id	sid	tid	token	lemma	pos
cet-835	1	1	chemical	chemical	ADJ
cet-835	1	2	engineeringtransactions	engineeringtransaction	NOUN
cet-835	1	3	vol	vol	NOUN
cet-835	1	4	.	.	PROPN
cet-835	2	1	62	62	NUM
cet-835	2	2	,	,	PUNCT
cet-835	2	3	2017	2017	NUM
cet-835	2	4	a	a	DET
cet-835	2	5	publication	publication	NOUN
cet-835	2	6	of	of	ADP
cet-835	2	7	the	the	DET
cet-835	2	8	italian	italian	ADJ
cet-835	2	9	association	association	NOUN
cet-835	2	10	of	of	ADP
cet-835	2	11	chemical	chemical	PROPN
cet-835	2	12	engineering	engineering	NOUN
cet-835	2	13	online	online	ADV
cet-835	2	14	at	at	ADP
cet-835	2	15	www.aidic.it/cet	www.aidic.it/cet	PROPN
cet-835	2	16	guest	guest	PROPN
cet-835	2	17	editors	editor	NOUN
cet-835	2	18	:	:	PUNCT
cet-835	3	1	fei	fei	PROPN
cet-835	3	2	song	song	PROPN
cet-835	3	3	,	,	PUNCT
cet-835	3	4	haibo	haibo	PROPN
cet-835	3	5	wang	wang	PROPN
cet-835	3	6	,	,	PUNCT
cet-835	3	7	fang	fang	PROPN
cet-835	3	8	he	he	PRON
cet-835	3	9	copyright	copyright	NOUN
cet-835	3	10	©	©	PROPN
cet-835	3	11	2017	2017	NUM
cet-835	3	12	,	,	PUNCT
cet-835	3	13	aidic	aidic	ADJ
cet-835	3	14	servizi	servizi	PROPN
cet-835	3	15	s.r.l	s.r.l	NOUN
cet-835	3	16	.	.	PUNCT
cet-835	3	17	isbn978	isbn978	PROPN
cet-835	3	18	-	-	PUNCT
cet-835	3	19	88	88	NUM
cet-835	3	20	-	-	PUNCT
cet-835	3	21	9560860	9560860	NUM
cet-835	3	22	-	-	SYM
cet-835	3	23	0	0	NUM
cet-835	3	24	;	;	PUNCT
cet-835	3	25	issn	issn	PROPN
cet-835	3	26	2283	2283	NUM
cet-835	3	27	-	-	SYM
cet-835	3	28	9216	9216	NUM
cet-835	3	29	methodology	methodology	NOUN
cet-835	3	30	of	of	ADP
cet-835	3	31	stoichiometry	stoichiometry	NOUN
cet-835	3	32	based	base	VERB
cet-835	3	33	on	on	ADP
cet-835	3	34	hyperspectral	hyperspectral	ADJ
cet-835	3	35	image	image	NOUN
cet-835	3	36	recognition	recognition	NOUN
cet-835	3	37	chengjia	chengjia	VERB
cet-835	3	38	yang	yang	PROPN
cet-835	3	39	*	*	PROPN
cet-835	3	40	,	,	PUNCT
cet-835	3	41	peng	peng	PROPN
cet-835	3	42	tian	tian	PROPN
cet-835	3	43	,	,	PUNCT
cet-835	3	44	chenghao	chenghao	PROPN
cet-835	3	45	han	han	PROPN
cet-835	3	46	jilin	jilin	PROPN
cet-835	3	47	jianzhu	jianzhu	PROPN
cet-835	3	48	university	university	PROPN
cet-835	3	49	,	,	PUNCT
cet-835	3	50	changchun	changchun	PROPN
cet-835	3	51	130118	130118	NUM
cet-835	3	52	,	,	PUNCT
cet-835	3	53	china	china	PROPN
cet-835	3	54	yang_chengjia@qq.com	yang_chengjia@qq.com	X
cet-835	3	55	this	this	DET
cet-835	3	56	paper	paper	NOUN
cet-835	3	57	aims	aim	VERB
cet-835	3	58	at	at	ADP
cet-835	3	59	researching	research	VERB
cet-835	3	60	a	a	DET
cet-835	3	61	rapid	rapid	ADJ
cet-835	3	62	,	,	PUNCT
cet-835	3	63	lossless	lossless	NOUN
cet-835	3	64	,	,	PUNCT
cet-835	3	65	accurate	accurate	ADJ
cet-835	3	66	and	and	CCONJ
cet-835	3	67	high	high	ADJ
cet-835	3	68	-	-	PUNCT
cet-835	3	69	robustness	robustness	NOUN
cet-835	3	70	classification	classification	NOUN
cet-835	3	71	model	model	NOUN
cet-835	3	72	with	with	ADP
cet-835	3	73	the	the	DET
cet-835	3	74	combination	combination	NOUN
cet-835	3	75	of	of	ADP
cet-835	3	76	hyperspectral	hyperspectral	ADJ
cet-835	3	77	image	image	NOUN
cet-835	3	78	technology	technology	NOUN
cet-835	3	79	and	and	CCONJ
cet-835	3	80	stoichiometry	stoichiometry	NOUN
cet-835	3	81	to	to	AUX
cet-835	3	82	sole	sole	ADJ
cet-835	3	83	some	some	DET
cet-835	3	84	problems	problem	NOUN
cet-835	3	85	in	in	ADP
cet-835	3	86	seed	seed	NOUN
cet-835	3	87	purity	purity	NOUN
cet-835	3	88	detection	detection	NOUN
cet-835	3	89	.	.	PUNCT
cet-835	4	1	the	the	DET
cet-835	4	2	hyperspectral	hyperspectral	ADJ
cet-835	4	3	data	datum	NOUN
cet-835	4	4	is	be	AUX
cet-835	4	5	subject	subject	ADJ
cet-835	4	6	to	to	ADP
cet-835	4	7	the	the	DET
cet-835	4	8	wave	wave	NOUN
cet-835	4	9	-	-	PUNCT
cet-835	4	10	band	band	NOUN
cet-835	4	11	selection	selection	NOUN
cet-835	4	12	with	with	ADP
cet-835	4	13	the	the	DET
cet-835	4	14	combination	combination	NOUN
cet-835	4	15	of	of	ADP
cet-835	4	16	stoichiometry	stoichiometry	NOUN
cet-835	4	17	,	,	PUNCT
cet-835	4	18	the	the	DET
cet-835	4	19	mathematical	mathematical	ADJ
cet-835	4	20	model	model	NOUN
cet-835	4	21	set	set	VERB
cet-835	4	22	up	up	ADP
cet-835	4	23	by	by	ADP
cet-835	4	24	using	use	VERB
cet-835	4	25	hyperspectral	hyperspectral	ADJ
cet-835	4	26	image	image	NOUN
cet-835	4	27	is	be	AUX
cet-835	4	28	upgraded	upgrade	VERB
cet-835	4	29	,	,	PUNCT
cet-835	4	30	and	and	CCONJ
cet-835	4	31	the	the	DET
cet-835	4	32	seed	seed	NOUN
cet-835	4	33	purity	purity	NOUN
cet-835	4	34	is	be	AUX
cet-835	4	35	also	also	ADV
cet-835	4	36	tested	test	VERB
cet-835	4	37	.	.	PUNCT
cet-835	5	1	the	the	DET
cet-835	5	2	experiment	experiment	NOUN
cet-835	5	3	result	result	NOUN
cet-835	5	4	indicates	indicate	VERB
cet-835	5	5	that	that	SCONJ
cet-835	5	6	:	:	PUNCT
cet-835	5	7	as	as	SCONJ
cet-835	5	8	the	the	DET
cet-835	5	9	characteristic	characteristic	ADJ
cet-835	5	10	space	space	NOUN
cet-835	5	11	of	of	ADP
cet-835	5	12	the	the	DET
cet-835	5	13	original	original	ADJ
cet-835	5	14	training	training	NOUN
cet-835	5	15	set	set	NOUN
cet-835	5	16	sample	sample	NOUN
cet-835	5	17	is	be	AUX
cet-835	5	18	enlarged	enlarge	VERB
cet-835	5	19	by	by	ADP
cet-835	5	20	adding	add	VERB
cet-835	5	21	the	the	DET
cet-835	5	22	new	new	ADJ
cet-835	5	23	samples	sample	NOUN
cet-835	5	24	of	of	ADP
cet-835	5	25	11.0%-12.8	11.0%-12.8	NOUN
cet-835	5	26	%	%	NOUN
cet-835	5	27	of	of	ADP
cet-835	5	28	the	the	DET
cet-835	5	29	predicted	predict	VERB
cet-835	5	30	sample	sample	NOUN
cet-835	5	31	set	set	VERB
cet-835	5	32	in	in	ADP
cet-835	5	33	real	real	ADJ
cet-835	5	34	time	time	NOUN
cet-835	5	35	,	,	PUNCT
cet-835	5	36	the	the	DET
cet-835	5	37	prediction	prediction	NOUN
cet-835	5	38	accuracy	accuracy	NOUN
cet-835	5	39	of	of	ADP
cet-835	5	40	the	the	DET
cet-835	5	41	upgraded	upgrade	VERB
cet-835	5	42	model	model	NOUN
cet-835	5	43	on	on	ADP
cet-835	5	44	the	the	DET
cet-835	5	45	seed	seed	NOUN
cet-835	5	46	purity	purity	NOUN
cet-835	5	47	can	can	AUX
cet-835	5	48	be	be	AUX
cet-835	5	49	improved	improve	VERB
cet-835	5	50	.	.	PUNCT
cet-835	6	1	therefore	therefore	ADV
cet-835	6	2	,	,	PUNCT
cet-835	6	3	the	the	DET
cet-835	6	4	online	online	ADJ
cet-835	6	5	model	model	NOUN
cet-835	6	6	upgrading	upgrading	NOUN
cet-835	6	7	strategy	strategy	NOUN
cet-835	6	8	based	base	VERB
cet-835	6	9	on	on	ADP
cet-835	6	10	isvdd	isvdd	PROPN
cet-835	6	11	can	can	AUX
cet-835	6	12	be	be	AUX
cet-835	6	13	used	use	VERB
cet-835	6	14	to	to	PART
cet-835	6	15	improve	improve	VERB
cet-835	6	16	the	the	DET
cet-835	6	17	stability	stability	NOUN
cet-835	6	18	and	and	CCONJ
cet-835	6	19	generalization	generalization	NOUN
cet-835	6	20	ability	ability	NOUN
cet-835	6	21	of	of	ADP
cet-835	6	22	the	the	DET
cet-835	6	23	model	model	NOUN
cet-835	6	24	well	well	ADV
cet-835	6	25	,	,	PUNCT
cet-835	6	26	and	and	CCONJ
cet-835	6	27	the	the	DET
cet-835	6	28	requirements	requirement	NOUN
cet-835	6	29	on	on	ADP
cet-835	6	30	instantaneity	instantaneity	NOUN
cet-835	6	31	and	and	CCONJ
cet-835	6	32	accuracy	accuracy	NOUN
cet-835	6	33	of	of	ADP
cet-835	6	34	model	model	NOUN
cet-835	6	35	upgrading	upgrading	NOUN
cet-835	6	36	in	in	ADP
cet-835	6	37	the	the	DET
cet-835	6	38	actual	actual	ADJ
cet-835	6	39	production	production	NOUN
cet-835	6	40	can	can	AUX
cet-835	6	41	be	be	AUX
cet-835	6	42	met	meet	VERB
cet-835	6	43	.	.	PUNCT
cet-835	7	1	1	1	X
cet-835	7	2	.	.	X
cet-835	7	3	introduction	introduction	NOUN
cet-835	7	4	the	the	DET
cet-835	7	5	hyperspectral	hyperspectral	ADJ
cet-835	7	6	image	image	NOUN
cet-835	7	7	technology	technology	NOUN
cet-835	7	8	is	be	AUX
cet-835	7	9	the	the	DET
cet-835	7	10	detecting	detect	VERB
cet-835	7	11	technology	technology	NOUN
cet-835	7	12	widely	widely	ADV
cet-835	7	13	used	use	VERB
cet-835	7	14	in	in	ADP
cet-835	7	15	the	the	DET
cet-835	7	16	non	non	ADJ
cet-835	7	17	-	-	ADJ
cet-835	7	18	destructive	destructive	ADJ
cet-835	7	19	measuring	measuring	NOUN
cet-835	7	20	method	method	NOUN
cet-835	7	21	of	of	ADP
cet-835	7	22	the	the	DET
cet-835	7	23	farm	farm	NOUN
cet-835	7	24	product	product	NOUN
cet-835	7	25	in	in	ADP
cet-835	7	26	recent	recent	ADJ
cet-835	7	27	years	year	NOUN
cet-835	7	28	(	(	PUNCT
cet-835	7	29	chen	chen	PROPN
cet-835	7	30	et	et	PROPN
cet-835	7	31	al	al	PROPN
cet-835	7	32	.	.	PROPN
cet-835	7	33	,	,	PUNCT
cet-835	7	34	2014	2014	NUM
cet-835	7	35	)	)	PUNCT
cet-835	7	36	.	.	PUNCT
cet-835	8	1	compared	compare	VERB
cet-835	8	2	with	with	ADP
cet-835	8	3	the	the	DET
cet-835	8	4	traditional	traditional	ADJ
cet-835	8	5	machine	machine	NOUN
cet-835	8	6	vision	vision	NOUN
cet-835	8	7	and	and	CCONJ
cet-835	8	8	near	near	ADV
cet-835	8	9	-	-	PUNCT
cet-835	8	10	infrared	infrare	VERB
cet-835	8	11	spectrum	spectrum	NOUN
cet-835	8	12	analysis	analysis	NOUN
cet-835	8	13	technique	technique	NOUN
cet-835	8	14	,	,	PUNCT
cet-835	8	15	the	the	DET
cet-835	8	16	hyperspectral	hyperspectral	ADJ
cet-835	8	17	image	image	NOUN
cet-835	8	18	technology	technology	NOUN
cet-835	8	19	can	can	AUX
cet-835	8	20	be	be	AUX
cet-835	8	21	used	use	VERB
cet-835	8	22	to	to	PART
cet-835	8	23	obtain	obtain	VERB
cet-835	8	24	the	the	DET
cet-835	8	25	image	image	NOUN
cet-835	8	26	information	information	NOUN
cet-835	8	27	such	such	ADJ
cet-835	8	28	as	as	ADP
cet-835	8	29	the	the	DET
cet-835	8	30	external	external	ADJ
cet-835	8	31	shape	shape	NOUN
cet-835	8	32	and	and	CCONJ
cet-835	8	33	colour	colour	NOUN
cet-835	8	34	of	of	ADP
cet-835	8	35	the	the	DET
cet-835	8	36	seed	seed	NOUN
cet-835	8	37	etc	etc	X
cet-835	8	38	.	.	X
cet-835	8	39	simultaneously	simultaneously	ADV
cet-835	8	40	and	and	CCONJ
cet-835	8	41	reflect	reflect	VERB
cet-835	8	42	the	the	DET
cet-835	8	43	spectral	spectral	ADJ
cet-835	8	44	information	information	NOUN
cet-835	8	45	of	of	ADP
cet-835	8	46	internal	internal	ADJ
cet-835	8	47	chemical	chemical	NOUN
cet-835	8	48	component	component	NOUN
cet-835	8	49	inside	inside	ADP
cet-835	8	50	the	the	DET
cet-835	8	51	seed	seed	NOUN
cet-835	8	52	(	(	PUNCT
cet-835	8	53	chen	chen	PROPN
cet-835	8	54	et	et	PROPN
cet-835	8	55	al	al	PROPN
cet-835	8	56	.	.	PROPN
cet-835	8	57	,	,	PUNCT
cet-835	8	58	2017	2017	NUM
cet-835	8	59	)	)	PUNCT
cet-835	8	60	,	,	PUNCT
cet-835	8	61	so	so	SCONJ
cet-835	8	62	that	that	SCONJ
cet-835	8	63	the	the	DET
cet-835	8	64	multiaspect	multiaspect	NOUN
cet-835	8	65	and	and	CCONJ
cet-835	8	66	angle	angle	NOUN
cet-835	8	67	analysis	analysis	NOUN
cet-835	8	68	on	on	ADP
cet-835	8	69	the	the	DET
cet-835	8	70	tested	test	VERB
cet-835	8	71	object	object	NOUN
cet-835	8	72	can	can	AUX
cet-835	8	73	be	be	AUX
cet-835	8	74	achieved	achieve	VERB
cet-835	8	75	.	.	PUNCT
cet-835	9	1	the	the	DET
cet-835	9	2	hyperspectral	hyperspectral	ADJ
cet-835	9	3	image	image	NOUN
cet-835	9	4	technology	technology	NOUN
cet-835	9	5	has	have	AUX
cet-835	9	6	been	be	AUX
cet-835	9	7	widely	widely	ADV
cet-835	9	8	applied	apply	VERB
cet-835	9	9	in	in	ADP
cet-835	9	10	the	the	DET
cet-835	9	11	non	non	ADJ
cet-835	9	12	-	-	ADJ
cet-835	9	13	destructive	destructive	ADJ
cet-835	9	14	measuring	measuring	NOUN
cet-835	9	15	method	method	NOUN
cet-835	9	16	of	of	ADP
cet-835	9	17	the	the	DET
cet-835	9	18	farm	farm	NOUN
cet-835	9	19	product	product	NOUN
cet-835	9	20	due	due	ADP
cet-835	9	21	to	to	ADP
cet-835	9	22	its	its	PRON
cet-835	9	23	advantages	advantage	NOUN
cet-835	9	24	in	in	ADP
cet-835	9	25	many	many	ADJ
cet-835	9	26	aspects	aspect	NOUN
cet-835	9	27	.	.	PUNCT
cet-835	10	1	however	however	ADV
cet-835	10	2	,	,	PUNCT
cet-835	10	3	as	as	SCONJ
cet-835	10	4	the	the	DET
cet-835	10	5	number	number	NOUN
cet-835	10	6	of	of	ADP
cet-835	10	7	wave	wave	NOUN
cet-835	10	8	bands	band	NOUN
cet-835	10	9	of	of	ADP
cet-835	10	10	the	the	DET
cet-835	10	11	hyperspectral	hyperspectral	ADJ
cet-835	10	12	data	datum	NOUN
cet-835	10	13	is	be	AUX
cet-835	10	14	large	large	ADJ
cet-835	10	15	(	(	PUNCT
cet-835	10	16	chen	chen	PROPN
cet-835	10	17	et	et	PROPN
cet-835	10	18	al	al	PROPN
cet-835	10	19	.	.	PROPN
cet-835	10	20	,	,	PUNCT
cet-835	10	21	2017	2017	NUM
cet-835	10	22	)	)	PUNCT
cet-835	10	23	,	,	PUNCT
cet-835	10	24	the	the	DET
cet-835	10	25	data	data	NOUN
cet-835	10	26	storage	storage	NOUN
cet-835	10	27	space	space	NOUN
cet-835	10	28	is	be	AUX
cet-835	10	29	not	not	PART
cet-835	10	30	only	only	ADV
cet-835	10	31	increased	increase	VERB
cet-835	10	32	in	in	ADP
cet-835	10	33	the	the	DET
cet-835	10	34	modelling	modelling	NOUN
cet-835	10	35	analysis	analysis	NOUN
cet-835	10	36	by	by	ADP
cet-835	10	37	using	use	VERB
cet-835	10	38	wave	wave	NOUN
cet-835	10	39	band	band	NOUN
cet-835	10	40	,	,	PUNCT
cet-835	10	41	but	but	CCONJ
cet-835	10	42	also	also	ADV
cet-835	10	43	the	the	DET
cet-835	10	44	actual	actual	ADJ
cet-835	10	45	calculation	calculation	NOUN
cet-835	10	46	workload	workload	NOUN
cet-835	10	47	is	be	AUX
cet-835	10	48	increased	increase	VERB
cet-835	10	49	,	,	PUNCT
cet-835	10	50	which	which	PRON
cet-835	10	51	can	can	AUX
cet-835	10	52	affect	affect	VERB
cet-835	10	53	the	the	DET
cet-835	10	54	real	real	ADJ
cet-835	10	55	-	-	PUNCT
cet-835	10	56	time	time	NOUN
cet-835	10	57	performance	performance	NOUN
cet-835	10	58	of	of	ADP
cet-835	10	59	the	the	DET
cet-835	10	60	detection	detection	NOUN
cet-835	10	61	result	result	NOUN
cet-835	10	62	.	.	PUNCT
cet-835	11	1	actually	actually	ADV
cet-835	11	2	(	(	PUNCT
cet-835	11	3	dupré	dupré	PROPN
cet-835	11	4	et	et	PROPN
cet-835	11	5	al	al	PROPN
cet-835	11	6	.	.	PROPN
cet-835	11	7	,	,	PUNCT
cet-835	11	8	2017	2017	NUM
cet-835	11	9	)	)	PUNCT
cet-835	11	10	,	,	PUNCT
cet-835	11	11	high	high	ADJ
cet-835	11	12	dependency	dependency	NOUN
cet-835	11	13	and	and	CCONJ
cet-835	11	14	redundancy	redundancy	NOUN
cet-835	11	15	exist	exist	VERB
cet-835	11	16	in	in	ADP
cet-835	11	17	adjacent	adjacent	ADJ
cet-835	11	18	wave	wave	NOUN
cet-835	11	19	bands	band	NOUN
cet-835	11	20	of	of	ADP
cet-835	11	21	the	the	DET
cet-835	11	22	hyperspectral	hyperspectral	ADJ
cet-835	11	23	image	image	NOUN
cet-835	11	24	,	,	PUNCT
cet-835	11	25	due	due	ADP
cet-835	11	26	to	to	ADP
cet-835	11	27	which	which	PRON
cet-835	11	28	not	not	PART
cet-835	11	29	every	every	DET
cet-835	11	30	wave	wave	NOUN
cet-835	11	31	band	band	NOUN
cet-835	11	32	is	be	AUX
cet-835	11	33	of	of	ADP
cet-835	11	34	the	the	DET
cet-835	11	35	same	same	ADJ
cet-835	11	36	value	value	NOUN
cet-835	11	37	to	to	ADP
cet-835	11	38	the	the	DET
cet-835	11	39	image	image	NOUN
cet-835	11	40	processing	processing	NOUN
cet-835	11	41	(	(	PUNCT
cet-835	11	42	elshamli	elshamli	PROPN
cet-835	11	43	et	et	PROPN
cet-835	11	44	al	al	PROPN
cet-835	11	45	.	.	PROPN
cet-835	11	46	,	,	PUNCT
cet-835	11	47	2017	2017	NUM
cet-835	11	48	)	)	PUNCT
cet-835	11	49	.	.	PUNCT
