id	sid	tid	token	lemma	pos
ijassa-1565	1	1	adv	adv	PROPN
ijassa-1565	1	2	syst	syst	PROPN
ijassa-1565	1	3	sci	sci	PROPN
ijassa-1565	1	4	appl	appl	PROPN
ijassa-1565	1	5	2024	2024	NUM
ijassa-1565	1	6	;	;	PUNCT
ijassa-1565	1	7	01:20–28	01:20–28	NUM
ijassa-1565	1	8	published	publish	VERB
ijassa-1565	1	9	online	online	ADV
ijassa-1565	1	10	at	at	ADP
ijassa-1565	1	11	https://ijassa.ipu.ru	https://ijassa.ipu.ru	ADV
ijassa-1565	1	12	.	.	PUNCT
ijassa-1565	2	1	methods	method	NOUN
ijassa-1565	2	2	of	of	ADP
ijassa-1565	2	3	estimation	estimation	NOUN
ijassa-1565	2	4	and	and	CCONJ
ijassa-1565	2	5	processing	processing	NOUN
ijassa-1565	2	6	of	of	ADP
ijassa-1565	2	7	aerospace	aerospace	NOUN
ijassa-1565	2	8	information	information	NOUN
ijassa-1565	2	9	in	in	ADP
ijassa-1565	2	10	image	image	NOUN
ijassa-1565	2	11	contouring	contouring	NOUN
ijassa-1565	2	12	problem	problem	NOUN
ijassa-1565	2	13	andrey	andrey	PROPN
ijassa-1565	2	14	a.	a.	NOUN
ijassa-1565	2	15	galyaev	galyaev	PROPN
ijassa-1565	2	16	*	*	PROPN
ijassa-1565	2	17	,	,	PUNCT
ijassa-1565	2	18	alexander	alexander	PROPN
ijassa-1565	2	19	v.	v.	PROPN
ijassa-1565	2	20	dobrovidov	dobrovidov	PROPN
ijassa-1565	2	21	,	,	PUNCT
ijassa-1565	2	22	pavel	pavel	PROPN
ijassa-1565	2	23	v.	v.	ADP
ijassa-1565	2	24	lysenko	lysenko	PROPN
ijassa-1565	2	25	,	,	PUNCT
ijassa-1565	2	26	leonid	leonid	PROPN
ijassa-1565	2	27	m.	m.	PROPN
ijassa-1565	2	28	berlin	berlin	PROPN
ijassa-1565	2	29	,	,	PUNCT
ijassa-1565	2	30	maria	maria	PROPN
ijassa-1565	2	31	a.	a.	PROPN
ijassa-1565	2	32	kolygo	kolygo	PROPN
ijassa-1565	2	33	v.a	v.a	PROPN
ijassa-1565	2	34	.	.	PROPN
ijassa-1565	2	35	trapeznikov	trapeznikov	PROPN
ijassa-1565	2	36	institute	institute	PROPN
ijassa-1565	2	37	of	of	ADP
ijassa-1565	2	38	control	control	PROPN
ijassa-1565	2	39	sciences	sciences	PROPN
ijassa-1565	2	40	of	of	ADP
ijassa-1565	2	41	russian	russian	ADJ
ijassa-1565	2	42	academy	academy	PROPN
ijassa-1565	2	43	of	of	ADP
ijassa-1565	2	44	sciences	sciences	PROPN
ijassa-1565	2	45	,	,	PUNCT
ijassa-1565	2	46	moscow	moscow	PROPN
ijassa-1565	2	47	,	,	PUNCT
ijassa-1565	2	48	russia	russia	PROPN
ijassa-1565	2	49	abstract	abstract	NOUN
ijassa-1565	2	50	:	:	PUNCT
ijassa-1565	2	51	the	the	DET
ijassa-1565	2	52	article	article	NOUN
ijassa-1565	2	53	proposes	propose	VERB
ijassa-1565	2	54	approaches	approach	NOUN
ijassa-1565	2	55	to	to	ADP
ijassa-1565	2	56	the	the	DET
ijassa-1565	2	57	solution	solution	NOUN
ijassa-1565	2	58	of	of	ADP
ijassa-1565	2	59	the	the	DET
ijassa-1565	2	60	segmentation	segmentation	NOUN
ijassa-1565	2	61	problem	problem	NOUN
ijassa-1565	2	62	of	of	ADP
ijassa-1565	2	63	real	real	ADJ
ijassa-1565	2	64	satellite	satellite	NOUN
ijassa-1565	2	65	images	image	NOUN
ijassa-1565	2	66	based	base	VERB
ijassa-1565	2	67	on	on	ADP
ijassa-1565	2	68	random	random	ADJ
ijassa-1565	2	69	markov	markov	NOUN
ijassa-1565	2	70	vector	vector	NOUN
ijassa-1565	2	71	fields	field	NOUN
ijassa-1565	2	72	and	and	CCONJ
ijassa-1565	2	73	new	new	ADJ
ijassa-1565	2	74	statistical	statistical	ADJ
ijassa-1565	2	75	textural	textural	ADJ
ijassa-1565	2	76	characteristics	characteristic	NOUN
ijassa-1565	2	77	for	for	ADP
ijassa-1565	2	78	gray	gray	ADJ
ijassa-1565	2	79	-	-	PUNCT
ijassa-1565	2	80	level	level	NOUN
ijassa-1565	2	81	co	co	NOUN
ijassa-1565	2	82	-	-	NOUN
ijassa-1565	2	83	occurrence	occurrence	ADJ
ijassa-1565	2	84	matrix	matrix	NOUN
ijassa-1565	2	85	.	.	PUNCT
ijassa-1565	3	1	the	the	DET
ijassa-1565	3	2	authors	author	NOUN
ijassa-1565	3	3	introduce	introduce	VERB
ijassa-1565	3	4	a	a	DET
ijassa-1565	3	5	novel	novel	ADJ
ijassa-1565	3	6	image	image	NOUN
ijassa-1565	3	7	textural	textural	ADJ
ijassa-1565	3	8	characteristic	characteristic	NOUN
ijassa-1565	3	9	called	call	VERB
ijassa-1565	3	10	statistical	statistical	ADJ
ijassa-1565	3	11	complexity	complexity	NOUN
ijassa-1565	3	12	that	that	PRON
ijassa-1565	3	13	successfully	successfully	ADV
ijassa-1565	3	14	distinguishes	distinguish	VERB
ijassa-1565	3	15	deterministic	deterministic	ADJ
ijassa-1565	3	16	structures	structure	NOUN
ijassa-1565	3	17	on	on	ADP
ijassa-1565	3	18	naturally	naturally	ADV
ijassa-1565	3	19	or	or	CCONJ
ijassa-1565	3	20	artificially	artificially	ADV
ijassa-1565	3	21	noised	noised	ADJ
ijassa-1565	3	22	images	image	NOUN
ijassa-1565	3	23	.	.	PUNCT
ijassa-1565	4	1	software	software	NOUN
ijassa-1565	4	2	modules	module	NOUN
ijassa-1565	4	3	have	have	AUX
ijassa-1565	4	4	been	be	AUX
ijassa-1565	4	5	developed	develop	VERB
ijassa-1565	4	6	and	and	CCONJ
ijassa-1565	4	7	satellite	satellite	NOUN
ijassa-1565	4	8	image	image	NOUN
ijassa-1565	4	9	examples	example	NOUN
ijassa-1565	4	10	are	be	AUX
ijassa-1565	4	11	processed	process	VERB
ijassa-1565	4	12	in	in	ADP
ijassa-1565	4	13	order	order	NOUN
ijassa-1565	4	14	to	to	PART
ijassa-1565	4	15	determine	determine	VERB
ijassa-1565	4	16	the	the	DET
ijassa-1565	4	17	contours	contours	NOUN
ijassa-1565	4	18	of	of	ADP
ijassa-1565	4	19	the	the	DET
ijassa-1565	4	20	land	land	NOUN
ijassa-1565	4	21	structures	structure	NOUN
ijassa-1565	4	22	and	and	CCONJ
ijassa-1565	4	23	the	the	DET
ijassa-1565	4	24	presence	presence	NOUN
ijassa-1565	4	25	of	of	ADP
ijassa-1565	4	26	static	static	ADJ
ijassa-1565	4	27	and	and	CCONJ
ijassa-1565	4	28	dynamic	dynamic	ADJ
ijassa-1565	4	29	objects	object	NOUN
ijassa-1565	4	30	on	on	ADP
ijassa-1565	4	31	the	the	DET
ijassa-1565	4	32	ocean	ocean	NOUN
ijassa-1565	4	33	surface	surface	NOUN
ijassa-1565	4	34	.	.	PUNCT
ijassa-1565	5	1	a	a	DET
ijassa-1565	5	2	comparison	comparison	NOUN
ijassa-1565	5	3	of	of	ADP
ijassa-1565	5	4	two	two	NUM
ijassa-1565	5	5	segmentation	segmentation	NOUN
ijassa-1565	5	6	methods	method	NOUN
ijassa-1565	5	7	on	on	ADP
ijassa-1565	5	8	real	real	ADJ
ijassa-1565	5	9	images	image	NOUN
ijassa-1565	5	10	has	have	AUX
ijassa-1565	5	11	been	be	AUX
ijassa-1565	5	12	made	make	VERB
ijassa-1565	5	13	,	,	PUNCT
ijassa-1565	5	14	which	which	PRON
ijassa-1565	5	15	showed	show	VERB
ijassa-1565	5	16	the	the	DET
ijassa-1565	5	17	prospects	prospect	NOUN
ijassa-1565	5	18	of	of	ADP
ijassa-1565	5	19	their	their	PRON
ijassa-1565	5	20	use	use	NOUN
ijassa-1565	5	21	in	in	ADP
ijassa-1565	5	22	automatic	automatic	ADJ
ijassa-1565	5	23	image	image	NOUN
ijassa-1565	5	24	processing	processing	NOUN
ijassa-1565	5	25	.	.	PUNCT
ijassa-1565	6	1	keywords	keyword	NOUN
ijassa-1565	6	2	:	:	PUNCT
ijassa-1565	6	3	earth	earth	NOUN
ijassa-1565	6	4	’s	’s	PART
ijassa-1565	6	5	surface	surface	NOUN
ijassa-1565	6	6	monitoring	monitoring	NOUN
ijassa-1565	6	7	,	,	PUNCT
ijassa-1565	6	8	image	image	NOUN
ijassa-1565	6	9	segmentation	segmentation	NOUN
ijassa-1565	6	10	and	and	CCONJ
ijassa-1565	6	11	contouring	contouring	NOUN
ijassa-1565	6	12	problem	problem	NOUN
ijassa-1565	6	13	,	,	PUNCT
ijassa-1565	6	14	aerospace	aerospace	NOUN
ijassa-1565	6	15	information	information	NOUN
ijassa-1565	6	16	processing	process	VERB
ijassa-1565	6	17	1	1	NUM
ijassa-1565	6	18	.	.	PUNCT
ijassa-1565	6	19	introduction	introduction	NOUN
