
aiti-416	12	25	feature	feature	NOUN
aiti-416	12	26	extraction	extraction	NOUN
aiti-416	12	27	.	.	PUNCT
aiti-416	13	1	keywords	keyword	NOUN
aiti-416	13	2	:	:	PUNCT
aiti-416	13	3	feature	feature	NOUN
aiti-416	13	4	extraction	extraction	NOUN
aiti-416	13	5	,	,	PUNCT
aiti-416	13	6	hyperspectral	hyperspectral	ADJ
aiti-416	13	7	image	image	NOUN
aiti-416	13	8	,	,	PUNCT
aiti-416	13	9	dimensionality	dimensionality	NOUN
aiti-416	13	10	reduction	reduction	NOUN
aiti-416	13	11	,	,	PUNCT
aiti-416	13	12	classification	classification	NOUN
aiti-416	13	13	,	,	PUNCT
aiti-416	13	14	small	small	ADJ
aiti-416	13	15	sample	sample	NOUN
aiti-416	13	16	size	size	NOUN
aiti-416	13	17	problem	problem	NOUN
aiti-416	13	18	1	1	NUM
aiti-416	13	19	.	.	PUNCT
aiti-416	13	20	introduction	introduction	NOUN
aiti-416	13	21	remotely	remotely	ADV
aiti-416	13	22	sensed	sense	VERB
aiti-416	13	23	hyperspectral	hyperspectral	ADJ
aiti-416	13	24	images	image	NOUN
aiti-416	13	25	(	(	PUNCT
aiti-416	13	26	hsis	hsis	NOUN
aiti-416	13	27	)	)	PUNCT
aiti-416	13	28	are	be	AUX
aiti-416	13	29	often	often	ADV
aiti-416	13	30	with	with	ADP
aiti-416	13	31	hundreds	hundred	NOUN
aiti-416	13	32	of	of	ADP
aiti-416	13	33	measured	measured	ADJ
aiti-416	13	34	features	feature	NOUN
aiti-416	13	35	(	(	PUNCT
aiti-416	13	36	spectral	spectral	ADJ
aiti-416	13	37	bands	band	NOUN
aiti-416	13	38	)	)	PUNCT
aiti-416	13	39	potentially	potentially	ADV
aiti-416	13	40	provides	provide	VERB
aiti-416	13	41	more	more	ADV
aiti-416	13	42	accurate	accurate	ADJ
aiti-416	13	43	and	and	CCONJ
aiti-416	13	44	detailed	detailed	ADJ
aiti-416	13	45	informat	informat	ADJ
aiti-416	13	46	ion	ion	NOUN
aiti-416	13	47	for	for	ADP
aiti-416	13	48	classification	classification	NOUN
aiti-416	13	49	and	and	CCONJ
aiti-416	13	50	widely	widely	ADV
aiti-416	13	51	used	use	VERB
aiti-416	13	52	in	in	ADP
aiti-416	13	53	environmental	environmental	ADJ
aiti-416	13	54	mapping	mapping	NOUN
aiti-416	13	55	,	,	PUNCT
aiti-416	13	56	geological	geological	ADJ
aiti-416	13	57	research	research	NOUN
aiti-416	13	58	,	,	PUNCT
aiti-416	13	59	and	and	CCONJ
aiti-416	13	60	mineral	mineral	NOUN
aiti-416	13	61	identification	identification	NOUN
aiti-416	13	62	in	in	ADP
aiti-416	13	63	recent	recent	ADJ
aiti-416	13	64	years	year	NOUN
aiti-416	13	65	.	.	PUNCT
aiti-416	14	1	the	the	DET
aiti-416	14	2	cost	cost	NOUN
aiti-416	14	3	of	of	ADP
aiti-416	14	4	collecting	collect	VERB
aiti-416	14	5	ground	ground	NOUN
aiti-416	14	6	-	-	PUNCT
aiti-416	14	7	truth	truth	NOUN
aiti-416	14	8	of	of	ADP
aiti-416	14	9	remotely	remotely	ADV
aiti-416	14	10	sensed	sense	VERB
aiti-416	14	11	hyperspectral	hyperspectral	ADJ
aiti-416	14	12	image	image	NOUN
aiti-416	14	13	can	can	AUX
aiti-416	14	14	be	be	AUX
aiti-416	14	15	considerably	considerably	ADV
aiti-416	14	16	d	d	X
aiti-416	14	17	if	if	SCONJ
aiti-416	14	18	f	f	PROPN
aiti-416	14	19	icu	icu	PROPN
aiti-416	14	20	lt	lt	PROPN
aiti-416	14	21	and	and	CCONJ
aiti-416	14	22	e	e	PROPN
aiti-416	14	23	xpens	xpens	PROPN
aiti-416	15	1	i	i	PRON
aiti-416	15	2	ve	ve	VERB
aiti-416	15	3	.	.	PUNCT
aiti-416	16	1	ther	ther	PROPN
aiti-416	16	2	efo	efo	VERB
aiti-416	16	3	re	re	PROPN
aiti-416	16	4	,	,	PUNCT
aiti-416	16	5	f	f	PROPN
aiti-416	16	6	e	e	PROPN
aiti-416	16	7	techniques	technique	NOUN
aiti-416	16	8	have	have	AUX
aiti-416	16	9	been	be	AUX
aiti-416	16	10	an	an	DET
aiti-416	16	11	important	important	ADJ
aiti-416	16	12	part	part	NOUN
aiti-416	16	13	for	for	ADP
aiti-416	16	14	hyperspectral	hyperspectral	ADJ
aiti-416	16	15	image	image	NOUN
aiti-416	16	16	classification	classification	NOUN
aiti-416	16	17	.	.	PUNCT
aiti-416	17	1	in	in	ADP
aiti-416	17	2	general	general	ADJ
aiti-416	17	3	feature	feature	NOUN
aiti-416	17	4	extraction	extraction	NOUN
aiti-416	17	5	(	(	PUNCT
aiti-416	17	6	fe	fe	NOUN
aiti-416	17	7	)	)	PUNCT
aiti-416	17	8	or	or	CCONJ
aiti-416	17	9	dimensionality	dimensionality	NOUN
aiti-416	17	10	reduction	reduction	NOUN
aiti-416	17	11	(	(	PUNCT
aiti-416	17	12	dr	dr	PROPN
aiti-416	17	13	)	)	PUNCT
aiti-416	17	14	plays	play	VERB
aiti-416	17	15	quite	quite	DET
aiti-416	17	16	an	an	DET
aiti-416	17	17	important	important	ADJ
aiti-416	17	18	role	role	NOUN
aiti-416	17	19	in	in	ADP
aiti-416	17	20	the	the	DET
aiti-416	17	21	field	field	NOUN
aiti-416	17	22	of	of	ADP
aiti-416	17	23	pattern	pattern	NOUN
aiti-416	17	24	recognition	recognition	NOUN
aiti-416	17	25	.	.	PUNCT
aiti-416	18	1	linear	linear	ADJ
aiti-416	18	2	discriminant	discriminant	ADJ
aiti-416	18	3	analysis	analysis	NOUN
aiti-416	18	4	(	(	PUNCT
aiti-416	18	5	lda	lda	PROPN
aiti-416	18	6	)	)	PUNCT
aiti-416	19	1	[	[	X
aiti-416	19	2	1	1	X
aiti-416	19	3	]	]	PUNCT
aiti-416	19	4	is	be	AUX
aiti-416	19	5	one	one	NUM
aiti-416	19	6	of	of	ADP
aiti-416	19	7	the	the	DET
aiti-416	19	8	most	most	ADV
aiti-416	19	9	well	well	ADV
aiti-416	19	10	-	-	PUNCT
aiti-416	19	11	known	know	VERB
aiti-416	19	12	linear	linear	NOUN
aiti-416	19	13	feature	feature	NOUN
aiti-416	19	14	extraction	extraction	NOUN
aiti-416	19	15	methods	method	NOUN
aiti-416	19	16	and	and	CCONJ
aiti-416	19	17	has	have	AUX
aiti-416	19	18	been	be	AUX
aiti-416	19	19	successfully	successfully	ADV
aiti-416	19	20	applied	apply	VERB
aiti-416	19	21	to	to	ADP
aiti-416	19	22	many	many	ADJ
aiti-416	19	23	fields	field	NOUN
aiti-416	19	24	.	.	PUNCT
aiti-416	20	1	the	the	DET
aiti-416	20	2	purpose	purpose	NOUN
aiti-416	20	3	of	of	ADP
aiti-416	20	4	lda	lda	PROPN
aiti-416	20	5	is	be	AUX
aiti-416	20	6	to	to	PART
aiti-416	20	7	find	find	VERB
aiti-416	20	8	a	a	DET
aiti-416	20	9	linear	linear	PROPN
aiti-416	20	10	t	t	PROPN
aiti-416	20	11	ransformat	ransformat	NOUN
aiti-416	20	12	ion	ion	NOUN
aiti-416	20	13	matrix	matrix	NOUN
aiti-416	20	14	that	that	PRON
aiti-416	20	15	can	can	AUX
aiti-416	20	16	be	be	AUX
aiti-416	20	17	used	use	VERB
aiti-416	20	18	to	to	PART
aiti-416	20	19	project	project	VERB
aiti-416	20	20	data	datum	NOUN
aiti-416	20	21	from	from	ADP
aiti-416	20	22	a	a	DET
aiti-416	20	23	h	h	NOUN
aiti-416	20	24	igh	igh	ADV
aiti-416	20	25	-	-	PUNCT
aiti-416	20	26	dimensional	dimensional	ADJ
aiti-416	20	27	space	space	NOUN
aiti-416	20	28	into	into	ADP
aiti-416	20	29	a	a	DET
aiti-416	20	30	low	low	ADJ
aiti-416	20	31	-	-	PUNCT
aiti-416	20	32	dimensional	dimensional	ADJ
aiti-416	20	33	subspace	subspace	NOUN
aiti-416	20	34	to	to	PART
aiti-416	20	35	mitigate	mitigate	VERB
aiti-416	20	36	the	the	DET
aiti-416	20	37	so	so	ADV
aiti-416	20	38	-	-	PUNCT
aiti-416	20	39	called	call	VERB
aiti-416	20	40	curse	curse	NOUN
aiti-416	20	41	of	of	ADP
aiti-416	20	42	dimensionality	dimensionality	NOUN
aiti-416	20	43	[	[	X
aiti-416	20	44	2	2	NUM
aiti-416	20	45	]	]	PUNCT
aiti-416	20	46	,	,	PUNCT
aiti-416	20	47	[	[	X
aiti-416	20	48	3	3	NUM
aiti-416	20	49	]	]	PUNCT
aiti-416	20	50	or	or	CCONJ
aiti-416	20	51	the	the	DET
aiti-416	20	52	hughes	hughes	PROPN
aiti-416	20	53	phenomenon	phenomenon	NOUN
aiti-416	20	54	[	[	X
aiti-416	20	55	4	4	NUM
aiti-416	20	56	]	]	PUNCT
aiti-416	20	57	,	,	PUNCT
aiti-416	20	58	[	[	X
aiti-416	20	59	5	5	NUM
aiti-416	20	60	]	]	PUNCT
aiti-416	20	61	.	.	PUNCT
aiti-416	21	1	the	the	DET
aiti-416	21	2	hughes	hughes	PROPN
aiti-416	21	3	phenomenon	phenomenon	PROPN
aiti-416	21	4	describes	describe	VERB
aiti-416	21	5	that	that	SCONJ
aiti-416	21	6	the	the	DET
aiti-416	21	7	ratio	ratio	NOUN
aiti-416	21	8	of	of	ADP
aiti-416	21	9	the	the	DET
aiti-416	21	10	number	number	NOUN
aiti-416	21	11	of	of	ADP
aiti-416	21	12	train	train	NOUN
aiti-416	21	13	ing	ing	ADJ
aiti-416	21	14	samples	sample	NOUN
aiti-416	21	15	and	and	CCONJ
aiti-416	21	16	the	the	DET
aiti-416	21	17	number	number	NOUN
aiti-416	21	18	of	of	ADP
aiti-416	21	19	features	feature	NOUN
aiti-416	21	20	must	must	AUX
aiti-416	21	21	be	be	AUX
aiti-416	21	22	maintained	maintain	VERB
aiti-416	21	23	at	at	ADP
aiti-416	21	24	or	or	CCONJ
aiti-416	21	25	above	above	ADP
aiti-416	21	26	some	some	DET
aiti-416	21	27	minimum	minimum	NOUN
aiti-416	21	28	value	value	NOUN
aiti-416	21	29	to	to	PART
aiti-416	21	30	achieve	achieve	VERB
aiti-416	21	31	statistical	statistical	ADJ
aiti-416	21	32	confidence	confidence	NOUN
aiti-416	21	33	[	[	X
aiti-416	21	34	5	5	NUM
aiti-416	21	35	]	]	PUNCT
aiti-416	21	36	.	.	PUNCT
aiti-416	22	1	otherwise	otherwise	ADV
aiti-416	22	2	,	,	PUNCT
aiti-416	22	3	the	the	DET
aiti-416	22	4	classification	classification	NOUN
aiti-416	22	5	accuracy	accuracy	NOUN
aiti-416	22	6	will	will	AUX
aiti-416	22	7	decline	decline	VERB
aiti-416	22	8	with	with	ADP
aiti-416	22	9	an	an	DET
aiti-416	22	10	increase	increase	NOUN
aiti-416	22	11	in	in	ADP
aiti-416	22	12	the	the	DET
aiti-416	22	13	dimensionality	dimensionality	NOUN
aiti-416	22	14	of	of	ADP
aiti-416	22	15	data	datum	NOUN
aiti-416	22	16	to	to	ADP
aiti-416	22	17	some	some	DET
aiti-416	22	18	extent	extent	NOUN
aiti-416	22	19	.	.	PUNCT
aiti-416	23	1	however	however	ADV
aiti-416	23	2	,	,	PUNCT
aiti-416	23	3	it	it	PRON
aiti-416	23	4	is	be	AUX
aiti-416	23	5	not	not	PART
aiti-416	23	6	necessary	necessary	ADJ
aiti-416	23	7	to	to	PART
aiti-416	23	8	have	have	VERB
aiti-416	23	9	sufficient	sufficient	ADJ
aiti-416	23	10	training	training	NOUN
aiti-416	23	11	samples	sample	NOUN
aiti-416	23	12	to	to	PART
aiti-416	23	13	keep	keep	VERB
aiti-416	23	14	the	the	DET
aiti-416	23	15	ratio	ratio	NOUN
aiti-416	23	16	in	in	ADP
aiti-416	23	17	a	a	DET
aiti-416	23	18	high	high	ADJ
aiti-416	23	19	-	-	PUNCT
aiti-416	23	20	dimensional	dimensional	ADJ
aiti-416	23	21	classification	classification	NOUN
aiti-416	23	22	task	task	NOUN
aiti-416	23	23	.	.	PUNCT
aiti-416	24	1	therefore	therefore	ADV