cet-835	12	1	the	the	DET
cet-835	12	2	least	least	ADJ
cet-835	12	3	and	and	CCONJ
cet-835	12	4	most	most	ADV
cet-835	12	5	representative	representative	ADJ
cet-835	12	6	wave	wave	NOUN
cet-835	12	7	-	-	PUNCT
cet-835	12	8	band	band	NOUN
cet-835	12	9	subsets	subset	NOUN
cet-835	12	10	are	be	AUX
cet-835	12	11	selected	select	VERB
cet-835	12	12	with	with	ADP
cet-835	12	13	wave	wave	NOUN
cet-835	12	14	-	-	PUNCT
cet-835	12	15	band	band	NOUN
cet-835	12	16	selection	selection	NOUN
cet-835	12	17	algorithm	algorithm	NOUN
cet-835	12	18	to	to	PART
cet-835	12	19	form	form	VERB
cet-835	12	20	the	the	DET
cet-835	12	21	new	new	ADJ
cet-835	12	22	hyperspectral	hyperspectral	ADJ
cet-835	12	23	image	image	NOUN
cet-835	12	24	space	space	NOUN
cet-835	12	25	,	,	PUNCT
cet-835	12	26	so	so	SCONJ
cet-835	12	27	that	that	SCONJ
cet-835	12	28	the	the	DET
cet-835	12	29	original	original	ADJ
cet-835	12	30	hyperspectral	hyperspectral	ADJ
cet-835	12	31	image	image	NOUN
cet-835	12	32	space	space	NOUN
cet-835	12	33	can	can	AUX
cet-835	12	34	be	be	AUX
cet-835	12	35	replaced	replace	VERB
cet-835	12	36	approximately	approximately	ADV
cet-835	12	37	(	(	PUNCT
cet-835	12	38	he	he	PRON
cet-835	12	39	et	et	VERB
cet-835	12	40	al	al	PROPN
cet-835	12	41	.	.	PROPN
cet-835	12	42	,	,	PUNCT
cet-835	12	43	2017	2017	NUM
cet-835	12	44	)	)	PUNCT
cet-835	12	45	;	;	PUNCT
cet-835	12	46	thus	thus	ADV
cet-835	12	47	,	,	PUNCT
cet-835	12	48	the	the	DET
cet-835	12	49	dimensionality	dimensionality	NOUN
cet-835	12	50	reduction	reduction	NOUN
cet-835	12	51	of	of	ADP
cet-835	12	52	hyperspectral	hyperspectral	ADJ
cet-835	12	53	image	image	NOUN
cet-835	12	54	data	datum	NOUN
cet-835	12	55	can	can	AUX
cet-835	12	56	be	be	AUX
cet-835	12	57	achieved	achieve	VERB
cet-835	12	58	,	,	PUNCT
cet-835	12	59	and	and	CCONJ
cet-835	12	60	the	the	DET
cet-835	12	61	influence	influence	NOUN
cet-835	12	62	on	on	ADP
cet-835	12	63	the	the	DET
cet-835	12	64	entire	entire	ADJ
cet-835	12	65	identification	identification	NOUN
cet-835	12	66	accuracy	accuracy	NOUN
cet-835	12	67	is	be	AUX
cet-835	12	68	smaller	small	ADJ
cet-835	12	69	(	(	PUNCT
cet-835	12	70	iordache	iordache	NOUN
cet-835	12	71	et	et	PROPN
cet-835	12	72	al	al	PROPN
cet-835	12	73	.	.	PROPN
cet-835	12	74	,	,	PUNCT
cet-835	12	75	2014	2014	NUM
cet-835	12	76	)	)	PUNCT
cet-835	12	77	,	,	PUNCT
cet-835	12	78	which	which	PRON
cet-835	12	79	is	be	AUX
cet-835	12	80	the	the	DET
cet-835	12	81	final	final	ADJ
cet-835	12	82	objective	objective	NOUN
cet-835	12	83	of	of	ADP
cet-835	12	84	hyperspectral	hyperspectral	ADJ
cet-835	12	85	-	-	PUNCT
cet-835	12	86	image	image	NOUN
cet-835	12	87	waveband	waveband	NOUN
cet-835	12	88	selection	selection	NOUN
cet-835	12	89	(	(	PUNCT
cet-835	12	90	jia	jia	PROPN
cet-835	12	91	et	et	PROPN
cet-835	12	92	al	al	PROPN
cet-835	12	93	.	.	PROPN
cet-835	12	94	,	,	PUNCT
cet-835	12	95	2017	2017	NUM
cet-835	12	96	)	)	PUNCT
cet-835	12	97	.	.	PUNCT
cet-835	13	1	therefore	therefore	ADV
cet-835	13	2	,	,	PUNCT
cet-835	13	3	how	how	SCONJ
cet-835	13	4	to	to	PART
cet-835	13	5	use	use	VERB
cet-835	13	6	the	the	DET
cet-835	13	7	stoichiometry	stoichiometry	NOUN
cet-835	13	8	method	method	NOUN
cet-835	13	9	to	to	PART
cet-835	13	10	achieve	achieve	VERB
cet-835	13	11	the	the	DET
cet-835	13	12	optimum	optimum	ADJ
cet-835	13	13	wave	wave	NOUN
cet-835	13	14	-	-	PUNCT
cet-835	13	15	band	band	NOUN
cet-835	13	16	selection	selection	NOUN
cet-835	13	17	is	be	AUX
cet-835	13	18	of	of	ADP
cet-835	13	19	importance	importance	NOUN
cet-835	13	20	value	value	NOUN
cet-835	13	21	on	on	ADP
cet-835	13	22	rapid	rapid	ADJ
cet-835	13	23	and	and	CCONJ
cet-835	13	24	accurate	accurate	ADJ
cet-835	13	25	non	non	ADJ
cet-835	13	26	-	-	ADJ
cet-835	13	27	destructive	destructive	ADJ
cet-835	13	28	testing	testing	NOUN
cet-835	13	29	of	of	ADP
cet-835	13	30	farm	farm	NOUN
cet-835	13	31	products	product	NOUN
cet-835	13	32	(	(	PUNCT
cet-835	13	33	kizel	kizel	PROPN
cet-835	13	34	et	et	PROPN
cet-835	13	35	al	al	PROPN
cet-835	13	36	.	.	PROPN
cet-835	13	37	,	,	PUNCT
cet-835	13	38	2017	2017	NUM
cet-835	13	39	)	)	PUNCT
cet-835	13	40	.	.	PUNCT
cet-835	14	1	2	2	X
cet-835	14	2	.	.	X
cet-835	14	3	hyperspectral	hyperspectral	ADJ
cet-835	14	4	image	image	NOUN
cet-835	14	5	collection	collection	NOUN
cet-835	14	6	system	system	NOUN
cet-835	14	7	the	the	DET
cet-835	14	8	near	near	ADV
cet-835	14	9	-	-	PUNCT
cet-835	14	10	infrared	infrared	ADJ
cet-835	14	11	hyperspectral	hyperspectral	ADJ
cet-835	14	12	-	-	PUNCT
cet-835	14	13	image	image	NOUN
cet-835	14	14	collection	collection	NOUN
cet-835	14	15	system	system	NOUN
cet-835	14	16	(	(	PUNCT
cet-835	14	17	900	900	NUM
cet-835	14	18	-	-	SYM
cet-835	14	19	1700	1700	NUM
cet-835	14	20	nm	nm	NOUN
cet-835	14	21	)	)	PUNCT
cet-835	14	22	is	be	AUX
cet-835	14	23	adopted	adopt	VERB
cet-835	14	24	in	in	ADP
cet-835	14	25	this	this	DET
cet-835	14	26	experiment	experiment	NOUN
cet-835	14	27	(	(	PUNCT
cet-835	14	28	kumar	kumar	PROPN
cet-835	14	29	s.	s.	PROPN
cet-835	14	30	and	and	CCONJ
cet-835	14	31	singh	singh	PROPN
cet-835	14	32	s.	s.	PROPN
cet-835	14	33	k.	k.	PROPN
cet-835	14	34	,	,	PUNCT
cet-835	14	35	2017	2017	NUM
cet-835	14	36	)	)	PUNCT
cet-835	14	37	.	.	PUNCT
cet-835	15	1	the	the	DET
cet-835	15	2	near	near	ADV
cet-835	15	3	-	-	PUNCT
cet-835	15	4	infrared	infrared	ADJ
cet-835	15	5	hyperspectral	hyperspectral	ADJ
cet-835	15	6	-	-	PUNCT
cet-835	15	7	image	image	NOUN
cet-835	15	8	collection	collection	NOUN
cet-835	15	9	system	system	NOUN
cet-835	15	10	mainly	mainly	ADV
cet-835	15	11	consists	consist	VERB
cet-835	15	12	of	of	ADP
cet-835	15	13	light	light	ADJ
cet-835	15	14	source	source	NOUN
cet-835	15	15	module	module	NOUN
cet-835	15	16	,	,	PUNCT
cet-835	15	17	image	image	NOUN
cet-835	15	18	collection	collection	NOUN
cet-835	15	19	module	module	NOUN
cet-835	15	20	,	,	PUNCT
cet-835	15	21	sample	sample	NOUN
cet-835	15	22	delivery	delivery	NOUN
cet-835	15	23	platform	platform	NOUN
cet-835	15	24	and	and	CCONJ
cet-835	15	25	the	the	DET
cet-835	15	26	computer	computer	NOUN
cet-835	15	27	(	(	PUNCT
cet-835	15	28	liao	liao	PROPN
cet-835	15	29	et	et	PROPN
cet-835	15	30	al	al	PROPN
cet-835	15	31	.	.	PROPN
cet-835	15	32	,	,	PUNCT
cet-835	15	33	2016	2016	NUM
cet-835	15	34	)	)	PUNCT
cet-835	15	35	.	.	PUNCT
cet-835	16	1	the	the	DET
cet-835	16	2	light	light	ADJ
cet-835	16	3	source	source	NOUN
cet-835	16	4	module	module	NOUN
cet-835	16	5	is	be	AUX
cet-835	16	6	equipped	equip	VERB
cet-835	16	7	with	with	ADP
cet-835	16	8	150w	150w	NUM
cet-835	16	9	fiber	fiber	NOUN
cet-835	16	10	halogen	halogen	NOUN
cet-835	16	11	lamp	lamp	NOUN
cet-835	16	12	(	(	PUNCT
cet-835	16	13	2specim	2specim	NOUN
cet-835	16	14	,	,	PUNCT
cet-835	16	15	spectral	spectral	PROPN
cet-835	16	16	imaging	imaging	PROPN
cet-835	16	17	ltd	ltd	PROPN
cet-835	16	18	.	.	PROPN
cet-835	16	19	,	,	PUNCT
cet-835	16	20	oulu	oulu	PROPN
cet-835	16	21	,	,	PUNCT
cet-835	16	22	finland	finland	PROPN
cet-835	16	23	)	)	PUNCT
cet-835	16	24	,	,	PUNCT
cet-835	16	25	which	which	PRON
cet-835	16	26	can	can	AUX
cet-835	16	27	lead	lead	VERB
cet-835	16	28	out	out	ADP
cet-835	16	29	the	the	DET
cet-835	16	30	light	light	ADJ
cet-835	16	31	source	source	NOUN
cet-835	16	32	signal	signal	NOUN
cet-835	16	33	through	through	ADP
cet-835	16	34	two	two	NUM
cet-835	16	35	branches	branch	NOUN
cet-835	16	36	of	of	ADP
cet-835	16	37	optical	optical	ADJ
cet-835	16	38	fiber	fiber	NOUN
cet-835	16	39	so	so	SCONJ
cet-835	16	40	as	as	SCONJ
cet-835	16	41	to	to	PART
cet-835	16	42	form	form	VERB
cet-835	16	43	the	the	DET
cet-835	16	44	eudipleural	eudipleural	ADJ
cet-835	16	45	line	line	NOUN
cet-835	16	46	source	source	NOUN
cet-835	16	47	,	,	PUNCT
cet-835	16	48	and	and	CCONJ
cet-835	16	49	the	the	DET
cet-835	16	50	light	light	ADJ
cet-835	16	51	intensity	intensity	NOUN
cet-835	16	52	is	be	AUX
cet-835	16	53	adjustable	adjustable	ADJ
cet-835	16	54	within	within	ADP
cet-835	16	55	the	the	DET
cet-835	16	56	scope	scope	NOUN
cet-835	16	57	of	of	ADP
cet-835	16	58	0	0	NUM
cet-835	16	59	-	-	SYM
cet-835	16	60	100	100	NUM
cet-835	16	61	%	%	NOUN
cet-835	16	62	(	(	PUNCT
cet-835	16	63	mei	mei	PROPN
cet-835	16	64	s	s	PROPN
cet-835	16	65	,	,	PUNCT
cet-835	16	66	et	et	PROPN
cet-835	16	67	al	al	PROPN
cet-835	16	68	,	,	PUNCT
cet-835	16	69	2017	2017	NUM
cet-835	16	70	)	)	PUNCT
cet-835	16	71	.	.	PUNCT
cet-835	17	1	doi	doi	NOUN
cet-835	17	2	:	:	PUNCT
cet-835	17	3	10.3303	10.3303	NUM
cet-835	17	4	/	/	SYM
cet-835	17	5	cet1762037	cet1762037	NOUN
cet-835	17	6	please	please	INTJ
cet-835	17	7	cite	cite	VERB
cet-835	17	8	this	this	DET
cet-835	17	9	article	article	NOUN
cet-835	17	10	as	as	ADP
cet-835	17	11	:	:	PUNCT
cet-835	17	12	chengjia	chengjia	PROPN
cet-835	17	13	yang	yang	PROPN
cet-835	17	14	,	,	PUNCT
cet-835	17	15	peng	peng	PROPN
cet-835	17	16	tian	tian	PROPN
cet-835	17	17	,	,	PUNCT
cet-835	17	18	chenghao	chenghao	PROPN
cet-835	17	19	han	han	PROPN
cet-835	17	20	,	,	PUNCT
cet-835	17	21	2017	2017	NUM
cet-835	17	22	,	,	PUNCT
cet-835	17	23	methodology	methodology	NOUN
cet-835	17	24	of	of	ADP
cet-835	17	25	stoichiometry	stoichiometry	NOUN
cet-835	17	26	based	base	VERB
cet-835	17	27	on	on	ADP
cet-835	17	28	hyperspectral	hyperspectral	ADJ
cet-835	17	29	image	image	NOUN
cet-835	17	30	recognition	recognition	NOUN
cet-835	17	31	,	,	PUNCT
cet-835	17	32	chemical	chemical	NOUN
cet-835	17	33	engineering	engineering	NOUN
cet-835	17	34	transactions	transaction	NOUN
cet-835	17	35	,	,	PUNCT
cet-835	17	36	62	62	NUM
cet-835	17	37	,	,	PUNCT
cet-835	17	38	217	217	NUM
cet-835	17	39	-	-	SYM
cet-835	17	40	222	222	NUM
cet-835	17	41	doi:10.3303	doi:10.3303	NOUN
cet-835	17	42	/	/	SYM
cet-835	17	43	cet1762037	cet1762037	NOUN
cet-835	17	44	217	217	NUM
cet-835	17	45	the	the	DET
cet-835	17	46	image	image	NOUN
cet-835	17	47	collection	collection	NOUN
cet-835	17	48	model	model	NOUN
cet-835	17	49	mainly	mainly	ADV
cet-835	17	50	includes	include	VERB
cet-835	17	51	the	the	DET
cet-835	17	52	n17e	n17e	NOUN
cet-835	17	53	-	-	PUNCT
cet-835	17	54	qe	qe	PROPN
cet-835	17	55	line	line	NOUN
cet-835	17	56	-	-	PUNCT
cet-835	17	57	scan	scan	ADJ
cet-835	17	58	imaging	imaging	NOUN
cet-835	17	59	spectrometer	spectrometer	NOUN
cet-835	17	60	(	(	PUNCT
cet-835	17	61	spectral	spectral	PROPN
cet-835	17	62	imaging	imaging	PROPN
cet-835	17	63	ltd	ltd	PROPN
cet-835	17	64	.	.	PROPN
cet-835	17	65	oulu	oulu	PROPN
cet-835	17	66	,	,	PUNCT
cet-835	17	67	finland	finland	PROPN
cet-835	17	68	)	)	PUNCT
cet-835	17	69	and	and	CCONJ
cet-835	17	70	the	the	DET
cet-835	17	71	ccd	ccd	PROPN
cet-835	17	72	camera	camera	NOUN
cet-835	17	73	with	with	ADP
cet-835	17	74	prismatic	prismatic	ADJ
cet-835	17	75	focusing	focus	VERB
cet-835	17	76	magnifier	magnifier	NOUN
cet-835	17	77	.	.	PUNCT
cet-835	18	1	the	the	DET
cet-835	18	2	spectrograph	spectrograph	NOUN
cet-835	18	3	is	be	AUX
cet-835	18	4	the	the	DET
cet-835	18	5	core	core	ADJ
cet-835	18	6	part	part	NOUN
cet-835	18	7	of	of	ADP
cet-835	18	8	the	the	DET
cet-835	18	9	near	near	ADV
cet-835	18	10	-	-	PUNCT
cet-835	18	11	infrared	infrared	ADJ
cet-835	18	12	hyperspectral	hyperspectral	ADJ
cet-835	18	13	-	-	PUNCT
cet-835	18	14	image	image	NOUN
cet-835	18	15	collection	collection	NOUN
cet-835	18	16	system	system	NOUN
cet-835	18	17	,	,	PUNCT
cet-835	18	18	the	the	DET
cet-835	18	19	function	function	NOUN
cet-835	18	20	of	of	ADP
cet-835	18	21	which	which	PRON
cet-835	18	22	is	be	AUX
cet-835	18	23	to	to	PART
cet-835	18	24	resolve	resolve	VERB
cet-835	18	25	the	the	DET
cet-835	18	26	complicated	complicated	ADJ
cet-835	18	27	light	light	NOUN
cet-835	18	28	into	into	ADP
cet-835	18	29	spectral	spectral	ADJ
cet-835	18	30	lines	line	NOUN
cet-835	18	31	(	(	PUNCT
cet-835	18	32	moriya	moriya	X
cet-835	18	33	et	et	PROPN
cet-835	18	34	al	al	PROPN
cet-835	18	35	.	.	PROPN
cet-835	18	36	,	,	PUNCT
cet-835	18	37	2017	2017	NUM
cet-835	18	38	)	)	PUNCT
cet-835	18	39	.	.	PUNCT
cet-835	19	1	working	work	VERB
cet-835	19	2	principle	principle	NOUN
cet-835	19	3	:	:	PUNCT
cet-835	19	4	when	when	SCONJ
cet-835	19	5	on	on	ADP
cet-835	19	6	beam	beam	NOUN
cet-835	19	7	of	of	ADP
cet-835	19	8	composite	composite	ADJ
cet-835	19	9	light	light	NOUN
cet-835	19	10	enters	enter	VERB
cet-835	19	11	into	into	ADP
cet-835	19	12	the	the	DET
cet-835	19	13	prismrasterraster	prismrasterraster	NOUN
cet-835	19	14	component	component	NOUN
cet-835	19	15	,	,	PUNCT
cet-835	19	16	it	it	PRON
cet-835	19	17	will	will	AUX
cet-835	19	18	be	be	AUX
cet-835	19	19	gathered	gather	VERB
cet-835	19	20	into	into	ADP
cet-835	19	21	the	the	DET
cet-835	19	22	parallel	parallel	ADJ
cet-835	19	23	light	light	NOUN
cet-835	19	24	after	after	ADP
cet-835	19	25	entering	enter	VERB
cet-835	19	26	into	into	ADP
cet-835	19	27	the	the	DET
cet-835	19	28	entrance	entrance	NOUN
cet-835	19	29	slit	slit	NOUN
cet-835	19	30	of	of	ADP
cet-835	19	31	the	the	DET
cet-835	19	32	monochromator	monochromator	NOUN
cet-835	19	33	so	so	SCONJ
cet-835	19	34	as	as	SCONJ
cet-835	19	35	to	to	PART
cet-835	19	36	be	be	AUX
cet-835	19	37	subject	subject	ADJ
cet-835	19	38	to	to	ADP
cet-835	19	39	chromatic	chromatic	ADJ
cet-835	19	40	dispersion	dispersion	NOUN
cet-835	19	41	through	through	ADP
cet-835	19	42	the	the	DET
cet-835	19	43	diffraction	diffraction	NOUN
cet-835	19	44	grating	grating	NOUN
cet-835	19	45	based	base	VERB
cet-835	19	46	on	on	ADP
cet-835	19	47	different	different	ADJ
cet-835	19	48	length	length	NOUN
cet-835	19	49	of	of	ADP
cet-835	19	50	the	the	DET
cet-835	19	51	beam	beam	NOUN
cet-835	19	52	wavelength	wavelength	NOUN
cet-835	19	53	(	(	PUNCT
cet-835	19	54	mou	mou	PROPN
cet-835	19	55	and	and	CCONJ
cet-835	19	56	ghamisi	ghamisi	PROPN
cet-835	19	57	,	,	PUNCT
cet-835	19	58	2017	2017	NUM
cet-835	19	59	)	)	PUNCT
cet-835	19	60	.	.	PUNCT
cet-835	20	1	the	the	DET
cet-835	20	2	spectrum	spectrum	NOUN
cet-835	20	3	is	be	AUX
cet-835	20	4	formed	form	VERB
cet-835	20	5	through	through	ADP
cet-835	20	6	the	the	DET
cet-835	20	7	focussing	focussing	NOUN
cet-835	20	8	of	of	ADP
cet-835	20	9	focussing	focusse	VERB
cet-835	20	10	mirror	mirror	NOUN
cet-835	20	11	based	base	VERB
cet-835	20	12	on	on	ADP
cet-835	20	13	the	the	DET
cet-835	20	14	difference	difference	NOUN
cet-835	20	15	of	of	ADP
cet-835	20	16	angle	angle	NOUN
cet-835	20	17	in	in	ADP
cet-835	20	18	which	which	PRON
cet-835	20	19	each	each	DET
cet-835	20	20	wave	wave	NOUN
cet-835	20	21	length	length	NOUN
cet-835	20	22	leaving	leave	VERB
cet-835	20	23	the	the	DET
cet-835	20	24	optical	optical	ADJ
cet-835	20	25	grating	grating	NOUN
cet-835	20	26	finally	finally	ADV
cet-835	20	27	(	(	PUNCT