ijassa-1565	6	20	aircraft	aircraft	NOUN
ijassa-1565	6	21	and	and	CCONJ
ijassa-1565	6	22	space	space	NOUN
ijassa-1565	6	23	monitoring	monitoring	NOUN
ijassa-1565	6	24	of	of	ADP
ijassa-1565	6	25	the	the	DET
ijassa-1565	6	26	earth	earth	NOUN
ijassa-1565	6	27	’s	’s	PART
ijassa-1565	6	28	surface	surface	NOUN
ijassa-1565	6	29	using	use	VERB
ijassa-1565	6	30	optical	optical	ADJ
ijassa-1565	6	31	and	and	CCONJ
ijassa-1565	6	32	radio	radio	NOUN
ijassa-1565	6	33	devices	device	NOUN
ijassa-1565	6	34	is	be	AUX
ijassa-1565	6	35	the	the	DET
ijassa-1565	6	36	main	main	ADJ
ijassa-1565	6	37	data	datum	NOUN
ijassa-1565	6	38	source	source	NOUN
ijassa-1565	6	39	for	for	ADP
ijassa-1565	6	40	building	build	VERB
ijassa-1565	6	41	electronic	electronic	ADJ
ijassa-1565	6	42	maps	map	NOUN
ijassa-1565	6	43	for	for	ADP
ijassa-1565	6	44	various	various	ADJ
ijassa-1565	6	45	purposes	purpose	NOUN
ijassa-1565	6	46	.	.	PUNCT
ijassa-1565	7	1	in	in	ADP
ijassa-1565	7	2	the	the	DET
ijassa-1565	7	3	problem	problem	NOUN
ijassa-1565	7	4	of	of	ADP
ijassa-1565	7	5	constructing	construct	VERB
ijassa-1565	7	6	electronic	electronic	ADJ
ijassa-1565	7	7	terrain	terrain	NOUN
ijassa-1565	7	8	maps	map	NOUN
ijassa-1565	7	9	based	base	VERB
ijassa-1565	7	10	on	on	ADP
ijassa-1565	7	11	data	datum	NOUN
ijassa-1565	7	12	obtained	obtain	VERB
ijassa-1565	7	13	by	by	ADP
ijassa-1565	7	14	aerospace	aerospace	NOUN
ijassa-1565	7	15	carriers	carrier	NOUN
ijassa-1565	7	16	,	,	PUNCT
ijassa-1565	7	17	the	the	DET
ijassa-1565	7	18	task	task	NOUN
ijassa-1565	7	19	of	of	ADP
ijassa-1565	7	20	constructing	construct	VERB
ijassa-1565	7	21	contours	contours	NOUN
ijassa-1565	7	22	of	of	ADP
ijassa-1565	7	23	objects	object	NOUN
ijassa-1565	7	24	of	of	ADP
ijassa-1565	7	25	natural	natural	ADJ
ijassa-1565	7	26	and	and	CCONJ
ijassa-1565	7	27	artificial	artificial	ADJ
ijassa-1565	7	28	nature	nature	NOUN
ijassa-1565	7	29	often	often	ADV
ijassa-1565	7	30	arises	arise	VERB
ijassa-1565	7	31	[	[	X
ijassa-1565	7	32	1	1	NUM
ijassa-1565	7	33	,	,	PUNCT
ijassa-1565	7	34	16	16	NUM
ijassa-1565	7	35	,	,	PUNCT
ijassa-1565	7	36	19	19	NUM
ijassa-1565	7	37	,	,	PUNCT
ijassa-1565	7	38	22	22	NUM
ijassa-1565	7	39	]	]	PUNCT
ijassa-1565	7	40	.	.	PUNCT
ijassa-1565	8	1	similar	similar	ADJ
ijassa-1565	8	2	texture	texture	NOUN
ijassa-1565	8	3	analysis	analysis	NOUN
ijassa-1565	8	4	tasks	task	NOUN
ijassa-1565	8	5	emerge	emerge	VERB
ijassa-1565	8	6	for	for	ADP
ijassa-1565	8	7	oil	oil	NOUN
ijassa-1565	8	8	spill	spill	NOUN
ijassa-1565	8	9	detection	detection	NOUN
ijassa-1565	8	10	on	on	ADP
ijassa-1565	8	11	the	the	DET
ijassa-1565	8	12	ocean	ocean	NOUN
ijassa-1565	8	13	surface	surface	NOUN
ijassa-1565	9	1	[	[	X
ijassa-1565	9	2	23	23	NUM
ijassa-1565	9	3	]	]	PUNCT
ijassa-1565	9	4	,	,	PUNCT
ijassa-1565	9	5	as	as	ADV
ijassa-1565	9	6	well	well	ADV
ijassa-1565	9	7	as	as	ADP
ijassa-1565	9	8	for	for	ADP
ijassa-1565	9	9	classifying	classify	VERB
ijassa-1565	9	10	atmospheric	atmospheric	ADJ
ijassa-1565	9	11	phenomena	phenomenon	NOUN
ijassa-1565	9	12	and	and	CCONJ
ijassa-1565	9	13	cloud	cloud	ADJ
ijassa-1565	9	14	types	type	NOUN
ijassa-1565	9	15	[	[	X
ijassa-1565	9	16	5	5	NUM
ijassa-1565	9	17	]	]	PUNCT
ijassa-1565	9	18	.	.	PUNCT
ijassa-1565	10	1	another	another	DET
ijassa-1565	10	2	problem	problem	NOUN
ijassa-1565	10	3	is	be	AUX
ijassa-1565	10	4	associated	associate	VERB
ijassa-1565	10	5	with	with	ADP
ijassa-1565	10	6	type	type	NOUN
ijassa-1565	10	7	determination	determination	NOUN
ijassa-1565	10	8	of	of	ADP
ijassa-1565	10	9	natural	natural	ADJ
ijassa-1565	10	10	and	and	CCONJ
ijassa-1565	10	11	artificial	artificial	ADJ
ijassa-1565	10	12	waves	wave	NOUN
ijassa-1565	10	13	on	on	ADP
ijassa-1565	10	14	the	the	DET
ijassa-1565	10	15	ocean	ocean	NOUN
ijassa-1565	10	16	surface	surface	NOUN
ijassa-1565	11	1	[	[	X
ijassa-1565	11	2	9,17	9,17	NOUN
ijassa-1565	11	3	]	]	X
ijassa-1565	11	4	,	,	PUNCT
ijassa-1565	11	5	as	as	ADV
ijassa-1565	11	6	well	well	ADV
ijassa-1565	11	7	as	as	ADP
ijassa-1565	11	8	finding	find	VERB
ijassa-1565	11	9	archaeological	archaeological	ADJ
ijassa-1565	11	10	or	or	CCONJ
ijassa-1565	11	11	sunken	sunken	ADJ
ijassa-1565	11	12	objects	object	NOUN
ijassa-1565	11	13	[	[	X
ijassa-1565	11	14	12	12	NUM
ijassa-1565	11	15	]	]	PUNCT
ijassa-1565	11	16	.	.	PUNCT
ijassa-1565	12	1	some	some	DET
ijassa-1565	12	2	segmentation	segmentation	NOUN
ijassa-1565	12	3	problems	problem	NOUN
ijassa-1565	12	4	include	include	VERB
ijassa-1565	12	5	the	the	DET
ijassa-1565	12	6	shoreline	shoreline	NOUN
ijassa-1565	12	7	of	of	ADP
ijassa-1565	12	8	lakes	lake	NOUN
ijassa-1565	12	9	and	and	CCONJ
ijassa-1565	12	10	seas	sea	NOUN
ijassa-1565	12	11	,	,	PUNCT
ijassa-1565	12	12	the	the	DET
ijassa-1565	12	13	border	border	NOUN
ijassa-1565	12	14	of	of	ADP
ijassa-1565	12	15	forests	forest	NOUN
ijassa-1565	12	16	and	and	CCONJ
ijassa-1565	12	17	ice	ice	NOUN
ijassa-1565	12	18	fields	field	NOUN
ijassa-1565	12	19	,	,	PUNCT
ijassa-1565	12	20	etc	etc	X
ijassa-1565	12	21	.	.	X
ijassa-1565	13	1	others	other	NOUN
ijassa-1565	13	2	include	include	VERB
ijassa-1565	13	3	the	the	DET
ijassa-1565	13	4	boundaries	boundary	NOUN
ijassa-1565	13	5	of	of	ADP
ijassa-1565	13	6	buildings	building	NOUN
ijassa-1565	13	7	,	,	PUNCT
ijassa-1565	13	8	roads	road	NOUN
ijassa-1565	13	9	,	,	PUNCT
ijassa-1565	13	10	transmission	transmission	NOUN
ijassa-1565	13	11	lines	line	NOUN
ijassa-1565	13	12	,	,	PUNCT
ijassa-1565	13	13	etc	etc	X
ijassa-1565	13	14	.	.	X
ijassa-1565	14	1	[	[	X
ijassa-1565	14	2	21	21	NUM
ijassa-1565	14	3	]	]	PUNCT
ijassa-1565	14	4	at	at	ADP
ijassa-1565	14	5	the	the	DET
ijassa-1565	14	6	same	same	ADJ
ijassa-1565	14	7	time	time	NOUN
ijassa-1565	14	8	,	,	PUNCT
ijassa-1565	14	9	one	one	NUM
ijassa-1565	14	10	of	of	ADP
ijassa-1565	14	11	the	the	DET
ijassa-1565	14	12	main	main	ADJ
ijassa-1565	14	13	tasks	task	NOUN
ijassa-1565	14	14	of	of	ADP
ijassa-1565	14	15	creating	create	VERB
ijassa-1565	14	16	electronic	electronic	ADJ
ijassa-1565	14	17	maps	map	NOUN
ijassa-1565	14	18	is	be	AUX
ijassa-1565	14	19	the	the	DET
ijassa-1565	14	20	task	task	NOUN
ijassa-1565	14	21	of	of	ADP
ijassa-1565	14	22	outlining	outline	VERB
ijassa-1565	14	23	objects	object	NOUN
ijassa-1565	14	24	for	for	ADP
ijassa-1565	14	25	their	their	PRON
ijassa-1565	14	26	further	further	ADJ
ijassa-1565	14	27	vectorization	vectorization	NOUN
ijassa-1565	14	28	and	and	CCONJ
ijassa-1565	14	29	compressed	compressed	ADJ
ijassa-1565	14	30	representation	representation	NOUN
ijassa-1565	14	31	.	.	PUNCT
ijassa-1565	15	1	the	the	DET
ijassa-1565	15	2	totality	totality	NOUN
ijassa-1565	15	3	of	of	ADP
ijassa-1565	15	4	measurements	measurement	NOUN
ijassa-1565	15	5	of	of	ADP
ijassa-1565	15	6	various	various	ADJ
ijassa-1565	15	7	physical	physical	ADJ
ijassa-1565	15	8	quantities	quantity	NOUN
ijassa-1565	15	9	on	on	ADP
ijassa-1565	15	10	the	the	DET
ijassa-1565	15	11	sea	sea	NOUN
ijassa-1565	15	12	surface	surface	NOUN
ijassa-1565	15	13	,	,	PUNCT