aiti-416	24	2	,	,	PUNCT
aiti-416	24	3	by	by	ADP
aiti-416	24	4	featu	featu	NOUN
aiti-416	24	5	re	re	PROPN
aiti-416	24	6	ext	ext	PROPN
aiti-416	24	7	ract	ract	NOUN
aiti-416	24	8	ion	ion	NOUN
aiti-416	24	9	,	,	PUNCT
aiti-416	24	10	the	the	DET
aiti-416	24	11	rat	rat	NOUN
aiti-416	24	12	io	io	PROPN
aiti-416	24	13	can	can	AUX
aiti-416	24	14	be	be	AUX
aiti-416	24	15	relat	relat	ADJ
aiti-416	24	16	ively	ively	ADV
aiti-416	24	17	en	en	ADV
aiti-416	24	18	larged	large	VERB
aiti-416	24	19	and	and	CCONJ
aiti-416	24	20	the	the	DET
aiti-416	24	21	curs	cur	NOUN
aiti-416	24	22	e	e	X
aiti-416	24	23	o	o	X
aiti-416	24	24	f	f	NOUN
aiti-416	24	25	dimensionality	dimensionality	NOUN
aiti-416	24	26	can	can	AUX
aiti-416	24	27	therefore	therefore	ADV
aiti-416	24	28	be	be	AUX
aiti-416	24	29	improved	improve	VERB
aiti-416	24	30	,	,	PUNCT
aiti-416	24	31	this	this	PRON
aiti-416	24	32	will	will	AUX
aiti-416	24	33	result	result	VERB
aiti-416	24	34	in	in	ADP
aiti-416	24	35	an	an	DET
aiti-416	24	36	enhancement	enhancement	NOUN
aiti-416	24	37	of	of	ADP
aiti-416	24	38	classification	classification	NOUN
aiti-416	24	39	accuracy	accuracy	NOUN
aiti-416	24	40	.	.	PUNCT
aiti-416	25	1	meanwhile	meanwhile	ADV
aiti-416	25	2	,	,	PUNCT
aiti-416	25	3	the	the	DET
aiti-416	25	4	computational	computational	ADJ
aiti-416	25	5	time	time	NOUN
aiti-416	25	6	can	can	AUX
aiti-416	25	7	be	be	AUX
aiti-416	25	8	reduced	reduce	VERB
aiti-416	25	9	as	as	ADV
aiti-416	25	10	well	well	ADV
aiti-416	25	11	.	.	PUNCT
aiti-416	26	1	*	*	PUNCT
aiti-416	26	2	corresponding	correspond	VERB
aiti-416	26	3	author	author	NOUN
aiti-416	26	4	,	,	PUNCT
aiti-416	26	5	email	email	NOUN
aiti-416	26	6	:	:	PUNCT
aiti-416	26	7	jinnminyang@mail.ntcu.edu.tw	jinnminyang@mail.ntcu.edu.tw	PROPN
aiti-416	26	8	advances	advance	VERB
aiti-416	26	9	in	in	ADP
aiti-416	26	10	technology	technology	NOUN
aiti-416	26	11	innovation	innovation	NOUN
aiti-416	26	12	,	,	PUNCT
aiti-416	26	13	vol	vol	NOUN
aiti-416	26	14	.	.	PROPN
aiti-416	27	1	2	2	NUM
aiti-416	27	2	,	,	PUNCT
aiti-416	27	3	no	no	INTJ
aiti-416	27	4	.	.	NOUN
aiti-416	27	5	3	3	NUM
aiti-416	27	6	,	,	PUNCT
aiti-416	27	7	2016	2016	NUM
aiti-416	27	8	,	,	PUNCT
aiti-416	27	9	pp	pp	ADJ
aiti-416	27	10	.	.	PUNCT
aiti-416	28	1	68	68	NUM
aiti-416	28	2	72	72	NUM
aiti-416	28	3	69	69	NUM
aiti-416	28	4	copyright	copyright	NOUN
aiti-416	28	5	©	©	PROPN
aiti-416	28	6	taeti	taeti	PROPN
aiti-416	28	7	bas	bas	PROPN
aiti-416	28	8	ically	ically	ADV
aiti-416	28	9	,	,	PUNCT
aiti-416	28	10	lda	lda	PROPN
aiti-416	28	11	has	have	VERB
aiti-416	28	12	th	th	X
aiti-416	28	13	ree	ree	ADJ
aiti-416	28	14	inherent	inherent	ADJ
aiti-416	28	15	deficiencies	deficiency	NOUN
aiti-416	28	16	in	in	ADP
aiti-416	28	17	dealing	deal	VERB
aiti-416	28	18	with	with	ADP
aiti-416	28	19	classificat	classificat	NOUN
aiti-416	28	20	ion	ion	NOUN
aiti-416	28	21	problems	problem	NOUN
aiti-416	28	22	.	.	PUNCT
aiti-416	29	1	first	first	ADV
aiti-416	29	2	,	,	PUNCT
aiti-416	29	3	lda	lda	PROPN
aiti-416	29	4	is	be	AUX
aiti-416	29	5	only	only	ADV
aiti-416	29	6	well	well	ADV
aiti-416	29	7	-	-	PUNCT
aiti-416	29	8	suited	suit	VERB
aiti-416	29	9	for	for	ADP
aiti-416	29	10	normally	normally	ADV
aiti-416	29	11	distributed	distribute	VERB
aiti-416	29	12	data	datum	NOUN
aiti-416	29	13	[	[	X
aiti-416	29	14	1	1	NUM
aiti-416	29	15	]	]	PUNCT
aiti-416	29	16	.	.	PUNCT
aiti-416	30	1	if	if	SCONJ
aiti-416	30	2	the	the	DET
aiti-416	30	3	distributions	distribution	NOUN
aiti-416	30	4	are	be	AUX
aiti-416	30	5	significantly	significantly	ADV
aiti-416	30	6	non	non	ADJ
aiti-416	30	7	-	-	ADJ
aiti-416	30	8	normal	normal	ADJ
aiti-416	30	9	,	,	PUNCT
aiti-416	30	10	the	the	DET
aiti-416	30	11	use	use	NOUN
aiti-416	30	12	of	of	ADP
aiti-416	30	13	lda	lda	PROPN
aiti-416	30	14	can	can	AUX
aiti-416	30	15	not	not	PART
aiti-416	30	16	be	be	AUX
aiti-416	30	17	expected	expect	VERB
aiti-416	30	18	to	to	PART
aiti-416	30	19	accurately	accurately	ADV
aiti-416	30	20	indicate	indicate	VERB
aiti-416	30	21	which	which	DET
aiti-416	30	22	features	feature	NOUN
aiti-416	30	23	should	should	AUX
aiti-416	30	24	be	be	AUX
aiti-416	30	25	extracted	extract	VERB
aiti-416	30	26	to	to	PART
aiti-416	30	27	preserve	preserve	VERB
aiti-416	30	28	complex	complex	ADJ
aiti-416	30	29	structures	structure	NOUN
aiti-416	30	30	needed	need	VERB
aiti-416	30	31	for	for	ADP
aiti-416	30	32	classification	classification	NOUN
aiti-416	30	33	.	.	PUNCT
aiti-416	31	1	second	second	ADJ
aiti-416	31	2	,	,	PUNCT
aiti-416	31	3	since	since	SCONJ
aiti-416	31	4	the	the	DET
aiti-416	31	5	rank	rank	NOUN
aiti-416	31	6	of	of	ADP
aiti-416	31	7	between	between	ADP
aiti-416	31	8	-	-	PUNCT
aiti-416	31	9	class	class	NOUN
aiti-416	31	10	scatter	scatter	NOUN
aiti-416	31	11	matrix	matrix	NOUN
aiti-416	31	12	is	be	AUX
aiti-416	31	13	the	the	DET
aiti-416	31	14	number	number	NOUN
aiti-416	31	15	o	o	NOUN
aiti-416	31	16	f	f	PROPN
aiti-416	31	17	classes	class	NOUN
aiti-416	31	18	minus	minus	CCONJ
aiti-416	31	19	one	one	NUM
aiti-416	32	1	[	[	X
aiti-416	32	2	1	1	NUM
aiti-416	32	3	]	]	PUNCT
aiti-416	32	4	,	,	PUNCT
aiti-416	32	5	the	the	DET
aiti-416	32	6	number	number	NOUN
aiti-416	32	7	of	of	ADP
aiti-416	32	8	features	feature	NOUN
aiti-416	32	9	can	can	AUX
aiti-416	32	10	be	be	AUX
aiti-416	32	11	extracted	extract	VERB
aiti-416	32	12	at	at	ADP
aiti-416	32	13	most	most	ADV
aiti-416	32	14	remains	remain	VERB
aiti-416	32	15	the	the	DET
aiti-416	32	16	same	same	ADJ
aiti-416	32	17	.	.	PUNCT
aiti-416	33	1	third	third	ADJ
aiti-416	33	2	,	,	PUNCT
aiti-416	33	3	the	the	DET
aiti-416	33	4	singularity	singularity	NOUN
aiti-416	33	5	problem	problem	NOUN
aiti-416	33	6	arises	arise	VERB
aiti-416	33	7	when	when	SCONJ
aiti-416	33	8	dealing	deal	VERB
aiti-416	33	9	with	with	ADP
aiti-416	33	10	high	high	ADJ
aiti-416	33	11	-	-	PUNCT
aiti-416	33	12	dimensional	dimensional	ADJ
aiti-416	33	13	and	and	CCONJ
aiti-416	33	14	small	small	ADJ
aiti-416	33	15	sample	sample	NOUN
aiti-416	33	16	size	size	NOUN
aiti-416	33	17	(	(	PUNCT
aiti-416	33	18	sss	sss	NOUN
aiti-416	33	19	)	)	PUNCT
aiti-416	33	20	data	datum	NOUN
aiti-416	33	21	[	[	X
aiti-416	33	22	1	1	NUM
aiti-416	33	23	,	,	PUNCT
aiti-416	33	24	3	3	NUM
aiti-416	33	25	,	,	PUNCT
aiti-416	33	26	6	6	NUM
aiti-416	33	27	-	-	SYM
aiti-416	33	28	7	7	NUM
aiti-416	33	29	]	]	PUNCT
aiti-416	33	30	.	.	PUNCT
aiti-416	34	1	nonparametric	nonparametric	PROPN
aiti-416	34	2	linear	linear	PROPN
aiti-416	34	3	discriminant	discriminant	ADJ
aiti-416	34	4	analysis	analysis	NOUN
aiti-416	34	5	such	such	ADJ
aiti-416	34	6	as	as	ADP
aiti-416	34	7	nonparametric	nonparametric	ADJ
aiti-416	34	8	discriminant	discriminant	ADJ
aiti-416	34	9	analysis	analysis	NOUN
aiti-416	34	10	(	(	PUNCT
aiti-416	34	11	nda	nda	NOUN
aiti-416	34	12	)	)	PUNCT
aiti-416	35	1	[	[	X
aiti-416	35	2	1	1	NUM
aiti-416	35	3	]	]	PUNCT
aiti-416	35	4	,	,	PUNCT
aiti-416	35	5	nonparametric	nonparametric	NOUN
aiti-416	35	6	weighted	weight	VERB
aiti-416	35	7	feature	feature	NOUN
aiti-416	35	8	extract	extract	NOUN
aiti-416	35	9	ion	ion	NOUN
aiti-416	35	10	(	(	PUNCT
aiti-416	35	11	nwfe	nwfe	NOUN
aiti-416	35	12	)	)	PUNCT
aiti-416	36	1	[	[	X
aiti-416	36	2	6	6	NUM
aiti-416	36	3	]	]	PUNCT
aiti-416	36	4	and	and	CCONJ
aiti-416	36	5	cosine	cosine	NOUN
aiti-416	36	6	-	-	PUNCT
aiti-416	36	7	based	base	VERB
aiti-416	36	8	feature	feature	NOUN
aiti-416	36	9	extraction	extraction	NOUN
aiti-416	36	10	(	(	PUNCT
aiti-416	36	11	cnfe	cnfe	NOUN
aiti-416	36	12	)	)	PUNCT
aiti-416	37	1	[	[	X
aiti-416	37	2	7	7	X
aiti-416	37	3	]	]	PUNCT
aiti-416	37	4	provide	provide	VERB
aiti-416	37	5	solutions	solution	NOUN
aiti-416	37	6	for	for	ADP
aiti-416	37	7	circumventing	circumvent	VERB
aiti-416	37	8	the	the	DET
aiti-416	37	9	previously	previously	ADV
aiti-416	37	10	mentioned	mention	VERB
aiti-416	37	11	problems	problem	NOUN
aiti-416	37	12	.	.	PUNCT
aiti-416	38	1	the	the	DET
aiti-416	38	2	aforementioned	aforementioned	ADJ
aiti-416	38	3	fe	fe	NOUN
aiti-416	38	4	methods	method	NOUN
aiti-416	38	5	are	be	AUX
aiti-416	38	6	spectral	spectral	ADJ
aiti-416	38	7	-	-	PUNCT
aiti-416	38	8	based	base	VERB
aiti-416	38	9	algorithms	algorithm	NOUN
aiti-416	38	10	;	;	PUNCT
aiti-416	38	11	in	in	ADP
aiti-416	38	12	other	other	ADJ
aiti-416	38	13	words	word	NOUN
aiti-416	38	14	,	,	PUNCT
aiti-416	38	15	they	they	PRON
aiti-416	38	16	measure	measure	VERB
aiti-416	38	17	similarity	similarity	NOUN
aiti-416	38	18	in	in	ADP
aiti-416	38	19	the	the	DET
aiti-416	38	20	spectral	spectral	ADJ
aiti-416	38	21	space	space	NOUN
aiti-416	38	22	.	.	PUNCT
aiti-416	39	1	using	use	VERB
aiti-416	39	2	only	only	ADJ
aiti-416	39	3	spectral	spectral	ADJ
aiti-416	39	4	informat	informat	ADJ
aiti-416	39	5	ion	ion	NOUN
aiti-416	39	6	to	to	ADP
aiti-416	39	7	classification	classification	NOUN
aiti-416	39	8	tasks	task	NOUN
aiti-416	39	9	is	be	AUX
aiti-416	39	10	insufficient	insufficient	ADJ
aiti-416	39	11	.	.	PUNCT
aiti-416	40	1	spatial	spatial	ADJ
aiti-416	40	2	contexture	contexture	NOUN
aiti-416	40	3	information	information	NOUN
aiti-416	40	4	has	have	AUX
aiti-416	40	5	been	be	AUX
aiti-416	40	6	proven	prove	VERB
aiti-416	40	7	to	to	PART
aiti-416	40	8	be	be	AUX
aiti-416	40	9	useful	useful	ADJ
aiti-416	40	10	to	to	PART
aiti-416	40	11	improve	improve	VERB
aiti-416	40	12	the	the	DET
aiti-416	40	13	classification	classification	NOUN
aiti-416	40	14	of	of	ADP
aiti-416	40	15	hsi	hsi	PROPN
aiti-416	40	16	data	datum	NOUN
aiti-416	40	17	in	in	ADP
aiti-416	40	18	recent	recent	ADJ
aiti-416	40	19	years	year	NOUN
aiti-416	41	1	[	[	X