cet-835	20	28	mwaniki	mwaniki	PROPN
cet-835	20	29	et	et	PROPN
cet-835	20	30	al	al	PROPN
cet-835	20	31	.	.	PROPN
cet-835	20	32	,	,	PUNCT
cet-835	20	33	2015	2015	NUM
cet-835	20	34	)	)	PUNCT
cet-835	20	35	.	.	PUNCT
cet-835	21	1	the	the	DET
cet-835	21	2	spectrum	spectrum	NOUN
cet-835	21	3	waveband	waveband	NOUN
cet-835	21	4	scope	scope	NOUN
cet-835	21	5	covered	cover	VERB
cet-835	21	6	by	by	ADP
cet-835	21	7	the	the	DET
cet-835	21	8	line	line	NOUN
cet-835	21	9	-	-	PUNCT
cet-835	21	10	scan	scan	NOUN
cet-835	21	11	imaging	imaging	NOUN
cet-835	21	12	spectrometer	spectrometer	NOUN
cet-835	21	13	is	be	AUX
cet-835	21	14	between	between	ADP
cet-835	21	15	874	874	NUM
cet-835	21	16	-	-	SYM
cet-835	21	17	1734	1734	NUM
cet-835	21	18	nm	nm	NOUN
cet-835	21	19	,	,	PUNCT
cet-835	21	20	and	and	CCONJ
cet-835	21	21	the	the	DET
cet-835	21	22	spectral	spectral	ADJ
cet-835	21	23	resolution	resolution	NOUN
cet-835	21	24	is	be	AUX
cet-835	21	25	5	5	NUM
cet-835	21	26	nm	nm	NOUN
cet-835	21	27	.	.	PUNCT
cet-835	22	1	the	the	DET
cet-835	22	2	sample	sample	NOUN
cet-835	22	3	delivery	delivery	NOUN
cet-835	22	4	platform	platform	NOUN
cet-835	22	5	is	be	AUX
cet-835	22	6	ircp0076	ircp0076	PROPN
cet-835	22	7	-	-	PUNCT
cet-835	22	8	type	type	NOUN
cet-835	22	9	electric	electric	ADJ
cet-835	22	10	-	-	PUNCT
cet-835	22	11	control	control	NOUN
cet-835	22	12	shift	shift	NOUN
cet-835	22	13	platform	platform	NOUN
cet-835	22	14	(	(	PUNCT
cet-835	22	15	isuzu	isuzu	PROPN
cet-835	22	16	optics	optics	PROPN
cet-835	22	17	corp	corp	PROPN
cet-835	22	18	,	,	PUNCT
cet-835	22	19	taiwan	taiwan	PROPN
cet-835	22	20	,	,	PUNCT
cet-835	22	21	china	china	PROPN
cet-835	22	22	)	)	PUNCT
cet-835	22	23	(	(	PUNCT
cet-835	22	24	ni	ni	PROPN
cet-835	22	25	and	and	CCONJ
cet-835	22	26	ma	ma	PROPN
cet-835	22	27	,	,	PUNCT
cet-835	22	28	2017	2017	NUM
cet-835	22	29	)	)	PUNCT
cet-835	22	30	.	.	PUNCT
cet-835	23	1	the	the	DET
cet-835	23	2	resolution	resolution	NOUN
cet-835	23	3	ratio	ratio	NOUN
cet-835	23	4	of	of	ADP
cet-835	23	5	near	near	ADV
cet-835	23	6	-	-	PUNCT
cet-835	23	7	infrared	infrared	ADJ
cet-835	23	8	hyperspectral	hyperspectral	ADJ
cet-835	23	9	image	image	NOUN
cet-835	23	10	is	be	AUX
cet-835	23	11	320	320	NUM
cet-835	23	12	*	*	SYM
cet-835	23	13	256	256	NUM
cet-835	23	14	pixel	pixel	NOUN
cet-835	23	15	(	(	PUNCT
cet-835	23	16	papa	papa	NOUN
cet-835	23	17	et	et	PROPN
cet-835	23	18	al	al	PROPN
cet-835	23	19	.	.	PROPN
cet-835	23	20	,	,	PUNCT
cet-835	23	21	2016	2016	NUM
cet-835	23	22	)	)	PUNCT
cet-835	23	23	.	.	PUNCT
cet-835	24	1	in	in	ADP
cet-835	24	2	case	case	NOUN
cet-835	24	3	of	of	ADP
cet-835	24	4	nearinfrared	nearinfrared	ADJ
cet-835	24	5	hyperspectral	hyperspectral	ADJ
cet-835	24	6	image	image	NOUN
cet-835	24	7	collection	collection	NOUN
cet-835	24	8	,	,	PUNCT
cet-835	24	9	the	the	DET
cet-835	24	10	parameters	parameter	NOUN
cet-835	24	11	setting	set	VERB
cet-835	24	12	should	should	AUX
cet-835	24	13	be	be	AUX
cet-835	24	14	implemented	implement	VERB
cet-835	24	15	through	through	ADP
cet-835	24	16	the	the	DET
cet-835	24	17	collection	collection	NOUN
cet-835	24	18	software	software	NOUN
cet-835	24	19	(	(	PUNCT
cet-835	24	20	pardo	pardo	PROPN
cet-835	24	21	et	et	PROPN
cet-835	24	22	al	al	PROPN
cet-835	24	23	.	.	PROPN
cet-835	24	24	,	,	PUNCT
cet-835	24	25	2017	2017	NUM
cet-835	24	26	)	)	PUNCT
cet-835	24	27	.	.	PUNCT
cet-835	25	1	the	the	DET
cet-835	25	2	image	image	NOUN
cet-835	25	3	collection	collection	NOUN
cet-835	25	4	software	software	NOUN
cet-835	25	5	of	of	ADP
cet-835	25	6	near	near	ADV
cet-835	25	7	-	-	PUNCT
cet-835	25	8	infrared	infrared	ADJ
cet-835	25	9	hyperspectral	hyperspectral	ADJ
cet-835	25	10	imaging	imaging	NOUN
cet-835	25	11	system	system	NOUN
cet-835	25	12	is	be	AUX
cet-835	25	13	provided	provide	VERB
cet-835	25	14	by	by	ADP
cet-835	25	15	taiwan	taiwan	PROPN
cet-835	25	16	isuzu	isuzu	PROPN
cet-835	25	17	optics	optic	NOUN
cet-835	25	18	(	(	PUNCT
cet-835	25	19	priebe	priebe	NOUN
cet-835	25	20	et	et	PROPN
cet-835	25	21	al	al	PROPN
cet-835	25	22	.	.	PROPN
cet-835	25	23	,	,	PUNCT
cet-835	25	24	2004	2004	NUM
cet-835	25	25	)	)	PUNCT
cet-835	25	26	.	.	PUNCT
cet-835	26	1	it	it	PRON
cet-835	26	2	is	be	AUX
cet-835	26	3	mainly	mainly	ADV
cet-835	26	4	used	use	VERB
cet-835	26	5	to	to	PART
cet-835	26	6	control	control	VERB
cet-835	26	7	parameters	parameter	NOUN
cet-835	26	8	collected	collect	VERB
cet-835	26	9	by	by	ADP
cet-835	26	10	the	the	DET
cet-835	26	11	image	image	NOUN
cet-835	26	12	,	,	PUNCT
cet-835	26	13	including	include	VERB
cet-835	26	14	the	the	DET
cet-835	26	15	moving	move	VERB
cet-835	26	16	speed	speed	NOUN
cet-835	26	17	of	of	ADP
cet-835	26	18	the	the	DET
cet-835	26	19	platform	platform	NOUN
cet-835	26	20	and	and	CCONJ
cet-835	26	21	the	the	DET
cet-835	26	22	exposure	exposure	NOUN
cet-835	26	23	time	time	NOUN
cet-835	26	24	of	of	ADP
cet-835	26	25	the	the	DET
cet-835	26	26	camera	camera	NOUN
cet-835	26	27	etc	etc	X
cet-835	26	28	(	(	PUNCT
cet-835	26	29	rodriguez	rodriguez	NOUN
cet-835	26	30	et	et	PROPN
cet-835	26	31	al	al	PROPN
cet-835	26	32	.	.	PROPN
cet-835	26	33	,	,	PUNCT
cet-835	26	34	2017	2017	NUM
cet-835	26	35	)	)	PUNCT
cet-835	26	36	.	.	PUNCT
cet-835	27	1	the	the	DET
cet-835	27	2	objective	objective	NOUN
cet-835	27	3	of	of	ADP
cet-835	27	4	image	image	NOUN
cet-835	27	5	parameters	parameter	NOUN
cet-835	27	6	adjustment	adjustment	NOUN
cet-835	27	7	is	be	AUX
cet-835	27	8	to	to	PART
cet-835	27	9	obtain	obtain	VERB
cet-835	27	10	the	the	DET
cet-835	27	11	clear	clear	ADJ
cet-835	27	12	,	,	PUNCT
cet-835	27	13	distortionless	distortionless	ADJ
cet-835	27	14	and	and	CCONJ
cet-835	27	15	sizeable	sizeable	ADJ
cet-835	27	16	hyperspectral	hyperspectral	ADJ
cet-835	27	17	image	image	NOUN
cet-835	27	18	so	so	SCONJ
cet-835	27	19	as	as	SCONJ
cet-835	27	20	to	to	PART
cet-835	27	21	make	make	VERB
cet-835	27	22	better	well	ADJ
cet-835	27	23	preparation	preparation	NOUN
cet-835	27	24	for	for	ADP
cet-835	27	25	the	the	DET
cet-835	27	26	next	next	ADJ
cet-835	27	27	experiment	experiment	NOUN
cet-835	27	28	(	(	PUNCT
cet-835	27	29	samek	samek	NOUN
cet-835	27	30	et	et	PROPN
cet-835	27	31	al	al	PROPN
cet-835	27	32	.	.	PROPN
cet-835	27	33	,	,	PUNCT
cet-835	27	34	2017	2017	NUM
cet-835	27	35	)	)	PUNCT
cet-835	27	36	.	.	PUNCT
cet-835	28	1	3	3	X
cet-835	28	2	.	.	X
cet-835	28	3	hyperspectral	hyperspectral	ADJ
cet-835	28	4	image	image	NOUN
cet-835	28	5	preprocessing	preprocesse	VERB
cet-835	28	6	the	the	DET
cet-835	28	7	image	image	NOUN
cet-835	28	8	preprocessing	preprocessing	NOUN
cet-835	28	9	is	be	AUX
cet-835	28	10	the	the	DET
cet-835	28	11	operation	operation	NOUN
cet-835	28	12	of	of	ADP
cet-835	28	13	feature	feature	NOUN
cet-835	28	14	extraction	extraction	NOUN
cet-835	28	15	and	and	CCONJ
cet-835	28	16	pre	pre	NOUN
cet-835	28	17	-	-	ADJ
cet-835	28	18	modelling	modelling	ADJ
cet-835	28	19	on	on	ADP
cet-835	28	20	the	the	DET
cet-835	28	21	input	input	NOUN
cet-835	28	22	image	image	NOUN
cet-835	28	23	,	,	PUNCT
cet-835	28	24	and	and	CCONJ
cet-835	28	25	the	the	DET
cet-835	28	26	main	main	ADJ
cet-835	28	27	objective	objective	NOUN
cet-835	28	28	of	of	ADP
cet-835	28	29	which	which	PRON
cet-835	28	30	is	be	AUX
cet-835	28	31	to	to	PART
cet-835	28	32	enhance	enhance	VERB
cet-835	28	33	the	the	DET
cet-835	28	34	valuable	valuable	ADJ
cet-835	28	35	information	information	NOUN
cet-835	28	36	inside	inside	ADP
cet-835	28	37	the	the	DET
cet-835	28	38	image	image	NOUN
cet-835	28	39	,	,	PUNCT
cet-835	28	40	and	and	CCONJ
cet-835	28	41	in	in	ADP
cet-835	28	42	the	the	DET
cet-835	28	43	meanwhile	meanwhile	NOUN
cet-835	28	44	,	,	PUNCT
cet-835	28	45	to	to	PART
cet-835	28	46	restrain	restrain	VERB
cet-835	28	47	the	the	DET
cet-835	28	48	information	information	NOUN
cet-835	28	49	which	which	PRON
cet-835	28	50	may	may	AUX
cet-835	28	51	cause	cause	VERB
cet-835	28	52	unnecessary	unnecessary	ADJ
cet-835	28	53	interference	interference	NOUN
cet-835	28	54	on	on	ADP
cet-835	28	55	the	the	DET
cet-835	28	56	feature	feature	NOUN
cet-835	28	57	extraction	extraction	NOUN
cet-835	28	58	and	and	CCONJ
cet-835	28	59	data	datum	NOUN
cet-835	28	60	modelling	modelling	NOUN
cet-835	28	61	later	later	ADV
cet-835	28	62	in	in	ADP
cet-835	28	63	the	the	DET
cet-835	28	64	image	image	NOUN
cet-835	28	65	(	(	PUNCT
cet-835	28	66	selvam	selvam	ADJ
cet-835	28	67	and	and	CCONJ
cet-835	28	68	karuppiah	karuppiah	PROPN
cet-835	28	69	,	,	PUNCT
cet-835	28	70	2017	2017	NUM
cet-835	28	71	)	)	PUNCT
cet-835	28	72	.	.	PUNCT
cet-835	29	1	the	the	DET
cet-835	29	2	final	final	ADJ
cet-835	29	3	objective	objective	NOUN
cet-835	29	4	of	of	ADP
cet-835	29	5	the	the	DET
cet-835	29	6	preprocessing	preprocessing	NOUN
cet-835	29	7	in	in	ADP
cet-835	29	8	the	the	DET
cet-835	29	9	experiment	experiment	NOUN
cet-835	29	10	is	be	AUX
cet-835	29	11	to	to	PART
cet-835	29	12	obtain	obtain	VERB
cet-835	29	13	the	the	DET
cet-835	29	14	external	external	ADJ
cet-835	29	15	profile	profile	NOUN
cet-835	29	16	information	information	NOUN
cet-835	29	17	of	of	ADP
cet-835	29	18	the	the	DET
cet-835	29	19	seed	seed	NOUN
cet-835	29	20	;	;	PUNCT
cet-835	29	21	however	however	ADV
cet-835	29	22	,	,	PUNCT
cet-835	29	23	hyperspectral	hyperspectral	ADJ
cet-835	29	24	image	image	NOUN
cet-835	29	25	is	be	AUX
cet-835	29	26	the	the	DET
cet-835	29	27	threedimensional	threedimensional	ADJ
cet-835	29	28	information	information	NOUN
cet-835	29	29	containing	contain	VERB
cet-835	29	30	the	the	DET
cet-835	29	31	two	two	NUM
cet-835	29	32	-	-	PUNCT
cet-835	29	33	dimensional	dimensional	ADJ
cet-835	29	34	image	image	NOUN
cet-835	29	35	information	information	NOUN
cet-835	29	36	and	and	CCONJ
cet-835	29	37	one	one	NUM
cet-835	29	38	-	-	PUNCT
cet-835	29	39	dimensional	dimensional	ADJ
cet-835	29	40	waveband	waveband	NOUN
cet-835	29	41	information	information	NOUN
cet-835	29	42	(	(	PUNCT
cet-835	29	43	tan	tan	NOUN
cet-835	29	44	et	et	NOUN
cet-835	29	45	al	al	PROPN
cet-835	29	46	.	.	PROPN
cet-835	29	47	,	,	PUNCT
cet-835	29	48	2017	2017	NUM
cet-835	29	49	)	)	PUNCT
cet-835	29	50	;	;	PUNCT
cet-835	29	51	the	the	DET
cet-835	29	52	profile	profile	NOUN
cet-835	29	53	information	information	NOUN
cet-835	29	54	of	of	ADP
cet-835	29	55	the	the	DET
cet-835	29	56	seed	seed	NOUN
cet-835	29	57	corresponding	correspond	VERB
cet-835	29	58	to	to	ADP
cet-835	29	59	each	each	DET
cet-835	29	60	waveband	waveband	NOUN
cet-835	29	61	is	be	AUX
cet-835	29	62	unique	unique	ADJ
cet-835	29	63	.	.	PUNCT
cet-835	30	1	in	in	ADP
cet-835	30	2	order	order	NOUN
cet-835	30	3	to	to	PART
cet-835	30	4	avoid	avoid	VERB
cet-835	30	5	the	the	DET
cet-835	30	6	complexity	complexity	NOUN
cet-835	30	7	of	of	ADP
cet-835	30	8	the	the	DET
cet-835	30	9	experiment	experiment	NOUN
cet-835	30	10	operation	operation	NOUN
cet-835	30	11	,	,	PUNCT
cet-835	30	12	the	the	DET
cet-835	30	13	envi4.3	envi4.3	ADJ
cet-835	30	14	software	software	NOUN
cet-835	30	15	is	be	AUX
cet-835	30	16	used	use	VERB
cet-835	30	17	in	in	ADP
cet-835	30	18	the	the	DET
cet-835	30	19	experiment	experiment	NOUN
cet-835	30	20	to	to	PART
cet-835	30	21	select	select	VERB
cet-835	30	22	the	the	DET
cet-835	30	23	image	image	NOUN
cet-835	30	24	showing	show	VERB
cet-835	30	25	the	the	DET
cet-835	30	26	clear	clear	ADJ
cet-835	30	27	profile	profile	NOUN
cet-835	30	28	of	of	ADP
cet-835	30	29	corn	corn	NOUN
cet-835	30	30	seed	seed	NOUN
cet-835	30	31	in	in	ADP
cet-835	30	32	a	a	DET
cet-835	30	33	waveband	waveband	NOUN
cet-835	30	34	for	for	ADP
cet-835	30	35	the	the	DET
cet-835	30	36	preprocessing	preprocessing	NOUN
cet-835	30	37	operation	operation	NOUN
cet-835	30	38	;	;	PUNCT
cet-835	30	39	finally	finally	ADV
cet-835	30	40	,	,	PUNCT
cet-835	30	41	the	the	DET
cet-835	30	42	profile	profile	NOUN
cet-835	30	43	extracted	extract	VERB
cet-835	30	44	will	will	AUX
cet-835	30	45	be	be	AUX
cet-835	30	46	mapped	map	VERB
cet-835	30	47	to	to	ADP
cet-835	30	48	all	all	DET
cet-835	30	49	wavebands	waveband	NOUN
cet-835	30	50	so	so	SCONJ
cet-835	30	51	as	as	SCONJ
cet-835	30	52	to	to	PART
cet-835	30	53	extract	extract	VERB
cet-835	30	54	the	the	DET
cet-835	30	55	spectral	spectral	ADJ
cet-835	30	56	information	information	NOUN
cet-835	30	57	of	of	ADP
cet-835	30	58	all	all	DET
cet-835	30	59	wavebands	waveband	NOUN
cet-835	30	60	of	of	ADP
cet-835	30	61	the	the	DET
cet-835	30	62	seed	seed	NOUN
cet-835	30	63	.	.	PUNCT
cet-835	31	1	see	see	VERB
cet-835	31	2	the	the	DET
cet-835	31	3	preprocessing	preprocessing	NOUN
cet-835	31	4	operation	operation	NOUN
cet-835	31	5	procedures	procedure	NOUN
cet-835	31	6	in	in	ADP
cet-835	31	7	the	the	DET
cet-835	31	8	figure	figure	NOUN
cet-835	31	9	1	1	NUM
cet-835	31	10	.	.	PUNCT
cet-835	31	11	figure	figure	NOUN
cet-835	31	12	1	1	NUM
cet-835	31	13	:	:	PUNCT
cet-835	31	14	preprocessing	preprocesse	VERB
cet-835	31	15	operation	operation	NOUN
cet-835	31	16	of	of	ADP
cet-835	31	17	hyperspectral	hyperspectral	ADJ
cet-835	31	18	image	image	NOUN
cet-835	31	19	identification	identification	NOUN
cet-835	31	20	of	of	ADP
cet-835	31	21	the	the	DET
cet-835	31	22	seed	seed	NOUN
cet-835	31	23	4	4	NUM
cet-835	31	24	.	.	PUNCT
cet-835	32	1	technical	technical	ADJ
cet-835	32	2	route	route	NOUN
cet-835	32	3	for	for	ADP
cet-835	32	4	hyperspectral	hyperspectral	ADJ
cet-835	32	5	image	image	NOUN
cet-835	32	6	identification	identification	NOUN
cet-835	32	7	of	of	ADP
cet-835	32	8	the	the	DET
cet-835	32	9	seed	seed	NOUN
cet-835	32	10	see	see	VERB
cet-835	32	11	the	the	DET
cet-835	32	12	technical	technical	ADJ
cet-835	32	13	route	route	NOUN
cet-835	32	14	of	of	ADP
cet-835	32	15	hyperspectral	hyperspectral	ADJ
cet-835	32	16	image	image	NOUN
cet-835	32	17	identification	identification	NOUN
cet-835	32	18	system	system	NOUN
cet-835	32	19	of	of	ADP
cet-835	32	20	the	the	DET
cet-835	32	21	seed	seed	NOUN
cet-835	32	22	in	in	ADP
cet-835	32	23	figure	figure	NOUN
cet-835	32	24	2	2	NUM
cet-835	32	25	,	,	PUNCT
cet-835	32	26	which	which	PRON
cet-835	32	27	includes	include	VERB
cet-835	32	28	the	the	DET
cet-835	32	29	collection	collection	NOUN
cet-835	32	30	of	of	ADP
cet-835	32	31	hyperspectral	hyperspectral	ADJ
cet-835	32	32	images	image	NOUN
cet-835	32	33	,	,	PUNCT
cet-835	32	34	correction	correction	NOUN
cet-835	32	35	and	and	CCONJ
cet-835	32	36	preprocessing	preprocessing	NOUN
cet-835	32	37	of	of	ADP
cet-835	32	38	images	image	NOUN
cet-835	32	39	,	,	PUNCT
cet-835	32	40	image	image	NOUN
cet-835	32	41	division	division	NOUN
cet-835	32	42	and	and	CCONJ
cet-835	32	43	feature	feature	NOUN
cet-835	32	44	extraction	extraction	NOUN