ijassa-1565	15	14	deep	deep	ADJ
ijassa-1565	15	15	flat	flat	ADJ
ijassa-1565	15	16	sections	section	NOUN
ijassa-1565	15	17	and	and	CCONJ
ijassa-1565	15	18	flat	flat	ADJ
ijassa-1565	15	19	sections	section	NOUN
ijassa-1565	15	20	in	in	ADP
ijassa-1565	15	21	the	the	DET
ijassa-1565	15	22	atmosphere	atmosphere	NOUN
ijassa-1565	15	23	generate	generate	VERB
ijassa-1565	15	24	measurement	measurement	NOUN
ijassa-1565	15	25	fields	field	NOUN
ijassa-1565	15	26	,	,	PUNCT
ijassa-1565	15	27	the	the	DET
ijassa-1565	15	28	structure	structure	NOUN
ijassa-1565	15	29	of	of	ADP
ijassa-1565	15	30	which	which	PRON
ijassa-1565	15	31	varies	vary	VERB
ijassa-1565	15	32	depending	depend	VERB
ijassa-1565	15	33	on	on	ADP
ijassa-1565	15	34	various	various	ADJ
ijassa-1565	15	35	processes	process	NOUN
ijassa-1565	15	36	occurring	occur	VERB
ijassa-1565	15	37	both	both	CCONJ
ijassa-1565	15	38	under	under	ADP
ijassa-1565	15	39	the	the	DET
ijassa-1565	15	40	sea	sea	NOUN
ijassa-1565	15	41	surface	surface	NOUN
ijassa-1565	15	42	and	and	CCONJ
ijassa-1565	15	43	above	above	ADP
ijassa-1565	15	44	the	the	DET
ijassa-1565	15	45	surface	surface	NOUN
ijassa-1565	16	1	[	[	X
ijassa-1565	16	2	6	6	NUM
ijassa-1565	16	3	,	,	PUNCT
ijassa-1565	16	4	14	14	NUM
ijassa-1565	16	5	]	]	PUNCT
ijassa-1565	16	6	.	.	PUNCT
ijassa-1565	17	1	such	such	ADJ
ijassa-1565	17	2	digitized	digitize	VERB
ijassa-1565	17	3	data	data	NOUN
ijassa-1565	17	4	fields	field	NOUN
ijassa-1565	17	5	are	be	AUX
ijassa-1565	17	6	the	the	DET
ijassa-1565	17	7	source	source	NOUN
ijassa-1565	17	8	material	material	NOUN
ijassa-1565	17	9	for	for	ADP
ijassa-1565	17	10	making	make	VERB
ijassa-1565	17	11	decisions	decision	NOUN
ijassa-1565	17	12	about	about	ADP
ijassa-1565	17	13	the	the	DET
ijassa-1565	17	14	presence	presence	NOUN
ijassa-1565	17	15	of	of	ADP
ijassa-1565	17	16	various	various	ADJ
ijassa-1565	17	17	anomalies	anomaly	NOUN
ijassa-1565	17	18	[	[	X
ijassa-1565	17	19	20	20	NUM
ijassa-1565	17	20	]	]	PUNCT
ijassa-1565	17	21	in	in	ADP
ijassa-1565	17	22	the	the	DET
ijassa-1565	17	23	observed	observe	VERB
ijassa-1565	17	24	field	field	NOUN
ijassa-1565	17	25	implementations	implementation	NOUN
ijassa-1565	17	26	and	and	CCONJ
ijassa-1565	17	27	highlighting	highlight	VERB
ijassa-1565	17	28	their	their	PRON
ijassa-1565	17	29	shape	shape	NOUN
ijassa-1565	17	30	.	.	PUNCT
ijassa-1565	18	1	however	however	ADV
ijassa-1565	18	2	,	,	PUNCT
ijassa-1565	18	3	direct	direct	ADJ
ijassa-1565	18	4	handling	handling	NOUN
ijassa-1565	18	5	of	of	ADP
ijassa-1565	18	6	physical	physical	ADJ
ijassa-1565	18	7	models	model	NOUN
ijassa-1565	18	8	is	be	AUX
ijassa-1565	18	9	extremely	extremely	ADV
ijassa-1565	18	10	inconvenient	inconvenient	ADJ
ijassa-1565	18	11	,	,	PUNCT
ijassa-1565	18	12	since	since	SCONJ
ijassa-1565	18	13	they	they	PRON
ijassa-1565	18	14	are	be	AUX
ijassa-1565	18	15	described	describe	VERB
ijassa-1565	18	16	,	,	PUNCT
ijassa-1565	18	17	as	as	ADP
ijassa-1565	18	18	a	a	DET
ijassa-1565	18	19	rule	rule	NOUN
ijassa-1565	18	20	,	,	PUNCT
ijassa-1565	18	21	by	by	ADP
ijassa-1565	18	22	complex	complex	ADJ
ijassa-1565	18	23	nonlinear	nonlinear	ADJ
ijassa-1565	18	24	equations	equation	NOUN
ijassa-1565	18	25	[	[	X
ijassa-1565	18	26	24	24	NUM
ijassa-1565	18	27	]	]	PUNCT
ijassa-1565	18	28	.	.	PUNCT
ijassa-1565	19	1	the	the	DET
ijassa-1565	19	2	procedure	procedure	NOUN
ijassa-1565	19	3	of	of	ADP
ijassa-1565	19	4	contouring	contouring	NOUN
ijassa-1565	19	5	is	be	AUX
ijassa-1565	19	6	often	often	ADV
ijassa-1565	19	7	reduced	reduce	VERB
ijassa-1565	19	8	to	to	PART
ijassa-1565	19	9	operator	operator	NOUN
ijassa-1565	19	10	delineating	delineate	VERB
ijassa-1565	19	11	with	with	ADP
ijassa-1565	19	12	an	an	DET
ijassa-1565	19	13	electronic	electronic	ADJ
ijassa-1565	19	14	pencil	pencil	NOUN
ijassa-1565	19	15	along	along	ADP
ijassa-1565	19	16	the	the	DET
ijassa-1565	19	17	visible	visible	ADJ
ijassa-1565	19	18	boundaries	boundary	NOUN
ijassa-1565	19	19	of	of	ADP
ijassa-1565	19	20	objects	object	NOUN
ijassa-1565	19	21	.	.	PUNCT
ijassa-1565	20	1	it	it	PRON
ijassa-1565	20	2	is	be	AUX
ijassa-1565	20	3	proposed	propose	VERB
ijassa-1565	20	4	to	to	PART
ijassa-1565	20	5	replace	replace	VERB
ijassa-1565	20	6	this	this	DET
ijassa-1565	20	7	heavy	heavy	ADJ
ijassa-1565	20	8	unproductive	unproductive	ADJ
ijassa-1565	20	9	work	work	NOUN
ijassa-1565	20	10	∗corresponding	∗corresponde	VERB
ijassa-1565	20	11	author	author	NOUN
ijassa-1565	20	12	:	:	PUNCT
ijassa-1565	20	13	galaev@ipu.ru	galaev@ipu.ru	VERB
ijassa-1565	20	14	processing	processing	NOUN
ijassa-1565	20	15	of	of	ADP
ijassa-1565	20	16	aerospace	aerospace	NOUN
ijassa-1565	20	17	information	information	NOUN
ijassa-1565	20	18	in	in	ADP
ijassa-1565	20	19	image	image	NOUN
ijassa-1565	20	20	contouring	contouring	NOUN
ijassa-1565	20	21	problem	problem	NOUN
ijassa-1565	20	22	21	21	NUM
ijassa-1565	20	23	with	with	ADP
ijassa-1565	20	24	an	an	DET
ijassa-1565	20	25	automatic	automatic	ADJ
ijassa-1565	20	26	contouring	contouring	NOUN
ijassa-1565	20	27	procedure	procedure	NOUN
ijassa-1565	20	28	,	,	PUNCT
ijassa-1565	20	29	which	which	PRON
ijassa-1565	20	30	will	will	AUX
ijassa-1565	20	31	delineate	delineate	VERB
ijassa-1565	20	32	most	most	ADJ
ijassa-1565	20	33	of	of	ADP
ijassa-1565	20	34	the	the	DET
ijassa-1565	20	35	visible	visible	ADJ
ijassa-1565	20	36	objects	object	NOUN
ijassa-1565	20	37	in	in	ADP
ijassa-1565	20	38	the	the	DET
ijassa-1565	20	39	image	image	NOUN
ijassa-1565	20	40	.	.	PUNCT
ijassa-1565	21	1	a	a	DET
ijassa-1565	21	2	small	small	ADJ
ijassa-1565	21	3	part	part	NOUN
ijassa-1565	21	4	of	of	ADP
ijassa-1565	21	5	the	the	DET
ijassa-1565	21	6	remaining	remain	VERB
ijassa-1565	21	7	”	"	PUNCT
ijassa-1565	21	8	difficult	difficult	ADJ
ijassa-1565	21	9	”	"	PUNCT
ijassa-1565	21	10	objects	object	NOUN
ijassa-1565	21	11	can	can	AUX
ijassa-1565	21	12	be	be	AUX
ijassa-1565	21	13	handled	handle	VERB
ijassa-1565	21	14	by	by	ADP
ijassa-1565	21	15	operator	operator	NOUN
ijassa-1565	21	16	.	.	PUNCT
ijassa-1565	22	1	to	to	PART
ijassa-1565	22	2	solve	solve	VERB
ijassa-1565	22	3	the	the	DET
ijassa-1565	22	4	problem	problem	NOUN
ijassa-1565	22	5	of	of	ADP
ijassa-1565	22	6	image	image	NOUN
ijassa-1565	22	7	segmentation	segmentation	NOUN
ijassa-1565	22	8	,	,	PUNCT
ijassa-1565	22	9	the	the	DET
ijassa-1565	22	10	article	article	NOUN
ijassa-1565	22	11	suggests	suggest	VERB
ijassa-1565	22	12	two	two	NUM
ijassa-1565	22	13	approaches	approach	NOUN
ijassa-1565	22	14	:	:	PUNCT
ijassa-1565	22	15	the	the	DET
ijassa-1565	22	16	one	one	NOUN
ijassa-1565	22	17	based	base	VERB
ijassa-1565	22	18	on	on	ADP
ijassa-1565	22	19	the	the	DET
ijassa-1565	22	20	use	use	NOUN
ijassa-1565	22	21	of	of	ADP
ijassa-1565	22	22	a	a	DET
ijassa-1565	22	23	spatial	spatial	ADJ
ijassa-1565	22	24	interaction	interaction	NOUN
ijassa-1565	22	25	model	model	NOUN
ijassa-1565	22	26	(	(	PUNCT
ijassa-1565	22	27	spm	spm	PROPN
ijassa-1565	22	28	)	)	PUNCT