aiti-416	41	2	8]-[9	8]-[9	X
aiti-416	41	3	]	]	PUNCT
aiti-416	41	4	.	.	PUNCT
aiti-416	42	1	in	in	ADP
aiti-416	42	2	the	the	DET
aiti-416	42	3	paper	paper	NOUN
aiti-416	42	4	,	,	PUNCT
aiti-416	42	5	a	a	DET
aiti-416	42	6	nonparametric	nonparametric	NOUN
aiti-416	42	7	feature	feature	NOUN
aiti-416	42	8	extraction	extraction	NOUN
aiti-416	42	9	method	method	NOUN
aiti-416	42	10	,	,	PUNCT
aiti-416	42	11	integrating	integrate	VERB
aiti-416	42	12	both	both	CCONJ
aiti-416	42	13	spectral	spectral	ADJ
aiti-416	42	14	and	and	CCONJ
aiti-416	42	15	spatial	spatial	ADJ
aiti-416	42	16	information	information	NOUN
aiti-416	42	17	,	,	PUNCT
aiti-416	42	18	is	be	AUX
aiti-416	42	19	proposed	propose	VERB
aiti-416	42	20	.	.	PUNCT
aiti-416	43	1	the	the	DET
aiti-416	43	2	rest	rest	NOUN
aiti-416	43	3	of	of	ADP
aiti-416	43	4	this	this	DET
aiti-416	43	5	paper	paper	NOUN
aiti-416	43	6	is	be	AUX
aiti-416	43	7	organized	organize	VERB
aiti-416	43	8	as	as	SCONJ
aiti-416	43	9	follows	follow	VERB
aiti-416	43	10	.	.	PUNCT
aiti-416	44	1	the	the	DET
aiti-416	44	2	proposed	propose	VERB
aiti-416	44	3	method	method	NOUN
aiti-416	44	4	and	and	CCONJ
aiti-416	44	5	its	its	PRON
aiti-416	44	6	experiment	experiment	NOUN
aiti-416	44	7	are	be	AUX
aiti-416	44	8	described	describe	VERB
aiti-416	44	9	in	in	ADP
aiti-416	44	10	section	section	NOUN
aiti-416	44	11	2	2	NUM
aiti-416	44	12	.	.	PUNCT
aiti-416	45	1	the	the	DET
aiti-416	45	2	experimental	experimental	ADJ
aiti-416	45	3	results	result	NOUN
aiti-416	45	4	and	and	CCONJ
aiti-416	45	5	discussion	discussion	NOUN
aiti-416	45	6	are	be	AUX
aiti-416	45	7	provided	provide	VERB
aiti-416	45	8	in	in	ADP
aiti-416	45	9	section	section	NOUN
aiti-416	45	10	3	3	NUM
aiti-416	45	11	.	.	PUNCT
aiti-416	46	1	finally	finally	ADV
aiti-416	46	2	,	,	PUNCT
aiti-416	46	3	section	section	NOUN
aiti-416	46	4	4	4	NUM
aiti-416	46	5	gives	give	VERB
aiti-416	46	6	some	some	DET
aiti-416	46	7	conclusions	conclusion	NOUN
aiti-416	46	8	of	of	ADP
aiti-416	46	9	the	the	DET
aiti-416	46	10	paper	paper	NOUN
aiti-416	46	11	.	.	PUNCT
aiti-416	47	1	2	2	X
aiti-416	47	2	.	.	X
aiti-416	47	3	method	method	VERB
aiti-416	47	4	the	the	DET
aiti-416	47	5	goal	goal	NOUN
aiti-416	47	6	of	of	ADP
aiti-416	47	7	fe	fe	NOUN
aiti-416	47	8	is	be	AUX
aiti-416	47	9	to	to	PART
aiti-416	47	10	find	find	VERB
aiti-416	47	11	a	a	DET
aiti-416	47	12	transformation	transformation	NOUN
aiti-416	47	13	matrix	matrix	NOUN
aiti-416	47	14	a	a	PRON
aiti-416	47	15	which	which	PRON
aiti-416	47	16	maximizes	maximize	VERB
aiti-416	47	17	the	the	DET
aiti-416	47	18	class	class	NOUN
aiti-416	47	19	separab	separab	NOUN
aiti-416	47	20	ility	ility	NOUN
aiti-416	47	21	in	in	ADP
aiti-416	47	22	the	the	DET
aiti-416	47	23	transformed	transform	VERB
aiti-416	47	24	space	space	NOUN
aiti-416	47	25	,	,	PUNCT
aiti-416	47	26	where	where	SCONJ
aiti-416	47	27	and	and	CCONJ
aiti-416	47	28	denote	denote	VERB
aiti-416	47	29	the	the	DET
aiti-416	47	30	within	within	NOUN
aiti-416	47	31	-	-	PUNCT
aiti-416	47	32	class	class	NOUN
aiti-416	47	33	and	and	CCONJ
aiti-416	47	34	between	between	ADP
aiti-416	47	35	-	-	PUNCT
aiti-416	47	36	class	class	NOUN
aiti-416	47	37	scatter	scatter	NOUN
aiti-416	47	38	matrices	matrix	NOUN
aiti-416	47	39	,	,	PUNCT
aiti-416	47	40	respectively	respectively	ADV
aiti-416	47	41	.	.	PUNCT
aiti-416	48	1	that	that	PRON
aiti-416	48	2	is	is	ADV
aiti-416	48	3	(	(	PUNCT
aiti-416	48	4	1	1	X
aiti-416	48	5	)	)	PUNCT
aiti-416	48	6	the	the	DET
aiti-416	48	7	maximizat	maximizat	NOUN
aiti-416	48	8	ion	ion	NOUN
aiti-416	48	9	of	of	ADP
aiti-416	48	10	(	(	PUNCT
aiti-416	48	11	1	1	NUM
aiti-416	48	12	)	)	PUNCT
aiti-416	48	13	is	be	AUX
aiti-416	48	14	equivalent	equivalent	ADJ
aiti-416	48	15	to	to	ADP
aiti-416	48	16	solving	solve	VERB
aiti-416	48	17	the	the	DET
aiti-416	48	18	generalized	generalize	VERB
aiti-416	48	19	eigenvalue	eigenvalue	NOUN
aiti-416	48	20	decomposition	decomposition	NOUN
aiti-416	48	21	problem	problem	NOUN
aiti-416	48	22	where	where	SCONJ
aiti-416	48	23	denotes	denote	VERB
aiti-416	48	24	the	the	DET
aiti-416	48	25	dimensionality	dimensionality	NOUN
aiti-416	48	26	of	of	ADP
aiti-416	48	27	the	the	DET
aiti-416	48	28	transformed	transform	VERB
aiti-416	48	29	space	space	NOUN
aiti-416	48	30	,	,	PUNCT
aiti-416	48	31	represent	represent	VERB
aiti-416	48	32	the	the	DET
aiti-416	48	33	eigen	eigen	NOUN
aiti-416	48	34	-	-	PUNCT
aiti-416	48	35	pair	pair	NOUN
aiti-416	48	36	of	of	ADP
aiti-416	48	37	,	,	PUNCT
aiti-416	48	38	and	and	CCONJ
aiti-416	48	39	.	.	PUNCT
aiti-416	49	1	thus	thus	ADV
aiti-416	49	2	,	,	PUNCT
aiti-416	49	3	the	the	DET
aiti-416	49	4	transformation	transformation	NOUN
aiti-416	49	5	matrix	matrix	NOUN
aiti-416	49	6	a	a	PRON
aiti-416	49	7	=	=	PUNCT
aiti-416	50	1	[	[	X
aiti-416	50	2	v1	v1	NOUN
aiti-416	50	3	,	,	PUNCT
aiti-416	50	4	…	…	PUNCT
aiti-416	50	5	,	,	PUNCT
aiti-416	50	6	v𝑃	v𝑃	PROPN
aiti-416	50	7	]	]	PUNCT
aiti-416	50	8	can	can	AUX
aiti-416	50	9	be	be	AUX
aiti-416	50	10	obtained	obtain	VERB
aiti-416	50	11	.	.	PUNCT
aiti-416	51	1	the	the	DET
aiti-416	51	2	proposed	propose	VERB
aiti-416	51	3	spatial	spatial	ADJ
aiti-416	51	4	and	and	CCONJ
aiti-416	51	5	spectral	spectral	ADJ
aiti-416	51	6	feature	feature	NOUN
aiti-416	51	7	e	e	NOUN
aiti-416	51	8	xtraction	xtraction	NOUN
aiti-416	51	9	method	method	NOUN
aiti-416	51	10	includes	include	VERB
aiti-416	51	11	two	two	NUM
aiti-416	51	12	parts	part	NOUN
aiti-416	51	13	,	,	PUNCT
aiti-416	51	14	one	one	NUM
aiti-416	51	15	idea	idea	NOUN
aiti-416	51	16	is	be	AUX
aiti-416	51	17	to	to	PART
aiti-416	51	18	incorporate	incorporate	VERB
aiti-416	51	19	the	the	DET
aiti-416	51	20	spatial	spatial	ADJ
aiti-416	51	21	information	information	NOUN
aiti-416	51	22	into	into	ADP
aiti-416	51	23	the	the	DET
aiti-416	51	24	within	within	ADJ
aiti-416	51	25	-class	-class	ADJ
aiti-416	51	26	and	and	CCONJ
aiti-416	51	27	scatter	scatter	NOUN
aiti-416	51	28	matrix	matrix	NOUN
aiti-416	51	29	design	design	NOUN
aiti-416	51	30	,	,	PUNCT
aiti-416	51	31	and	and	CCONJ
aiti-416	51	32	the	the	DET
aiti-416	51	33	other	other	ADJ
aiti-416	51	34	idea	idea	NOUN
aiti-416	51	35	is	be	AUX
aiti-416	51	36	to	to	PART
aiti-416	51	37	incorporate	incorporate	VERB
aiti-416	51	38	another	another	DET
aiti-416	51	39	scatter	scatter	NOUN
aiti-416	51	40	matrix	matrix	NOUN
aiti-416	51	41	to	to	PART
aiti-416	51	42	regularize	regularize	VERB
aiti-416	51	43	the	the	DET
aiti-416	51	44	within	within	ADP
aiti-416	51	45	-class	-class	NOUN
aiti-416	51	46	scatter	scatter	NOUN
aiti-416	51	47	matrix	matrix	NOUN
aiti-416	51	48	.	.	PUNCT
aiti-416	52	1	2.1	2.1	NUM
aiti-416	52	2	.	.	PUNCT
aiti-416	53	1	the	the	DET
aiti-416	53	2	nonparametric	nonparametric	PROPN
aiti-416	53	3	linear	linear	PROPN
aiti-416	53	4	discriminate	discriminate	VERB
aiti-416	53	5	analysis	analysis	NOUN
aiti-416	53	6	the	the	DET
aiti-416	53	7	within	within	ADP
aiti-416	53	8	-	-	PUNCT
aiti-416	53	9	class	class	NOUN
aiti-416	53	10	matrix	matrix	NOUN
aiti-416	53	11	and	and	CCONJ
aiti-416	53	12	between	between	ADP
aiti-416	53	13	-	-	PUNCT
aiti-416	53	14	class	class	NOUN
aiti-416	53	15	scatter	scatter	NOUN
aiti-416	53	16	matrix	matrix	NOUN
aiti-416	53	17	o	o	X
aiti-416	53	18	f	f	PROPN
aiti-416	54	1	the	the	DET
aiti-416	54	2	nonparametric	nonparametric	PROPN
aiti-416	54	3	linear	linear	VERB
aiti-416	54	4	discriminant	discriminant	ADJ
aiti-416	54	5	feature	feature	NOUN
aiti-416	54	6	extract	extract	NOUN
aiti-416	54	7	ion	ion	NOUN
aiti-416	54	8	(	(	PUNCT
aiti-416	54	9	nlda	nlda	ADV
aiti-416	54	10	)	)	PUNCT
aiti-416	54	11	are	be	AUX
aiti-416	54	12	defined	define	VERB
aiti-416	54	13	as	as	ADP
aiti-416	54	14	follows	follow	NOUN
aiti-416	54	15	,	,	PUNCT
aiti-416	54	16	respectively	respectively	ADV
aiti-416	54	17	.	.	PUNCT
aiti-416	55	1	(	(	PUNCT
aiti-416	55	2	2	2	NUM
aiti-416	55	3	)	)	PUNCT
aiti-416	55	4	(	(	PUNCT
aiti-416	55	5	3	3	X
aiti-416	55	6	)	)	PUNCT
aiti-416	55	7	where	where	SCONJ
aiti-416	55	8	and	and	CCONJ
aiti-416	55	9	denote	denote	VERB
aiti-416	55	10	the	the	DET
aiti-416	55	11	local	local	ADJ
aiti-416	55	12	mean	mean	NOUN
aiti-416	55	13	of	of	ADP
aiti-416	55	14	training	training	NOUN
aiti-416	55	15	sample	sample	NOUN
aiti-416	55	16	corresponding	correspond	VERB
aiti-416	55	17	to	to	ADP
aiti-416	55	18	the	the	DET
aiti-416	55	19	th	th	X
aiti-416	55	20	class	class	NOUN
aiti-416	55	21	and	and	CCONJ
aiti-416	55	22	th	th	X
aiti-416	55	23	class	class	NOUN
aiti-416	55	24	,	,	PUNCT
aiti-416	55	25	respectively	respectively	ADV
aiti-416	55	26	.	.	PUNCT
aiti-416	56	1	the	the	DET
aiti-416	56	2	local	local	ADJ
aiti-416	56	3	mean	mean	NOUN
aiti-416	56	4	of	of	ADP
aiti-416	56	5	is	be	AUX
aiti-416	56	6	computed	compute	VERB
aiti-416	56	7	by	by	ADP
aiti-416	56	8	its	its	PRON
aiti-416	56	9	-nearest	-nearest	ADJ
aiti-416	56	10	neighbors	neighbor	NOUN
aiti-416	56	11	(	(	PUNCT
aiti-416	56	12	nns	nn	NOUN
aiti-416	56	13	)	)	PUNCT
aiti-416	56	14	in	in	ADP
aiti-416	56	15	the	the	DET
aiti-416	56	16	same	same	ADJ
aiti-416	56	17	class	class	NOUN
aiti-416	56	18	or	or	CCONJ
aiti-416	56	19	in	in	ADP
aiti-416	56	20	the	the	DET
aiti-416	56	21	different	different	ADJ
aiti-416	56	22	classes	class	NOUN
aiti-416	56	23	as	as	SCONJ
aiti-416	56	24	shown	show	VERB
aiti-416	56	25	in	in	ADP
aiti-416	56	26	(	(	PUNCT
aiti-416	56	27	4	4	NUM
aiti-416	56	28	)	)	PUNCT
aiti-416	56	29	.	.	PUNCT
aiti-416	57	1	(	(	PUNCT
aiti-416	57	2	4	4	X
aiti-416	57	3	)	)	PUNCT
aiti-416	57	4	2.2	2.2	NUM
aiti-416	57	5	.	.	PUNCT
aiti-416	58	1	the	the	DET
aiti-416	58	2	spatial	spatial	ADJ