cet-835	32	45	(	(	PUNCT
cet-835	32	46	wang	wang	PROPN
cet-835	32	47	et	et	PROPN
cet-835	32	48	al	al	PROPN
cet-835	32	49	.	.	PROPN
cet-835	32	50	,	,	PUNCT
cet-835	32	51	2017	2017	NUM
cet-835	32	52	)	)	PUNCT
cet-835	32	53	;	;	PUNCT
cet-835	32	54	the	the	DET
cet-835	32	55	prediction	prediction	NOUN
cet-835	32	56	is	be	AUX
cet-835	32	57	implemented	implement	VERB
cet-835	32	58	to	to	ADP
cet-835	32	59	the	the	DET
cet-835	32	60	samples	sample	NOUN
cet-835	32	61	to	to	PART
cet-835	32	62	be	be	AUX
cet-835	32	63	tested	test	VERB
cet-835	32	64	by	by	ADP
cet-835	32	65	modelling	model	VERB
cet-835	32	66	and	and	CCONJ
cet-835	32	67	using	use	VERB
cet-835	32	68	the	the	DET
cet-835	32	69	well	well	ADV
cet-835	32	70	-	-	PUNCT
cet-835	32	71	trained	train	VERB
cet-835	32	72	models	model	NOUN
cet-835	32	73	so	so	SCONJ
cet-835	32	74	as	as	SCONJ
cet-835	32	75	to	to	PART
cet-835	32	76	achieve	achieve	VERB
cet-835	32	77	the	the	DET
cet-835	32	78	seed	seed	NOUN
cet-835	32	79	purity	purity	NOUN
cet-835	32	80	identification	identification	NOUN
cet-835	32	81	(	(	PUNCT
cet-835	32	82	xia	xia	PROPN
cet-835	32	83	et	et	PROPN
cet-835	32	84	al	al	PROPN
cet-835	32	85	.	.	PROPN
cet-835	32	86	,	,	PUNCT
cet-835	32	87	2016	2016	NUM
cet-835	32	88	)	)	PUNCT
cet-835	32	89	.	.	PUNCT
cet-835	33	1	218	218	NUM
cet-835	33	2	figure	figure	NOUN
cet-835	33	3	2	2	NUM
cet-835	33	4	:	:	PUNCT
cet-835	33	5	technical	technical	ADJ
cet-835	33	6	route	route	NOUN
cet-835	33	7	of	of	ADP
cet-835	33	8	hyperspectral	hyperspectral	ADJ
cet-835	33	9	image	image	NOUN
cet-835	33	10	identification	identification	NOUN
cet-835	33	11	of	of	ADP
cet-835	33	12	the	the	DET
cet-835	33	13	seed	seed	NOUN
cet-835	33	14	5	5	NUM
cet-835	33	15	.	.	PUNCT
cet-835	33	16	experiment	experiment	NOUN
cet-835	33	17	result	result	NOUN
cet-835	33	18	and	and	CCONJ
cet-835	33	19	analysis	analysis	NOUN
cet-835	33	20	5.1	5.1	NUM
cet-835	33	21	establishment	establishment	NOUN
cet-835	33	22	of	of	ADP
cet-835	33	23	core	core	NOUN
cet-835	33	24	-	-	PUNCT
cet-835	33	25	seed	seed	NOUN
cet-835	33	26	purity	purity	NOUN
cet-835	33	27	detection	detection	NOUN
cet-835	33	28	model	model	NOUN
cet-835	33	29	in	in	ADP
cet-835	33	30	order	order	NOUN
cet-835	33	31	to	to	PART
cet-835	33	32	eliminate	eliminate	VERB
cet-835	33	33	the	the	DET
cet-835	33	34	influence	influence	NOUN
cet-835	33	35	of	of	ADP
cet-835	33	36	overlarge	overlarge	ADJ
cet-835	33	37	difference	difference	NOUN
cet-835	33	38	among	among	ADP
cet-835	33	39	characteristic	characteristic	ADJ
cet-835	33	40	parameters	parameter	NOUN
cet-835	33	41	of	of	ADP
cet-835	33	42	different	different	ADJ
cet-835	33	43	wavebands	waveband	NOUN
cet-835	33	44	on	on	ADP
cet-835	33	45	the	the	DET
cet-835	33	46	modelling	modelling	NOUN
cet-835	33	47	result	result	NOUN
cet-835	33	48	,	,	PUNCT
cet-835	33	49	the	the	DET
cet-835	33	50	characteristic	characteristic	ADJ
cet-835	33	51	parameters	parameter	NOUN
cet-835	33	52	are	be	AUX
cet-835	33	53	subject	subject	ADJ
cet-835	33	54	to	to	ADP
cet-835	33	55	the	the	DET
cet-835	33	56	normalization	normalization	NOUN
cet-835	33	57	processing	processing	NOUN
cet-835	33	58	before	before	ADP
cet-835	33	59	modelling	modelling	NOUN
cet-835	33	60	of	of	ADP
cet-835	33	61	corn	corn	NOUN
cet-835	33	62	-	-	PUNCT
cet-835	33	63	seed	seed	NOUN
cet-835	33	64	purity	purity	NOUN
cet-835	33	65	detection	detection	NOUN
cet-835	33	66	.	.	PUNCT
cet-835	34	1	then	then	ADV
cet-835	34	2	two	two	NUM
cet-835	34	3	groups	group	NOUN
cet-835	34	4	of	of	ADP
cet-835	34	5	experiment	experiment	NOUN
cet-835	34	6	are	be	AUX
cet-835	34	7	designed	design	VERB
cet-835	34	8	for	for	ADP
cet-835	34	9	the	the	DET
cet-835	34	10	data	datum	NOUN
cet-835	34	11	after	after	ADP
cet-835	34	12	normalization	normalization	NOUN
cet-835	34	13	processing	processing	NOUN
cet-835	34	14	,	,	PUNCT
cet-835	34	15	which	which	PRON
cet-835	34	16	is	be	AUX
cet-835	34	17	the	the	DET
cet-835	34	18	corn	corn	NOUN
cet-835	34	19	-	-	PUNCT
cet-835	34	20	seed	seed	NOUN
cet-835	34	21	purity	purity	NOUN
cet-835	34	22	detection	detection	NOUN
cet-835	34	23	models	model	NOUN
cet-835	34	24	of	of	ADP
cet-835	34	25	2010	2010	NUM
cet-835	34	26	and	and	CCONJ
cet-835	34	27	2011	2011	NUM
cet-835	34	28	.	.	PUNCT
cet-835	35	1	firstly	firstly	ADV
cet-835	35	2	,	,	PUNCT
cet-835	35	3	the	the	DET
cet-835	35	4	kennard	kennard	NOUN
cet-835	35	5	-	-	PUNCT
cet-835	35	6	stone	stone	NOUN
cet-835	35	7	algorithm	algorithm	NOUN
cet-835	35	8	(	(	PUNCT
cet-835	35	9	ks	ks	NOUN
cet-835	35	10	)	)	PUNCT
cet-835	35	11	is	be	AUX
cet-835	35	12	used	use	VERB
cet-835	35	13	to	to	PART
cet-835	35	14	divide	divide	VERB
cet-835	35	15	the	the	DET
cet-835	35	16	xy2010	xy2010	PROPN
cet-835	35	17	and	and	CCONJ
cet-835	35	18	zd2010	zd2010	PROPN
cet-835	35	19	of	of	ADP
cet-835	35	20	corn	corn	NOUN
cet-835	35	21	seed	seed	NOUN
cet-835	35	22	of	of	ADP
cet-835	35	23	the	the	DET
cet-835	35	24	year	year	NOUN
cet-835	35	25	2011	2011	NUM
cet-835	35	26	into	into	ADP
cet-835	35	27	the	the	DET
cet-835	35	28	training	training	NOUN
cet-835	35	29	set	set	NOUN
cet-835	35	30	and	and	CCONJ
cet-835	35	31	the	the	DET
cet-835	35	32	test	test	NOUN
cet-835	35	33	set	set	VERB
cet-835	35	34	based	base	VERB
cet-835	35	35	on	on	ADP
cet-835	35	36	different	different	ADJ
cet-835	35	37	proportions	proportion	NOUN
cet-835	35	38	(	(	PUNCT
cet-835	35	39	1:1	1:1	NUM
cet-835	35	40	,	,	PUNCT
cet-835	35	41	3:1	3:1	NUM
cet-835	35	42	and	and	CCONJ
cet-835	35	43	4:1	4:1	NUM
cet-835	35	44	)	)	PUNCT
cet-835	35	45	,	,	PUNCT
cet-835	35	46	and	and	CCONJ
cet-835	35	47	the	the	DET
cet-835	35	48	svm	svm	PROPN
cet-835	35	49	categoryprediction	categoryprediction	NOUN
cet-835	35	50	model	model	PROPN
cet-835	35	51	m2010	m2010	PROPN
cet-835	35	52	is	be	AUX
cet-835	35	53	set	set	VERB
cet-835	35	54	up	up	ADP
cet-835	35	55	so	so	ADV
cet-835	35	56	as	as	SCONJ
cet-835	35	57	to	to	PART
cet-835	35	58	obtain	obtain	VERB
cet-835	35	59	the	the	DET
cet-835	35	60	training	training	NOUN
cet-835	35	61	accuracy	accuracy	NOUN
cet-835	35	62	cr	cr	NOUN
cet-835	35	63	and	and	CCONJ
cet-835	35	64	prediction	prediction	NOUN
cet-835	35	65	accuracy	accuracy	NOUN
cet-835	35	66	p1r	p1r	NOUN
cet-835	35	67	(	(	PUNCT
cet-835	35	68	yang	yang	PROPN
cet-835	35	69	w	w	PROPN
cet-835	35	70	,	,	PUNCT
cet-835	35	71	et	et	PROPN
cet-835	35	72	al	al	PROPN
cet-835	35	73	,	,	PUNCT
cet-835	35	74	2017	2017	NUM
cet-835	35	75	)	)	PUNCT
cet-835	35	76	.	.	PUNCT
cet-835	36	1	then	then	ADV
cet-835	36	2	the	the	DET
cet-835	36	3	svm	svm	ADJ
cet-835	36	4	category	category	NOUN
cet-835	36	5	-	-	PUNCT
cet-835	36	6	prediction	prediction	NOUN
cet-835	36	7	model	model	NOUN
cet-835	36	8	m2011	m2011	PROPN
cet-835	36	9	of	of	ADP
cet-835	36	10	corn	corn	NOUN
cet-835	36	11	seed	seed	NOUN
cet-835	36	12	of	of	ADP
cet-835	36	13	year	year	NOUN
cet-835	36	14	2011	2011	NUM
cet-835	36	15	is	be	AUX
cet-835	36	16	set	set	VERB
cet-835	36	17	up	up	ADP
cet-835	36	18	with	with	ADP
cet-835	36	19	the	the	DET
cet-835	36	20	same	same	ADJ
cet-835	36	21	method	method	NOUN
cet-835	36	22	.	.	PUNCT
cet-835	37	1	at	at	ADP
cet-835	37	2	last	last	ADV
cet-835	37	3	,	,	PUNCT
cet-835	37	4	in	in	ADP
cet-835	37	5	order	order	NOUN
cet-835	37	6	to	to	PART
cet-835	37	7	inspect	inspect	VERB
cet-835	37	8	the	the	DET
cet-835	37	9	suitability	suitability	NOUN
cet-835	37	10	of	of	ADP
cet-835	37	11	the	the	DET
cet-835	37	12	model	model	NOUN
cet-835	37	13	to	to	ADP
cet-835	37	14	samples	sample	NOUN
cet-835	37	15	of	of	ADP
cet-835	37	16	other	other	ADJ
cet-835	37	17	years	year	NOUN
cet-835	37	18	,	,	PUNCT
cet-835	37	19	the	the	DET
cet-835	37	20	m2010	m2010	PROPN
cet-835	37	21	is	be	AUX
cet-835	37	22	used	use	VERB
cet-835	37	23	to	to	PART
cet-835	37	24	predict	predict	VERB
cet-835	37	25	400	400	NUM
cet-835	37	26	corn	corn	NOUN
cet-835	37	27	seeds	seed	NOUN
cet-835	37	28	of	of	ADP
cet-835	37	29	year	year	NOUN
cet-835	37	30	2011	2011	NUM
cet-835	37	31	and	and	CCONJ
cet-835	37	32	m2011	m2011	PROPN
cet-835	37	33	is	be	AUX
cet-835	37	34	used	use	VERB
cet-835	37	35	to	to	PART
cet-835	37	36	predict	predict	VERB
cet-835	37	37	240	240	NUM
cet-835	37	38	corn	corn	NOUN
cet-835	37	39	seeds	seed	NOUN
cet-835	37	40	of	of	ADP
cet-835	37	41	year	year	NOUN
cet-835	37	42	2010	2010	NUM
cet-835	37	43	directly	directly	ADV
cet-835	37	44	and	and	CCONJ
cet-835	37	45	separately	separately	ADV
cet-835	37	46	,	,	PUNCT
cet-835	37	47	the	the	DET
cet-835	37	48	prediction	prediction	NOUN
cet-835	37	49	accuracy	accuracy	NOUN
cet-835	37	50	of	of	ADP
cet-835	37	51	which	which	PRON
cet-835	37	52	is	be	AUX
cet-835	37	53	rp2	rp2	ADJ
cet-835	37	54	;	;	PUNCT
cet-835	37	55	see	see	VERB
cet-835	37	56	the	the	DET
cet-835	37	57	corn	corn	NOUN
cet-835	37	58	-	-	PUNCT
cet-835	37	59	seed	seed	NOUN
cet-835	37	60	purity	purity	NOUN
cet-835	37	61	detection	detection	NOUN
cet-835	37	62	model	model	NOUN
cet-835	37	63	result	result	NOUN
cet-835	37	64	in	in	ADP
cet-835	37	65	the	the	DET
cet-835	37	66	table	table	NOUN
cet-835	37	67	1	1	NUM
cet-835	37	68	.	.	PUNCT
cet-835	38	1	according	accord	VERB
cet-835	38	2	to	to	ADP
cet-835	38	3	this	this	DET
cet-835	38	4	table	table	NOUN
cet-835	38	5	,	,	PUNCT
cet-835	38	6	the	the	DET
cet-835	38	7	prediction	prediction	NOUN
cet-835	38	8	accuracy	accuracy	NOUN
cet-835	38	9	of	of	ADP
cet-835	38	10	m2010	m2010	PROPN
cet-835	38	11	and	and	CCONJ
cet-835	38	12	m2011	m2011	PROPN
cet-835	38	13	on	on	ADP
cet-835	38	14	the	the	DET
cet-835	38	15	corn	corn	NOUN
cet-835	38	16	seed	seed	NOUN
cet-835	38	17	of	of	ADP
cet-835	38	18	the	the	DET
cet-835	38	19	same	same	ADJ
cet-835	38	20	year	year	NOUN
cet-835	38	21	reaches	reach	VERB
cet-835	38	22	100	100	NUM
cet-835	38	23	%	%	NOUN
cet-835	38	24	;	;	PUNCT
cet-835	38	25	however	however	ADV
cet-835	38	26	,	,	PUNCT
cet-835	38	27	according	accord	VERB
cet-835	38	28	to	to	ADP
cet-835	38	29	the	the	DET
cet-835	38	30	suitability	suitability	NOUN
cet-835	38	31	detection	detection	NOUN
cet-835	38	32	of	of	ADP
cet-835	38	33	the	the	DET
cet-835	38	34	new	new	ADJ
cet-835	38	35	sample	sample	NOUN
cet-835	38	36	,	,	PUNCT
cet-835	38	37	the	the	DET
cet-835	38	38	prediction	prediction	NOUN
cet-835	38	39	accuracy	accuracy	NOUN
cet-835	38	40	of	of	ADP
cet-835	38	41	corn	corn	NOUN
cet-835	38	42	seeds	seed	NOUN
cet-835	38	43	of	of	ADP
cet-835	38	44	other	other	ADJ
cet-835	38	45	years	year	NOUN
cet-835	38	46	can	can	AUX
cet-835	38	47	only	only	ADV
cet-835	38	48	reach	reach	VERB
cet-835	38	49	33.8%~54.6	33.8%~54.6	NOUN
cet-835	38	50	%	%	NOUN
cet-835	38	51	,	,	PUNCT
cet-835	38	52	which	which	PRON
cet-835	38	53	further	far	ADV
cet-835	38	54	indicates	indicate	VERB
cet-835	38	55	that	that	SCONJ
cet-835	38	56	the	the	DET
cet-835	38	57	spectral	spectral	ADJ
cet-835	38	58	information	information	NOUN
cet-835	38	59	can	can	AUX
cet-835	38	60	be	be	AUX
cet-835	38	61	easily	easily	ADV
cet-835	38	62	affected	affect	VERB
cet-835	38	63	by	by	ADP
cet-835	38	64	years	year	NOUN
cet-835	38	65	,	,	PUNCT
cet-835	38	66	thus	thus	ADV
cet-835	38	67	the	the	DET
cet-835	38	68	stability	stability	NOUN
cet-835	38	69	of	of	ADP
cet-835	38	70	model	model	NOUN
cet-835	38	71	established	establish	VERB
cet-835	38	72	with	with	ADP
cet-835	38	73	spectral	spectral	ADJ
cet-835	38	74	information	information	NOUN
cet-835	38	75	is	be	AUX
cet-835	38	76	obviously	obviously	ADV
cet-835	38	77	affected	affect	VERB
cet-835	38	78	by	by	ADP
cet-835	38	79	changes	change	NOUN
cet-835	38	80	in	in	ADP
cet-835	38	81	years	year	NOUN
cet-835	38	82	of	of	ADP
cet-835	38	83	the	the	DET
cet-835	38	84	corn	corn	NOUN
cet-835	38	85	seeds	seed	NOUN
cet-835	38	86	;	;	PUNCT
cet-835	38	87	the	the	DET
cet-835	38	88	universal	universal	ADJ
cet-835	38	89	performance	performance	NOUN
cet-835	38	90	of	of	ADP
cet-835	38	91	models	model	NOUN
cet-835	38	92	established	establish	VERB
cet-835	38	93	in	in	ADP
cet-835	38	94	different	different	ADJ
cet-835	38	95	years	year	NOUN
cet-835	38	96	is	be	AUX
cet-835	38	97	poor	poor	ADJ
cet-835	38	98	.	.	PUNCT
cet-835	39	1	219	219	NUM
cet-835	39	2	table	table	NOUN
cet-835	39	3	1	1	NUM
cet-835	39	4	:	:	PUNCT
cet-835	39	5	result	result	NOUN
cet-835	39	6	of	of	ADP
cet-835	39	7	corn	corn	NOUN
cet-835	39	8	-	-	PUNCT
cet-835	39	9	seed	seed	NOUN
cet-835	39	10	purity	purity	NOUN
cet-835	39	11	detection	detection	NOUN
cet-835	39	12	model	model	NOUN
cet-835	39	13	(	(	PUNCT
cet-835	39	14	%	%	INTJ
cet-835	39	15	)	)	PUNCT
cet-835	39	16	division	division	NOUN
cet-835	39	17	ratio	ratio	NOUN
cet-835	39	18	m2010	m2010	PROPN
cet-835	39	19	m2011	m2011	PROPN
cet-835	39	20	rc	rc	PROPN
cet-835	39	21	rp1	rp1	PROPN
cet-835	39	22	rp2	rp2	PROPN
cet-835	39	23	rc	rc	PROPN
cet-835	39	24	rp1	rp1	PROPN
cet-835	39	25	rp2	rp2	PROPN
cet-835	39	26	1:1	1:1	NUM
cet-835	39	27	100	100	NUM
cet-835	39	28	100	100	NUM
cet-835	39	29	47.0	47.0	NUM
cet-835	39	30	100	100	NUM
cet-835	39	31	100	100	NUM
cet-835	39	32	50.8	50.8	NUM
cet-835	39	33	3:1	3:1	NUM
cet-835	39	34	100	100	NUM
cet-835	39	35	100	100	NUM
cet-835	39	36	33.8	33.8	NUM
cet-835	39	37	99.7	99.7	NUM
cet-835	39	38	100	100	NUM
cet-835	39	39	54.6	54.6	NUM
cet-835	39	40	4:1	4:1	NUM
cet-835	39	41	100	100	NUM
cet-835	39	42	100	100	NUM
cet-835	39	43	49.0	49.0	NUM
cet-835	39	44	100	100	NUM
cet-835	39	45	100	100	NUM
cet-835	39	46	53.8	53.8	NUM
cet-835	39	47	table	table	NOUN
cet-835	39	48	2	2	NUM
cet-835	39	49	:	:	PUNCT
cet-835	39	50	prediction	prediction	NOUN
cet-835	39	51	accuracy	accuracy	NOUN
cet-835	39	52	comparison	comparison	NOUN
cet-835	39	53	of	of	ADP
cet-835	39	54	new	new	ADJ
cet-835	39	55	samples	sample	NOUN
cet-835	39	56	before	before	ADP
cet-835	39	57	and	and	CCONJ
cet-835	39	58	after	after	ADP
cet-835	39	59	the	the	DET
cet-835	39	60	upgrading	upgrading	NOUN
cet-835	39	61	of	of	ADP
cet-835	39	62	corn	corn	NOUN
cet-835	39	63	-	-	PUNCT
cet-835	39	64	seed	seed	NOUN
cet-835	39	65	purity	purity	NOUN
cet-835	39	66	detection	detection	NOUN
cet-835	39	67	model	model	NOUN
cet-835	39	68	(	(	PUNCT
cet-835	39	69	%	%	INTJ
cet-835	39	70	)	)	PUNCT
cet-835	39	71	division	division	NOUN
cet-835	39	72	ratio	ratio	NOUN
cet-835	39	73	m2010	m2010	PROPN
cet-835	39	74	m2011	m2011	PROPN
cet-835	39	75	before	before	ADP
cet-835	39	76	updating	update	VERB
cet-835	39	77	after	after	ADP
cet-835	39	78	updating	update	VERB
cet-835	39	79	(	(	PUNCT
cet-835	39	80	40	40	NUM
cet-835	39	81	)	)	PUNCT
cet-835	39	82	before	before	ADP
cet-835	39	83	updating	update	VERB
cet-835	39	84	after	after	ADP
cet-835	39	85	updating	update	VERB
cet-835	39	86	(	(	PUNCT
cet-835	39	87	56	56	NUM