ijassa-1565	22	29	and	and	CCONJ
ijassa-1565	22	30	the	the	DET
ijassa-1565	22	31	second	second	ADJ
ijassa-1565	22	32	based	base	VERB
ijassa-1565	22	33	on	on	ADP
ijassa-1565	22	34	new	new	ADJ
ijassa-1565	22	35	textural	textural	ADJ
ijassa-1565	22	36	characteristic	characteristic	NOUN
ijassa-1565	22	37	called	call	VERB
ijassa-1565	22	38	statistical	statistical	ADJ
ijassa-1565	22	39	complexity	complexity	NOUN
ijassa-1565	22	40	.	.	PUNCT
ijassa-1565	23	1	such	such	ADJ
ijassa-1565	23	2	models	model	NOUN
ijassa-1565	23	3	can	can	AUX
ijassa-1565	23	4	describe	describe	VERB
ijassa-1565	23	5	some	some	DET
ijassa-1565	23	6	piecewise	piecewise	NOUN
ijassa-1565	23	7	homogeneous	homogeneous	ADJ
ijassa-1565	23	8	spatial	spatial	ADJ
ijassa-1565	23	9	structures	structure	NOUN
ijassa-1565	23	10	,	,	PUNCT
ijassa-1565	23	11	where	where	SCONJ
ijassa-1565	23	12	homogeneous	homogeneous	ADJ
ijassa-1565	23	13	areas	area	NOUN
ijassa-1565	23	14	are	be	AUX
ijassa-1565	23	15	called	call	VERB
ijassa-1565	23	16	textures	texture	NOUN
ijassa-1565	23	17	.	.	PUNCT
ijassa-1565	24	1	the	the	DET
ijassa-1565	24	2	main	main	ADJ
ijassa-1565	24	3	feature	feature	NOUN
ijassa-1565	24	4	of	of	ADP
ijassa-1565	24	5	the	the	DET
ijassa-1565	24	6	spm	spm	PROPN
ijassa-1565	24	7	is	be	AUX
ijassa-1565	24	8	that	that	SCONJ
ijassa-1565	24	9	they	they	PRON
ijassa-1565	24	10	allow	allow	VERB
ijassa-1565	24	11	taking	take	VERB
ijassa-1565	24	12	into	into	ADP
ijassa-1565	24	13	account	account	NOUN
ijassa-1565	24	14	the	the	DET
ijassa-1565	24	15	intra	intra	ADJ
ijassa-1565	24	16	-	-	ADJ
ijassa-1565	24	17	textural	textural	ADJ
ijassa-1565	24	18	dependence	dependence	NOUN
ijassa-1565	24	19	of	of	ADP
ijassa-1565	24	20	observations	observation	NOUN
ijassa-1565	24	21	.	.	PUNCT
ijassa-1565	25	1	this	this	DET
ijassa-1565	25	2	circumstance	circumstance	NOUN
ijassa-1565	25	3	turns	turn	VERB
ijassa-1565	25	4	out	out	ADP
ijassa-1565	25	5	to	to	PART
ijassa-1565	25	6	be	be	AUX
ijassa-1565	25	7	decisive	decisive	ADJ
ijassa-1565	25	8	,	,	PUNCT
ijassa-1565	25	9	since	since	ADV
ijassa-1565	25	10	,	,	PUNCT
ijassa-1565	25	11	for	for	ADP
ijassa-1565	25	12	example	example	NOUN
ijassa-1565	25	13	,	,	PUNCT
ijassa-1565	25	14	experience	experience	NOUN
ijassa-1565	25	15	with	with	ADP
ijassa-1565	25	16	radar	radar	NOUN
ijassa-1565	25	17	images	image	NOUN
ijassa-1565	25	18	has	have	AUX
ijassa-1565	25	19	shown	show	VERB
ijassa-1565	25	20	that	that	SCONJ
ijassa-1565	25	21	it	it	PRON
ijassa-1565	25	22	is	be	AUX
ijassa-1565	25	23	statistical	statistical	ADJ
ijassa-1565	25	24	relationships	relationship	NOUN
ijassa-1565	25	25	that	that	PRON
ijassa-1565	25	26	are	be	AUX
ijassa-1565	25	27	the	the	DET
ijassa-1565	25	28	characteristic	characteristic	ADJ
ijassa-1565	25	29	features	feature	NOUN
ijassa-1565	25	30	by	by	ADP
ijassa-1565	25	31	which	which	PRON
ijassa-1565	25	32	it	it	PRON
ijassa-1565	25	33	is	be	AUX
ijassa-1565	25	34	possible	possible	ADJ
ijassa-1565	25	35	to	to	PART
ijassa-1565	25	36	distinguish	distinguish	VERB
ijassa-1565	25	37	objects	object	NOUN
ijassa-1565	25	38	in	in	ADP
ijassa-1565	25	39	noisy	noisy	ADJ
ijassa-1565	25	40	images	image	NOUN
ijassa-1565	25	41	.	.	PUNCT
ijassa-1565	26	1	the	the	DET
ijassa-1565	26	2	usage	usage	NOUN
ijassa-1565	26	3	of	of	ADP
ijassa-1565	26	4	statistical	statistical	ADJ
ijassa-1565	26	5	complexity	complexity	NOUN
ijassa-1565	26	6	provides	provide	VERB
ijassa-1565	26	7	an	an	DET
ijassa-1565	26	8	advantage	advantage	NOUN
ijassa-1565	26	9	compared	compare	VERB
ijassa-1565	26	10	to	to	ADP
ijassa-1565	26	11	other	other	ADJ
ijassa-1565	26	12	image	image	NOUN
ijassa-1565	26	13	textural	textural	ADJ
ijassa-1565	26	14	characteristics	characteristic	NOUN
ijassa-1565	26	15	for	for	ADP
ijassa-1565	26	16	the	the	DET
ijassa-1565	26	17	detection	detection	NOUN
ijassa-1565	26	18	problem	problem	NOUN
ijassa-1565	26	19	of	of	ADP
ijassa-1565	26	20	the	the	DET
ijassa-1565	26	21	deterministic	deterministic	ADJ
ijassa-1565	26	22	signal	signal	NOUN
ijassa-1565	26	23	component	component	NOUN
ijassa-1565	26	24	[	[	X
ijassa-1565	26	25	2	2	NUM
ijassa-1565	26	26	]	]	PUNCT
ijassa-1565	26	27	,	,	PUNCT
ijassa-1565	26	28	[	[	X
ijassa-1565	26	29	3	3	NUM
ijassa-1565	26	30	]	]	PUNCT
ijassa-1565	26	31	.	.	PUNCT
ijassa-1565	27	1	the	the	DET
ijassa-1565	27	2	application	application	NOUN
ijassa-1565	27	3	of	of	ADP
ijassa-1565	27	4	information	information	NOUN
ijassa-1565	27	5	models	model	NOUN
ijassa-1565	27	6	developed	develop	VERB
ijassa-1565	27	7	in	in	ADP
ijassa-1565	27	8	this	this	DET
ijassa-1565	27	9	research	research	NOUN
ijassa-1565	27	10	and	and	CCONJ
ijassa-1565	27	11	their	their	PRON
ijassa-1565	27	12	modification	modification	NOUN
ijassa-1565	27	13	to	to	ADP
ijassa-1565	27	14	the	the	DET
ijassa-1565	27	15	characteristics	characteristic	NOUN
ijassa-1565	27	16	of	of	ADP
ijassa-1565	27	17	real	real	ADJ
ijassa-1565	27	18	images	image	NOUN
ijassa-1565	27	19	make	make	VERB
ijassa-1565	27	20	it	it	PRON
ijassa-1565	27	21	possible	possible	ADJ
ijassa-1565	27	22	to	to	PART
ijassa-1565	27	23	obtain	obtain	VERB
ijassa-1565	27	24	stable	stable	ADJ
ijassa-1565	27	25	boundaries	boundary	NOUN
ijassa-1565	27	26	of	of	ADP
ijassa-1565	27	27	objects	object	NOUN
ijassa-1565	27	28	and	and	CCONJ
ijassa-1565	27	29	reliably	reliably	ADV
ijassa-1565	27	30	distinguish	distinguish	VERB
ijassa-1565	27	31	their	their	PRON
ijassa-1565	27	32	contours	contours	NOUN
ijassa-1565	27	33	.	.	PUNCT
ijassa-1565	28	1	the	the	DET
ijassa-1565	28	2	current	current	ADJ
ijassa-1565	28	3	article	article	NOUN
ijassa-1565	28	4	describes	describe	VERB
ijassa-1565	28	5	the	the	DET
ijassa-1565	28	6	results	result	NOUN
ijassa-1565	28	7	of	of	ADP
ijassa-1565	28	8	segmentation	segmentation	NOUN
ijassa-1565	28	9	algorithms	algorithm	NOUN
ijassa-1565	28	10	on	on	ADP
ijassa-1565	28	11	noisy	noisy	ADJ
ijassa-1565	28	12	images	image	NOUN
ijassa-1565	28	13	based	base	VERB
ijassa-1565	28	14	on	on	ADP
ijassa-1565	28	15	markov	markov	PROPN
ijassa-1565	28	16	’s	’s	PART
ijassa-1565	28	17	field	field	NOUN
ijassa-1565	28	18	and	and	CCONJ
ijassa-1565	28	19	novel	novel	ADJ
ijassa-1565	28	20	statistical	statistical	ADJ
ijassa-1565	28	21	feature	feature	NOUN
ijassa-1565	28	22	called	call	VERB
ijassa-1565	28	23	statistical	statistical	ADJ
ijassa-1565	28	24	complexity	complexity	NOUN
ijassa-1565	28	25	.	.	PUNCT
ijassa-1565	29	1	2	2	X
ijassa-1565	29	2	.	.	X
ijassa-1565	29	3	information	information	NOUN
ijassa-1565	29	4	model	model	NOUN
ijassa-1565	29	5	of	of	ADP
ijassa-1565	29	6	spatial	spatial	ADJ
ijassa-1565	29	7	interaction	interaction	NOUN
ijassa-1565	29	8	to	to	PART
ijassa-1565	29	9	develop	develop	VERB
ijassa-1565	29	10	an	an	DET
ijassa-1565	29	11	automatic	automatic	ADJ
ijassa-1565	29	12	contouring	contouring	NOUN
ijassa-1565	29	13	procedure	procedure	NOUN
ijassa-1565	29	14	,	,	PUNCT
ijassa-1565	29	15	an	an	DET
ijassa-1565	29	16	effective	effective	ADJ