aiti-416	58	3	and	and	CCONJ
aiti-416	58	4	spectral	spectral	ADJ
aiti-416	58	5	nonparametric	nonparametric	NOUN
aiti-416	58	6	linear	linear	PROPN
aiti-416	58	7	discriminate	discriminate	VERB
aiti-416	58	8	analysis	analysis	NOUN
aiti-416	58	9	the	the	DET
aiti-416	58	10	within	within	ADP
aiti-416	58	11	-	-	PUNCT
aiti-416	58	12	class	class	NOUN
aiti-416	58	13	matrix	matrix	NOUN
aiti-416	58	14	and	and	CCONJ
aiti-416	58	15	between	between	ADP
aiti-416	58	16	-	-	PUNCT
aiti-416	58	17	class	class	NOUN
aiti-416	58	18	scatter	scatter	NOUN
aiti-416	58	19	matrix	matrix	NOUN
aiti-416	58	20	o	o	X
aiti-416	59	1	f	f	NOUN
aiti-416	60	1	the	the	DET
aiti-416	60	2	spatial	spatial	ADJ
aiti-416	60	3	and	and	CCONJ
aiti-416	60	4	spectral	spectral	ADJ
aiti-416	60	5	nonparametric	nonparametric	NOUN
aiti-416	60	6	linear	linear	PROPN
aiti-416	61	1	d	d	PROPN
aiti-416	61	2	iscriminan	iscriminan	NOUN
aiti-416	61	3	t	t	PROPN
aiti-416	61	4	featu	featu	PROPN
aiti-416	61	5	re	re	PROPN
aiti-416	61	6	extraction	extraction	NOUN
aiti-416	61	7	(	(	PUNCT
aiti-416	61	8	ssnlda	ssnlda	NOUN
aiti-416	61	9	)	)	PUNCT
aiti-416	61	10	are	be	AUX
aiti-416	61	11	defined	define	VERB
aiti-416	61	12	as	as	ADP
aiti-416	61	13	follows	follow	NOUN
aiti-416	61	14	,	,	PUNCT
aiti-416	61	15	respectively	respectively	ADV
aiti-416	61	16	.	.	PUNCT
aiti-416	62	1			NOUN
aiti-416	62	2			PUNCT
aiti-416	62	3			NOUN
aiti-416	63	1			NOUN
aiti-416	63	2			PROPN
aiti-416	63	3			PROPN
aiti-416	63	4			NOUN
aiti-416	63	5			PUNCT
aiti-416	63	6			NOUN
aiti-416	64	1			NOUN
aiti-416	64	2			PROPN
aiti-416	64	3			PROPN
aiti-416	64	4	1	1	NUM
aiti-416	64	5	1	1	NUM
aiti-416	65	1	i	i	NOUN
aiti-416	65	2	t	t	NOUN
aiti-416	65	3	l	l	NOUN
aiti-416	66	1	s	s	X
aiti-416	66	2	s	s	X
aiti-416	67	1	i	i	PRON
aiti-416	67	2	i	i	PRON
aiti-416	68	1	i	i	PRON
aiti-416	68	2	iw	iw	VERB
aiti-416	69	1	i	i	PRON
aiti-416	69	2	n	n	VERB
aiti-416	70	1	i	i	PRON
aiti-416	70	2	i	i	PRON
aiti-416	70	3	is	be	AUX
aiti-416	70	4	x	x	PUNCT
aiti-416	70	5	x	x	PUNCT
aiti-416	70	6	x	x	NOUN
aiti-416	70	7	xp	xp	INTJ
aiti-416	70	8	m	m	VERB
aiti-416	70	9	m	m	VERB
aiti-416	70	10			ADJ
aiti-416	71	1			ADJ
aiti-416	71	2			PROPN
aiti-416	71	3			PROPN
aiti-416	71	4			VERB
aiti-416	71	5			X
aiti-416	71	6	(	(	PUNCT
aiti-416	71	7	5	5	NUM
aiti-416	71	8	)	)	PUNCT
aiti-416	71	9			NOUN
aiti-416	71	10			PUNCT
aiti-416	71	11			NOUN
aiti-416	72	1			NOUN
aiti-416	72	2			PROPN
aiti-416	72	3			PROPN
aiti-416	72	4			NOUN
aiti-416	72	5			PUNCT
aiti-416	72	6			NOUN
aiti-416	73	1			NOUN
aiti-416	73	2			PROPN
aiti-416	73	3			PROPN
aiti-416	73	4	1	1	NUM
aiti-416	73	5	1	1	NUM
aiti-416	73	6	1	1	NUM
aiti-416	73	7	inl	inl	NOUN
aiti-416	73	8	l	l	NOUN
aiti-416	73	9	t	t	NOUN
aiti-416	73	10	s	s	X
aiti-416	73	11	s	s	X
aiti-416	74	1	i	i	PRON
aiti-416	74	2	i	i	PRON
aiti-416	75	1	i	i	PRON
aiti-416	75	2	i	i	PRON
aiti-416	76	1	i	i	INTJ
aiti-416	77	1	j	j	INTJ
aiti-416	78	1	jb	jb	INTJ
aiti-416	78	2	i	i	INTJ
aiti-416	79	1	j	j	PROPN
aiti-416	80	1	j	j	NOUN
aiti-416	81	1	i	i	PRON
aiti-416	81	2	s	s	VERB
aiti-416	81	3	x	x	PUNCT
aiti-416	81	4	x	x	PUNCT
aiti-416	81	5	x	x	NOUN
aiti-416	81	6	xp	xp	INTJ
aiti-416	81	7	m	m	VERB
aiti-416	81	8	m	m	VERB
aiti-416	81	9			ADJ
aiti-416	82	1			NUM
aiti-416	83	1			NUM
aiti-416	83	2			NOUN
aiti-416	83	3			NUM
aiti-416	83	4			PROPN
aiti-416	83	5			PROPN
aiti-416	83	6			X
aiti-416	83	7	(	(	PUNCT
aiti-416	83	8	6	6	NUM
aiti-416	83	9	)	)	PUNCT
aiti-416	83	10	where	where	SCONJ
aiti-416	83	11	and	and	CCONJ
aiti-416	83	12	denote	denote	VERB
aiti-416	83	13	the	the	DET
aiti-416	83	14	local	local	ADJ
aiti-416	83	15	mean	mean	NOUN
aiti-416	83	16	of	of	ADP
aiti-416	83	17	training	training	NOUN
aiti-416	83	18	sample	sample	NOUN
aiti-416	83	19	corresponding	correspond	VERB
aiti-416	83	20	to	to	ADP
aiti-416	83	21	the	the	DET
aiti-416	83	22	th	th	X
aiti-416	83	23	class	class	NOUN
aiti-416	83	24	and	and	CCONJ
aiti-416	83	25	th	th	X
aiti-416	83	26	class	class	NOUN
aiti-416	83	27	,	,	PUNCT
aiti-416	83	28	respectively	respectively	ADV
aiti-416	83	29	.	.	PUNCT
aiti-416	84	1	the	the	DET
aiti-416	84	2	local	local	ADJ
aiti-416	84	3	mean	mean	NOUN
aiti-416	84	4	of	of	ADP
aiti-416	84	5	is	be	AUX
aiti-416	84	6	computed	compute	VERB
aiti-416	84	7	by	by	ADP
aiti-416	84	8	utilizing	utilize	VERB
aiti-416	84	9	the	the	DET
aiti-416	84	10	advances	advance	NOUN
aiti-416	84	11	in	in	ADP
aiti-416	84	12	technology	technology	NOUN
aiti-416	84	13	innovation	innovation	NOUN
aiti-416	84	14	,	,	PUNCT
aiti-416	84	15	vol	vol	NOUN
aiti-416	84	16	.	.	PROPN
aiti-416	84	17	2	2	NUM
aiti-416	84	18	,	,	PUNCT
aiti-416	84	19	no	no	INTJ
aiti-416	84	20	.	.	NOUN
aiti-416	84	21	3	3	NUM
aiti-416	84	22	,	,	PUNCT
aiti-416	84	23	2016	2016	NUM
aiti-416	84	24	,	,	PUNCT
aiti-416	84	25	pp	pp	ADJ
aiti-416	84	26	.	.	PUNCT
aiti-416	85	1	68	68	NUM
aiti-416	85	2	72	72	NUM
aiti-416	85	3	70	70	NUM
aiti-416	85	4	copyright	copyright	NOUN
aiti-416	85	5	©	©	PROPN
aiti-416	85	6	taeti	taeti	PROPN
aiti-416	85	7	spectral	spectral	PROPN
aiti-416	85	8	weighted	weight	VERB
aiti-416	85	9	local	local	ADJ
aiti-416	85	10	mean	mean	NOUN
aiti-416	85	11	and	and	CCONJ
aiti-416	85	12	spatial	spatial	ADJ
aiti-416	85	13	weighted	weight	VERB
aiti-416	85	14	local	local	ADJ
aiti-416	85	15	mean	mean	NOUN
aiti-416	85	16	,	,	PUNCT
aiti-416	85	17	as	as	SCONJ
aiti-416	85	18	shown	show	VERB
aiti-416	85	19	in	in	ADP
aiti-416	85	20	(	(	PUNCT
aiti-416	85	21	7	7	NUM
aiti-416	85	22	)	)	PUNCT
aiti-416	85	23	.	.	PUNCT
aiti-416	86	1	(	(	PUNCT
aiti-416	86	2	7	7	X
aiti-416	86	3	)	)	PUNCT
aiti-416	86	4	where	where	SCONJ
aiti-416	86	5	(	(	PUNCT
aiti-416	86	6	8)	8)	NOUN
aiti-416	86	7	with	with	ADP
aiti-416	86	8	(	(	PUNCT
aiti-416	86	9	9	9	NUM
aiti-416	86	10	)	)	PUNCT
aiti-416	86	11	and	and	CCONJ
aiti-416	86	12	(	(	PUNCT
aiti-416	86	13	10	10	NUM
aiti-416	86	14	)	)	PUNCT
aiti-416	86	15	with	with	ADP
aiti-416	86	16	(	(	PUNCT
aiti-416	86	17	11	11	NUM
aiti-416	86	18	)	)	PUNCT
aiti-416	86	19	and	and	CCONJ
aiti-416	86	20	denotes	denote	VERB
aiti-416	86	21	the	the	DET
aiti-416	86	22	coordinate	coordinate	NOUN
aiti-416	86	23	of	of	ADP
aiti-416	86	24	training	training	NOUN
aiti-416	86	25	sample	sample	NOUN
aiti-416	86	26	,	,	PUNCT
aiti-416	86	27	the	the	DET
aiti-416	86	28	parameter	parameter	NOUN
aiti-416	86	29	.	.	PUNCT
aiti-416	87	1	another	another	DET
aiti-416	87	2	part	part	NOUN
aiti-416	87	3	of	of	ADP
aiti-416	87	4	is	be	AUX
aiti-416	87	5	the	the	DET
aiti-416	87	6	distance	distance	NOUN
aiti-416	87	7	scatter	scatter	NOUN
aiti-416	87	8	matrix	matrix	NOUN
aiti-416	87	9	introduce	introduce	NOUN
aiti-416	87	10	in	in	ADP
aiti-416	87	11	[	[	NOUN
aiti-416	87	12	8	8	NUM
aiti-416	87	13	]	]	PUNCT
aiti-416	87	14	.	.	PUNCT
aiti-416	88	1	based	base	VERB
aiti-416	88	2	on	on	ADP
aiti-416	88	3	a	a	DET
aiti-416	88	4	window	window	NOUN
aiti-416	88	5	,	,	PUNCT
aiti-416	88	6	a	a	DET
aiti-416	88	7	training	training	NOUN
aiti-416	88	8	sample	sample	NOUN
aiti-416	88	9	and	and	CCONJ
aiti-416	88	10	its	its	PRON
aiti-416	88	11	pixel	pixel	PROPN
aiti-416	88	12	neighbors	neighbor	NOUN
aiti-416	88	13	form	form	VERB
aiti-416	88	14	a	a	DET
aiti-416	88	15	local	local	ADJ
aiti-416	88	16	patch	patch	NOUN
aiti-416	88	17	,	,	PUNCT
aiti-416	88	18	where	where	SCONJ
aiti-416	88	19	the	the	DET
aiti-416	88	20	odd	odd	ADJ
aiti-416	88	21	number	number	NOUN
aiti-416	88	22	is	be	AUX
aiti-416	88	23	the	the	DET
aiti-416	88	24	width	width	NOUN
aiti-416	88	25	of	of	ADP
aiti-416	88	26	the	the	DET
aiti-416	88	27	neighborhood	neighborhood	NOUN
aiti-416	88	28	window	window	NOUN
aiti-416	88	29	.	.	PUNCT
aiti-416	89	1	the	the	DET
aiti-416	89	2	scatter	scatter	NOUN
aiti-416	89	3	matrix	matrix	NOUN
aiti-416	89	4	and	and	CCONJ
aiti-416	89	5	(	(	PUNCT
aiti-416	89	6	12	12	NUM
aiti-416	89	7	)	)	PUNCT
aiti-416	89	8	where	where	SCONJ
aiti-416	89	9	s	s	NOUN
aiti-416	89	10	=	=	SYM
aiti-416	89	11	𝑧2	𝑧2	PROPN
aiti-416	89	12	−	−	PROPN
aiti-416	89	13	1	1	NUM
aiti-416	89	14	,	,	PUNCT
aiti-416	89	15	and	and	CCONJ
aiti-416	89	16	.	.	PUNCT
aiti-416	90	1	parameter	parameter	NOUN
aiti-416	90	2	reflects	reflect	VERB
aiti-416	90	3	the	the	DET
aiti-416	90	4	degree	degree	NOUN
aiti-416	90	5	of	of	ADP
aiti-416	90	6	filtering	filtering	NOUN
aiti-416	90	7	.	.	PUNCT
aiti-416	91	1	regularization	regularization	NOUN
aiti-416	91	2	is	be	AUX
aiti-416	91	3	employed	employ	VERB
aiti-416	91	4	to	to	PART
aiti-416	91	5	improve	improve	VERB
aiti-416	91	6	the	the	DET
aiti-416	91	7	singularity	singularity	NOUN
aiti-416	91	8	problem	problem	NOUN
aiti-416	91	9	in	in	ADP
aiti-416	91	10	ssnlda	ssnlda	NOUN
aiti-416	91	11	.	.	PUNCT
aiti-416	92	1	the	the	DET
aiti-416	92	2	within	within	ADP
aiti-416	92	3	-	-	PUNCT
aiti-416	92	4	class	class	NOUN
aiti-416	92	5	scatter	scatter	NOUN
aiti-416	92	6	matrix	matrix	NOUN
aiti-416	92	7	is	be	AUX
aiti-416	92	8	replaced	replace	VERB
aiti-416	92	9	by	by	ADP
aiti-416	92	10	(	(	PUNCT
aiti-416	92	11	13	13	NUM
aiti-416	92	12	)	)	PUNCT
aiti-416	92	13	where	where	SCONJ
aiti-416	92	14	denotes	denote	VERB
aiti-416	92	15	the	the	DET
aiti-416	92	16	diagonal	diagonal	ADJ
aiti-416	92	17	parts	part	NOUN
aiti-416	92	18	of	of	ADP
aiti-416	92	19	a	a	DET
aiti-416	92	20	matrix	matrix	NOUN
aiti-416	92	21	and	and	CCONJ
aiti-416	92	22	.	.	PUNCT
aiti-416	93	1	2.3	2.3	NUM
aiti-416	93	2	.	.	PUNCT
aiti-416	93	3	dataset	dataset	VERB
aiti-416	93	4	the	the	DET
aiti-416	93	5	indian	indian	ADJ
aiti-416	93	6	pines	pine	NOUN
aiti-416	93	7	image	image	NOUN
aiti-416	93	8	,	,	PUNCT
aiti-416	93	9	mounted	mount	VERB
aiti-416	93	10	from	from	ADP