cet-835	39	88	)	)	PUNCT
cet-835	39	89	1:1	1:1	NUM
cet-835	39	90	47.0	47.0	NUM
cet-835	39	91	98.9	98.9	NUM
cet-835	39	92	50.8	50.8	NUM
cet-835	39	93	94.6	94.6	NUM
cet-835	39	94	3:1	3:1	NUM
cet-835	39	95	33.8	33.8	NUM
cet-835	39	96	98.3	98.3	NUM
cet-835	39	97	54.6	54.6	NUM
cet-835	39	98	94.0	94.0	NUM
cet-835	39	99	4:1	4:1	NUM
cet-835	39	100	49.0	49.0	NUM
cet-835	39	101	98.3	98.3	NUM
cet-835	39	102	53.8	53.8	NUM
cet-835	39	103	94.6	94.6	NUM
cet-835	39	104	as	as	SCONJ
cet-835	39	105	shown	show	VERB
cet-835	39	106	in	in	ADP
cet-835	39	107	table	table	NOUN
cet-835	39	108	2	2	NUM
cet-835	39	109	and	and	CCONJ
cet-835	39	110	under	under	ADP
cet-835	39	111	the	the	DET
cet-835	39	112	division	division	NOUN
cet-835	39	113	proportion	proportion	NOUN
cet-835	39	114	of	of	ADP
cet-835	39	115	three	three	NUM
cet-835	39	116	different	different	ADJ
cet-835	39	117	sample	sample	NOUN
cet-835	39	118	sets	set	NOUN
cet-835	39	119	,	,	PUNCT
cet-835	39	120	in	in	ADP
cet-835	39	121	case	case	NOUN
cet-835	39	122	40	40	NUM
cet-835	39	123	new	new	ADJ
cet-835	39	124	samples	sample	NOUN
cet-835	39	125	are	be	AUX
cet-835	39	126	added	add	VERB
cet-835	39	127	by	by	ADP
cet-835	39	128	using	use	VERB
cet-835	39	129	active	active	ADJ
cet-835	39	130	learning	learning	NOUN
cet-835	39	131	are	be	AUX
cet-835	39	132	used	use	VERB
cet-835	39	133	to	to	PART
cet-835	39	134	achieve	achieve	VERB
cet-835	39	135	the	the	DET
cet-835	39	136	upgrading	upgrading	NOUN
cet-835	39	137	of	of	ADP
cet-835	39	138	the	the	DET
cet-835	39	139	2010	2010	NUM
cet-835	39	140	model	model	NOUN
cet-835	39	141	,	,	PUNCT
cet-835	39	142	the	the	DET
cet-835	39	143	prediction	prediction	NOUN
cet-835	39	144	accuracy	accuracy	NOUN
cet-835	39	145	on	on	ADP
cet-835	39	146	new	new	ADJ
cet-835	39	147	samples	sample	NOUN
cet-835	39	148	can	can	AUX
cet-835	39	149	reach	reach	VERB
cet-835	39	150	98.9	98.9	NUM
cet-835	39	151	%	%	NOUN
cet-835	39	152	,	,	PUNCT
cet-835	39	153	98.3	98.3	NUM
cet-835	39	154	%	%	NOUN
cet-835	39	155	and	and	CCONJ
cet-835	39	156	98.3	98.3	NUM
cet-835	39	157	%	%	NOUN
cet-835	39	158	separately	separately	ADV
cet-835	39	159	;	;	PUNCT
cet-835	39	160	in	in	ADP
cet-835	39	161	case	case	NOUN
cet-835	39	162	56	56	NUM
cet-835	39	163	new	new	ADJ
cet-835	39	164	samples	sample	NOUN
cet-835	39	165	are	be	AUX
cet-835	39	166	added	add	VERB
cet-835	39	167	by	by	ADP
cet-835	39	168	using	use	VERB
cet-835	39	169	active	active	ADJ
cet-835	39	170	learning	learning	NOUN
cet-835	39	171	to	to	PART
cet-835	39	172	achieve	achieve	VERB
cet-835	39	173	the	the	DET
cet-835	39	174	upgrade	upgrade	NOUN
cet-835	39	175	of	of	ADP
cet-835	39	176	2011	2011	NUM
cet-835	39	177	model	model	NOUN
cet-835	39	178	,	,	PUNCT
cet-835	39	179	the	the	DET
cet-835	39	180	prediction	prediction	NOUN
cet-835	39	181	accuracy	accuracy	NOUN
cet-835	39	182	on	on	ADP
cet-835	39	183	new	new	ADJ
cet-835	39	184	samples	sample	NOUN
cet-835	39	185	can	can	AUX
cet-835	39	186	also	also	ADV
cet-835	39	187	reach	reach	VERB
cet-835	39	188	94.6	94.6	NUM
cet-835	39	189	%	%	NOUN
cet-835	39	190	,	,	PUNCT
cet-835	39	191	94	94	NUM
cet-835	39	192	%	%	NOUN
cet-835	39	193	and	and	CCONJ
cet-835	39	194	94.6	94.6	NUM
cet-835	39	195	%	%	NOUN
cet-835	39	196	separately	separately	ADV
cet-835	39	197	.	.	PUNCT
cet-835	40	1	no	no	ADV
cet-835	40	2	matter	matter	ADV
cet-835	40	3	the	the	DET
cet-835	40	4	year2010	year2010	PROPN
cet-835	40	5	or	or	CCONJ
cet-835	40	6	the	the	DET
cet-835	40	7	year	year	NOUN
cet-835	40	8	2011	2011	NUM
cet-835	40	9	,	,	PUNCT
cet-835	40	10	the	the	DET
cet-835	40	11	model	model	NOUN
cet-835	40	12	upgraded	upgrade	VERB
cet-835	40	13	based	base	VERB
cet-835	40	14	on	on	ADP
cet-835	40	15	active	active	ADJ
cet-835	40	16	-	-	PUNCT
cet-835	40	17	learning	learn	VERB
cet-835	40	18	algorithm	algorithm	NOUN
cet-835	40	19	is	be	AUX
cet-835	40	20	obviously	obviously	ADV
cet-835	40	21	improved	improve	VERB
cet-835	40	22	compared	compare	VERB
cet-835	40	23	with	with	ADP
cet-835	40	24	the	the	DET
cet-835	40	25	prediction	prediction	NOUN
cet-835	40	26	accuracy	accuracy	NOUN
cet-835	40	27	of	of	ADP
cet-835	40	28	new	new	ADJ
cet-835	40	29	sample	sample	NOUN
cet-835	40	30	before	before	ADP
cet-835	40	31	the	the	DET
cet-835	40	32	upgrading	upgrading	NOUN
cet-835	40	33	;	;	PUNCT
cet-835	40	34	what	what	PRON
cet-835	40	35	’s	’	VERB
cet-835	40	36	more	more	ADJ
cet-835	40	37	,	,	PUNCT
cet-835	40	38	the	the	DET
cet-835	40	39	upgrading	upgrading	NOUN
cet-835	40	40	effect	effect	NOUN
cet-835	40	41	and	and	CCONJ
cet-835	40	42	the	the	DET
cet-835	40	43	division	division	NOUN
cet-835	40	44	proportion	proportion	NOUN
cet-835	40	45	of	of	ADP
cet-835	40	46	old	old	ADJ
cet-835	40	47	sample	sample	NOUN
cet-835	40	48	model	model	NOUN
cet-835	40	49	is	be	AUX
cet-835	40	50	nearly	nearly	ADV
cet-835	40	51	subject	subject	ADJ
cet-835	40	52	to	to	ADP
cet-835	40	53	no	no	DET
cet-835	40	54	relationship	relationship	NOUN
cet-835	40	55	,	,	PUNCT
cet-835	40	56	the	the	DET
cet-835	40	57	better	well	ADJ
cet-835	40	58	stability	stability	NOUN
cet-835	40	59	can	can	AUX
cet-835	40	60	be	be	AUX
cet-835	40	61	achieved	achieve	VERB
cet-835	40	62	.	.	PUNCT
cet-835	41	1	the	the	DET
cet-835	41	2	model	model	NOUN
cet-835	41	3	classification	classification	NOUN
cet-835	41	4	result	result	NOUN
cet-835	41	5	analysis	analysis	NOUN
cet-835	41	6	of	of	ADP
cet-835	41	7	isvdd	isvdd	NOUN
cet-835	41	8	-	-	PUNCT
cet-835	41	9	based	base	VERB
cet-835	41	10	online	online	ADJ
cet-835	41	11	upgrading	upgrading	NOUN
cet-835	41	12	strategy	strategy	NOUN
cet-835	41	13	is	be	AUX
cet-835	41	14	similar	similar	ADJ
cet-835	41	15	to	to	ADP
cet-835	41	16	the	the	DET
cet-835	41	17	model	model	NOUN
cet-835	41	18	before	before	ADP
cet-835	41	19	upgrading	upgrade	VERB
cet-835	41	20	;	;	PUNCT
cet-835	41	21	in	in	ADP
cet-835	41	22	consideration	consideration	NOUN
cet-835	41	23	of	of	ADP
cet-835	41	24	the	the	DET
cet-835	41	25	effect	effect	NOUN
cet-835	41	26	of	of	ADP
cet-835	41	27	randomness	randomness	NOUN
cet-835	41	28	in	in	ADP
cet-835	41	29	sample	sample	NOUN
cet-835	41	30	division	division	NOUN
cet-835	41	31	on	on	ADP
cet-835	41	32	the	the	DET
cet-835	41	33	experiment	experiment	NOUN
cet-835	41	34	result	result	NOUN
cet-835	41	35	,	,	PUNCT
cet-835	41	36	random	random	ADJ
cet-835	41	37	5	5	NUM
cet-835	41	38	times	time	NOUN
cet-835	41	39	are	be	AUX
cet-835	41	40	divided	divide	VERB
cet-835	41	41	in	in	ADP
cet-835	41	42	the	the	DET
cet-835	41	43	training	training	NOUN
cet-835	41	44	set	set	NOUN
cet-835	41	45	(	(	PUNCT
cet-835	41	46	800	800	NUM
cet-835	41	47	*	*	NOUN
cet-835	41	48	94	94	NUM
cet-835	41	49	)	)	PUNCT
cet-835	41	50	and	and	CCONJ
cet-835	41	51	the	the	DET
cet-835	41	52	prediction	prediction	NOUN
cet-835	41	53	set	set	NOUN
cet-835	41	54	(	(	PUNCT
cet-835	41	55	1200	1200	NUM
cet-835	41	56	*	*	SYM
cet-835	41	57	94	94	NUM
cet-835	41	58	)	)	PUNCT
cet-835	41	59	.	.	PUNCT
cet-835	42	1	in	in	ADP
cet-835	42	2	addition	addition	NOUN
cet-835	42	3	,	,	PUNCT
cet-835	42	4	as	as	SCONJ
cet-835	42	5	the	the	DET
cet-835	42	6	sequence	sequence	NOUN
cet-835	42	7	of	of	ADP
cet-835	42	8	learning	learn	VERB
cet-835	42	9	one	one	NUM
cet-835	42	10	-	-	PUNCT
cet-835	42	11	by	by	ADP
cet-835	42	12	-	-	PUNCT
cet-835	42	13	one	one	NUM
cet-835	42	14	of	of	ADP
cet-835	42	15	prediction	prediction	NOUN
cet-835	42	16	sample	sample	NOUN
cet-835	42	17	may	may	AUX
cet-835	42	18	affect	affect	VERB
cet-835	42	19	the	the	DET
cet-835	42	20	upgrading	upgrading	ADJ
cet-835	42	21	quality	quality	NOUN
cet-835	42	22	of	of	ADP
cet-835	42	23	the	the	DET
cet-835	42	24	model	model	NOUN
cet-835	42	25	,	,	PUNCT
cet-835	42	26	4	4	NUM
cet-835	42	27	times	time	NOUN
cet-835	42	28	experiments	experiment	NOUN
cet-835	42	29	are	be	AUX
cet-835	42	30	also	also	ADV
cet-835	42	31	implemented	implement	VERB
cet-835	42	32	to	to	ADP
cet-835	42	33	the	the	DET
cet-835	42	34	prediction	prediction	NOUN
cet-835	42	35	set	set	NOUN
cet-835	42	36	(	(	PUNCT
cet-835	42	37	1200	1200	NUM
cet-835	42	38	*	*	SYM
cet-835	42	39	94	94	NUM
cet-835	42	40	)	)	PUNCT
cet-835	42	41	randomly	randomly	ADV
cet-835	42	42	which	which	PRON
cet-835	42	43	is	be	AUX
cet-835	42	44	divided	divide	VERB
cet-835	42	45	randomly	randomly	ADV
cet-835	42	46	each	each	DET
cet-835	42	47	time	time	NOUN
cet-835	42	48	.	.	PUNCT
cet-835	43	1	the	the	DET
cet-835	43	2	final	final	ADJ
cet-835	43	3	experiment	experiment	NOUN
cet-835	43	4	result	result	NOUN
cet-835	43	5	is	be	AUX
cet-835	43	6	subject	subject	ADJ
cet-835	43	7	to	to	ADP
cet-835	43	8	the	the	DET
cet-835	43	9	average	average	ADJ
cet-835	43	10	result	result	NOUN
cet-835	43	11	of	of	ADP
cet-835	43	12	20	20	NUM
cet-835	43	13	random	random	ADJ
cet-835	43	14	times	time	NOUN
cet-835	43	15	as	as	ADP
cet-835	43	16	the	the	DET
cet-835	43	17	classification	classification	NOUN
cet-835	43	18	accuracy	accuracy	NOUN
cet-835	43	19	of	of	ADP
cet-835	43	20	lssvn	lssvn	NOUN
cet-835	43	21	after	after	ADP
cet-835	43	22	the	the	DET
cet-835	43	23	upgrading	upgrading	NOUN
cet-835	43	24	.	.	PUNCT
cet-835	44	1	the	the	DET
cet-835	44	2	average	average	ADJ
cet-835	44	3	classification	classification	NOUN
cet-835	44	4	result	result	NOUN
cet-835	44	5	of	of	ADP
cet-835	44	6	the	the	DET
cet-835	44	7	upgraded	upgrade	VERB
cet-835	44	8	lssvm	lssvm	NOUN
cet-835	44	9	model	model	NOUN
cet-835	44	10	is	be	AUX
cet-835	44	11	shown	show	VERB
cet-835	44	12	in	in	ADP
cet-835	44	13	table	table	NOUN
cet-835	44	14	3	3	NUM
cet-835	44	15	.	.	PUNCT
cet-835	45	1	see	see	VERB
cet-835	45	2	the	the	DET
cet-835	45	3	number	number	NOUN
cet-835	45	4	of	of	ADP
cet-835	45	5	samples	sample	NOUN
cet-835	45	6	rejected	reject	VERB
cet-835	45	7	in	in	ADP
cet-835	45	8	identification	identification	NOUN
cet-835	45	9	during	during	ADP
cet-835	45	10	random	random	ADJ
cet-835	45	11	20	20	NUM
cet-835	45	12	times	time	NOUN
cet-835	45	13	in	in	ADP
cet-835	45	14	table	table	NOUN
cet-835	45	15	4	4	NUM
cet-835	45	16	(	(	PUNCT
cet-835	45	17	s	s	AUX
cet-835	45	18	means	mean	VERB
cet-835	45	19	the	the	DET
cet-835	45	20	random	random	ADJ
cet-835	45	21	times	time	NOUN
cet-835	45	22	of	of	ADP
cet-835	45	23	the	the	DET
cet-835	45	24	division	division	NOUN
cet-835	45	25	of	of	ADP
cet-835	45	26	training	training	NOUN
cet-835	45	27	set	set	NOUN
cet-835	45	28	and	and	CCONJ
cet-835	45	29	prediction	prediction	NOUN
cet-835	45	30	set	set	NOUN
cet-835	45	31	;	;	PUNCT
cet-835	45	32	t	t	PROPN
cet-835	45	33	means	mean	VERB
cet-835	45	34	the	the	DET
cet-835	45	35	number	number	NOUN
cet-835	45	36	of	of	ADP
cet-835	45	37	times	time	NOUN
cet-835	45	38	of	of	ADP
cet-835	45	39	self	self	NOUN
cet-835	45	40	-	-	PUNCT
cet-835	45	41	random	random	ADJ
cet-835	45	42	for	for	ADP
cet-835	45	43	prediction	prediction	NOUN
cet-835	45	44	set	set	NOUN
cet-835	45	45	)	)	PUNCT
cet-835	45	46	.	.	PUNCT
cet-835	46	1	table	table	NOUN
cet-835	46	2	3	3	NUM
cet-835	46	3	:	:	PUNCT
cet-835	46	4	average	average	ADJ
cet-835	46	5	classification	classification	NOUN
cet-835	46	6	result	result	NOUN
cet-835	46	7	of	of	ADP
cet-835	46	8	the	the	DET
cet-835	46	9	upgraded	upgrade	VERB
cet-835	46	10	lssvm	lssvm	NOUN
cet-835	46	11	model	model	NOUN
cet-835	46	12	(	(	PUNCT
cet-835	46	13	%	%	INTJ
cet-835	46	14	)	)	PUNCT
cet-835	46	15	type	type	NOUN
cet-835	46	16	training	training	NOUN
cet-835	46	17	accuracy	accuracy	NOUN
cet-835	46	18	prediction	prediction	NOUN
cet-835	46	19	accuracy	accuracy	NOUN
cet-835	46	20	jidan7	jidan7	VERB
cet-835	46	21	100	100	NUM
cet-835	46	22	99.4	99.4	NUM
cet-835	46	23	jundan18	jundan18	NOUN
cet-835	46	24	100	100	NUM
cet-835	46	25	93.0	93.0	NUM
cet-835	46	26	jundan20	jundan20	NOUN
cet-835	46	27	100	100	NUM
cet-835	46	28	87.7	87.7	NUM
cet-835	46	29	ludan818	ludan818	PROPN
cet-835	46	30	100	100	NUM
cet-835	46	31	97.4	97.4	NUM
cet-835	46	32	average	average	ADJ
cet-835	46	33	classification	classification	NOUN
cet-835	46	34	accuracy	accuracy	NOUN
cet-835	46	35	100	100	NUM
cet-835	46	36	94.4	94.4	NUM
cet-835	46	37	table	table	NOUN
cet-835	46	38	4	4	NUM
cet-835	46	39	:	:	PUNCT
cet-835	46	40	number	number	NOUN
cet-835	46	41	of	of	ADP
cet-835	46	42	samples	sample	NOUN
cet-835	46	43	rejected	reject	VERB
cet-835	46	44	in	in	ADP
cet-835	46	45	identification	identification	NOUN
cet-835	46	46	during	during	ADP
cet-835	46	47	the	the	DET
cet-835	46	48	upgrading	upgrading	NOUN
cet-835	46	49	process	process	NOUN
cet-835	46	50	times	time	NOUN
cet-835	46	51	1	1	NUM
cet-835	46	52	t	t	NOUN
cet-835	46	53	2	2	NUM
cet-835	46	54	t	t	NOUN
cet-835	46	55	3	3	NUM
cet-835	46	56	t	t	NOUN
cet-835	46	57	4	4	NUM
cet-835	46	58	t	t	NOUN
cet-835	46	59	1s	1s	NUM
cet-835	46	60	133	133	NUM
cet-835	46	61	142	142	NUM
cet-835	46	62	145	145	NUM
cet-835	46	63	147	147	NUM
cet-835	46	64	2s	2s	NUM
cet-835	46	65	136	136	NUM
cet-835	46	66	153	153	NUM
cet-835	46	67	137	137	NUM
cet-835	46	68	143	143	NUM
cet-835	46	69	3s	3s	NUM
cet-835	46	70	138	138	NUM
cet-835	46	71	143	143	NUM
cet-835	46	72	140	140	NUM
cet-835	46	73	143	143	NUM
cet-835	46	74	4s	4s	NUM
cet-835	46	75	132	132	NUM
cet-835	46	76	140	140	NUM
cet-835	46	77	135	135	NUM
cet-835	46	78	141	141	NUM
cet-835	46	79	5s	5s	NUM
cet-835	46	80	133	133	NUM
cet-835	46	81	142	142	NUM
cet-835	46	82	139	139	NUM
cet-835	46	83	143	143	NUM
cet-835	46	84	according	accord	VERB
cet-835	46	85	to	to	ADP
cet-835	46	86	table	table	NOUN
cet-835	46	87	3	3	NUM
cet-835	46	88	,	,	PUNCT
cet-835	46	89	except	except	SCONJ
cet-835	46	90	for	for	ADP
cet-835	46	91	jidan7	jidan7	NOUN
cet-835	46	92	,	,	PUNCT
cet-835	46	93	the	the	DET
cet-835	46	94	jundan18	jundan18	NOUN
cet-835	46	95	,	,	PUNCT
cet-835	46	96	jundan20	jundan20	NOUN
cet-835	46	97	and	and	CCONJ
cet-835	46	98	ludan818	ludan818	DET
cet-835	46	99	prediction	prediction	NOUN
cet-835	46	100	accuracy	accuracy	NOUN
cet-835	46	101	is	be	AUX
cet-835	46	102	obviously	obviously	ADV
cet-835	46	103	improved	improve	VERB
cet-835	46	104	in	in	ADP
cet-835	46	105	the	the	DET
cet-835	46	106	comparison	comparison	NOUN
cet-835	46	107	with	with	ADP
cet-835	46	108	that	that	PRON
cet-835	46	109	before	before	ADP
cet-835	46	110	the	the	DET
cet-835	46	111	upgrading	upgrading	NOUN
cet-835	46	112	,	,	PUNCT
cet-835	46	113	which	which	PRON
cet-835	46	114	is	be	AUX
cet-835	46	115	improved	improve	VERB
cet-835	46	116	by	by	ADP
cet-835	46	117	23.7	23.7	NUM
cet-835	46	118	%	%	NOUN
cet-835	46	119	,	,	PUNCT
cet-835	46	120	10.2	10.2	NUM
cet-835	46	121	%	%	NOUN
cet-835	46	122	and	and	CCONJ
cet-835	46	123	220	220	NUM
cet-835	46	124	7	7	NUM
cet-835	46	125	%	%	NOUN