ijassa-1565	29	17	information	information	NOUN
ijassa-1565	29	18	approach	approach	NOUN
ijassa-1565	29	19	is	be	AUX
ijassa-1565	29	20	proposed	propose	VERB
ijassa-1565	29	21	,	,	PUNCT
ijassa-1565	29	22	in	in	ADP
ijassa-1565	29	23	which	which	PRON
ijassa-1565	29	24	a	a	DET
ijassa-1565	29	25	data	data	NOUN
ijassa-1565	29	26	field	field	NOUN
ijassa-1565	29	27	is	be	AUX
ijassa-1565	29	28	considered	consider	VERB
ijassa-1565	29	29	as	as	ADP
ijassa-1565	29	30	an	an	DET
ijassa-1565	29	31	implementation	implementation	NOUN
ijassa-1565	29	32	of	of	ADP
ijassa-1565	29	33	a	a	DET
ijassa-1565	29	34	random	random	ADJ
ijassa-1565	29	35	field	field	NOUN
ijassa-1565	29	36	,	,	PUNCT
ijassa-1565	29	37	where	where	SCONJ
ijassa-1565	29	38	each	each	DET
ijassa-1565	29	39	point	point	NOUN
ijassa-1565	29	40	of	of	ADP
ijassa-1565	29	41	the	the	DET
ijassa-1565	29	42	field	field	NOUN
ijassa-1565	29	43	is	be	AUX
ijassa-1565	29	44	statistically	statistically	ADV
ijassa-1565	29	45	related	relate	VERB
ijassa-1565	29	46	to	to	ADP
ijassa-1565	29	47	the	the	DET
ijassa-1565	29	48	surrounding	surround	VERB
ijassa-1565	29	49	points	point	NOUN
ijassa-1565	29	50	according	accord	VERB
ijassa-1565	29	51	to	to	ADP
ijassa-1565	29	52	statistical	statistical	ADJ
ijassa-1565	29	53	laws	law	NOUN
ijassa-1565	29	54	.	.	PUNCT
ijassa-1565	30	1	a	a	DET
ijassa-1565	30	2	set	set	NOUN
ijassa-1565	30	3	of	of	ADP
ijassa-1565	30	4	field	field	NOUN
ijassa-1565	30	5	points	point	NOUN
ijassa-1565	30	6	with	with	ADP
ijassa-1565	30	7	the	the	DET
ijassa-1565	30	8	same	same	ADJ
ijassa-1565	30	9	(	(	PUNCT
ijassa-1565	30	10	or	or	CCONJ
ijassa-1565	30	11	similar	similar	ADJ
ijassa-1565	30	12	statistical	statistical	ADJ
ijassa-1565	30	13	characteristics	characteristic	NOUN
ijassa-1565	30	14	)	)	PUNCT
ijassa-1565	30	15	form	form	VERB
ijassa-1565	30	16	a	a	DET
ijassa-1565	30	17	field	field	NOUN
ijassa-1565	30	18	segment	segment	NOUN
ijassa-1565	30	19	.	.	PUNCT
ijassa-1565	31	1	therefore	therefore	ADV
ijassa-1565	31	2	,	,	PUNCT
ijassa-1565	31	3	the	the	DET
ijassa-1565	31	4	task	task	NOUN
ijassa-1565	31	5	of	of	ADP
ijassa-1565	31	6	dividing	divide	VERB
ijassa-1565	31	7	the	the	DET
ijassa-1565	31	8	implementation	implementation	NOUN
ijassa-1565	31	9	of	of	ADP
ijassa-1565	31	10	the	the	DET
ijassa-1565	31	11	observed	observe	VERB
ijassa-1565	31	12	field	field	NOUN
ijassa-1565	31	13	(	(	PUNCT
ijassa-1565	31	14	hereinafter	hereinafter	VERB
ijassa-1565	31	15	the	the	DET
ijassa-1565	31	16	image	image	NOUN
ijassa-1565	31	17	)	)	PUNCT
ijassa-1565	31	18	into	into	ADP
ijassa-1565	31	19	areas	area	NOUN
ijassa-1565	31	20	with	with	ADP
ijassa-1565	31	21	different	different	ADJ
ijassa-1565	31	22	statistical	statistical	ADJ
ijassa-1565	31	23	characteristics	characteristic	NOUN
ijassa-1565	31	24	is	be	AUX
ijassa-1565	31	25	called	call	VERB
ijassa-1565	31	26	the	the	DET
ijassa-1565	31	27	image	image	NOUN
ijassa-1565	31	28	segmentation	segmentation	NOUN
ijassa-1565	31	29	task	task	NOUN
ijassa-1565	31	30	.	.	PUNCT
ijassa-1565	32	1	2.1	2.1	NUM
ijassa-1565	32	2	.	.	PUNCT
ijassa-1565	32	3	markov	markov	NOUN
ijassa-1565	32	4	model	model	NOUN
ijassa-1565	32	5	approach	approach	VERB
ijassa-1565	32	6	the	the	DET
ijassa-1565	32	7	basis	basis	NOUN
ijassa-1565	32	8	of	of	ADP
ijassa-1565	32	9	the	the	DET
ijassa-1565	32	10	spm	spm	PROPN
ijassa-1565	32	11	is	be	AUX
ijassa-1565	32	12	a	a	DET
ijassa-1565	32	13	set	set	NOUN
ijassa-1565	32	14	of	of	ADP
ijassa-1565	32	15	conditional	conditional	ADJ
ijassa-1565	32	16	distributions	distribution	NOUN
ijassa-1565	32	17	of	of	ADP
ijassa-1565	32	18	the	the	DET
ijassa-1565	32	19	values	value	NOUN
ijassa-1565	32	20	of	of	ADP
ijassa-1565	32	21	the	the	DET
ijassa-1565	32	22	observed	observe	VERB
ijassa-1565	32	23	field	field	NOUN
ijassa-1565	32	24	,	,	PUNCT
ijassa-1565	32	25	defined	define	VERB
ijassa-1565	32	26	at	at	ADP
ijassa-1565	32	27	each	each	DET
ijassa-1565	32	28	point	point	NOUN
ijassa-1565	32	29	of	of	ADP
ijassa-1565	32	30	the	the	DET
ijassa-1565	32	31	image	image	NOUN
ijassa-1565	32	32	at	at	ADP
ijassa-1565	32	33	the	the	DET
ijassa-1565	32	34	specified	specified	ADJ
ijassa-1565	32	35	values	value	NOUN
ijassa-1565	32	36	of	of	ADP
ijassa-1565	32	37	the	the	DET
ijassa-1565	32	38	field	field	NOUN
ijassa-1565	32	39	at	at	ADP
ijassa-1565	32	40	neighboring	neighboring	NOUN
ijassa-1565	32	41	points	point	NOUN
ijassa-1565	33	1	p	p	X
ijassa-1565	33	2	{	{	PUNCT
ijassa-1565	33	3	xij|xkl	xij|xkl	PROPN
ijassa-1565	33	4	,	,	PUNCT
ijassa-1565	33	5	(	(	PUNCT
ijassa-1565	33	6	k	k	X
ijassa-1565	33	7	,	,	PUNCT
ijassa-1565	33	8	l	l	NOUN
ijassa-1565	33	9	)	)	PUNCT
ijassa-1565	33	10	∈	∈	PROPN
ijassa-1565	33	11	sij	sij	PROPN
ijassa-1565	33	12	}	}	PUNCT
ijassa-1565	33	13	,	,	PUNCT
ijassa-1565	33	14	(	(	PUNCT
ijassa-1565	33	15	2.1	2.1	NUM
ijassa-1565	33	16	)	)	PUNCT
ijassa-1565	33	17	where	where	SCONJ
ijassa-1565	33	18	sij	sij	PROPN
ijassa-1565	33	19	is	be	AUX
ijassa-1565	33	20	the	the	DET
ijassa-1565	33	21	set	set	NOUN
ijassa-1565	33	22	of	of	ADP
ijassa-1565	33	23	neighboring	neighboring	NOUN
ijassa-1565	33	24	points	point	NOUN
ijassa-1565	33	25	around	around	ADP
ijassa-1565	33	26	a	a	DET
ijassa-1565	33	27	point	point	NOUN
ijassa-1565	33	28	(	(	PUNCT
ijassa-1565	33	29	i	i	PROPN
ijassa-1565	33	30	,	,	PUNCT
ijassa-1565	33	31	j	j	PROPN
ijassa-1565	33	32	)	)	PUNCT
ijassa-1565	33	33	called	call	VERB
ijassa-1565	33	34	a	a	DET
ijassa-1565	33	35	pattern	pattern	NOUN
ijassa-1565	33	36	,	,	PUNCT
ijassa-1565	33	37	i.e.	i.e.	X
ijassa-1565	33	38	sij	sij	PROPN
ijassa-1565	33	39	=	=	SYM
ijassa-1565	33	40	{	{	PUNCT
ijassa-1565	33	41	(	(	PUNCT
ijassa-1565	33	42	k	k	X
ijassa-1565	33	43	,	,	PUNCT
ijassa-1565	33	44	l	l	NOUN
ijassa-1565	33	45	)	)	PUNCT
ijassa-1565	33	46	:	:	PUNCT
ijassa-1565	33	47	(	(	PUNCT
ijassa-1565	33	48	k	k	X
ijassa-1565	33	49	,	,	PUNCT
ijassa-1565	33	50	l	l	NOUN
ijassa-1565	33	51	)	)	PUNCT
ijassa-1565	33	52	̸=	̸=	PROPN
ijassa-1565	33	53	(	(	PUNCT
ijassa-1565	33	54	i	i	PROPN
ijassa-1565	33	55	,	,	PUNCT
ijassa-1565	33	56	j	j	PROPN
ijassa-1565	33	57	)	)	PUNCT
ijassa-1565	33	58	}	}	PUNCT
ijassa-1565	33	59	.	.	PUNCT
ijassa-1565	34	1	another	another	DET
ijassa-1565	34	2	way	way	NOUN
ijassa-1565	34	3	to	to	PART
ijassa-1565	34	4	define	define	VERB
ijassa-1565	34	5	the	the	DET
ijassa-1565	34	6	field	field	NOUN
ijassa-1565	34	7	model	model	NOUN
ijassa-1565	34	8	is	be	AUX
ijassa-1565	34	9	given	give	VERB
ijassa-1565	34	10	by	by	ADP
ijassa-1565	34	11	the	the	DET
ijassa-1565	34	12	coupling	coupling	NOUN
ijassa-1565	34	13	equation	equation	NOUN
ijassa-1565	34	14	xij	xij	NOUN
ijassa-1565	34	15	=	=	PUNCT
ijassa-1565	34	16	φ(sx	φ(sx	NOUN
ijassa-1565	34	17	ij	ij	NOUN
ijassa-1565	34	18	,	,	PUNCT
ijassa-1565	34	19	ξij	ξij	NOUN
ijassa-1565	34	20	)	)	PUNCT
ijassa-1565	34	21	,	,	PUNCT
ijassa-1565	34	22	(	(	PUNCT
ijassa-1565	34	23	2.2	2.2	NUM
ijassa-1565	34	24	)	)	PUNCT
ijassa-1565	34	25	where	where	SCONJ