aiti-416	93	11	an	an	DET
aiti-416	93	12	aircraft	aircraft	NOUN
aiti-416	93	13	flown	fly	VERB
aiti-416	93	14	at	at	ADP
aiti-416	93	15	65000	65000	NUM
aiti-416	93	16	-	-	PUNCT
aiti-416	93	17	ft	ft	NOUN
aiti-416	93	18	altitude	altitude	NOUN
aiti-416	93	19	and	and	CCONJ
aiti-416	93	20	operated	operate	VERB
aiti-416	93	21	by	by	ADP
aiti-416	93	22	the	the	DET
aiti-416	93	23	nasa	nasa	PROPN
aiti-416	93	24	/	/	SYM
aiti-416	93	25	jet	jet	NOUN
aiti-416	93	26	propulsion	propulsion	NOUN
aiti-416	93	27	laboratory	laboratory	NOUN
aiti-416	93	28	,	,	PUNCT
aiti-416	93	29	with	with	SCONJ
aiti-416	93	30	the	the	DET
aiti-416	93	31	size	size	NOUN
aiti-416	93	32	of	of	ADP
aiti-416	93	33	145	145	NUM
aiti-416	93	34	×	×	NOUN
aiti-416	93	35	145	145	NUM
aiti-416	93	36	pixels	pixel	NOUN
aiti-416	93	37	has	have	VERB
aiti-416	93	38	220	220	NUM
aiti-416	93	39	spectral	spectral	ADJ
aiti-416	93	40	bands	band	NOUN
aiti-416	93	41	measuring	measure	VERB
aiti-416	93	42	approximately	approximately	ADV
aiti-416	93	43	20	20	NUM
aiti-416	93	44	m	m	NOUN
aiti-416	93	45	across	across	ADP
aiti-416	93	46	the	the	DET
aiti-416	93	47	ground	ground	NOUN
aiti-416	93	48	.	.	PUNCT
aiti-416	94	1	we	we	PRON
aiti-416	94	2	have	have	AUX
aiti-416	94	3	also	also	ADV
aiti-416	94	4	reduced	reduce	VERB
aiti-416	94	5	the	the	DET
aiti-416	94	6	number	number	NOUN
aiti-416	94	7	of	of	ADP
aiti-416	94	8	bands	band	NOUN
aiti-416	94	9	to	to	ADP
aiti-416	94	10	200	200	NUM
aiti-416	94	11	by	by	ADP
aiti-416	94	12	removing	remove	VERB
aiti-416	94	13	bands	band	NOUN
aiti-416	94	14	covering	cover	VERB
aiti-416	94	15	the	the	DET
aiti-416	94	16	region	region	NOUN
aiti-416	94	17	of	of	ADP
aiti-416	94	18	water	water	NOUN
aiti-416	94	19	absorption	absorption	NOUN
aiti-416	94	20	:	:	PUNCT
aiti-416	94	21	104	104	NUM
aiti-416	94	22	-	-	SYM
aiti-416	94	23	108	108	NUM
aiti-416	94	24	,	,	PUNCT
aiti-416	94	25	150	150	NUM
aiti-416	94	26	-	-	SYM
aiti-416	94	27	163	163	NUM
aiti-416	94	28	,	,	PUNCT
aiti-416	94	29	and	and	CCONJ
aiti-416	94	30	220	220	NUM
aiti-416	94	31	.	.	PUNCT
aiti-416	95	1	there	there	PRON
aiti-416	95	2	are	be	VERB
aiti-416	95	3	16	16	NUM
aiti-416	95	4	classes	class	NOUN
aiti-416	95	5	in	in	ADP
aiti-416	95	6	the	the	DET
aiti-416	95	7	data	datum	NOUN
aiti-416	95	8	set	set	VERB
aiti-416	95	9	.	.	PUNCT
aiti-416	96	1	the	the	DET
aiti-416	96	2	total	total	ADJ
aiti-416	96	3	number	number	NOUN
aiti-416	96	4	of	of	ADP
aiti-416	96	5	samples	sample	NOUN
aiti-416	96	6	is	be	AUX
aiti-416	96	7	10249	10249	NUM
aiti-416	96	8	,	,	PUNCT
aiti-416	96	9	ranging	range	VERB
aiti-416	96	10	from	from	ADP
aiti-416	96	11	20	20	NUM
aiti-416	96	12	to	to	ADP
aiti-416	96	13	2455	2455	NUM
aiti-416	96	14	in	in	ADP
aiti-416	96	15	each	each	DET
aiti-416	96	16	class	class	NOUN
aiti-416	96	17	.	.	PUNCT
aiti-416	97	1	in	in	ADP
aiti-416	97	2	figure	figure	NOUN
aiti-416	97	3	1	1	NUM
aiti-416	97	4	,	,	PUNCT
aiti-416	97	5	the	the	DET
aiti-416	97	6	left	left	ADJ
aiti-416	97	7	and	and	CCONJ
aiti-416	97	8	right	right	ADJ
aiti-416	97	9	images	image	NOUN
aiti-416	97	10	depict	depict	VERB
aiti-416	97	11	the	the	DET
aiti-416	97	12	false	false	ADJ
aiti-416	97	13	color	color	NOUN
aiti-416	97	14	composition	composition	NOUN
aiti-416	97	15	of	of	ADP
aiti-416	97	16	three	three	NUM
aiti-416	97	17	sample	sample	NOUN
aiti-416	97	18	bands	band	NOUN
aiti-416	97	19	50	50	NUM
aiti-416	97	20	,	,	PUNCT
aiti-416	97	21	27	27	NUM
aiti-416	97	22	and	and	CCONJ
aiti-416	97	23	17	17	NUM
aiti-416	97	24	and	and	CCONJ
aiti-416	97	25	its	its	PRON
aiti-416	97	26	ground	ground	NOUN
aiti-416	97	27	truth	truth	NOUN
aiti-416	97	28	of	of	ADP
aiti-416	97	29	the	the	DET
aiti-416	97	30	indian	indian	ADJ
aiti-416	97	31	pines	pine	NOUN
aiti-416	97	32	dataset	dataset	NOUN
aiti-416	97	33	,	,	PUNCT
aiti-416	97	34	respectively	respectively	ADV
aiti-416	97	35	.	.	PUNCT
aiti-416	98	1	fig	fig	NOUN
aiti-416	98	2	.	.	PUNCT
aiti-416	99	1	1	1	NUM
aiti-416	99	2	the	the	DET
aiti-416	99	3	left	left	ADJ
aiti-416	99	4	figure	figure	NOUN
aiti-416	99	5	depicts	depict	VERB
aiti-416	99	6	indian	indian	ADJ
aiti-416	99	7	pines	pine	NOUN
aiti-416	99	8	image	image	NOUN
aiti-416	99	9	of	of	ADP
aiti-416	99	10	band	band	NOUN
aiti-416	99	11	50	50	NUM
aiti-416	99	12	,	,	PUNCT
aiti-416	99	13	27	27	NUM
aiti-416	99	14	and	and	CCONJ
aiti-416	99	15	17	17	NUM
aiti-416	99	16	;	;	PUNCT
aiti-416	99	17	the	the	DET
aiti-416	99	18	right	right	ADJ
aiti-416	99	19	one	one	NOUN
aiti-416	99	20	shows	show	VERB
aiti-416	99	21	its	its	PRON
aiti-416	99	22	ground	ground	NOUN
aiti-416	99	23	truth	truth	NOUN
aiti-416	99	24	.	.	PUNCT
aiti-416	100	1	2.4	2.4	NUM
aiti-416	100	2	.	.	PUNCT
aiti-416	100	3	experiment	experiment	NOUN
aiti-416	100	4	design	design	NOUN
aiti-416	100	5	three	three	NUM
aiti-416	100	6	different	different	ADJ
aiti-416	100	7	cases	case	NOUN
aiti-416	100	8	,	,	PUNCT
aiti-416	100	9	each	each	DET
aiti-416	100	10	class	class	NOUN
aiti-416	100	11	with	with	ADP
aiti-416	100	12	5	5	NUM
aiti-416	100	13	(	(	PUNCT
aiti-416	100	14	case	case	NOUN
aiti-416	100	15	i	i	X
aiti-416	100	16	)	)	PUNCT
aiti-416	100	17	,	,	PUNCT
aiti-416	100	18	10	10	NUM
aiti-416	100	19	(	(	PUNCT
aiti-416	100	20	case	case	NOUN
aiti-416	100	21	ii	ii	NUM
aiti-416	100	22	)	)	PUNCT
aiti-416	100	23	,	,	PUNCT
aiti-416	100	24	and	and	CCONJ
aiti-416	100	25	20	20	NUM
aiti-416	100	26	(	(	PUNCT
aiti-416	100	27	case	case	NOUN
aiti-416	100	28	iii	iii	X
aiti-416	100	29	)	)	PUNCT
aiti-416	100	30	training	training	NOUN
aiti-416	100	31	samples	sample	NOUN
aiti-416	100	32	are	be	AUX
aiti-416	100	33	investigated	investigate	VERB
aiti-416	100	34	to	to	PART
aiti-416	100	35	discover	discover	VERB
aiti-416	100	36	the	the	DET
aiti-416	100	37	effect	effect	NOUN
aiti-416	100	38	on	on	ADP
aiti-416	100	39	the	the	DET
aiti-416	100	40	sizes	size	NOUN
aiti-416	100	41	of	of	ADP
aiti-416	100	42	training	training	NOUN
aiti-416	100	43	samples	sample	NOUN
aiti-416	100	44	in	in	ADP
aiti-416	100	45	the	the	DET
aiti-416	100	46	experiments	experiment	NOUN
aiti-416	100	47	.	.	PUNCT
aiti-416	101	1	the	the	PRON
aiti-416	101	2	remain	remain	VERB
aiti-416	101	3	ing	ing	ADJ
aiti-416	101	4	samples	sample	NOUN
aiti-416	101	5	are	be	AUX
aiti-416	101	6	employed	employ	VERB
aiti-416	101	7	as	as	ADP
aiti-416	101	8	the	the	DET
aiti-416	101	9	test	test	NOUN
aiti-416	101	10	samples	sample	NOUN
aiti-416	101	11	.	.	PUNCT
aiti-416	102	1	the	the	DET
aiti-416	102	2	cases	case	NOUN
aiti-416	102	3	i	i	PRON
aiti-416	102	4	and	and	CCONJ
aiti-416	102	5	ii	ii	PROPN
aiti-416	102	6	are	be	AUX
aiti-416	102	7	the	the	DET
aiti-416	102	8	so	so	ADV
aiti-416	102	9	-	-	PUNCT
aiti-416	102	10	called	call	VERB
aiti-416	102	11	il	il	PROPN
aiti-416	102	12	l	l	PROPN
aiti-416	102	13	-	-	PUNCT
aiti-416	102	14	posed	pose	VERB
aiti-416	102	15	and	and	CCONJ
aiti-416	102	16	poorly	poorly	ADV
aiti-416	102	17	pos	pos	NOUN
aiti-416	102	18	ed	ed	NOUN
aiti-416	102	19	class	class	NOUN
aiti-416	102	20	ificat	ificat	NOUN
aiti-416	102	21	ion	ion	NOUN
aiti-416	102	22	problems	problem	NOUN
aiti-416	102	23	[	[	X
aiti-416	102	24	7	7	NUM
aiti-416	102	25	]	]	PUNCT
aiti-416	102	26	,	,	PUNCT
aiti-416	102	27	respectively	respectively	ADV
aiti-416	102	28	.	.	PUNCT
aiti-416	103	1	they	they	PRON
aiti-416	103	2	are	be	AUX
aiti-416	103	3	challenging	challenge	VERB
aiti-416	103	4	cases	case	NOUN
aiti-416	103	5	in	in	ADP
aiti-416	103	6	the	the	DET
aiti-416	103	7	field	field	NOUN
aiti-416	103	8	of	of	ADP
aiti-416	103	9	pattern	pattern	NOUN
aiti-416	103	10	recognition	recognition	NOUN
aiti-416	103	11	.	.	PUNCT
aiti-416	104	1	in	in	ADP
aiti-416	104	2	each	each	DET
aiti-416	104	3	case	case	NOUN
aiti-416	104	4	,	,	PUNCT
aiti-416	104	5	the	the	DET
aiti-416	104	6	training	training	NOUN
aiti-416	104	7	and	and	CCONJ
aiti-416	104	8	testing	testing	NOUN
aiti-416	104	9	datasets	dataset	NOUN
aiti-416	104	10	are	be	AUX
aiti-416	104	11	randomly	randomly	ADV
aiti-416	104	12	selected	select	VERB
aiti-416	104	13	.	.	PUNCT
aiti-416	105	1	we	we	PRON
aiti-416	105	2	will	will	AUX
aiti-416	105	3	repeat	repeat	VERB
aiti-416	105	4	each	each	DET
aiti-416	105	5	case	case	NOUN
aiti-416	105	6	for	for	ADP
aiti-416	105	7	10	10	NUM
aiti-416	105	8	times	time	NOUN
aiti-416	105	9	and	and	CCONJ
aiti-416	105	10	report	report	VERB
aiti-416	105	11	the	the	DET
aiti-416	105	12	averaged	average	VERB
aiti-416	105	13	overall	overall	ADJ
aiti-416	105	14	accuracy	accuracy	NOUN
aiti-416	105	15	(	(	PUNCT
aiti-416	105	16	oa	oa	INTJ
aiti-416	105	17	)	)	PUNCT
aiti-416	105	18	and	and	CCONJ
aiti-416	105	19	standard	standard	ADJ
aiti-416	105	20	deviation	deviation	NOUN
aiti-416	105	21	.	.	PUNCT
aiti-416	106	1	two	two	NUM
aiti-416	106	2	other	other	ADJ
aiti-416	106	3	linear	linear	ADJ
aiti-416	106	4	feature	feature	NOUN
aiti-416	106	5	extraction	extraction	NOUN
aiti-416	106	6	methods	method	NOUN
aiti-416	106	7	,	,	PUNCT
aiti-416	106	8	cnfe	cnfe	NOUN
aiti-416	106	9	and	and	CCONJ
aiti-416	106	10	nwfe	nwfe	PROPN
aiti-416	106	11	,	,	PUNCT
aiti-416	106	12	are	be	AUX
aiti-416	106	13	utilized	utilize	VERB
aiti-416	106	14	to	to	PART
aiti-416	106	15	compare	compare	VERB
aiti-416	106	16	the	the	DET
aiti-416	106	17	classification	classification	NOUN
aiti-416	106	18	performance	performance	NOUN
aiti-416	106	19	with	with	ADP
aiti-416	106	20	the	the	DET
aiti-416	106	21	proposed	propose	VERB
aiti-416	106	22	ssnlda	ssnlda	PROPN
aiti-416	106	23	.	.	PUNCT
aiti-416	107	1	the	the	DET
aiti-416	107	2	1	1	NUM
aiti-416	107	3	-	-	PUNCT
aiti-416	107	4	nearest	near	ADJ
aiti-416	107	5	neighbor	neighbor	NOUN