cet-835	46	126	separately	separately	ADV
cet-835	46	127	.	.	PUNCT
cet-835	47	1	the	the	DET
cet-835	47	2	average	average	ADJ
cet-835	47	3	classification	classification	NOUN
cet-835	47	4	accuracy	accuracy	NOUN
cet-835	47	5	of	of	ADP
cet-835	47	6	the	the	DET
cet-835	47	7	entire	entire	ADJ
cet-835	47	8	classification	classification	NOUN
cet-835	47	9	model	model	NOUN
cet-835	47	10	also	also	ADV
cet-835	47	11	reaches	reach	VERB
cet-835	47	12	94.4	94.4	NUM
cet-835	47	13	%	%	NOUN
cet-835	47	14	,	,	PUNCT
cet-835	47	15	which	which	PRON
cet-835	47	16	is	be	AUX
cet-835	47	17	improved	improve	VERB
cet-835	47	18	by	by	ADP
cet-835	47	19	10.3	10.3	NUM
cet-835	47	20	%	%	NOUN
cet-835	47	21	against	against	ADP
cet-835	47	22	the	the	DET
cet-835	47	23	84.1	84.1	NUM
cet-835	47	24	%	%	NOUN
cet-835	47	25	before	before	ADP
cet-835	47	26	upgrading	upgrading	NOUN
cet-835	47	27	.	.	PUNCT
cet-835	48	1	according	accord	VERB
cet-835	48	2	to	to	ADP
cet-835	48	3	table	table	NOUN
cet-835	48	4	4	4	NUM
cet-835	48	5	,	,	PUNCT
cet-835	48	6	the	the	DET
cet-835	48	7	upgrading	upgrading	NOUN
cet-835	48	8	of	of	ADP
cet-835	48	9	the	the	DET
cet-835	48	10	model	model	NOUN
cet-835	48	11	is	be	AUX
cet-835	48	12	only	only	ADV
cet-835	48	13	achieved	achieve	VERB
cet-835	48	14	by	by	ADP
cet-835	48	15	adding	add	VERB
cet-835	48	16	the	the	DET
cet-835	48	17	11.0%-12.8	11.0%-12.8	PROPN
cet-835	48	18	%	%	NOUN
cet-835	48	19	new	new	ADJ
cet-835	48	20	samples	sample	NOUN
cet-835	48	21	to	to	ADP
cet-835	48	22	the	the	DET
cet-835	48	23	original	original	ADJ
cet-835	48	24	training	training	NOUN
cet-835	48	25	samples	sample	NOUN
cet-835	48	26	,	,	PUNCT
cet-835	48	27	the	the	DET
cet-835	48	28	influence	influence	NOUN
cet-835	48	29	of	of	ADP
cet-835	48	30	learning	learn	VERB
cet-835	48	31	sequence	sequence	NOUN
cet-835	48	32	before	before	ADV
cet-835	48	33	and	and	CCONJ
cet-835	48	34	after	after	ADP
cet-835	48	35	the	the	DET
cet-835	48	36	prediction	prediction	NOUN
cet-835	48	37	set	set	NOUN
cet-835	48	38	sample	sample	NOUN
cet-835	48	39	is	be	AUX
cet-835	48	40	not	not	PART
cet-835	48	41	obvious	obvious	ADJ
cet-835	48	42	.	.	PUNCT
cet-835	49	1	6	6	X
cet-835	49	2	.	.	X
cet-835	49	3	conclusion	conclusion	NOUN
cet-835	49	4	the	the	DET
cet-835	49	5	spectral	spectral	ADJ
cet-835	49	6	features	feature	NOUN
cet-835	49	7	of	of	ADP
cet-835	49	8	the	the	DET
cet-835	49	9	seed	seed	NOUN
cet-835	49	10	can	can	AUX
cet-835	49	11	be	be	AUX
cet-835	49	12	changed	change	VERB
cet-835	49	13	under	under	ADP
cet-835	49	14	the	the	DET
cet-835	49	15	influence	influence	NOUN
cet-835	49	16	of	of	ADP
cet-835	49	17	years	year	NOUN
cet-835	49	18	,	,	PUNCT
cet-835	49	19	which	which	PRON
cet-835	49	20	results	result	VERB
cet-835	49	21	in	in	ADP
cet-835	49	22	obvious	obvious	ADJ
cet-835	49	23	differences	difference	NOUN
cet-835	49	24	of	of	ADP
cet-835	49	25	the	the	DET
cet-835	49	26	spectral	spectral	ADJ
cet-835	49	27	features	feature	NOUN
cet-835	49	28	of	of	ADP
cet-835	49	29	seeds	seed	NOUN
cet-835	49	30	in	in	ADP
cet-835	49	31	the	the	DET
cet-835	49	32	same	same	ADJ
cet-835	49	33	category	category	NOUN
cet-835	49	34	but	but	CCONJ
cet-835	49	35	different	different	ADJ
cet-835	49	36	years	year	NOUN
cet-835	49	37	.	.	PUNCT
cet-835	50	1	the	the	DET
cet-835	50	2	model	model	NOUN
cet-835	50	3	upgrading	upgrading	NOUN
cet-835	50	4	can	can	AUX
cet-835	50	5	be	be	AUX
cet-835	50	6	hardly	hardly	ADV
cet-835	50	7	subject	subject	ADJ
cet-835	50	8	to	to	ADP
cet-835	50	9	the	the	DET
cet-835	50	10	complete	complete	ADJ
cet-835	50	11	training	training	NOUN
cet-835	50	12	set	set	NOUN
cet-835	50	13	sample	sample	NOUN
cet-835	50	14	during	during	ADP
cet-835	50	15	the	the	DET
cet-835	50	16	actual	actual	ADJ
cet-835	50	17	production	production	NOUN
cet-835	50	18	process	process	NOUN
cet-835	50	19	,	,	PUNCT
cet-835	50	20	which	which	PRON
cet-835	50	21	results	result	VERB
cet-835	50	22	in	in	ADP
cet-835	50	23	the	the	DET
cet-835	50	24	stability	stability	NOUN
cet-835	50	25	and	and	CCONJ
cet-835	50	26	generalization	generalization	NOUN
cet-835	50	27	ability	ability	NOUN
cet-835	50	28	reduction	reduction	NOUN
cet-835	50	29	of	of	ADP
cet-835	50	30	the	the	DET
cet-835	50	31	model	model	NOUN
cet-835	50	32	.	.	PUNCT
cet-835	51	1	to	to	PART
cet-835	51	2	solve	solve	VERB
cet-835	51	3	this	this	DET
cet-835	51	4	problem	problem	NOUN
cet-835	51	5	,	,	PUNCT
cet-835	51	6	the	the	DET
cet-835	51	7	new	new	ADJ
cet-835	51	8	strategy	strategy	NOUN
cet-835	51	9	of	of	ADP
cet-835	51	10	isvdd	isvdd	PROPN
cet-835	51	11	-	-	PUNCT
cet-835	51	12	based	base	VERB
cet-835	51	13	online	online	ADJ
cet-835	51	14	model	model	NOUN
cet-835	51	15	upgrading	upgrading	NOUN
cet-835	51	16	can	can	AUX
cet-835	51	17	be	be	AUX
cet-835	51	18	effectively	effectively	ADV
cet-835	51	19	applied	apply	VERB
cet-835	51	20	to	to	PART
cet-835	51	21	improve	improve	VERB
cet-835	51	22	the	the	DET
cet-835	51	23	stability	stability	NOUN
cet-835	51	24	and	and	CCONJ
cet-835	51	25	generalization	generalization	NOUN
cet-835	51	26	ability	ability	NOUN
cet-835	51	27	of	of	ADP
cet-835	51	28	the	the	DET
cet-835	51	29	mode	mode	NOUN
cet-835	51	30	,	,	PUNCT
cet-835	51	31	and	and	CCONJ
cet-835	51	32	can	can	AUX
cet-835	51	33	meet	meet	VERB
cet-835	51	34	the	the	DET
cet-835	51	35	requirements	requirement	NOUN
cet-835	51	36	on	on	ADP
cet-835	51	37	instantaneity	instantaneity	NOUN
cet-835	51	38	and	and	CCONJ
cet-835	51	39	accuracy	accuracy	NOUN
cet-835	51	40	of	of	ADP
cet-835	51	41	model	model	NOUN
cet-835	51	42	upgrading	upgrading	NOUN
cet-835	51	43	in	in	ADP
cet-835	51	44	the	the	DET
cet-835	51	45	actual	actual	ADJ
cet-835	51	46	production	production	NOUN
cet-835	51	47	.	.	PUNCT
cet-835	52	1	reference	reference	NOUN
cet-835	52	2	chen	chen	PROPN
cet-835	52	3	g.	g.	PROPN
cet-835	52	4	,	,	PUNCT
cet-835	52	5	li	li	PROPN
cet-835	52	6	c.	c.	PROPN
cet-835	52	7	,	,	PUNCT
cet-835	52	8	sun	sun	PROPN
cet-835	52	9	w.	w.	PROPN
cet-835	52	10	,	,	PUNCT
cet-835	52	11	2017	2017	NUM
cet-835	52	12	,	,	PUNCT
cet-835	52	13	hyperspectral	hyperspectral	ADJ
cet-835	52	14	face	face	NOUN
cet-835	52	15	recognition	recognition	NOUN
cet-835	52	16	via	via	ADP
cet-835	52	17	feature	feature	NOUN
cet-835	52	18	extraction	extraction	NOUN
cet-835	52	19	and	and	CCONJ
cet-835	52	20	crc	crc	NOUN
cet-835	52	21	-	-	PUNCT
cet-835	52	22	based	base	VERB
cet-835	52	23	classifier	classifier	NOUN
cet-835	52	24	,	,	PUNCT
cet-835	52	25	iet	iet	PROPN
cet-835	52	26	image	image	NOUN
cet-835	52	27	processing	processing	NOUN
cet-835	52	28	,	,	PUNCT
cet-835	52	29	11	11	NUM
cet-835	52	30	,	,	PUNCT
cet-835	52	31	266	266	NUM
cet-835	52	32	-	-	SYM
cet-835	52	33	272	272	NUM
cet-835	52	34	,	,	PUNCT
cet-835	52	35	doi	doi	NOUN
cet-835	52	36	:	:	PUNCT
cet-835	52	37	10.1049	10.1049	NUM
cet-835	52	38	/	/	SYM
cet-835	52	39	iet	iet	NOUN
cet-835	52	40	-	-	PUNCT
cet-835	52	41	ipr.2016.0722	ipr.2016.0722	PROPN
cet-835	52	42	chen	chen	PROPN
cet-835	52	43	g.	g.	PROPN
cet-835	52	44	,	,	PUNCT
cet-835	52	45	sun	sun	PROPN
cet-835	52	46	w.	w.	PROPN
cet-835	52	47	,	,	PUNCT
cet-835	52	48	xie	xie	PROPN
cet-835	52	49	w.	w.	PROPN
cet-835	52	50	,	,	PUNCT
cet-835	52	51	2017	2017	NUM
cet-835	52	52	,	,	PUNCT
cet-835	52	53	hyperspectral	hyperspectral	ADJ
cet-835	52	54	face	face	NOUN
cet-835	52	55	recognition	recognition	NOUN
cet-835	52	56	with	with	ADP
cet-835	52	57	log	log	NOUN
cet-835	52	58	-	-	PUNCT
cet-835	52	59	polar	polar	ADJ
cet-835	52	60	fourier	fourier	NOUN
cet-835	52	61	features	feature	NOUN
cet-835	52	62	and	and	CCONJ
cet-835	52	63	collaborative	collaborative	ADJ
cet-835	52	64	representation	representation	NOUN
cet-835	52	65	based	base	VERB
cet-835	52	66	voting	voting	NOUN
cet-835	52	67	classifiers	classifier	NOUN
cet-835	52	68	,	,	PUNCT
cet-835	52	69	iet	iet	PROPN
cet-835	52	70	biometrics	biometric	NOUN
cet-835	52	71	,	,	PUNCT
cet-835	52	72	6	6	NUM
cet-835	52	73	,	,	PUNCT
cet-835	52	74	36	36	NUM
cet-835	52	75	-	-	SYM
cet-835	52	76	42	42	NUM
cet-835	52	77	,	,	PUNCT
cet-835	52	78	doi	doi	NOUN
cet-835	52	79	:	:	PUNCT
cet-835	52	80	10.1049	10.1049	NUM
cet-835	52	81	/	/	SYM
cet-835	52	82	ietbmt.2015.0103	ietbmt.2015.0103	PROPN
cet-835	52	83	chen	chen	PROPN
cet-835	52	84	t.	t.	PROPN
cet-835	52	85	,	,	PUNCT
cet-835	52	86	yuen	yuen	PROPN
cet-835	52	87	p.	p.	PROPN
cet-835	52	88	,	,	PUNCT
cet-835	52	89	richardson	richardson	PROPN
cet-835	52	90	m.	m.	PROPN
cet-835	52	91	,	,	PUNCT
cet-835	52	92	liu	liu	PROPN
cet-835	52	93	g.	g.	PROPN
cet-835	52	94	,	,	PUNCT
cet-835	52	95	she	she	PRON
cet-835	52	96	z.	z.	PROPN
cet-835	52	97	,	,	PUNCT
cet-835	52	98	2014	2014	NUM
cet-835	52	99	,	,	PUNCT
cet-835	52	100	detection	detection	NOUN
cet-835	52	101	of	of	ADP
cet-835	52	102	psychological	psychological	ADJ
cet-835	52	103	stress	stress	NOUN
cet-835	52	104	using	use	VERB
cet-835	52	105	a	a	DET
cet-835	52	106	hyperspectral	hyperspectral	ADJ
cet-835	52	107	imaging	imaging	NOUN
cet-835	52	108	technique	technique	NOUN
cet-835	52	109	,	,	PUNCT
cet-835	52	110	ieee	ieee	NOUN
cet-835	52	111	transactions	transaction	NOUN
cet-835	52	112	on	on	ADP
cet-835	52	113	affective	affective	ADJ
cet-835	52	114	computing	computing	NOUN
cet-835	52	115	,	,	PUNCT
cet-835	52	116	5	5	NUM
cet-835	52	117	,	,	PUNCT
cet-835	52	118	391	391	NUM
cet-835	52	119	-	-	SYM
cet-835	52	120	405	405	NUM
cet-835	52	121	,	,	PUNCT
cet-835	52	122	doi	doi	NOUN
cet-835	52	123	:	:	PUNCT
cet-835	52	124	10.1109	10.1109	NUM
cet-835	52	125	/	/	SYM
cet-835	52	126	taffc.2014.2362513	taffc.2014.2362513	NOUN
cet-835	52	127	dupré	dupré	PROPN
cet-835	52	128	a.	a.	PROPN
cet-835	52	129	,	,	PUNCT
cet-835	52	130	ricciardi	ricciardi	PROPN
cet-835	52	131	g.	g.	PROPN
cet-835	52	132	,	,	PUNCT
cet-835	52	133	bourennane	bourennane	VERB
cet-835	52	134	s.	s.	PROPN
cet-835	52	135	,	,	PUNCT
cet-835	52	136	mylvaganam	mylvaganam	PROPN
cet-835	52	137	s.	s.	PROPN
cet-835	52	138	,	,	PUNCT
cet-835	52	139	2017	2017	NUM
cet-835	52	140	,	,	PUNCT
cet-835	52	141	electrical	electrical	ADJ
cet-835	52	142	capacitance	capacitance	NOUN
cet-835	52	143	-	-	PUNCT
cet-835	52	144	based	base	VERB
cet-835	52	145	flow	flow	NOUN
cet-835	52	146	regimes	regime	NOUN
cet-835	52	147	identification	identification	NOUN
cet-835	52	148	---multiphase	---multiphase	ADP
cet-835	52	149	experiments	experiment	NOUN
cet-835	52	150	and	and	CCONJ
cet-835	52	151	sensor	sensor	NOUN
cet-835	52	152	modeling	modeling	NOUN
cet-835	52	153	,	,	PUNCT
cet-835	52	154	ieee	ieee	NOUN
cet-835	52	155	sensors	sensor	NOUN
cet-835	52	156	journal	journal	NOUN
cet-835	52	157	,	,	PUNCT
cet-835	52	158	17	17	NUM
cet-835	52	159	,	,	PUNCT
cet-835	52	160	8117	8117	NUM
cet-835	52	161	-	-	SYM
cet-835	52	162	8128	8128	NUM
cet-835	52	163	,	,	PUNCT
cet-835	52	164	doi	doi	NOUN
cet-835	52	165	:	:	PUNCT
cet-835	52	166	10.1109	10.1109	NUM
cet-835	52	167	/	/	SYM
cet-835	52	168	jsen.2017.2707659	jsen.2017.2707659	PROPN
cet-835	52	169	elshamli	elshamli	PROPN
cet-835	52	170	a.	a.	NOUN
cet-835	52	171	,	,	PUNCT
cet-835	52	172	taylor	taylor	PROPN
cet-835	52	173	g.	g.	PROPN
cet-835	52	174	w.	w.	PROPN
cet-835	52	175	,	,	PUNCT
cet-835	52	176	berg	berg	PROPN
cet-835	52	177	a.	a.	PROPN
cet-835	52	178	,	,	PUNCT
cet-835	52	179	areibi	areibi	PROPN
cet-835	52	180	s.	s.	PROPN
cet-835	52	181	,	,	PUNCT
cet-835	52	182	2017	2017	NUM
cet-835	52	183	,	,	PUNCT
cet-835	52	184	domain	domain	NOUN
cet-835	52	185	adaptation	adaptation	NOUN
cet-835	52	186	using	use	VERB
cet-835	52	187	representation	representation	NOUN
cet-835	52	188	learning	learning	NOUN
cet-835	52	189	for	for	ADP
cet-835	52	190	the	the	DET
cet-835	52	191	classification	classification	NOUN
cet-835	52	192	of	of	ADP
cet-835	52	193	remote	remote	ADJ
cet-835	52	194	sensing	sensing	NOUN
cet-835	52	195	images	image	NOUN
cet-835	52	196	,	,	PUNCT
cet-835	52	197	ieee	ieee	NOUN
cet-835	52	198	journal	journal	NOUN
cet-835	52	199	of	of	ADP
cet-835	52	200	selected	select	VERB
cet-835	52	201	topics	topic	NOUN
cet-835	52	202	in	in	ADP
cet-835	52	203	applied	apply	VERB
cet-835	52	204	earth	earth	NOUN
cet-835	52	205	observations	observation	NOUN
cet-835	52	206	and	and	CCONJ
cet-835	52	207	remote	remote	ADJ
cet-835	52	208	sensing	sensing	NOUN
cet-835	52	209	,	,	PUNCT
cet-835	52	210	10	10	NUM
cet-835	52	211	,	,	PUNCT
cet-835	52	212	4198	4198	NUM
cet-835	52	213	-	-	SYM
cet-835	52	214	4209	4209	NUM
cet-835	52	215	,	,	PUNCT
cet-835	52	216	doi	doi	NOUN
cet-835	52	217	:	:	PUNCT
cet-835	52	218	10.1109	10.1109	NUM
cet-835	52	219	/	/	SYM
cet-835	52	220	jstars.2017.2711360	jstars.2017.2711360	PROPN
cet-835	52	221	he	he	PROPN
cet-835	52	222	l.	l.	PROPN
cet-835	52	223	,	,	PUNCT
cet-835	52	224	li	li	PROPN
cet-835	52	225	j.	j.	PROPN
cet-835	52	226	,	,	PUNCT
cet-835	52	227	liu	liu	PROPN
cet-835	52	228	c.	c.	PROPN
cet-835	52	229	,	,	PUNCT
cet-835	52	230	li	li	PROPN
cet-835	52	231	s.	s.	PROPN
cet-835	52	232	,	,	PUNCT
cet-835	52	233	2017	2017	NUM
cet-835	52	234	,	,	PUNCT
cet-835	52	235	recent	recent	ADJ
cet-835	52	236	advances	advance	NOUN
cet-835	52	237	on	on	ADP
cet-835	52	238	spectral	spectral	ADJ
cet-835	52	239	-	-	PUNCT
cet-835	52	240	spatial	spatial	ADJ
cet-835	52	241	hyperspectral	hyperspectral	ADJ
cet-835	52	242	image	image	NOUN
cet-835	52	243	classification	classification	NOUN
cet-835	52	244	:	:	PUNCT
cet-835	52	245	an	an	DET
cet-835	52	246	overview	overview	NOUN
cet-835	52	247	and	and	CCONJ
cet-835	52	248	new	new	ADJ
cet-835	52	249	guidelines	guideline	NOUN
cet-835	52	250	,	,	PUNCT
cet-835	52	251	ieee	ieee	NOUN
cet-835	52	252	transactions	transaction	NOUN
cet-835	52	253	on	on	ADP
cet-835	52	254	geoscience	geoscience	NOUN
cet-835	52	255	and	and	CCONJ
cet-835	52	256	remote	remote	ADJ
cet-835	52	257	sensing	sensing	NOUN
cet-835	52	258	,	,	PUNCT
cet-835	52	259	1	1	NUM
cet-835	52	260	-	-	SYM
cet-835	52	261	19	19	NUM
cet-835	52	262	,	,	PUNCT
cet-835	52	263	doi	doi	NOUN
cet-835	52	264	:	:	PUNCT
cet-835	52	265	10.1109	10.1109	NUM
cet-835	52	266	/	/	SYM
cet-835	52	267	tgrs.2017.2765364	tgrs.2017.2765364	NOUN
cet-835	52	268	iordache	iordache	NOUN
cet-835	52	269	m.	m.	PROPN
cet-835	52	270	d.	d.	PROPN
cet-835	52	271	,	,	PUNCT
cet-835	52	272	tits	tits	PROPN
cet-835	52	273	l.	l.	PROPN
cet-835	52	274	,	,	PUNCT
cet-835	52	275	bioucas	bioucas	PROPN
cet-835	52	276	-	-	PUNCT
cet-835	52	277	dias	dias	PROPN
cet-835	52	278	j.	j.	PROPN
cet-835	52	279	m.	m.	PROPN
cet-835	52	280	,	,	PUNCT
cet-835	52	281	plaza	plaza	PROPN
cet-835	52	282	a.	a.	PROPN
cet-835	52	283	,	,	PUNCT
cet-835	52	284	somers	somers	PROPN
cet-835	52	285	b.	b.	PROPN
cet-835	52	286	,	,	PUNCT