ijassa-1565	34	26	φ	φ	PROPN
ijassa-1565	34	27	is	be	AUX
ijassa-1565	34	28	a	a	DET
ijassa-1565	34	29	given	give	VERB
ijassa-1565	34	30	borel	borel	NOUN
ijassa-1565	34	31	function	function	NOUN
ijassa-1565	34	32	,	,	PUNCT
ijassa-1565	34	33	{	{	PUNCT
ijassa-1565	34	34	ξij	ξij	NOUN
ijassa-1565	34	35	}	}	PUNCT
ijassa-1565	34	36	is	be	AUX
ijassa-1565	34	37	a	a	DET
ijassa-1565	34	38	field	field	NOUN
ijassa-1565	34	39	of	of	ADP
ijassa-1565	34	40	mutually	mutually	ADV
ijassa-1565	34	41	independent	independent	ADJ
ijassa-1565	34	42	random	random	ADJ
ijassa-1565	34	43	variables	variable	NOUN
ijassa-1565	34	44	,	,	PUNCT
ijassa-1565	34	45	and	and	CCONJ
ijassa-1565	34	46	sx	sx	X
ijassa-1565	34	47	ij	ij	INTJ
ijassa-1565	34	48	=	=	PUNCT
ijassa-1565	34	49	{	{	PUNCT
ijassa-1565	34	50	xkl	xkl	NOUN
ijassa-1565	34	51	:	:	PUNCT
ijassa-1565	34	52	(	(	PUNCT
ijassa-1565	34	53	k	k	X
ijassa-1565	34	54	,	,	PUNCT
ijassa-1565	34	55	l	l	NOUN
ijassa-1565	34	56	)	)	PUNCT
ijassa-1565	34	57	∈	∈	PROPN
ijassa-1565	34	58	sij	sij	PROPN
ijassa-1565	34	59	}	}	PUNCT
ijassa-1565	34	60	is	be	AUX
ijassa-1565	34	61	a	a	DET
ijassa-1565	34	62	set	set	NOUN
ijassa-1565	34	63	of	of	ADP
ijassa-1565	34	64	observations	observation	NOUN
ijassa-1565	34	65	whose	whose	DET
ijassa-1565	34	66	indices	index	NOUN
ijassa-1565	34	67	belong	belong	VERB
ijassa-1565	34	68	to	to	ADP
ijassa-1565	34	69	the	the	DET
ijassa-1565	34	70	template	template	NOUN
ijassa-1565	34	71	.	.	PUNCT
ijassa-1565	35	1	when	when	SCONJ
ijassa-1565	35	2	constructing	construct	VERB
ijassa-1565	35	3	algorithms	algorithm	NOUN
ijassa-1565	35	4	for	for	ADP
ijassa-1565	35	5	statistical	statistical	ADJ
ijassa-1565	35	6	image	image	NOUN
ijassa-1565	35	7	analysis	analysis	NOUN
ijassa-1565	35	8	,	,	PUNCT
ijassa-1565	35	9	linear	linear	ADJ
ijassa-1565	35	10	auto	auto	NOUN
ijassa-1565	35	11	-	-	PUNCT
ijassa-1565	35	12	regressive	regressive	ADJ
ijassa-1565	35	13	models	model	NOUN
ijassa-1565	35	14	of	of	ADP
ijassa-1565	35	15	two	two	NUM
ijassa-1565	35	16	-	-	PUNCT
ijassa-1565	35	17	dimensional	dimensional	ADJ
ijassa-1565	35	18	fields	field	NOUN
ijassa-1565	35	19	are	be	AUX
ijassa-1565	35	20	most	most	ADV
ijassa-1565	35	21	often	often	ADV
ijassa-1565	35	22	used	use	VERB
ijassa-1565	35	23	xij	xij	PROPN
ijassa-1565	35	24	=	=	SYM
ijassa-1565	35	25	µ+	µ+	X
ijassa-1565	35	26	∑	∑	PROPN
ijassa-1565	35	27	(	(	PUNCT
ijassa-1565	35	28	k	k	NOUN
ijassa-1565	35	29	,	,	PUNCT
ijassa-1565	35	30	l)∈sij	l)∈sij	PROPN
ijassa-1565	35	31	akl(xi−k	akl(xi−k	PROPN
ijassa-1565	35	32	,	,	PUNCT
ijassa-1565	35	33	j−l	j−l	NOUN
ijassa-1565	35	34	−	−	PROPN
ijassa-1565	35	35	µ	µ	NUM
ijassa-1565	35	36	)	)	PUNCT
ijassa-1565	35	37	+	+	CCONJ
ijassa-1565	35	38	bξij	bξij	ADJ
ijassa-1565	35	39	,	,	PUNCT
ijassa-1565	35	40	(	(	PUNCT
ijassa-1565	35	41	2.3	2.3	NUM
ijassa-1565	35	42	)	)	PUNCT
ijassa-1565	35	43	where	where	SCONJ
ijassa-1565	35	44	µ	µ	NOUN
ijassa-1565	35	45	is	be	AUX
ijassa-1565	35	46	a	a	DET
ijassa-1565	35	47	mean	mean	ADJ
ijassa-1565	35	48	value	value	NOUN
ijassa-1565	35	49	,	,	PUNCT
ijassa-1565	35	50	akl	akl	PROPN
ijassa-1565	35	51	and	and	CCONJ
ijassa-1565	35	52	b	b	NOUN
ijassa-1565	35	53	are	be	AUX
ijassa-1565	35	54	some	some	DET
ijassa-1565	35	55	constant	constant	ADJ
ijassa-1565	35	56	model	model	NOUN
ijassa-1565	35	57	values	value	NOUN
ijassa-1565	35	58	.	.	PUNCT
ijassa-1565	36	1	depending	depend	VERB
ijassa-1565	36	2	on	on	ADP
ijassa-1565	36	3	the	the	DET
ijassa-1565	36	4	type	type	NOUN
ijassa-1565	36	5	of	of	ADP
ijassa-1565	36	6	template	template	NOUN
ijassa-1565	36	7	,	,	PUNCT
ijassa-1565	36	8	there	there	PRON
ijassa-1565	36	9	are	be	VERB
ijassa-1565	36	10	causal	causal	ADJ
ijassa-1565	36	11	,	,	PUNCT
ijassa-1565	36	12	semi	semi	ADJ
ijassa-1565	36	13	-	-	ADJ
ijassa-1565	36	14	causal	causal	ADJ
ijassa-1565	36	15	and	and	CCONJ
ijassa-1565	36	16	non	non	ADJ
ijassa-1565	36	17	-	-	ADJ
ijassa-1565	36	18	causal	causal	ADJ
ijassa-1565	36	19	models	model	NOUN
ijassa-1565	36	20	.	.	PUNCT
ijassa-1565	37	1	it	it	PRON
ijassa-1565	37	2	turns	turn	VERB
ijassa-1565	37	3	out	out	ADP
ijassa-1565	37	4	that	that	SCONJ
ijassa-1565	37	5	only	only	ADV
ijassa-1565	37	6	causal	causal	NOUN
ijassa-1565	37	7	models	model	NOUN
ijassa-1565	37	8	allow	allow	VERB
ijassa-1565	37	9	us	we	PRON
ijassa-1565	37	10	to	to	PART
ijassa-1565	37	11	obtain	obtain	VERB
ijassa-1565	37	12	convenient	convenient	ADJ
ijassa-1565	37	13	recurrent	recurrent	ADJ
ijassa-1565	37	14	image	image	NOUN
ijassa-1565	37	15	segmentation	segmentation	NOUN
ijassa-1565	37	16	procedures	procedure	NOUN
ijassa-1565	37	17	consistent	consistent	ADJ
ijassa-1565	37	18	with	with	ADP
ijassa-1565	37	19	a	a	DET
ijassa-1565	37	20	certain	certain	ADJ
ijassa-1565	37	21	(	(	PUNCT
ijassa-1565	37	22	for	for	ADP
ijassa-1565	37	23	example	example	NOUN
ijassa-1565	37	24	,	,	PUNCT
ijassa-1565	37	25	scanning	scanning	NOUN
ijassa-1565	37	26	)	)	PUNCT
ijassa-1565	37	27	method	method	NOUN
ijassa-1565	37	28	of	of	ADP
ijassa-1565	37	29	obtaining	obtain	VERB
ijassa-1565	37	30	image	image	NOUN
ijassa-1565	37	31	data	datum	NOUN
ijassa-1565	37	32	.	.	PUNCT
ijassa-1565	38	1	it	it	PRON
ijassa-1565	38	2	should	should	AUX
ijassa-1565	38	3	be	be	AUX
ijassa-1565	38	4	noted	note	VERB
ijassa-1565	38	5	that	that	SCONJ
ijassa-1565	38	6	models	model	NOUN
ijassa-1565	38	7	(	(	PUNCT
ijassa-1565	38	8	2.2	2.2	NUM
ijassa-1565	38	9	)	)	PUNCT
ijassa-1565	38	10	and	and	CCONJ
ijassa-1565	38	11	(	(	PUNCT
ijassa-1565	38	12	2.3	2.3	NUM
ijassa-1565	38	13	)	)	PUNCT
ijassa-1565	38	14	are	be	AUX
ijassa-1565	38	15	also	also	ADV
ijassa-1565	38	16	used	use	VERB
ijassa-1565	38	17	to	to	PART
ijassa-1565	38	18	generate	generate	VERB
ijassa-1565	38	19	random	random	ADJ
ijassa-1565	38	20	fields	field	NOUN
ijassa-1565	38	21	with	with	ADP
ijassa-1565	38	22	copyright	copyright	NOUN
ijassa-1565	38	23	©	©	PROPN
ijassa-1565	38	24	2024	2024	NUM
ijassa-1565	38	25	assa	assa	NOUN
ijassa-1565	38	26	.	.	PUNCT
ijassa-1565	39	1	adv	adv	PROPN
ijassa-1565	39	2	syst	syst	PROPN
ijassa-1565	39	3	sci	sci	PROPN
ijassa-1565	39	4	appl	appl	PROPN
ijassa-1565	39	5	(	(	PUNCT
ijassa-1565	39	6	2024	2024	NUM
ijassa-1565	39	7	)	)	PUNCT
ijassa-1565	39	8	22	22	NUM
ijassa-1565	39	9	a.a	a.a	PROPN
ijassa-1565	39	10	.	.	PROPN
ijassa-1565	39	11	galyaev	galyaev	PROPN
ijassa-1565	39	12	,	,	PUNCT
ijassa-1565	39	13	a.v	a.v	PROPN
ijassa-1565	39	14	.	.	PROPN
ijassa-1565	39	15	dobrovidov	dobrovidov	PROPN
ijassa-1565	39	16	,	,	PUNCT
ijassa-1565	39	17	p.v	p.v	PROPN
ijassa-1565	39	18	.	.	PROPN
ijassa-1565	39	19	lysenko	lysenko	PROPN
ijassa-1565	39	20	,	,	PUNCT
ijassa-1565	39	21	l.m	l.m	PROPN
ijassa-1565	39	22	.	.	PROPN
ijassa-1565	39	23	berlin	berlin	PROPN
ijassa-1565	39	24	,	,	PUNCT
ijassa-1565	39	25	m.a	m.a	PROPN
ijassa-1565	39	26	.	.	PROPN
ijassa-1565	39	27	kolygo	kolygo	NOUN
ijassa-1565	39	28	specified	specify	VERB
ijassa-1565	39	29	statistical	statistical	ADJ
ijassa-1565	39	30	properties	property	NOUN
ijassa-1565	39	31	in	in	ADP