aiti-416	107	6	(	(	PUNCT
aiti-416	107	7	1nn	1nn	ADJ
aiti-416	107	8	)	)	PUNCT
aiti-416	107	9	classifier	classifier	NOUN
aiti-416	107	10	is	be	AUX
aiti-416	107	11	employed	employ	VERB
aiti-416	107	12	.	.	PUNCT
aiti-416	108	1	in	in	ADP
aiti-416	108	2	ssnlda	ssnlda	PROPN
aiti-416	108	3	,	,	PUNCT
aiti-416	108	4	we	we	PRON
aiti-416	108	5	adopt	adopt	VERB
aiti-416	108	6	a	a	DET
aiti-416	108	7	window	window	NOUN
aiti-416	108	8	to	to	PART
aiti-416	108	9	form	form	VERB
aiti-416	108	10	a	a	DET
aiti-416	108	11	local	local	ADJ
aiti-416	108	12	patch	patch	NOUN
aiti-416	108	13	and	and	CCONJ
aiti-416	108	14	the	the	DET
aiti-416	108	15	values	value	NOUN
aiti-416	108	16	of	of	ADV
aiti-416	108	17	,	,	PUNCT
aiti-416	108	18			PROPN
aiti-416	108	19	and	and	CCONJ
aiti-416	108	20			NOUN
aiti-416	108	21	are	be	AUX
aiti-416	108	22	set	set	VERB
aiti-416	108	23	as	as	ADP
aiti-416	108	24	0.5	0.5	NUM
aiti-416	108	25	.	.	PUNCT
aiti-416	109	1	advances	advance	NOUN
aiti-416	109	2	in	in	ADP
aiti-416	109	3	technology	technology	NOUN
aiti-416	109	4	innovation	innovation	NOUN
aiti-416	109	5	,	,	PUNCT
aiti-416	109	6	vol	vol	NOUN
aiti-416	109	7	.	.	PROPN
aiti-416	110	1	2	2	NUM
aiti-416	110	2	,	,	PUNCT
aiti-416	110	3	no	no	INTJ
aiti-416	110	4	.	.	NOUN
aiti-416	110	5	3	3	NUM
aiti-416	110	6	,	,	PUNCT
aiti-416	110	7	2016	2016	NUM
aiti-416	110	8	,	,	PUNCT
aiti-416	110	9	pp	pp	ADJ
aiti-416	110	10	.	.	PUNCT
aiti-416	111	1	68	68	NUM
aiti-416	111	2	72	72	NUM
aiti-416	111	3	71	71	NUM
aiti-416	111	4	copyright	copyright	NOUN
aiti-416	111	5	©	©	PROPN
aiti-416	111	6	taeti	taeti	PROPN
aiti-416	111	7	table	table	NOUN
aiti-416	111	8	1	1	NUM
aiti-416	111	9	graph	graph	NOUN
aiti-416	111	10	representations	representation	NOUN
aiti-416	111	11	class	class	NOUN
aiti-416	111	12	#	#	NOUN
aiti-416	111	13	pixels	pixel	NOUN
aiti-416	111	14	class	class	NOUN
aiti-416	111	15	name	name	NOUN
aiti-416	111	16	1	1	NUM
aiti-416	111	17	46	46	NUM
aiti-416	111	18	alfalfa	alfalfa	NOUN
aiti-416	111	19	2	2	NUM
aiti-416	111	20	1428	1428	NUM
aiti-416	111	21	corn	corn	NOUN
aiti-416	111	22	-	-	PUNCT
aiti-416	111	23	notill	notill	NOUN
aiti-416	111	24	3	3	NUM
aiti-416	111	25	830	830	NUM
aiti-416	111	26	corn	corn	NOUN
aiti-416	111	27	-	-	PUNCT
aiti-416	111	28	mintill	mintill	NOUN
aiti-416	111	29	4	4	NUM
aiti-416	111	30	237	237	NUM
aiti-416	111	31	corn	corn	NOUN
aiti-416	111	32	5	5	NUM
aiti-416	111	33	483	483	NUM
aiti-416	111	34	grass	grass	NOUN
aiti-416	111	35	-	-	PUNCT
aiti-416	111	36	pasture	pasture	NOUN
aiti-416	111	37	6	6	NUM
aiti-416	111	38	730	730	NUM
aiti-416	111	39	grass	grass	NOUN
aiti-416	111	40	-	-	PUNCT
aiti-416	111	41	trees	tree	NOUN
aiti-416	111	42	7	7	NUM
aiti-416	111	43	28	28	NUM
aiti-416	111	44	grass	grass	NOUN
aiti-416	111	45	-	-	PUNCT
aiti-416	111	46	pasture	pasture	NOUN
aiti-416	111	47	-	-	PUNCT
aiti-416	111	48	mowed	mow	VERB
aiti-416	111	49	8	8	NUM
aiti-416	111	50	478	478	NUM
aiti-416	111	51	hay	hay	NOUN
aiti-416	111	52	-	-	PUNCT
aiti-416	111	53	windrowed	windrowe	VERB
aiti-416	111	54	9	9	NUM
aiti-416	111	55	20	20	NUM
aiti-416	111	56	oats	oats	NOUN
aiti-416	111	57	10	10	NUM
aiti-416	111	58	972	972	NUM
aiti-416	111	59	soybean	soybean	NOUN
aiti-416	111	60	-	-	PUNCT
aiti-416	111	61	notill	notill	NOUN
aiti-416	111	62	11	11	NUM
aiti-416	111	63	2455	2455	NUM
aiti-416	111	64	soybean	soybean	NOUN
aiti-416	111	65	-	-	PUNCT
aiti-416	111	66	mintill	mintill	NOUN
aiti-416	111	67	12	12	NUM
aiti-416	111	68	593	593	NUM
aiti-416	111	69	soybean	soybean	NOUN
aiti-416	111	70	-	-	PUNCT
aiti-416	111	71	clean	clean	ADJ
aiti-416	111	72	13	13	NUM
aiti-416	111	73	205	205	NUM
aiti-416	111	74	wheat	wheat	NOUN
aiti-416	111	75	14	14	NUM
aiti-416	111	76	1265	1265	NUM
aiti-416	111	77	woods	wood	NOUN
aiti-416	111	78	15	15	NUM
aiti-416	111	79	386	386	NUM
aiti-416	111	80	buildings	building	NOUN
aiti-416	111	81	-	-	PUNCT
aiti-416	111	82	grass	grass	NOUN
aiti-416	111	83	-	-	PUNCT
aiti-416	111	84	trees	tree	NOUN
aiti-416	111	85	-	-	PUNCT
aiti-416	111	86	drives	drive	NOUN
aiti-416	111	87	16	16	NUM
aiti-416	111	88	93	93	NUM
aiti-416	111	89	stone	stone	NOUN
aiti-416	111	90	-	-	PUNCT
aiti-416	111	91	steel	steel	NOUN
aiti-416	111	92	-	-	PUNCT
aiti-416	111	93	towers	tower	NOUN
aiti-416	111	94	3	3	NUM
aiti-416	111	95	.	.	NOUN
aiti-416	111	96	results	result	NOUN
aiti-416	111	97	and	and	CCONJ
aiti-416	111	98	discussion	discussion	NOUN
aiti-416	111	99	table	table	NOUN
aiti-416	111	100	2	2	NUM
aiti-416	111	101	lists	list	VERB
aiti-416	111	102	the	the	DET
aiti-416	111	103	best	good	ADJ
aiti-416	111	104	classification	classification	NOUN
aiti-416	111	105	accuracies	accuracy	NOUN
aiti-416	111	106	of	of	ADP
aiti-416	111	107	the	the	DET
aiti-416	111	108	three	three	NUM
aiti-416	111	109	cases	case	NOUN
aiti-416	111	110	of	of	ADP
aiti-416	111	111	the	the	DET
aiti-416	111	112	indian	indian	ADJ
aiti-416	111	113	pines	pine	NOUN
aiti-416	111	114	dataset	dataset	VERB
aiti-416	111	115	.	.	PUNCT
aiti-416	112	1	as	as	SCONJ
aiti-416	112	2	we	we	PRON
aiti-416	112	3	can	can	AUX
aiti-416	112	4	see	see	VERB
aiti-416	112	5	from	from	ADP
aiti-416	112	6	the	the	DET
aiti-416	112	7	table	table	NOUN
aiti-416	112	8	,	,	PUNCT
aiti-416	112	9	1nn	1nn	ADJ
aiti-416	112	10	classifier	classifier	NOUN
aiti-416	112	11	with	with	ADP
aiti-416	112	12	ssnlda	ssnlda	NOUN
aiti-416	112	13	features	feature	NOUN
aiti-416	112	14	can	can	AUX
aiti-416	112	15	achieve	achieve	VERB
aiti-416	112	16	better	well	ADJ
aiti-416	112	17	results	result	NOUN
aiti-416	112	18	than	than	ADP
aiti-416	112	19	with	with	ADP
aiti-416	112	20	cnfe	cnfe	NOUN
aiti-416	112	21	and	and	CCONJ
aiti-416	112	22	nwfe	nwfe	ADJ
aiti-416	112	23	features	feature	NOUN
aiti-416	112	24	.	.	PUNCT
aiti-416	113	1	ssnlda	ssnlda	NOUN
aiti-416	113	2	provides	provide	VERB
aiti-416	113	3	about	about	ADV
aiti-416	113	4	6	6	NUM
aiti-416	113	5	%	%	NOUN
aiti-416	113	6	improvement	improvement	NOUN
aiti-416	113	7	as	as	SCONJ
aiti-416	113	8	compared	compare	VERB
aiti-416	113	9	with	with	ADP
aiti-416	113	10	the	the	DET
aiti-416	113	11	other	other	ADJ
aiti-416	113	12	two	two	NUM
aiti-416	113	13	methods	method	NOUN
aiti-416	113	14	.	.	PUNCT
aiti-416	114	1	meanwhile	meanwhile	ADV
aiti-416	114	2	,	,	PUNCT
aiti-416	114	3	the	the	DET
aiti-416	114	4	standard	standard	ADJ
aiti-416	114	5	deviations	deviation	NOUN
aiti-416	114	6	is	be	AUX
aiti-416	114	7	smaller	small	ADJ
aiti-416	114	8	as	as	ADV
aiti-416	114	9	well	well	ADV
aiti-416	114	10	.	.	PUNCT
aiti-416	115	1	fig	fig	NOUN
aiti-416	115	2	.	.	PUNCT
aiti-416	116	1	2	2	NUM
aiti-416	116	2	demonstrates	demonstrate	VERB
aiti-416	116	3	the	the	DET
aiti-416	116	4	variations	variation	NOUN
aiti-416	116	5	of	of	ADP
aiti-416	116	6	oas	oas	PROPN
aiti-416	116	7	with	with	ADP
aiti-416	116	8	the	the	DET
aiti-416	116	9	reduced	reduce	VERB
aiti-416	116	10	dimensions	dimension	NOUN
aiti-416	116	11	where	where	SCONJ
aiti-416	116	12	5	5	NUM
aiti-416	116	13	,	,	PUNCT
aiti-416	116	14	10	10	NUM
aiti-416	116	15	and	and	CCONJ
aiti-416	116	16	20	20	NUM
aiti-416	116	17	training	training	NOUN
aiti-416	116	18	samples	sample	NOUN
aiti-416	116	19	are	be	AUX
aiti-416	116	20	utilized	utilize	VERB
aiti-416	116	21	.	.	PUNCT
aiti-416	117	1	the	the	DET
aiti-416	117	2	proposed	propose	VERB
aiti-416	117	3	ssnlda	ssnlda	NOUN
aiti-416	117	4	significantly	significantly	ADV
aiti-416	117	5	outperform	outperform	VERB
aiti-416	117	6	the	the	DET
aiti-416	117	7	other	other	ADJ
aiti-416	117	8	two	two	NUM
aiti-416	117	9	methods	method	NOUN
aiti-416	117	10	.	.	PUNCT
aiti-416	118	1	fig	fig	NOUN
aiti-416	118	2	.	.	PUNCT
aiti-416	119	1	3	3	NUM
aiti-416	119	2	shows	show	VERB
aiti-416	119	3	the	the	DET
aiti-416	119	4	classification	classification	NOUN
aiti-416	119	5	map	map	NOUN
aiti-416	119	6	of	of	ADP
aiti-416	119	7	the	the	DET
aiti-416	119	8	indian	indian	ADJ
aiti-416	119	9	pines	pine	NOUN
aiti-416	119	10	scene	scene	NOUN
aiti-416	119	11	using	use	VERB
aiti-416	119	12	1nn	1nn	ADJ
aiti-416	119	13	classifier	classifier	NOUN
aiti-416	119	14	for	for	ADP
aiti-416	119	15	20	20	NUM
aiti-416	119	16	training	training	NOUN
aiti-416	119	17	samples	sample	NOUN
aiti-416	119	18	case	case	NOUN
aiti-416	119	19	.	.	PUNCT
aiti-416	120	1	the	the	DET
aiti-416	120	2	dimensionality	dimensionality	NOUN
aiti-416	120	3	of	of	ADP
aiti-416	120	4	the	the	DET
aiti-416	120	5	reduced	reduce	VERB
aiti-416	120	6	space	space	NOUN
aiti-416	120	7	is	be	AUX
aiti-416	120	8	30	30	NUM
aiti-416	120	9	.	.	PUNCT
aiti-416	121	1	as	as	SCONJ
aiti-416	121	2	shown	show	VERB
aiti-416	121	3	in	in	ADP
aiti-416	121	4	fig	fig	NOUN
aiti-416	121	5	.	.	PUNCT
aiti-416	122	1	3	3	NUM
aiti-416	122	2	,	,	PUNCT
aiti-416	122	3	the	the	DET
aiti-416	122	4	1nn	1nn	ADJ
aiti-416	122	5	classifier	classifier	NOUN
aiti-416	122	6	with	with	ADP
aiti-416	122	7	ssnlda	ssnlda	NOUN
aiti-416	122	8	feature	feature	NOUN
aiti-416	122	9	can	can	AUX
aiti-416	122	10	get	get	VERB
aiti-416	122	11	better	well	ADJ
aiti-416	122	12	results	result	NOUN
aiti-416	122	13	.	.	PUNCT
aiti-416	123	1	table	table	NOUN
aiti-416	123	2	2	2	NUM
aiti-416	123	3	classification	classification	NOUN
aiti-416	123	4	accuracies	accuracy	NOUN
aiti-416	123	5	(	(	PUNCT
aiti-416	123	6	in	in	ADP
aiti-416	123	7	percent	percent	NOUN
aiti-416	123	8	)	)	PUNCT
aiti-416	123	9	in	in	ADP
aiti-416	123	10	indian	indian	ADJ
aiti-416	123	11	pines	pine	NOUN
aiti-416	123	12	scene	scene	NOUN
aiti-416	123	13	case	case	NOUN
aiti-416	123	14	fe	fe	X
aiti-416	123	15	oa±std	oa±std	NOUN
aiti-416	123	16	(	(	PUNCT
aiti-416	123	17	#	#	SYM