cet-835	52	287	2014	2014	NUM
cet-835	52	288	,	,	PUNCT
cet-835	52	289	a	a	DET
cet-835	52	290	dynamic	dynamic	ADJ
cet-835	52	291	unmixing	unmixe	VERB
cet-835	52	292	framework	framework	NOUN
cet-835	52	293	for	for	ADP
cet-835	52	294	plant	plant	NOUN
cet-835	52	295	production	production	NOUN
cet-835	52	296	system	system	NOUN
cet-835	52	297	monitoring	monitoring	NOUN
cet-835	52	298	,	,	PUNCT
cet-835	52	299	ieee	ieee	NOUN
cet-835	52	300	journal	journal	NOUN
cet-835	52	301	of	of	ADP
cet-835	52	302	selected	select	VERB
cet-835	52	303	topics	topic	NOUN
cet-835	52	304	in	in	ADP
cet-835	52	305	applied	apply	VERB
cet-835	52	306	earth	earth	NOUN
cet-835	52	307	observations	observation	NOUN
cet-835	52	308	and	and	CCONJ
cet-835	52	309	remote	remote	ADJ
cet-835	52	310	sensing	sensing	NOUN
cet-835	52	311	,	,	PUNCT
cet-835	52	312	7	7	NUM
cet-835	52	313	,	,	PUNCT
cet-835	52	314	2016	2016	NUM
cet-835	52	315	-	-	SYM
cet-835	52	316	2034	2034	NUM
cet-835	52	317	,	,	PUNCT
cet-835	52	318	doi	doi	NOUN
cet-835	52	319	:	:	PUNCT
cet-835	52	320	10.1109	10.1109	NUM
cet-835	52	321	/	/	SYM
cet-835	52	322	jstars.2014.2314960	jstars.2014.2314960	PROPN
cet-835	52	323	jia	jia	PROPN
cet-835	52	324	s.	s.	PROPN
cet-835	52	325	,	,	PUNCT
cet-835	52	326	shen	shen	PROPN
cet-835	52	327	l.	l.	PROPN
cet-835	52	328	,	,	PUNCT
cet-835	52	329	zhu	zhu	PROPN
cet-835	52	330	j.	j.	PROPN
cet-835	52	331	,	,	PUNCT
cet-835	52	332	li	li	PROPN
cet-835	52	333	q.	q.	PROPN
cet-835	52	334	,	,	PUNCT
cet-835	52	335	2017	2017	NUM
cet-835	52	336	,	,	PUNCT
cet-835	52	337	a	a	DET
cet-835	52	338	3	3	NUM
cet-835	52	339	-	-	PUNCT
cet-835	52	340	d	d	NOUN
cet-835	52	341	gabor	gabor	NOUN
cet-835	52	342	phase	phase	NOUN
cet-835	52	343	-	-	PUNCT
cet-835	52	344	based	base	VERB
cet-835	52	345	coding	coding	NOUN
cet-835	52	346	and	and	CCONJ
cet-835	52	347	matching	matching	NOUN
cet-835	52	348	framework	framework	NOUN
cet-835	52	349	for	for	ADP
cet-835	52	350	hyperspectral	hyperspectral	ADJ
cet-835	52	351	imagery	imagery	NOUN
cet-835	52	352	classification	classification	NOUN
cet-835	52	353	,	,	PUNCT
cet-835	52	354	ieee	ieee	NOUN
cet-835	52	355	transactions	transaction	NOUN
cet-835	52	356	on	on	ADP
cet-835	52	357	cybernetics	cybernetic	NOUN
cet-835	52	358	,	,	PUNCT
cet-835	52	359	1	1	NUM
cet-835	52	360	-	-	SYM
cet-835	52	361	13	13	NUM
cet-835	52	362	,	,	PUNCT
cet-835	52	363	doi	doi	NOUN
cet-835	52	364	:	:	PUNCT
cet-835	52	365	10.1109	10.1109	NUM
cet-835	52	366	/	/	SYM
cet-835	52	367	tcyb.2017.2682846	tcyb.2017.2682846	PROPN
cet-835	52	368	kizel	kizel	PROPN
cet-835	52	369	f.	f.	PROPN
cet-835	52	370	,	,	PUNCT
cet-835	52	371	shoshany	shoshany	PROPN
cet-835	52	372	m.	m.	NOUN
cet-835	52	373	,	,	PUNCT
cet-835	52	374	netanyahu	netanyahu	PROPN
cet-835	52	375	n.	n.	PROPN
cet-835	52	376	s.	s.	PROPN
cet-835	52	377	,	,	PUNCT
cet-835	52	378	even	even	ADV
cet-835	52	379	-	-	PUNCT
cet-835	52	380	tzur	tzur	VERB
cet-835	52	381	g.	g.	PROPN
cet-835	52	382	,	,	PUNCT
cet-835	52	383	benediktsson	benediktsson	PROPN
cet-835	52	384	j.	j.	PROPN
cet-835	52	385	a.	a.	PROPN
cet-835	52	386	,	,	PUNCT
cet-835	52	387	2017	2017	NUM
cet-835	52	388	,	,	PUNCT
cet-835	52	389	a	a	DET
cet-835	52	390	stepwise	stepwise	ADJ
cet-835	52	391	analytical	analytical	ADJ
cet-835	52	392	projected	project	VERB
cet-835	52	393	gradient	gradient	ADJ
cet-835	52	394	descent	descent	NOUN
cet-835	52	395	search	search	NOUN
cet-835	52	396	for	for	ADP
cet-835	52	397	hyperspectral	hyperspectral	ADJ
cet-835	52	398	unmixing	unmixing	NOUN
cet-835	52	399	and	and	CCONJ
cet-835	52	400	its	its	PRON
cet-835	52	401	code	code	NOUN
cet-835	52	402	vectorization	vectorization	NOUN
cet-835	52	403	,	,	PUNCT
cet-835	52	404	ieee	ieee	NOUN
cet-835	52	405	transactions	transaction	NOUN
cet-835	52	406	on	on	ADP
cet-835	52	407	geoscience	geoscience	NOUN
cet-835	52	408	and	and	CCONJ
cet-835	52	409	remote	remote	ADJ
cet-835	52	410	sensing	sensing	NOUN
cet-835	52	411	,	,	PUNCT
cet-835	52	412	55	55	NUM
cet-835	52	413	,	,	PUNCT
cet-835	52	414	4925	4925	NUM
cet-835	52	415	-	-	SYM
cet-835	52	416	4943	4943	NUM
cet-835	52	417	,	,	PUNCT
cet-835	52	418	doi	doi	NOUN
cet-835	52	419	:	:	PUNCT
cet-835	52	420	10.1109	10.1109	NUM
cet-835	52	421	/	/	SYM
cet-835	52	422	tgrs.2017.2692999	tgrs.2017.2692999	NOUN
cet-835	52	423	kumar	kumar	PROPN
cet-835	52	424	s.	s.	PROPN
cet-835	52	425	,	,	PUNCT
cet-835	52	426	singh	singh	PROPN
cet-835	52	427	s.	s.	PROPN
cet-835	52	428	k.	k.	PROPN
cet-835	52	429	,	,	PUNCT
cet-835	52	430	2017	2017	NUM
cet-835	52	431	,	,	PUNCT
cet-835	52	432	visual	visual	ADJ
cet-835	52	433	animal	animal	NOUN
cet-835	52	434	biometrics	biometric	NOUN
cet-835	52	435	:	:	PUNCT
cet-835	52	436	survey	survey	NOUN
cet-835	52	437	,	,	PUNCT
cet-835	52	438	iet	iet	PROPN
cet-835	52	439	biometrics	biometric	NOUN
cet-835	52	440	,	,	PUNCT
cet-835	52	441	6	6	NUM
cet-835	52	442	,	,	PUNCT
cet-835	52	443	139	139	NUM
cet-835	52	444	-	-	SYM
cet-835	52	445	156	156	NUM
cet-835	52	446	,	,	PUNCT
cet-835	52	447	doi	doi	NOUN
cet-835	52	448	:	:	PUNCT
cet-835	52	449	10.1049	10.1049	NUM
cet-835	52	450	/	/	SYM
cet-835	52	451	ietbmt.2016.0017	ietbmt.2016.0017	PROPN
cet-835	52	452	liao	liao	PROPN
cet-835	52	453	w.	w.	PROPN
cet-835	52	454	,	,	PUNCT
cet-835	52	455	mura	mura	PROPN
cet-835	52	456	m.	m.	PROPN
cet-835	52	457	d.	d.	PROPN
cet-835	52	458	,	,	PUNCT
cet-835	52	459	chanussot	chanussot	PROPN
cet-835	52	460	j.	j.	PROPN
cet-835	52	461	,	,	PUNCT
cet-835	52	462	pižurica	pižurica	PROPN
cet-835	52	463	a.	a.	PROPN
cet-835	52	464	,	,	PUNCT
cet-835	52	465	2016	2016	NUM
cet-835	52	466	,	,	PUNCT
cet-835	52	467	fusion	fusion	NOUN
cet-835	52	468	of	of	ADP
cet-835	52	469	spectral	spectral	ADJ
cet-835	52	470	and	and	CCONJ
cet-835	52	471	spatial	spatial	ADJ
cet-835	52	472	information	information	NOUN
cet-835	52	473	for	for	ADP
cet-835	52	474	classification	classification	NOUN
cet-835	52	475	of	of	ADP
cet-835	52	476	hyperspectral	hyperspectral	ADJ
cet-835	52	477	remote	remote	ADJ
cet-835	52	478	-	-	PUNCT
cet-835	52	479	sensed	sense	VERB
cet-835	52	480	imagery	imagery	NOUN
cet-835	52	481	by	by	ADP
cet-835	52	482	local	local	ADJ
cet-835	52	483	graph	graph	NOUN
cet-835	52	484	,	,	PUNCT
cet-835	52	485	ieee	ieee	NOUN
cet-835	52	486	journal	journal	NOUN
cet-835	52	487	of	of	ADP
cet-835	52	488	selected	select	VERB
cet-835	52	489	topics	topic	NOUN
cet-835	52	490	in	in	ADP
cet-835	52	491	applied	apply	VERB
cet-835	52	492	earth	earth	NOUN
cet-835	52	493	observations	observation	NOUN
cet-835	52	494	and	and	CCONJ
cet-835	52	495	remote	remote	ADJ
cet-835	52	496	sensing	sensing	NOUN
cet-835	52	497	,	,	PUNCT
cet-835	52	498	9	9	NUM
cet-835	52	499	,	,	PUNCT
cet-835	52	500	583	583	NUM
cet-835	52	501	-	-	SYM
cet-835	52	502	594	594	NUM
cet-835	52	503	,	,	PUNCT
cet-835	52	504	doi	doi	NOUN
cet-835	52	505	:	:	PUNCT
cet-835	52	506	10.1109	10.1109	NUM
cet-835	52	507	/	/	SYM
cet-835	52	508	jstars.2015.2498664	jstars.2015.2498664	PROPN
cet-835	52	509	mei	mei	PROPN
cet-835	52	510	s.	s.	PROPN
cet-835	52	511	,	,	PUNCT
cet-835	52	512	ji	ji	PROPN
cet-835	52	513	j.	j.	PROPN
cet-835	52	514	,	,	PUNCT
cet-835	52	515	hou	hou	PROPN
cet-835	52	516	j.	j.	PROPN
cet-835	52	517	,	,	PUNCT
cet-835	52	518	li	li	PROPN
cet-835	52	519	x.	x.	PROPN
cet-835	52	520	,	,	PUNCT
cet-835	52	521	du	du	PROPN
cet-835	52	522	q.	q.	PROPN
cet-835	52	523	,	,	PUNCT
cet-835	52	524	2017	2017	NUM
cet-835	52	525	,	,	PUNCT
cet-835	52	526	learning	learn	VERB
cet-835	52	527	sensor	sensor	NOUN
cet-835	52	528	-	-	PUNCT
cet-835	52	529	specific	specific	ADJ
cet-835	52	530	spatial	spatial	ADJ
cet-835	52	531	-	-	PUNCT
cet-835	52	532	spectral	spectral	ADJ
cet-835	52	533	features	feature	NOUN
cet-835	52	534	of	of	ADP
cet-835	52	535	hyperspectral	hyperspectral	ADJ
cet-835	52	536	images	image	NOUN
cet-835	52	537	via	via	ADP
cet-835	52	538	convolutional	convolutional	ADJ
cet-835	52	539	neural	neural	ADJ
cet-835	52	540	networks	network	NOUN
cet-835	52	541	,	,	PUNCT
cet-835	52	542	ieee	ieee	NOUN
cet-835	52	543	transactions	transaction	NOUN
cet-835	52	544	on	on	ADP
cet-835	52	545	geoscience	geoscience	NOUN
cet-835	52	546	and	and	CCONJ
cet-835	52	547	remote	remote	ADJ
cet-835	52	548	sensing	sensing	NOUN
cet-835	52	549	,	,	PUNCT
cet-835	52	550	55	55	NUM
cet-835	52	551	,	,	PUNCT
cet-835	52	552	4520	4520	NUM
cet-835	52	553	-	-	SYM
cet-835	52	554	4533	4533	NUM
cet-835	52	555	,	,	PUNCT
cet-835	52	556	doi	doi	NOUN
cet-835	52	557	:	:	PUNCT
cet-835	52	558	10.1109	10.1109	NUM
cet-835	52	559	/	/	SYM
cet-835	52	560	tgrs.2017.2693346	tgrs.2017.2693346	ADJ
cet-835	52	561	moriya	moriya	NOUN
cet-835	52	562	é	é	X
cet-835	52	563	.	.	PUNCT
cet-835	52	564	a.	a.	PROPN
cet-835	52	565	s.	s.	PROPN
cet-835	52	566	,	,	PUNCT
cet-835	52	567	imai	imai	PROPN
cet-835	52	568	n.	n.	PROPN
cet-835	52	569	n.	n.	PROPN
cet-835	52	570	,	,	PUNCT
cet-835	52	571	tommaselli	tommaselli	PROPN
cet-835	52	572	a.	a.	NOUN
cet-835	52	573	m.	m.	PROPN
cet-835	52	574	g.	g.	PROPN
cet-835	52	575	,	,	PUNCT
cet-835	52	576	miyoshi	miyoshi	PROPN
cet-835	52	577	g.	g.	PROPN
cet-835	52	578	t.	t.	PROPN
cet-835	52	579	,	,	PUNCT
cet-835	52	580	2017	2017	NUM
cet-835	52	581	,	,	PUNCT
cet-835	52	582	mapping	mapping	NOUN
cet-835	52	583	mosaic	mosaic	ADJ
cet-835	52	584	virus	virus	NOUN
cet-835	52	585	in	in	ADP
cet-835	52	586	sugarcane	sugarcane	NOUN
cet-835	52	587	based	base	VERB
cet-835	52	588	on	on	ADP
cet-835	52	589	hyperspectral	hyperspectral	ADJ
cet-835	52	590	images	image	NOUN
cet-835	52	591	,	,	PUNCT
cet-835	52	592	ieee	ieee	NOUN
cet-835	52	593	journal	journal	NOUN
cet-835	52	594	of	of	ADP
cet-835	52	595	selected	select	VERB
cet-835	52	596	topics	topic	NOUN
cet-835	52	597	in	in	ADP
cet-835	52	598	applied	apply	VERB
cet-835	52	599	earth	earth	NOUN
cet-835	52	600	observations	observation	NOUN
cet-835	52	601	and	and	CCONJ
cet-835	52	602	remote	remote	ADJ
cet-835	52	603	sensing	sensing	NOUN
cet-835	52	604	,	,	PUNCT
cet-835	52	605	10	10	NUM
cet-835	52	606	,	,	PUNCT
cet-835	52	607	740	740	NUM
cet-835	52	608	-	-	SYM
cet-835	52	609	748	748	NUM
cet-835	52	610	,	,	PUNCT
cet-835	52	611	doi	doi	NOUN
cet-835	52	612	:	:	PUNCT
cet-835	52	613	10.1109	10.1109	NUM
cet-835	52	614	/	/	SYM
cet-835	52	615	jstars.2016.2635482	jstars.2016.2635482	PROPN
cet-835	52	616	mou	mou	PROPN
cet-835	52	617	l.	l.	PROPN
cet-835	52	618	,	,	PUNCT
cet-835	52	619	ghamisi	ghamisi	PROPN
cet-835	52	620	p.	p.	PROPN
cet-835	52	621	,	,	PUNCT
cet-835	52	622	zhu	zhu	PROPN
cet-835	52	623	x.	x.	NOUN
cet-835	52	624	x.	x.	PROPN
cet-835	52	625	,	,	PUNCT
cet-835	52	626	2017	2017	NUM
cet-835	52	627	,	,	PUNCT
cet-835	52	628	deep	deep	ADJ
cet-835	52	629	recurrent	recurrent	ADJ
cet-835	52	630	neural	neural	ADJ
cet-835	52	631	networks	network	NOUN
cet-835	52	632	for	for	ADP
cet-835	52	633	hyperspectral	hyperspectral	ADJ
cet-835	52	634	image	image	NOUN
cet-835	52	635	classification	classification	NOUN
cet-835	52	636	,	,	PUNCT
cet-835	52	637	ieee	ieee	NOUN
cet-835	52	638	transactions	transaction	NOUN
cet-835	52	639	on	on	ADP
cet-835	52	640	geoscience	geoscience	NOUN
cet-835	52	641	and	and	CCONJ
cet-835	52	642	remote	remote	ADJ
cet-835	52	643	sensing	sensing	NOUN
cet-835	52	644	,	,	PUNCT
cet-835	52	645	55	55	NUM
cet-835	52	646	,	,	PUNCT
cet-835	52	647	3639	3639	NUM
cet-835	52	648	-	-	SYM
cet-835	52	649	3655	3655	NUM
cet-835	52	650	,	,	PUNCT
cet-835	52	651	doi	doi	NOUN
cet-835	52	652	:	:	PUNCT
cet-835	52	653	10.1109	10.1109	NUM
cet-835	52	654	/	/	SYM
cet-835	52	655	tgrs.2016.2636241	tgrs.2016.2636241	X
cet-835	52	656	mwaniki	mwaniki	PROPN
cet-835	52	657	m.	m.	PROPN
cet-835	52	658	w.	w.	PROPN
cet-835	52	659	,	,	PUNCT
cet-835	52	660	matthias	matthias	PROPN
cet-835	52	661	m.	m.	PROPN
cet-835	52	662	s.	s.	PROPN
cet-835	52	663	,	,	PUNCT
cet-835	52	664	schellmann	schellmann	PROPN
cet-835	52	665	g.	g.	PROPN
cet-835	52	666	,	,	PUNCT
cet-835	52	667	2015	2015	NUM
cet-835	52	668	,	,	PUNCT
cet-835	52	669	application	application	NOUN
cet-835	52	670	of	of	ADP
cet-835	52	671	remote	remote	ADJ
cet-835	52	672	sensing	sense	VERB
cet-835	52	673	technologies	technology	NOUN
cet-835	52	674	to	to	PART
cet-835	52	675	map	map	VERB
cet-835	52	676	the	the	DET
cet-835	52	677	structural	structural	ADJ
cet-835	52	678	geology	geology	NOUN
cet-835	52	679	of	of	ADP
cet-835	52	680	central	central	ADJ
cet-835	52	681	region	region	NOUN
cet-835	52	682	of	of	ADP
cet-835	52	683	kenya	kenya	PROPN
cet-835	52	684	,	,	PUNCT
cet-835	52	685	ieee	ieee	NOUN
cet-835	52	686	journal	journal	NOUN
cet-835	52	687	of	of	ADP
cet-835	52	688	selected	select	VERB
cet-835	52	689	topics	topic	NOUN
cet-835	52	690	in	in	ADP
cet-835	52	691	applied	apply	VERB
cet-835	52	692	earth	earth	NOUN
cet-835	52	693	observations	observation	NOUN
cet-835	52	694	and	and	CCONJ
cet-835	52	695	remote	remote	ADJ
cet-835	52	696	sensing	sensing	NOUN
cet-835	52	697	,	,	PUNCT
cet-835	52	698	8	8	NUM
cet-835	52	699	,	,	PUNCT
cet-835	52	700	1855	1855	NUM
cet-835	52	701	-	-	SYM
cet-835	52	702	1867	1867	NUM
cet-835	52	703	,	,	PUNCT
cet-835	52	704	doi	doi	NOUN
cet-835	52	705	:	:	PUNCT
cet-835	52	706	10.1109	10.1109	NUM
cet-835	52	707	/	/	SYM
cet-835	52	708	jstars.2015.2395094	jstars.2015.2395094	NOUN
cet-835	52	709	221	221	NUM
cet-835	52	710	ni	ni	PROPN
cet-835	52	711	d.	d.	PROPN
cet-835	52	712	,	,	PUNCT
cet-835	52	713	ma	ma	PROPN
cet-835	52	714	h.	h.	PROPN
cet-835	52	715	,	,	PUNCT
cet-835	52	716	2017	2017	NUM
cet-835	52	717	,	,	PUNCT
cet-835	52	718	fast	fast	ADJ
cet-835	52	719	classification	classification	NOUN
cet-835	52	720	of	of	ADP
cet-835	52	721	hyperspectral	hyperspectral	ADJ
cet-835	52	722	images	image	NOUN
cet-835	52	723	using	use	VERB
cet-835	52	724	globally	globally	ADV
cet-835	52	725	regularized	regularize	VERB
cet-835	52	726	archetypal	archetypal	ADJ
cet-835	52	727	representation	representation	NOUN
cet-835	52	728	with	with	ADP
cet-835	52	729	approximate	approximate	ADJ
cet-835	52	730	solution	solution	NOUN
cet-835	52	731	,	,	PUNCT
cet-835	52	732	ieee	ieee	NOUN
cet-835	52	733	transactions	transaction	NOUN
cet-835	52	734	on	on	ADP
cet-835	52	735	geoscience	geoscience	NOUN
cet-835	52	736	and	and	CCONJ
cet-835	52	737	remote	remote	ADJ
cet-835	52	738	sensing	sensing	NOUN
cet-835	52	739	,	,	PUNCT
cet-835	52	740	55	55	NUM
cet-835	52	741	,	,	PUNCT
cet-835	52	742	2414	2414	NUM
cet-835	52	743	-	-	SYM
cet-835	52	744	2430	2430	NUM
cet-835	52	745	,	,	PUNCT
cet-835	52	746	doi	doi	NOUN
cet-835	52	747	:	:	PUNCT
cet-835	52	748	10.1109	10.1109	NUM
cet-835	52	749	/	/	SYM
cet-835	52	750	tgrs.2016.2643166	tgrs.2016.2643166	PROPN