ijassa-1565	39	32	model	model	NOUN
ijassa-1565	39	33	experiments	experiment	NOUN
ijassa-1565	39	34	,	,	PUNCT
ijassa-1565	39	35	and	and	CCONJ
ijassa-1565	39	36	in	in	ADP
ijassa-1565	39	37	this	this	DET
ijassa-1565	39	38	case	case	NOUN
ijassa-1565	39	39	only	only	ADV
ijassa-1565	39	40	the	the	DET
ijassa-1565	39	41	causal	causal	ADJ
ijassa-1565	39	42	model	model	NOUN
ijassa-1565	39	43	allows	allow	VERB
ijassa-1565	39	44	generating	generate	VERB
ijassa-1565	39	45	the	the	DET
ijassa-1565	39	46	next	next	ADJ
ijassa-1565	39	47	field	field	NOUN
ijassa-1565	39	48	value	value	NOUN
ijassa-1565	39	49	from	from	ADP
ijassa-1565	39	50	those	those	PRON
ijassa-1565	39	51	already	already	ADV
ijassa-1565	39	52	calculated	calculate	VERB
ijassa-1565	39	53	up	up	ADP
ijassa-1565	39	54	to	to	ADP
ijassa-1565	39	55	this	this	DET
ijassa-1565	39	56	point	point	NOUN
ijassa-1565	39	57	.	.	PUNCT
ijassa-1565	40	1	another	another	DET
ijassa-1565	40	2	class	class	NOUN
ijassa-1565	40	3	of	of	ADP
ijassa-1565	40	4	commonly	commonly	ADV
ijassa-1565	40	5	used	use	VERB
ijassa-1565	40	6	models	model	NOUN
ijassa-1565	40	7	includes	include	VERB
ijassa-1565	40	8	markov	markov	NOUN
ijassa-1565	40	9	models	model	NOUN
ijassa-1565	40	10	that	that	PRON
ijassa-1565	40	11	generate	generate	VERB
ijassa-1565	40	12	fields	field	NOUN
ijassa-1565	40	13	with	with	ADP
ijassa-1565	40	14	a	a	DET
ijassa-1565	40	15	finite	finite	ADJ
ijassa-1565	40	16	number	number	NOUN
ijassa-1565	40	17	of	of	ADP
ijassa-1565	40	18	states	state	NOUN
ijassa-1565	40	19	θij	θij	VERB
ijassa-1565	40	20	.	.	PUNCT
ijassa-1565	41	1	for	for	ADP
ijassa-1565	41	2	these	these	DET
ijassa-1565	41	3	models	model	NOUN
ijassa-1565	41	4	,	,	PUNCT
ijassa-1565	41	5	textures	texture	NOUN
ijassa-1565	41	6	are	be	AUX
ijassa-1565	41	7	described	describe	VERB
ijassa-1565	41	8	directly	directly	ADV
ijassa-1565	41	9	by	by	ADP
ijassa-1565	41	10	a	a	DET
ijassa-1565	41	11	set	set	NOUN
ijassa-1565	41	12	of	of	ADP
ijassa-1565	41	13	conditional	conditional	ADJ
ijassa-1565	41	14	probabilities	probability	NOUN
ijassa-1565	41	15	p	p	X
ijassa-1565	41	16	{	{	PUNCT
ijassa-1565	41	17	θij|θkl	θij|θkl	NOUN
ijassa-1565	41	18	,	,	PUNCT
ijassa-1565	41	19	(	(	PUNCT
ijassa-1565	41	20	k	k	X
ijassa-1565	41	21	,	,	PUNCT
ijassa-1565	41	22	l	l	NOUN
ijassa-1565	41	23	)	)	PUNCT
ijassa-1565	41	24	∈	∈	PROPN
ijassa-1565	41	25	sij	sij	PROPN
ijassa-1565	41	26	}	}	PUNCT
ijassa-1565	41	27	.	.	PUNCT
ijassa-1565	42	1	the	the	DET
ijassa-1565	42	2	mottled	mottled	ADJ
ijassa-1565	42	3	structure	structure	NOUN
ijassa-1565	42	4	of	of	ADP
ijassa-1565	42	5	the	the	DET
ijassa-1565	42	6	image	image	NOUN
ijassa-1565	42	7	(	(	PUNCT
ijassa-1565	42	8	for	for	ADP
ijassa-1565	42	9	example	example	NOUN
ijassa-1565	42	10	,	,	PUNCT
ijassa-1565	42	11	a	a	DET
ijassa-1565	42	12	sea	sea	NOUN
ijassa-1565	42	13	surface	surface	NOUN
ijassa-1565	42	14	)	)	PUNCT
ijassa-1565	42	15	containing	contain	VERB
ijassa-1565	42	16	anomalous	anomalous	ADJ
ijassa-1565	42	17	areas	area	NOUN
ijassa-1565	42	18	,	,	PUNCT
ijassa-1565	42	19	can	can	AUX
ijassa-1565	42	20	be	be	AUX
ijassa-1565	42	21	described	describe	VERB
ijassa-1565	42	22	as	as	ADP
ijassa-1565	42	23	a	a	DET
ijassa-1565	42	24	composition	composition	NOUN
ijassa-1565	42	25	of	of	ADP
ijassa-1565	42	26	various	various	ADJ
ijassa-1565	42	27	textures	texture	NOUN
ijassa-1565	42	28	generated	generate	VERB
ijassa-1565	42	29	by	by	ADP
ijassa-1565	42	30	the	the	DET
ijassa-1565	42	31	spm	spm	PROPN
ijassa-1565	42	32	.	.	PUNCT
ijassa-1565	43	1	the	the	DET
ijassa-1565	43	2	approach	approach	NOUN
ijassa-1565	43	3	to	to	ADP
ijassa-1565	43	4	texture	texture	ADJ
ijassa-1565	43	5	composition	composition	NOUN
ijassa-1565	43	6	proposed	propose	VERB
ijassa-1565	43	7	here	here	ADV
ijassa-1565	43	8	allows	allow	VERB
ijassa-1565	43	9	us	we	PRON
ijassa-1565	43	10	to	to	PART
ijassa-1565	43	11	achieve	achieve	VERB
ijassa-1565	43	12	the	the	DET
ijassa-1565	43	13	following	follow	VERB
ijassa-1565	43	14	important	important	ADJ
ijassa-1565	43	15	results	result	NOUN
ijassa-1565	43	16	:	:	PUNCT
ijassa-1565	43	17	1	1	X
ijassa-1565	43	18	.	.	X
ijassa-1565	43	19	take	take	VERB
ijassa-1565	43	20	into	into	ADP
ijassa-1565	43	21	account	account	NOUN
ijassa-1565	43	22	the	the	DET
ijassa-1565	43	23	relationship	relationship	NOUN
ijassa-1565	43	24	of	of	ADP
ijassa-1565	43	25	all	all	DET
ijassa-1565	43	26	observations	observation	NOUN
ijassa-1565	43	27	in	in	ADP
ijassa-1565	43	28	the	the	DET
ijassa-1565	43	29	image	image	NOUN
ijassa-1565	43	30	field	field	NOUN
ijassa-1565	43	31	;	;	PUNCT
ijassa-1565	43	32	2	2	X
ijassa-1565	43	33	.	.	X
ijassa-1565	43	34	make	make	VERB
ijassa-1565	43	35	the	the	DET
ijassa-1565	43	36	border	border	NOUN
ijassa-1565	43	37	between	between	ADP
ijassa-1565	43	38	homogeneous	homogeneous	ADJ
ijassa-1565	43	39	textures	texture	NOUN
ijassa-1565	43	40	blurred	blur	VERB
ijassa-1565	43	41	,	,	PUNCT
ijassa-1565	43	42	which	which	PRON
ijassa-1565	43	43	directly	directly	ADV
ijassa-1565	43	44	corresponds	correspond	VERB
ijassa-1565	43	45	to	to	ADP
ijassa-1565	43	46	the	the	DET
ijassa-1565	43	47	actual	actual	ADJ
ijassa-1565	43	48	data	datum	NOUN
ijassa-1565	43	49	obtained	obtain	VERB
ijassa-1565	43	50	;	;	PUNCT
ijassa-1565	43	51	3	3	X
ijassa-1565	43	52	.	.	X
ijassa-1565	43	53	get	get	VERB
ijassa-1565	43	54	a	a	DET
ijassa-1565	43	55	spotty	spotty	ADJ
ijassa-1565	43	56	structure	structure	NOUN
ijassa-1565	43	57	of	of	ADP
ijassa-1565	43	58	arbitrary	arbitrary	ADJ
ijassa-1565	43	59	random	random	ADJ
ijassa-1565	43	60	shape	shape	NOUN
ijassa-1565	43	61	;	;	PUNCT
ijassa-1565	43	62	4	4	X
ijassa-1565	43	63	.	.	PUNCT
ijassa-1565	43	64	to	to	PART
ijassa-1565	43	65	build	build	VERB
ijassa-1565	43	66	an	an	DET
ijassa-1565	43	67	informational	informational	ADJ
ijassa-1565	43	68	mathematical	mathematical	ADJ
ijassa-1565	43	69	model	model	NOUN
ijassa-1565	43	70	,	,	PUNCT
ijassa-1565	43	71	which	which	PRON
ijassa-1565	43	72	is	be	AUX
ijassa-1565	43	73	a	a	DET
ijassa-1565	43	74	constructive	constructive	ADJ
ijassa-1565	43	75	basis	basis	NOUN
ijassa-1565	43	76	for	for	ADP
ijassa-1565	43	77	the	the	DET
ijassa-1565	43	78	synthesis	synthesis	NOUN
ijassa-1565	43	79	of	of	ADP
ijassa-1565	43	80	recurrent	recurrent	ADJ
ijassa-1565	43	81	image	image	NOUN
ijassa-1565	43	82	segmentation	segmentation	NOUN
ijassa-1565	43	83	procedures	procedure	NOUN
ijassa-1565	43	84	.	.	PUNCT
ijassa-1565	44	1	a	a	DET
ijassa-1565	44	2	texture	texture	ADJ
ijassa-1565	44	3	composition	composition	NOUN
ijassa-1565	44	4	with	with	ADP
ijassa-1565	44	5	the	the	DET
ijassa-1565	44	6	specified	specify	VERB
ijassa-1565	44	7	properties	property	NOUN
ijassa-1565	44	8	is	be	AUX
ijassa-1565	44	9	constructed	construct	VERB
ijassa-1565	44	10	as	as	SCONJ
ijassa-1565	44	11	follows	follow	VERB
ijassa-1565	44	12	.	.	PUNCT
ijassa-1565	45	1	first	first	ADV
ijassa-1565	45	2	,	,	PUNCT
ijassa-1565	45	3	a	a	DET