aiti-416	123	18	features	feature	NOUN
aiti-416	123	19	)	)	PUNCT
aiti-416	123	20	nwfe	nwfe	PROPN
aiti-416	123	21	63.03±4.68(28	63.03±4.68(28	NUM
aiti-416	123	22	)	)	PUNCT
aiti-416	123	23	cnfe	cnfe	NOUN
aiti-416	123	24	65.10±4.91(15	65.10±4.91(15	NUM
aiti-416	123	25	)	)	PUNCT
aiti-416	123	26	ssnlda	ssnlda	NOUN
aiti-416	123	27	71.05±3.28(28	71.05±3.28(28	NUM
aiti-416	123	28	)	)	PUNCT
aiti-416	123	29	nwfe	nwfe	NOUN
aiti-416	123	30	72.82±2.28(29	72.82±2.28(29	NUM
aiti-416	123	31	)	)	PUNCT
aiti-416	123	32	cnfe	cnfe	NOUN
aiti-416	123	33	75.67±1.77(29	75.67±1.77(29	NUM
aiti-416	123	34	)	)	PUNCT
aiti-416	123	35	ssnlda	ssnlda	NOUN
aiti-416	123	36	81.79±1.81(30	81.79±1.81(30	NUM
aiti-416	123	37	)	)	PUNCT
aiti-416	123	38	nwfe	nwfe	ADJ
aiti-416	123	39	80.15±1.76(28	80.15±1.76(28	NUM
aiti-416	123	40	)	)	PUNCT
aiti-416	123	41	cnfe	cnfe	NOUN
aiti-416	123	42	81.93±2.17(28	81.93±2.17(28	NUM
aiti-416	123	43	)	)	PUNCT
aiti-416	123	44	ssnlda	ssnlda	NOUN
aiti-416	123	45	88.08±1.21(30	88.08±1.21(30	NUM
aiti-416	123	46	)	)	PUNCT
aiti-416	123	47	fig	fig	NOUN
aiti-416	123	48	.	.	PUNCT
aiti-416	124	1	2	2	NUM
aiti-416	124	2	classification	classification	NOUN
aiti-416	124	3	results	result	NOUN
aiti-416	124	4	on	on	ADP
aiti-416	124	5	the	the	DET
aiti-416	124	6	indian	indian	ADJ
aiti-416	124	7	pines	pine	NOUN
aiti-416	124	8	dataset	dataset	VERB
aiti-416	124	9	for	for	ADP
aiti-416	124	10	the	the	DET
aiti-416	124	11	three	three	NUM
aiti-416	124	12	feature	feature	NOUN
aiti-416	124	13	extraction	extraction	NOUN
aiti-416	124	14	method	method	NOUN
aiti-416	124	15	.	.	PUNCT
aiti-416	125	1	(	(	PUNCT
aiti-416	125	2	a	a	X
aiti-416	125	3	)	)	PUNCT
aiti-416	125	4	nwfe	nwfe	NOUN
aiti-416	125	5	(	(	PUNCT
aiti-416	125	6	b	b	NOUN
aiti-416	125	7	)	)	PUNCT
aiti-416	125	8	cnfe	cnfe	NOUN
aiti-416	125	9	(	(	PUNCT
aiti-416	125	10	c	c	NOUN
aiti-416	125	11	)	)	PUNCT
aiti-416	125	12	ssnlda	ssnlda	NOUN
aiti-416	125	13	(	(	PUNCT
aiti-416	125	14	d	d	NOUN
aiti-416	125	15	)	)	PUNCT
aiti-416	125	16	ground	ground	NOUN
aiti-416	125	17	-	-	PUNCT
aiti-416	125	18	truth	truth	NOUN
aiti-416	125	19	fig	fig	NOUN
aiti-416	125	20	.	.	PUNCT
aiti-416	126	1	3	3	NUM
aiti-416	126	2	classification	classification	NOUN
aiti-416	126	3	maps	map	NOUN
aiti-416	126	4	of	of	ADP
aiti-416	126	5	the	the	DET
aiti-416	126	6	indian	indian	ADJ
aiti-416	126	7	pines	pine	NOUN
aiti-416	126	8	scene	scene	NOUN
aiti-416	126	9	using	use	VERB
aiti-416	126	10	1nn	1nn	ADJ
aiti-416	126	11	classifier	classifier	NOUN
aiti-416	126	12	for	for	ADP
aiti-416	126	13	20	20	NUM
aiti-416	126	14	training	training	NOUN
aiti-416	126	15	samples	sample	NOUN
aiti-416	126	16	case	case	NOUN
aiti-416	126	17	.	.	PUNCT
aiti-416	127	1	4	4	X
aiti-416	127	2	.	.	X
aiti-416	127	3	conclusions	conclusion	NOUN
aiti-416	127	4	in	in	ADP
aiti-416	127	5	this	this	DET
aiti-416	127	6	paper	paper	NOUN
aiti-416	127	7	,	,	PUNCT
aiti-416	127	8	a	a	DET
aiti-416	127	9	spectral	spectral	ADJ
aiti-416	127	10	and	and	CCONJ
aiti-416	127	11	spatial	spatial	ADJ
aiti-416	127	12	information	information	NOUN
aiti-416	127	13	-	-	PUNCT
aiti-416	127	14	based	base	VERB
aiti-416	127	15	nonparametric	nonparametric	NOUN
aiti-416	127	16	feature	feature	NOUN
aiti-416	127	17	extraction	extraction	NOUN
aiti-416	127	18	ssnlda	ssnlda	NOUN
aiti-416	127	19	is	be	AUX
aiti-416	127	20	proposed	propose	VERB
aiti-416	127	21	.	.	PUNCT
aiti-416	128	1	from	from	ADP
aiti-416	128	2	the	the	DET
aiti-416	128	3	above	above	ADJ
aiti-416	128	4	results	result	NOUN
aiti-416	128	5	,	,	PUNCT
aiti-416	128	6	we	we	PRON
aiti-416	128	7	find	find	VERB
aiti-416	128	8	ssnlda	ssnlda	NOUN
aiti-416	128	9	can	can	AUX
aiti-416	128	10	achieve	achieve	VERB
aiti-416	128	11	more	more	ADV
aiti-416	128	12	stable	stable	ADJ
aiti-416	128	13	and	and	CCONJ
aiti-416	128	14	effective	effective	ADJ
aiti-416	128	15	results	result	NOUN
aiti-416	128	16	.	.	PUNCT
aiti-416	129	1	in	in	ADP
aiti-416	129	2	most	most	ADJ
aiti-416	129	3	of	of	ADP
aiti-416	129	4	cases	case	NOUN
aiti-416	129	5	,	,	PUNCT
aiti-416	129	6	1nn	1nn	ADJ
aiti-416	129	7	classifier	classifier	NOUN
aiti-416	129	8	with	with	ADP
aiti-416	129	9	ssnlda	ssnlda	NOUN
aiti-416	129	10	features	feature	NOUN
aiti-416	129	11	can	can	AUX
aiti-416	129	12	obtain	obtain	VERB
aiti-416	129	13	better	well	ADJ
aiti-416	129	14	results	result	NOUN
aiti-416	129	15	than	than	ADP
aiti-416	129	16	other	other	ADJ
aiti-416	129	17	spectral	spectral	NOUN
aiti-416	129	18	-	-	PUNCT
aiti-416	129	19	based	base	VERB
aiti-416	129	20	fe	fe	PROPN
aiti-416	129	21	,	,	PUNCT
aiti-416	129	22	cnfe	cnfe	NOUN
aiti-416	129	23	and	and	CCONJ
aiti-416	129	24	nlda	nlda	ADJ
aiti-416	129	25	,	,	PUNCT
aiti-416	129	26	particularly	particularly	ADV
aiti-416	129	27	when	when	SCONJ
aiti-416	129	28	the	the	DET
aiti-416	129	29	training	training	NOUN
aiti-416	129	30	sample	sample	NOUN
aiti-416	129	31	size	size	NOUN
aiti-416	129	32	is	be	AUX
aiti-416	129	33	quite	quite	ADV
aiti-416	129	34	small	small	ADJ
aiti-416	129	35	.	.	PUNCT
aiti-416	130	1	acknowledgement	acknowledgement	NOUN
aiti-416	130	2	this	this	DET
aiti-416	130	3	study	study	NOUN
aiti-416	130	4	is	be	AUX
aiti-416	130	5	supported	support	VERB
aiti-416	130	6	by	by	ADP
aiti-416	130	7	ministry	ministry	PROPN
aiti-416	130	8	of	of	ADP
aiti-416	130	9	science	science	NOUN
aiti-416	130	10	and	and	CCONJ
aiti-416	130	11	technology	technology	NOUN
aiti-416	130	12	,	,	PUNCT
aiti-416	130	13	r.o.c	r.o.c	NOUN
aiti-416	130	14	.	.	PROPN
aiti-416	130	15	,	,	PUNCT
aiti-416	130	16	under	under	ADP
aiti-416	130	17	the	the	DET
aiti-416	130	18	contract	contract	NOUN
aiti-416	130	19	number	number	NOUN
aiti-416	130	20	of	of	ADP
aiti-416	130	21	most	most	ADJ
aiti-416	130	22	104	104	NUM
aiti-416	130	23	-	-	PUNCT
aiti-416	130	24	2221	2221	NUM
aiti-416	130	25	-	-	PUNCT
aiti-416	130	26	e-142005	e-142005	PROPN
aiti-416	130	27	.	.	PUNCT
aiti-416	131	1	references	reference	NOUN
aiti-416	131	2	[	[	X
aiti-416	131	3	1	1	NUM
aiti-416	131	4	]	]	PUNCT
aiti-416	131	5	k.	k.	PROPN
aiti-416	131	6	fukunaga	fukunaga	PROPN
aiti-416	131	7	,	,	PUNCT
aiti-416	131	8	introduction	introduction	NOUN
aiti-416	131	9	to	to	ADP
aiti-416	131	10	statistical	statistical	ADJ
aiti-416	131	11	pattern	pattern	NOUN
aiti-416	131	12	recognition	recognition	NOUN
aiti-416	131	13	,	,	PUNCT
aiti-416	131	14	2nd	2nd	PROPN
aiti-416	131	15	ed	ed	NOUN
aiti-416	131	16	.	.	PROPN
aiti-416	131	17	,	,	PUNCT
aiti-416	131	18	new	new	PROPN
aiti-416	131	19	york	york	PROPN
aiti-416	131	20	:	:	PUNCT
aiti-416	131	21	academic	academic	ADJ
aiti-416	131	22	press	press	NOUN
aiti-416	131	23	,	,	PUNCT
aiti-416	131	24	1990	1990	NUM
aiti-416	131	25	.	.	PUNCT
aiti-416	132	1	advances	advance	NOUN
aiti-416	132	2	in	in	ADP
aiti-416	132	3	technology	technology	NOUN
aiti-416	132	4	innovation	innovation	NOUN
aiti-416	132	5	,	,	PUNCT
aiti-416	132	6	vol	vol	NOUN
aiti-416	132	7	.	.	PROPN
aiti-416	133	1	2	2	NUM
aiti-416	133	2	,	,	PUNCT
aiti-416	133	3	no	no	INTJ
aiti-416	133	4	.	.	NOUN
aiti-416	133	5	3	3	NUM
aiti-416	133	6	,	,	PUNCT
aiti-416	133	7	2016	2016	NUM
aiti-416	133	8	,	,	PUNCT
aiti-416	133	9	pp	pp	ADJ
aiti-416	133	10	.	.	PUNCT
aiti-416	134	1	68	68	NUM
aiti-416	134	2	72	72	NUM
aiti-416	134	3	72	72	NUM
aiti-416	134	4	copyright	copyright	NOUN
aiti-416	134	5	©	©	ADP
aiti-416	134	6	taeti	taeti	NOUN
aiti-416	135	1	[	[	X
aiti-416	135	2	2	2	NUM
aiti-416	135	3	]	]	PUNCT
aiti-416	135	4	r.	r.	PROPN
aiti-416	135	5	o.	o.	PROPN
aiti-416	135	6	duda	duda	PROPN
aiti-416	135	7	,	,	PUNCT
aiti-416	135	8	p.	p.	PROPN
aiti-416	135	9	e.	e.	PROPN
aiti-416	135	10	hart	hart	PROPN
aiti-416	135	11	,	,	PUNCT
aiti-416	135	12	and	and	CCONJ
aiti-416	135	13	d.	d.	PROPN
aiti-416	135	14	g.	g.	PROPN
aiti-416	135	15	stork	stork	PROPN
aiti-416	135	16	,	,	PUNCT
aiti-416	135	17	pattern	pattern	NOUN
aiti-416	135	18	classification	classification	NOUN
aiti-416	135	19	,	,	PUNCT
aiti-416	135	20	2nd	2nd	ADJ
aiti-416	135	21	ed	ed	NOUN
aiti-416	135	22	.	.	PROPN
aiti-416	135	23	,	,	PUNCT
aiti-416	135	24	new	new	PROPN
aiti-416	135	25	york	york	PROPN
aiti-416	135	26	:	:	PUNCT
aiti-416	135	27	john	john	PROPN
aiti-416	135	28	wiley	wiley	PROPN
aiti-416	135	29	&	&	CCONJ
aiti-416	135	30	sons	son	NOUN
aiti-416	135	31	,	,	PUNCT
aiti-416	135	32	2001	2001	NUM
aiti-416	135	33	.	.	PUNCT
aiti-416	136	1	[	[	X
aiti-416	136	2	3	3	X
aiti-416	136	3	]	]	PUNCT
aiti-416	136	4	s.	s.	PROPN
aiti-416	136	5	j.	j.	PROPN
aiti-416	136	6	raudys	raudys	PROPN
aiti-416	136	7	and	and	CCONJ
aiti-416	136	8	a.	a.	PROPN
aiti-416	136	9	k.	k.	PROPN
aiti-416	136	10	jain	jain	PROPN
aiti-416	136	11	,	,	PUNCT
aiti-416	136	12	“	"	PUNCT
aiti-416	136	13	small	small	ADJ
aiti-416	136	14	sample	sample	NOUN
aiti-416	136	15	size	size	NOUN
aiti-416	136	16	effects	effect	NOUN
aiti-416	136	17	in	in	ADP
aiti-416	136	18	statistical	statistical	ADJ
aiti-416	136	19	pattern	pattern	NOUN
aiti-416	136	20	recognition	recognition	NOUN
aiti-416	136	21	:	:	PUNCT
aiti-416	136	22	recommendations	recommendation	NOUN
aiti-416	136	23	for	for	ADP
aiti-416	136	24	practitioners	practitioner	NOUN
aiti-416	136	25	,	,	PUNCT
aiti-416	136	26	”	"	PUNCT
aiti-416	136	27	ieee	ieee	NOUN
aiti-416	136	28	transaction	transaction	NOUN
aiti-416	136	29	on	on	ADP
aiti-416	136	30	pattern	pattern	NOUN
aiti-416	136	31	analysis	analysis	NOUN
aiti-416	136	32	and	and	CCONJ
aiti-416	136	33	machine	machine	NOUN
aiti-416	136	34	intelligence	intelligence	NOUN
aiti-416	136	35	,	,	PUNCT
aiti-416	136	36	vol	vol	NOUN
aiti-416	136	37	.	.	PROPN
aiti-416	136	38	13	13	NUM