cet-835	52	751	papa	papa	NOUN
cet-835	52	752	j.	j.	PROPN
cet-835	52	753	p.	p.	PROPN
cet-835	52	754	,	,	PUNCT
cet-835	52	755	papa	papa	PROPN
cet-835	52	756	l.	l.	PROPN
cet-835	52	757	p.	p.	PROPN
cet-835	52	758	,	,	PUNCT
cet-835	52	759	pereira	pereira	PROPN
cet-835	52	760	d.	d.	PROPN
cet-835	52	761	r.	r.	PROPN
cet-835	52	762	,	,	PUNCT
cet-835	52	763	pisani	pisani	PROPN
cet-835	52	764	r.	r.	PROPN
cet-835	52	765	j.	j.	PROPN
cet-835	52	766	,	,	PUNCT
cet-835	52	767	2016	2016	NUM
cet-835	52	768	,	,	PUNCT
cet-835	52	769	a	a	DET
cet-835	52	770	hyperheuristic	hyperheuristic	ADJ
cet-835	52	771	approach	approach	NOUN
cet-835	52	772	for	for	ADP
cet-835	52	773	unsupervised	unsupervised	ADJ
cet-835	52	774	landcover	landcover	NOUN
cet-835	52	775	classification	classification	NOUN
cet-835	52	776	,	,	PUNCT
cet-835	52	777	ieee	ieee	NOUN
cet-835	52	778	journal	journal	NOUN
cet-835	52	779	of	of	ADP
cet-835	52	780	selected	select	VERB
cet-835	52	781	topics	topic	NOUN
cet-835	52	782	in	in	ADP
cet-835	52	783	applied	apply	VERB
cet-835	52	784	earth	earth	NOUN
cet-835	52	785	observations	observation	NOUN
cet-835	52	786	and	and	CCONJ
cet-835	52	787	remote	remote	ADJ
cet-835	52	788	sensing	sensing	NOUN
cet-835	52	789	,	,	PUNCT
cet-835	52	790	9	9	NUM
cet-835	52	791	,	,	PUNCT
cet-835	52	792	2333	2333	NUM
cet-835	52	793	-	-	SYM
cet-835	52	794	2342	2342	NUM
cet-835	52	795	,	,	PUNCT
cet-835	52	796	doi	doi	NOUN
cet-835	52	797	:	:	PUNCT
cet-835	52	798	10.1109	10.1109	NUM
cet-835	52	799	/	/	SYM
cet-835	52	800	jstars.2016.2557584	jstars.2016.2557584	PROPN
cet-835	52	801	pardo	pardo	PROPN
cet-835	52	802	a.	a.	PROPN
cet-835	52	803	,	,	PUNCT
cet-835	52	804	real	real	PROPN
cet-835	52	805	e.	e.	PROPN
cet-835	52	806	,	,	PUNCT
cet-835	52	807	krishnaswamy	krishnaswamy	PROPN
cet-835	52	808	v.	v.	ADP
cet-835	52	809	,	,	PUNCT
cet-835	52	810	lópez	lópez	NOUN
cet-835	52	811	-	-	PUNCT
cet-835	52	812	higuera	higuera	NOUN
cet-835	52	813	j.	j.	PROPN
cet-835	52	814	m.	m.	PROPN
cet-835	52	815	,	,	PUNCT
cet-835	52	816	pogue	pogue	PROPN
cet-835	52	817	b.	b.	PROPN
cet-835	52	818	w.	w.	PROPN
cet-835	52	819	,	,	PUNCT
cet-835	52	820	conde	conde	PROPN
cet-835	52	821	o.	o.	PROPN
cet-835	52	822	m.	m.	NOUN
cet-835	52	823	,	,	PUNCT
cet-835	52	824	2017	2017	NUM
cet-835	52	825	,	,	PUNCT
cet-835	52	826	directional	directional	ADJ
cet-835	52	827	kernel	kernel	PROPN
cet-835	52	828	density	density	PROPN
cet-835	52	829	estimation	estimation	NOUN
cet-835	52	830	for	for	ADP
cet-835	52	831	classification	classification	NOUN
cet-835	52	832	of	of	ADP
cet-835	52	833	breast	breast	NOUN
cet-835	52	834	tissue	tissue	NOUN
cet-835	52	835	spectra	spectra	NOUN
cet-835	52	836	,	,	PUNCT
cet-835	52	837	ieee	ieee	NOUN
cet-835	52	838	transactions	transaction	NOUN
cet-835	52	839	on	on	ADP
cet-835	52	840	medical	medical	ADJ
cet-835	52	841	imaging	imaging	NOUN
cet-835	52	842	,	,	PUNCT
cet-835	52	843	36	36	NUM
cet-835	52	844	,	,	PUNCT
cet-835	52	845	64	64	NUM
cet-835	52	846	-	-	SYM
cet-835	52	847	73	73	NUM
cet-835	52	848	,	,	PUNCT
cet-835	52	849	doi	doi	NOUN
cet-835	52	850	:	:	PUNCT
cet-835	52	851	10.1109	10.1109	NUM
cet-835	52	852	/	/	SYM
cet-835	52	853	tmi.2016.2593948	tmi.2016.2593948	PROPN
cet-835	52	854	priebe	priebe	NOUN
cet-835	52	855	c.	c.	PROPN
cet-835	52	856	e.	e.	PROPN
cet-835	52	857	,	,	PUNCT
cet-835	52	858	marchette	marchette	PROPN
cet-835	52	859	d.	d.	PROPN
cet-835	52	860	j.	j.	PROPN
cet-835	52	861	,	,	PUNCT
cet-835	52	862	healy	healy	PROPN
cet-835	52	863	d.	d.	PROPN
cet-835	52	864	m.	m.	PROPN
cet-835	52	865	,	,	PUNCT
cet-835	52	866	2004	2004	NUM
cet-835	52	867	,	,	PUNCT
cet-835	52	868	integrated	integrate	VERB
cet-835	52	869	sensing	sensing	NOUN
cet-835	52	870	and	and	CCONJ
cet-835	52	871	processing	processing	NOUN
cet-835	52	872	decision	decision	NOUN
cet-835	52	873	trees	tree	NOUN
cet-835	52	874	,	,	PUNCT
cet-835	52	875	ieee	ieee	NOUN
cet-835	52	876	transactions	transaction	NOUN
cet-835	52	877	on	on	ADP
cet-835	52	878	pattern	pattern	NOUN
cet-835	52	879	analysis	analysis	NOUN
cet-835	52	880	and	and	CCONJ
cet-835	52	881	machine	machine	NOUN
cet-835	52	882	intelligence	intelligence	NOUN
cet-835	52	883	,	,	PUNCT
cet-835	52	884	26	26	NUM
cet-835	52	885	,	,	PUNCT
cet-835	52	886	699	699	NUM
cet-835	52	887	-	-	SYM
cet-835	52	888	708	708	NUM
cet-835	52	889	,	,	PUNCT
cet-835	52	890	doi	doi	NOUN
cet-835	52	891	:	:	PUNCT
cet-835	52	892	10.1109	10.1109	NUM
cet-835	52	893	/	/	SYM
cet-835	52	894	tpami.2004.12	tpami.2004.12	NOUN
cet-835	52	895	rodriguez	rodriguez	NOUN
cet-835	52	896	p.	p.	PROPN
cet-835	52	897	,	,	PUNCT
cet-835	52	898	cucurull	cucurull	PROPN
cet-835	52	899	g.	g.	PROPN
cet-835	52	900	,	,	PUNCT
cet-835	52	901	gonzàlez	gonzàlez	PROPN
cet-835	52	902	j.	j.	PROPN
cet-835	52	903	,	,	PUNCT
cet-835	52	904	gonfaus	gonfaus	PROPN
cet-835	52	905	j.	j.	PROPN
cet-835	52	906	m.	m.	PROPN
cet-835	52	907	,	,	PUNCT
cet-835	52	908	nasrollahi	nasrollahi	PROPN
cet-835	52	909	k.	k.	PROPN
cet-835	52	910	,	,	PUNCT
cet-835	52	911	moeslund	moeslund	ADV
cet-835	52	912	t.	t.	PROPN
cet-835	52	913	b.	b.	PROPN
cet-835	52	914	,	,	PUNCT
cet-835	52	915	roca	roca	PROPN
cet-835	52	916	f.	f.	PROPN
cet-835	52	917	x.	x.	PROPN
cet-835	52	918	,	,	PUNCT
cet-835	52	919	2017	2017	NUM
cet-835	52	920	,	,	PUNCT
cet-835	52	921	deep	deep	ADJ
cet-835	52	922	pain	pain	NOUN
cet-835	52	923	:	:	PUNCT
cet-835	52	924	exploiting	exploit	VERB
cet-835	52	925	long	long	ADJ
cet-835	52	926	short	short	ADJ
cet-835	52	927	-	-	PUNCT
cet-835	52	928	term	term	NOUN
cet-835	52	929	memory	memory	NOUN
cet-835	52	930	networks	network	NOUN
cet-835	52	931	for	for	ADP
cet-835	52	932	facial	facial	ADJ
cet-835	52	933	expression	expression	NOUN
cet-835	52	934	classification	classification	NOUN
cet-835	52	935	,	,	PUNCT
cet-835	52	936	ieee	ieee	NOUN
cet-835	52	937	transactions	transaction	NOUN
cet-835	52	938	on	on	ADP
cet-835	52	939	cybernetics	cybernetic	NOUN
cet-835	52	940	,	,	PUNCT
cet-835	52	941	1	1	NUM
cet-835	52	942	-	-	SYM
cet-835	52	943	11	11	NUM
cet-835	52	944	,	,	PUNCT
cet-835	52	945	doi	doi	NOUN
cet-835	52	946	:	:	PUNCT
cet-835	52	947	10.1109	10.1109	NUM
cet-835	52	948	/	/	SYM
cet-835	52	949	tcyb.2017.2662199	tcyb.2017.2662199	PROPN
cet-835	52	950	samek	samek	PROPN
cet-835	52	951	w.	w.	PROPN
cet-835	52	952	,	,	PUNCT
cet-835	52	953	binder	binder	NOUN
cet-835	52	954	a.	a.	PROPN
cet-835	52	955	,	,	PUNCT
cet-835	52	956	montavon	montavon	PROPN
cet-835	52	957	g.	g.	PROPN
cet-835	52	958	,	,	PUNCT
cet-835	52	959	lapuschkin	lapuschkin	PROPN
cet-835	52	960	s.	s.	PROPN
cet-835	52	961	,	,	PUNCT
cet-835	52	962	müller	müller	PROPN
cet-835	52	963	k.	k.	PROPN
cet-835	52	964	r.	r.	PROPN
cet-835	52	965	,	,	PUNCT
cet-835	52	966	2017	2017	NUM
cet-835	52	967	,	,	PUNCT
cet-835	52	968	evaluating	evaluate	VERB
cet-835	52	969	the	the	DET
cet-835	52	970	visualization	visualization	NOUN
cet-835	52	971	of	of	ADP
cet-835	52	972	what	what	PRON
cet-835	52	973	a	a	DET
cet-835	52	974	deep	deep	ADJ
cet-835	52	975	neural	neural	ADJ
cet-835	52	976	network	network	NOUN
cet-835	52	977	has	have	AUX
cet-835	52	978	learned	learn	VERB
cet-835	52	979	,	,	PUNCT
cet-835	52	980	ieee	ieee	NOUN
cet-835	52	981	transactions	transaction	NOUN
cet-835	52	982	on	on	ADP
cet-835	52	983	neural	neural	ADJ
cet-835	52	984	networks	network	NOUN
cet-835	52	985	and	and	CCONJ
cet-835	52	986	learning	learning	NOUN
cet-835	52	987	systems	system	NOUN
cet-835	52	988	,	,	PUNCT
cet-835	52	989	28	28	NUM
cet-835	52	990	,	,	PUNCT
cet-835	52	991	2660	2660	NUM
cet-835	52	992	-	-	SYM
cet-835	52	993	2673	2673	NUM
cet-835	52	994	,	,	PUNCT
cet-835	52	995	doi	doi	NOUN
cet-835	52	996	:	:	PUNCT
cet-835	53	1	10.1109	10.1109	NUM
cet-835	53	2	/	/	SYM
cet-835	53	3	tnnls.2016.2599820	tnnls.2016.2599820	NOUN
cet-835	53	4	selvam	selvam	ADJ
cet-835	53	5	i.r	i.r	PROPN
cet-835	53	6	.	.	PROPN
cet-835	53	7	p.	p.	PROPN
cet-835	53	8	,	,	PUNCT
cet-835	53	9	karuppiah	karuppiah	PROPN
cet-835	53	10	m.	m.	NOUN
cet-835	53	11	,	,	PUNCT
cet-835	53	12	2017	2017	NUM
cet-835	53	13	,	,	PUNCT
cet-835	53	14	gender	gender	NOUN
cet-835	53	15	recognition	recognition	NOUN
cet-835	53	16	based	base	VERB
cet-835	53	17	on	on	ADP
cet-835	53	18	face	face	NOUN
cet-835	53	19	image	image	NOUN
cet-835	53	20	using	use	VERB
cet-835	53	21	reinforced	reinforce	VERB
cet-835	53	22	local	local	ADJ
cet-835	53	23	binary	binary	NOUN
cet-835	53	24	patterns	pattern	NOUN
cet-835	53	25	,	,	PUNCT
cet-835	53	26	iet	iet	PROPN
cet-835	53	27	computer	computer	NOUN
cet-835	53	28	vision	vision	NOUN
cet-835	53	29	,	,	PUNCT
cet-835	53	30	11	11	NUM
cet-835	53	31	,	,	PUNCT
cet-835	53	32	415	415	NUM
cet-835	53	33	-	-	SYM
cet-835	53	34	425	425	NUM
cet-835	53	35	,	,	PUNCT
cet-835	53	36	doi	doi	NOUN
cet-835	53	37	:	:	PUNCT
cet-835	53	38	10.1049	10.1049	NUM
cet-835	53	39	/	/	SYM
cet-835	53	40	iet	iet	PROPN
cet-835	53	41	-	-	PUNCT
cet-835	53	42	cvi.2016.0087	cvi.2016.0087	PROPN
cet-835	53	43	tan	tan	PROPN
cet-835	53	44	j.	j.	PROPN
cet-835	53	45	,	,	PUNCT
cet-835	53	46	zhang	zhang	PROPN
cet-835	53	47	j.	j.	PROPN
cet-835	53	48	,	,	PUNCT
cet-835	53	49	zhang	zhang	PROPN
cet-835	53	50	y.	y.	PROPN
cet-835	53	51	,	,	PUNCT
cet-835	53	52	2017	2017	NUM
cet-835	53	53	,	,	PUNCT
cet-835	53	54	target	target	NOUN
cet-835	53	55	detection	detection	NOUN
cet-835	53	56	for	for	ADP
cet-835	53	57	polarized	polarize	VERB
cet-835	53	58	hyperspectral	hyperspectral	ADJ
cet-835	53	59	images	image	NOUN
cet-835	53	60	based	base	VERB
cet-835	53	61	on	on	ADP
cet-835	53	62	tensor	tensor	NOUN
cet-835	53	63	decomposition	decomposition	NOUN
cet-835	53	64	,	,	PUNCT
cet-835	53	65	ieee	ieee	NOUN
cet-835	53	66	geoscience	geoscience	NOUN
cet-835	53	67	and	and	CCONJ
cet-835	53	68	remote	remote	ADJ
cet-835	53	69	sensing	sense	VERB
cet-835	53	70	letters	letter	NOUN
cet-835	53	71	,	,	PUNCT
cet-835	53	72	14	14	NUM
cet-835	53	73	,	,	PUNCT
cet-835	53	74	674	674	NUM
cet-835	53	75	-	-	SYM
cet-835	53	76	678	678	NUM
cet-835	53	77	,	,	PUNCT
cet-835	53	78	doi	doi	NOUN
cet-835	53	79	:	:	PUNCT
cet-835	53	80	10.1109	10.1109	NUM
cet-835	53	81	/	/	SYM
cet-835	53	82	lgrs.2017.2671439	lgrs.2017.2671439	PROPN
cet-835	53	83	wang	wang	PROPN
cet-835	53	84	z.	z.	PROPN
cet-835	53	85	,	,	PUNCT
cet-835	53	86	du	du	PROPN
cet-835	53	87	b.	b.	PROPN
cet-835	53	88	,	,	PUNCT
cet-835	53	89	zhang	zhang	PROPN
cet-835	53	90	l.	l.	PROPN
cet-835	53	91	,	,	PUNCT
cet-835	53	92	zhang	zhang	PROPN
cet-835	53	93	l.	l.	PROPN
cet-835	53	94	,	,	PUNCT
cet-835	53	95	jia	jia	PROPN
cet-835	53	96	x.	x.	PROPN
cet-835	53	97	,	,	PUNCT
cet-835	53	98	2017	2017	NUM
cet-835	53	99	,	,	PUNCT
cet-835	53	100	a	a	DET
cet-835	53	101	novel	novel	NOUN
cet-835	53	102	semisupervised	semisupervise	VERB
cet-835	53	103	active	active	ADJ
cet-835	53	104	-	-	PUNCT
cet-835	53	105	learning	learn	VERB
cet-835	53	106	algorithm	algorithm	NOUN
cet-835	53	107	for	for	ADP
cet-835	53	108	hyperspectral	hyperspectral	ADJ
cet-835	53	109	image	image	NOUN
cet-835	53	110	classification	classification	NOUN
cet-835	53	111	,	,	PUNCT
cet-835	53	112	ieee	ieee	NOUN
cet-835	53	113	transactions	transaction	NOUN
cet-835	53	114	on	on	ADP
cet-835	53	115	geoscience	geoscience	NOUN
cet-835	53	116	and	and	CCONJ
cet-835	53	117	remote	remote	ADJ
cet-835	53	118	sensing	sensing	NOUN
cet-835	53	119	,	,	PUNCT
cet-835	53	120	55	55	NUM
cet-835	53	121	,	,	PUNCT
cet-835	53	122	30713083	30713083	NUM
cet-835	53	123	,	,	PUNCT
cet-835	53	124	doi	doi	NOUN
cet-835	53	125	:	:	PUNCT
cet-835	53	126	10.1109	10.1109	NUM
cet-835	53	127	/	/	SYM
cet-835	53	128	tgrs.2017.2650938	tgrs.2017.2650938	ADJ
cet-835	53	129	xia	xia	PROPN
cet-835	53	130	j.	j.	PROPN
cet-835	53	131	,	,	PUNCT
cet-835	53	132	falco	falco	PROPN
cet-835	53	133	n.	n.	PROPN
cet-835	53	134	,	,	PUNCT
cet-835	53	135	benediktsson	benediktsson	PROPN
cet-835	53	136	j.	j.	PROPN
cet-835	53	137	a.	a.	PROPN
cet-835	53	138	,	,	PUNCT
cet-835	53	139	chanussot	chanussot	PROPN
cet-835	53	140	j.	j.	PROPN
cet-835	53	141	,	,	PUNCT
cet-835	53	142	du	du	PROPN
cet-835	53	143	p.	p.	PROPN
cet-835	53	144	,	,	PUNCT
cet-835	53	145	2016	2016	NUM
cet-835	53	146	,	,	PUNCT
cet-835	53	147	class	class	NOUN
cet-835	53	148	-	-	PUNCT
cet-835	53	149	separation	separation	NOUN
cet-835	53	150	-	-	PUNCT
cet-835	53	151	based	base	VERB
cet-835	53	152	rotation	rotation	NOUN
cet-835	53	153	forest	forest	NOUN
cet-835	53	154	for	for	ADP
cet-835	53	155	hyperspectral	hyperspectral	ADJ
cet-835	53	156	image	image	NOUN
cet-835	53	157	classification	classification	NOUN
cet-835	53	158	,	,	PUNCT
cet-835	53	159	ieee	ieee	NOUN
cet-835	53	160	geoscience	geoscience	NOUN
cet-835	53	161	and	and	CCONJ
cet-835	53	162	remote	remote	ADJ
cet-835	53	163	sensing	sense	VERB
cet-835	53	164	letters	letter	NOUN
cet-835	53	165	,	,	PUNCT
cet-835	53	166	13	13	NUM
cet-835	53	167	,	,	PUNCT
cet-835	53	168	584	584	NUM
cet-835	53	169	-	-	SYM
cet-835	53	170	588	588	NUM
cet-835	53	171	,	,	PUNCT
cet-835	53	172	doi	doi	NOUN
cet-835	53	173	:	:	PUNCT
cet-835	53	174	10.1109	10.1109	NUM
cet-835	53	175	/	/	SYM
cet-835	53	176	lgrs.2016.2528043	lgrs.2016.2528043	PROPN
cet-835	53	177	yang	yang	PROPN
cet-835	53	178	w.	w.	PROPN
cet-835	53	179	,	,	PUNCT
cet-835	53	180	hou	hou	PROPN
cet-835	53	181	k.	k.	PROPN
cet-835	53	182	,	,	PUNCT
cet-835	53	183	liu	liu	PROPN
cet-835	53	184	b.	b.	PROPN
cet-835	53	185	,	,	PUNCT
cet-835	53	186	yu	yu	PROPN
cet-835	53	187	f.	f.	PROPN
cet-835	53	188	,	,	PUNCT
cet-835	53	189	lin	lin	PROPN
cet-835	53	190	l.	l.	PROPN
cet-835	53	191	,	,	PUNCT
cet-835	53	192	2017	2017	NUM
cet-835	53	193	,	,	PUNCT
cet-835	53	194	two	two	NUM
cet-835	53	195	-	-	PUNCT
cet-835	53	196	stage	stage	NOUN
cet-835	53	197	clustering	clustering	NOUN
cet-835	53	198	technique	technique	NOUN
cet-835	53	199	based	base	VERB
cet-835	53	200	on	on	ADP
cet-835	53	201	the	the	DET
cet-835	53	202	neighboring	neighboring	NOUN
cet-835	53	203	union	union	NOUN
cet-835	53	204	histogram	histogram	NOUN
cet-835	53	205	for	for	ADP
cet-835	53	206	hyperspectral	hyperspectral	ADJ
cet-835	53	207	remote	remote	ADJ
cet-835	53	208	sensing	sensing	NOUN
cet-835	53	209	images	image	NOUN
cet-835	53	210	,	,	PUNCT
cet-835	53	211	ieee	ieee	NOUN
cet-835	53	212	access	access	NOUN
cet-835	53	213	,	,	PUNCT
cet-835	53	214	5	5	NUM
cet-835	53	215	,	,	PUNCT
cet-835	53	216	5640	5640	NUM
cet-835	53	217	-	-	SYM
cet-835	53	218	5647	5647	NUM
cet-835	53	219	,	,	PUNCT
cet-835	53	220	doi	doi	NOUN
cet-835	53	221	:	:	PUNCT
cet-835	53	222	10.1109	10.1109	NUM
cet-835	53	223	/	/	SYM
cet-835	53	224	access.2017.2695616	access.2017.2695616	ADP
cet-835	53	225	222	222	NUM