aiti-416	137	1	no	no	NOUN
aiti-416	137	2	.	.	NOUN
aiti-416	138	1	3	3	NUM
aiti-416	138	2	,	,	PUNCT
aiti-416	138	3	pp	pp	ADJ
aiti-416	138	4	.	.	PUNCT
aiti-416	139	1	252	252	NUM
aiti-416	139	2	-	-	SYM
aiti-416	139	3	264	264	NUM
aiti-416	139	4	,	,	PUNCT
aiti-416	139	5	1991	1991	NUM
aiti-416	139	6	.	.	PUNCT
aiti-416	140	1	[	[	X
aiti-416	140	2	4	4	X
aiti-416	140	3	]	]	X
aiti-416	140	4	d.	d.	PROPN
aiti-416	140	5	a.	a.	NOUN
aiti-416	140	6	landgrebe	landgrebe	PROPN
aiti-416	140	7	,	,	PUNCT
aiti-416	140	8	signal	signal	ADJ
aiti-416	140	9	theory	theory	NOUN
aiti-416	140	10	methods	method	NOUN
aiti-416	140	11	in	in	ADP
aiti-416	140	12	multispectral	multispectral	ADJ
aiti-416	140	13	remote	remote	ADJ
aiti-416	140	14	sensing	sensing	NOUN
aiti-416	140	15	,	,	PUNCT
aiti-416	140	16	new	new	PROPN
aiti-416	140	17	jersey	jersey	PROPN
aiti-416	140	18	:	:	PUNCT
aiti-416	140	19	john	john	PROPN
aiti-416	140	20	wiley	wiley	PROPN
aiti-416	140	21	and	and	CCONJ
aiti-416	140	22	sons	son	NOUN
aiti-416	140	23	,	,	PUNCT
aiti-416	140	24	2003	2003	NUM
aiti-416	140	25	.	.	PUNCT
aiti-416	141	1	[	[	X
aiti-416	141	2	5	5	X
aiti-416	141	3	]	]	PUNCT
aiti-416	141	4	p.	p.	NOUN
aiti-416	141	5	k.	k.	PROPN
aiti-416	141	6	varshney	varshney	NOUN
aiti-416	141	7	and	and	CCONJ
aiti-416	141	8	m.	m.	NOUN
aiti-416	141	9	k	k	PROPN
aiti-416	141	10	arora	arora	PROPN
aiti-416	141	11	,	,	PUNCT
aiti-416	141	12	advanced	advanced	ADJ
aiti-416	141	13	image	image	NOUN
aiti-416	141	14	processing	processing	NOUN
aiti-416	141	15	techniques	technique	NOUN
aiti-416	141	16	for	for	ADP
aiti-416	141	17	remotely	remotely	ADV
aiti-416	141	18	sensed	sense	VERB
aiti-416	141	19	hyperspectral	hyperspectral	ADJ
aiti-416	141	20	data	datum	NOUN
aiti-416	141	21	,	,	PUNCT
aiti-416	141	22	new	new	PROPN
aiti-416	141	23	york	york	PROPN
aiti-416	141	24	:	:	PUNCT
aiti-416	141	25	springer	springer	NOUN
aiti-416	141	26	,	,	PUNCT
aiti-416	141	27	2004	2004	NUM
aiti-416	141	28	.	.	PUNCT
aiti-416	142	1	[	[	X
aiti-416	142	2	6	6	NUM
aiti-416	142	3	]	]	PUNCT
aiti-416	142	4	b.	b.	PROPN
aiti-416	142	5	c.	c.	PROPN
aiti-416	142	6	kuo	kuo	PROPN
aiti-416	142	7	and	and	CCONJ
aiti-416	142	8	d.	d.	PROPN
aiti-416	142	9	a.	a.	NOUN
aiti-416	142	10	landgrebe	landgrebe	PROPN
aiti-416	142	11	,	,	PUNCT
aiti-416	142	12	“	"	PUNCT
aiti-416	142	13	nonparametric	nonparametric	NOUN
aiti-416	142	14	weighted	weight	VERB
aiti-416	142	15	feature	feature	NOUN
aiti-416	142	16	extract	extract	NOUN
aiti-416	142	17	ion	ion	NOUN
aiti-416	142	18	for	for	ADP
aiti-416	142	19	classification	classification	NOUN
aiti-416	142	20	,	,	PUNCT
aiti-416	142	21	”	"	PUNCT
aiti-416	142	22	ieee	ieee	NOUN
aiti-416	142	23	transaction	transaction	NOUN
aiti-416	142	24	on	on	ADP
aiti-416	142	25	geoscience	geoscience	NOUN
aiti-416	142	26	and	and	CCONJ
aiti-416	142	27	remote	remote	ADJ
aiti-416	142	28	sensing	sensing	NOUN
aiti-416	142	29	,	,	PUNCT
aiti-416	142	30	vol	vol	NOUN
aiti-416	142	31	.	.	PROPN
aiti-416	143	1	42	42	NUM
aiti-416	143	2	,	,	PUNCT
aiti-416	143	3	no	no	INTJ
aiti-416	143	4	.	.	NOUN
aiti-416	143	5	5	5	NUM
aiti-416	143	6	,	,	PUNCT
aiti-416	143	7	pp	pp	ADJ
aiti-416	143	8	.	.	PUNCT
aiti-416	144	1	1096	1096	NUM
aiti-416	144	2	-	-	SYM
aiti-416	144	3	1105	1105	NUM
aiti-416	144	4	,	,	PUNCT
aiti-416	144	5	2004	2004	NUM
aiti-416	144	6	.	.	PUNCT
aiti-416	145	1	[	[	X
aiti-416	145	2	7	7	X
aiti-416	145	3	]	]	X
aiti-416	145	4	j.	j.	PROPN
aiti-416	145	5	m.	m.	PROPN
aiti-416	145	6	yang	yang	PROPN
aiti-416	145	7	,	,	PUNCT
aiti-416	145	8	p.	p.	PROPN
aiti-416	145	9	t.	t.	PROPN
aiti-416	145	10	yu	yu	PROPN
aiti-416	145	11	,	,	PUNCT
aiti-416	145	12	and	and	CCONJ
aiti-416	145	13	b.	b.	PROPN
aiti-416	145	14	c.	c.	PROPN
aiti-416	145	15	kuo	kuo	PROPN
aiti-416	145	16	,	,	PUNCT
aiti-416	145	17	“	"	PUNCT
aiti-416	145	18	a	a	DET
aiti-416	145	19	nonparametric	nonparametric	NOUN
aiti-416	145	20	feature	feature	NOUN
aiti-416	145	21	extraction	extraction	NOUN
aiti-416	145	22	and	and	CCONJ
aiti-416	145	23	its	its	PRON
aiti-416	145	24	application	application	NOUN
aiti-416	145	25	to	to	ADP
aiti-416	145	26	nearest	near	ADJ
aiti-416	145	27	neighbor	neighbor	NOUN
aiti-416	145	28	classification	classification	NOUN
aiti-416	145	29	for	for	ADP
aiti-416	145	30	hyperspectral	hyperspectral	ADJ
aiti-416	145	31	image	image	NOUN
aiti-416	145	32	data	datum	NOUN
aiti-416	145	33	,	,	PUNCT
aiti-416	145	34	”	"	PUNCT
aiti-416	145	35	ieee	ieee	NOUN
aiti-416	145	36	transactions	transaction	NOUN
aiti-416	145	37	on	on	ADP
aiti-416	145	38	geoscience	geoscience	NOUN
aiti-416	145	39	and	and	CCONJ
aiti-416	145	40	remote	remote	ADJ
aiti-416	145	41	sensing	sensing	NOUN
aiti-416	145	42	,	,	PUNCT
aiti-416	145	43	vol	vol	NOUN
aiti-416	145	44	.	.	PROPN
aiti-416	146	1	48	48	NUM
aiti-416	146	2	,	,	PUNCT
aiti-416	146	3	no	no	INTJ
aiti-416	146	4	.	.	NOUN
aiti-416	146	5	3	3	NUM
aiti-416	146	6	,	,	PUNCT
aiti-416	146	7	pp	pp	ADJ
aiti-416	146	8	.	.	PUNCT
aiti-416	147	1	1279	1279	NUM
aiti-416	147	2	-	-	SYM
aiti-416	147	3	1293	1293	NUM
aiti-416	147	4	,	,	PUNCT
aiti-416	147	5	2010	2010	NUM
aiti-416	147	6	.	.	PUNCT
aiti-416	148	1	[	[	X
aiti-416	148	2	8	8	NUM
aiti-416	148	3	]	]	X
aiti-416	148	4	y.	y.	PROPN
aiti-416	148	5	zhou	zhou	PROPN
aiti-416	148	6	,	,	PUNCT
aiti-416	148	7	j.	j.	PROPN
aiti-416	148	8	peng	peng	PROPN
aiti-416	148	9	,	,	PUNCT
aiti-416	148	10	and	and	CCONJ
aiti-416	148	11	c.	c.	PROPN
aiti-416	148	12	l.	l.	PROPN
aiti-416	148	13	ph	ph	PROPN
aiti-416	148	14	ilip	ilip	PROPN
aiti-416	148	15	chen	chen	PROPN
aiti-416	148	16	,	,	PUNCT
aiti-416	148	17	“	"	PUNCT
aiti-416	148	18	dimension	dimension	NOUN
aiti-416	148	19	reduction	reduction	NOUN
aiti-416	148	20	using	use	VERB
aiti-416	148	21	spatial	spatial	ADJ
aiti-416	148	22	and	and	CCONJ
aiti-416	148	23	spectral	spectral	ADJ
aiti-416	148	24	regularized	regularize	VERB
aiti-416	148	25	local	local	ADJ
aiti-416	148	26	discriminant	discriminant	NOUN
aiti-416	148	27	embedding	embed	VERB
aiti-416	148	28	for	for	ADP
aiti-416	148	29	hyperspectral	hyperspectral	ADJ
aiti-416	148	30	image	image	NOUN
aiti-416	148	31	classification	classification	NOUN
aiti-416	148	32	,	,	PUNCT
aiti-416	148	33	”	"	PUNCT
aiti-416	148	34	ieee	ieee	NOUN
aiti-416	148	35	transactions	transaction	NOUN
aiti-416	148	36	on	on	ADP
aiti-416	148	37	geoscience	geoscience	NOUN
aiti-416	148	38	and	and	CCONJ
aiti-416	148	39	remote	remote	ADJ
aiti-416	148	40	sensing	sensing	NOUN
aiti-416	148	41	,	,	PUNCT
aiti-416	148	42	vol	vol	NOUN
aiti-416	148	43	.	.	PROPN
aiti-416	149	1	53	53	NUM
aiti-416	149	2	,	,	PUNCT
aiti-416	149	3	no	no	INTJ
aiti-416	149	4	.	.	NOUN
aiti-416	149	5	2	2	NUM
aiti-416	149	6	,	,	PUNCT
aiti-416	149	7	pp	pp	ADJ
aiti-416	149	8	.	.	PUNCT
aiti-416	149	9	1082	1082	NUM
aiti-416	149	10	-	-	SYM
aiti-416	149	11	1095	1095	NUM
aiti-416	149	12	,	,	PUNCT
aiti-416	149	13	2015	2015	NUM
aiti-416	149	14	.	.	PUNCT
aiti-416	150	1	[	[	X
aiti-416	150	2	9	9	NUM
aiti-416	150	3	]	]	X
aiti-416	150	4	h.	h.	PROPN
aiti-416	150	5	pu	pu	PROPN
aiti-416	150	6	,	,	PUNCT
aiti-416	150	7	z.	z.	PROPN
aiti-416	150	8	chen	chen	PROPN
aiti-416	150	9	,	,	PUNCT
aiti-416	150	10	b.	b.	PROPN
aiti-416	150	11	wang	wang	PROPN
aiti-416	150	12	,	,	PUNCT
aiti-416	150	13	and	and	CCONJ
aiti-416	150	14	g.	g.	PROPN
aiti-416	150	15	m.	m.	PROPN
aiti-416	150	16	jiang	jiang	PROPN
aiti-416	150	17	,	,	PUNCT
aiti-416	150	18	“	"	PUNCT
aiti-416	150	19	a	a	DET
aiti-416	150	20	novel	novel	ADJ
aiti-416	150	21	spatial	spatial	ADJ
aiti-416	150	22	–	–	PUNCT
aiti-416	150	23	spectral	spectral	ADJ
aiti-416	150	24	similarity	similarity	NOUN
aiti-416	150	25	measure	measure	NOUN
aiti-416	150	26	for	for	ADP
aiti-416	150	27	dimensionality	dimensionality	NOUN
aiti-416	150	28	reduction	reduction	NOUN
aiti-416	150	29	and	and	CCONJ
aiti-416	150	30	classification	classification	NOUN
aiti-416	150	31	of	of	ADP
aiti-416	150	32	hyperspectral	hyperspectral	ADJ
aiti-416	150	33	imagery	imagery	NOUN
aiti-416	150	34	,	,	PUNCT
aiti-416	150	35	”	"	PUNCT
aiti-416	150	36	ieee	ieee	NOUN
aiti-416	150	37	transactions	transaction	NOUN
aiti-416	150	38	on	on	ADP
aiti-416	150	39	geoscience	geoscience	NOUN
aiti-416	150	40	and	and	CCONJ
aiti-416	150	41	remote	remote	ADJ
aiti-416	150	42	sensing	sensing	NOUN
aiti-416	150	43	,	,	PUNCT
aiti-416	150	44	vol	vol	NOUN
aiti-416	150	45	.	.	PROPN
aiti-416	150	46	52	52	NUM
aiti-416	150	47	,	,	PUNCT
aiti-416	150	48	no	no	INTJ
aiti-416	150	49	.	.	NOUN
aiti-416	150	50	11	11	NUM
aiti-416	150	51	,	,	PUNCT
aiti-416	150	52	pp	pp	ADJ
aiti-416	150	53	.	.	PUNCT
aiti-416	151	1	7008	7008	NUM
aiti-416	151	2	-	-	SYM
aiti-416	151	3	7022	7022	NUM
aiti-416	151	4	,	,	PUNCT
aiti-416	151	5	2014	2014	NUM
aiti-416	151	6	.	.	PUNCT
aiti-416	152	1	[	[	X
aiti-416	152	2	10	10	NUM
aiti-416	152	3	]	]	X
aiti-416	152	4	hyperspectral	hyperspectral	ADJ
aiti-416	152	5	remote	remote	ADJ
aiti-416	152	6	sensing	sense	VERB
aiti-416	152	7	scenes	scene	NOUN
aiti-416	152	8	,	,	PUNCT
aiti-416	152	9	[	[	X
aiti-416	152	10	online	online	X
aiti-416	152	11	]	]	X
aiti-416	152	12	.	.	PUNCT
aiti-416	153	1	available	available	ADJ
aiti-416	153	2	:	:	PUNCT
aiti-416	153	3	http://www.ehu.eus/ccwintco/index.php?titl	http://www.ehu.eus/ccwintco/index.php?titl	PROPN
aiti-416	153	4	e	e	NOUN
aiti-416	153	5	=	=	NOUN
aiti-416	153	6	hyperspectral_remote_sensing_scenes	hyperspectral_remote_sensing_scenes	PROPN
aiti-416	153	7	.	.	PUNCT
aiti-416	154	1	[	[	X
aiti-416	154	2	accessed	access	VERB
aiti-416	154	3	24	24	NUM
aiti-416	154	4	may	may	PROPN
aiti-416	154	5	2016	2016	NUM
aiti-416	154	6	]	]	PUNCT