ijassa-1565	45	4	markov	markov	NOUN
ijassa-1565	45	5	field	field	NOUN
ijassa-1565	45	6	{	{	PUNCT
ijassa-1565	45	7	θij	θij	PROPN
ijassa-1565	45	8	}	}	PUNCT
ijassa-1565	45	9	is	be	AUX
ijassa-1565	45	10	generated	generate	VERB
ijassa-1565	45	11	based	base	VERB
ijassa-1565	45	12	on	on	ADP
ijassa-1565	45	13	a	a	DET
ijassa-1565	45	14	given	give	VERB
ijassa-1565	45	15	system	system	NOUN
ijassa-1565	45	16	of	of	ADP
ijassa-1565	45	17	conditional	conditional	ADJ
ijassa-1565	45	18	probabilities	probability	NOUN
ijassa-1565	45	19	.	.	PUNCT
ijassa-1565	46	1	the	the	DET
ijassa-1565	46	2	composition	composition	NOUN
ijassa-1565	46	3	of	of	ADP
ijassa-1565	46	4	textures	texture	NOUN
ijassa-1565	46	5	is	be	AUX
ijassa-1565	46	6	obtained	obtain	VERB
ijassa-1565	46	7	using	use	VERB
ijassa-1565	46	8	the	the	DET
ijassa-1565	46	9	equation	equation	NOUN
ijassa-1565	46	10	xij	xij	NOUN
ijassa-1565	46	11	=	=	SYM
ijassa-1565	46	12	µ(θij	µ(θij	PROPN
ijassa-1565	46	13	)	)	PUNCT
ijassa-1565	46	14	+	+	CCONJ
ijassa-1565	46	15	∑	∑	PROPN
ijassa-1565	46	16	(	(	PUNCT
ijassa-1565	46	17	k	k	NOUN
ijassa-1565	46	18	,	,	PUNCT
ijassa-1565	46	19	l)∈sij	l)∈sij	PROPN
ijassa-1565	46	20	akl(θij)(xi−k	akl(θij)(xi−k	PROPN
ijassa-1565	46	21	,	,	PUNCT
ijassa-1565	46	22	j−l	j−l	NOUN
ijassa-1565	46	23	−	−	NOUN
ijassa-1565	46	24	µ(θij	µ(θij	PROPN
ijassa-1565	46	25	)	)	PUNCT
ijassa-1565	46	26	)	)	PUNCT
ijassa-1565	47	1	+	+	CCONJ
ijassa-1565	47	2	b(θij)ξij	b(θij)ξij	ADJ
ijassa-1565	47	3	,	,	PUNCT
ijassa-1565	47	4	(	(	PUNCT
ijassa-1565	47	5	2.4	2.4	NUM
ijassa-1565	47	6	)	)	PUNCT
ijassa-1565	47	7	in	in	ADP
ijassa-1565	47	8	which	which	PRON
ijassa-1565	47	9	the	the	DET
ijassa-1565	47	10	coefficients	coefficient	NOUN
ijassa-1565	47	11	are	be	AUX
ijassa-1565	47	12	controlled	control	VERB
ijassa-1565	47	13	by	by	ADP
ijassa-1565	47	14	a	a	DET
ijassa-1565	47	15	markov	markov	NOUN
ijassa-1565	47	16	field	field	NOUN
ijassa-1565	47	17	{	{	PUNCT
ijassa-1565	47	18	θij	θij	NOUN
ijassa-1565	47	19	}	}	PUNCT
ijassa-1565	47	20	.	.	PUNCT
ijassa-1565	48	1	now	now	ADV
ijassa-1565	48	2	this	this	DET
ijassa-1565	48	3	image	image	NOUN
ijassa-1565	48	4	is	be	AUX
ijassa-1565	48	5	the	the	DET
ijassa-1565	48	6	source	source	NOUN
ijassa-1565	48	7	for	for	ADP
ijassa-1565	48	8	its	its	PRON
ijassa-1565	48	9	segmentation	segmentation	NOUN
ijassa-1565	48	10	into	into	ADP
ijassa-1565	48	11	areas	area	NOUN
ijassa-1565	48	12	with	with	ADP
ijassa-1565	48	13	the	the	DET
ijassa-1565	48	14	same	same	ADJ
ijassa-1565	48	15	statistical	statistical	ADJ
ijassa-1565	48	16	properties	property	NOUN
ijassa-1565	48	17	.	.	PUNCT
ijassa-1565	49	1	model	model	NOUN
ijassa-1565	49	2	(	(	PUNCT
ijassa-1565	49	3	2.4	2.4	NUM
ijassa-1565	49	4	)	)	PUNCT
ijassa-1565	49	5	allows	allow	VERB
ijassa-1565	49	6	one	one	PRON
ijassa-1565	49	7	to	to	PART
ijassa-1565	49	8	use	use	VERB
ijassa-1565	49	9	optimal	optimal	ADJ
ijassa-1565	49	10	recurrent	recurrent	ADJ
ijassa-1565	49	11	algorithms	algorithm	NOUN
ijassa-1565	49	12	developed	develop	VERB
ijassa-1565	49	13	by	by	ADP
ijassa-1565	49	14	the	the	DET
ijassa-1565	49	15	authors	author	NOUN
ijassa-1565	49	16	for	for	ADP
ijassa-1565	49	17	segmentation	segmentation	NOUN
ijassa-1565	49	18	,	,	PUNCT
ijassa-1565	49	19	while	while	SCONJ
ijassa-1565	49	20	making	make	VERB
ijassa-1565	49	21	a	a	DET
ijassa-1565	49	22	minimal	minimal	ADJ
ijassa-1565	49	23	error	error	NOUN
ijassa-1565	49	24	.	.	PUNCT
ijassa-1565	50	1	however	however	ADV
ijassa-1565	50	2	,	,	PUNCT
ijassa-1565	50	3	to	to	PART
ijassa-1565	50	4	do	do	VERB
ijassa-1565	50	5	this	this	PRON
ijassa-1565	50	6	,	,	PUNCT
ijassa-1565	50	7	it	it	PRON
ijassa-1565	50	8	is	be	AUX
ijassa-1565	50	9	necessary	necessary	ADJ
ijassa-1565	50	10	to	to	PART
ijassa-1565	50	11	use	use	VERB
ijassa-1565	50	12	all	all	DET
ijassa-1565	50	13	the	the	DET
ijassa-1565	50	14	statistical	statistical	ADJ
ijassa-1565	50	15	characteristics	characteristic	NOUN
ijassa-1565	50	16	of	of	ADP
ijassa-1565	50	17	both	both	CCONJ
ijassa-1565	50	18	the	the	DET
ijassa-1565	50	19	markov	markov	NOUN
ijassa-1565	50	20	field	field	NOUN
ijassa-1565	50	21	and	and	CCONJ
ijassa-1565	50	22	the	the	DET
ijassa-1565	50	23	coefficients	coefficient	NOUN
ijassa-1565	50	24	of	of	ADP
ijassa-1565	50	25	equation	equation	NOUN
ijassa-1565	50	26	(	(	PUNCT
ijassa-1565	50	27	2.4	2.4	NUM
ijassa-1565	50	28	)	)	PUNCT
ijassa-1565	50	29	.	.	PUNCT
ijassa-1565	51	1	however	however	ADV
ijassa-1565	51	2	,	,	PUNCT
ijassa-1565	51	3	in	in	ADP
ijassa-1565	51	4	practice	practice	NOUN
ijassa-1565	51	5	,	,	PUNCT
ijassa-1565	51	6	it	it	PRON
ijassa-1565	51	7	is	be	AUX
ijassa-1565	51	8	impossible	impossible	ADJ
ijassa-1565	51	9	to	to	PART
ijassa-1565	51	10	obtain	obtain	VERB
ijassa-1565	51	11	the	the	DET
ijassa-1565	51	12	characteristics	characteristic	NOUN
ijassa-1565	51	13	of	of	ADP
ijassa-1565	51	14	an	an	DET
ijassa-1565	51	15	unobservable	unobservable	ADJ
ijassa-1565	51	16	markov	markov	NOUN
ijassa-1565	51	17	field	field	NOUN
ijassa-1565	51	18	.	.	PUNCT
ijassa-1565	52	1	therefore	therefore	ADV
ijassa-1565	52	2	,	,	PUNCT
ijassa-1565	52	3	a	a	DET
ijassa-1565	52	4	modified	modify	VERB
ijassa-1565	52	5	cumulative	cumulative	ADJ
ijassa-1565	52	6	sum	sum	NOUN
ijassa-1565	52	7	algorithm	algorithm	NOUN
ijassa-1565	52	8	is	be	AUX
ijassa-1565	52	9	proposed	propose	VERB
ijassa-1565	52	10	here	here	ADV
ijassa-1565	52	11	for	for	ADP
ijassa-1565	52	12	segmentation	segmentation	NOUN
ijassa-1565	52	13	,	,	PUNCT
ijassa-1565	52	14	using	use	VERB
ijassa-1565	52	15	various	various	ADJ
ijassa-1565	52	16	sample	sample	NOUN
ijassa-1565	52	17	statistics	statistic	NOUN
ijassa-1565	52	18	obtained	obtain	VERB
ijassa-1565	52	19	directly	directly	ADV
ijassa-1565	52	20	from	from	ADP
ijassa-1565	52	21	the	the	DET
ijassa-1565	52	22	noise	noise	NOUN
ijassa-1565	52	23	image	image	NOUN
ijassa-1565	52	24	of	of	ADP
ijassa-1565	52	25	the	the	DET
ijassa-1565	52	26	type	type	NOUN
ijassa-1565	52	27	.	.	PUNCT
ijassa-1565	53	1	therefore	therefore	ADV
ijassa-1565	53	2	,	,	PUNCT
ijassa-1565	53	3	the	the	DET
ijassa-1565	53	4	linear	linear	ADJ
ijassa-1565	53	5	structure	structure	NOUN
ijassa-1565	53	6	of	of	ADP
ijassa-1565	53	7	the	the	DET
ijassa-1565	53	8	solution	solution	NOUN
ijassa-1565	53	9	is	be	AUX
ijassa-1565	53	10	caused	cause	VERB
ijassa-1565	53	11	by	by	ADP
ijassa-1565	53	12	a	a	DET
ijassa-1565	53	13	row	row	NOUN
ijassa-1565	53	14	-	-	PUNCT
ijassa-1565	53	15	by	by	ADP
ijassa-1565	53	16	-	-	PUNCT
ijassa-1565	53	17	row	row	NOUN
ijassa-1565	53	18	method	method	NOUN
ijassa-1565	53	19	of	of	ADP
ijassa-1565	53	20	calculating	calculate	VERB
ijassa-1565	53	21	statistics	statistic	NOUN
ijassa-1565	53	22	.	.	PUNCT
ijassa-1565	54	1	there	there	PRON
ijassa-1565	54	2	are	be	VERB
ijassa-1565	54	3	several	several	ADJ
ijassa-1565	54	4	ways	way	NOUN
ijassa-1565	54	5	to	to	PART
ijassa-1565	54	6	get	get	AUX
ijassa-1565	54	7	rid	rid	VERB
ijassa-1565	54	8	of	of	ADP
ijassa-1565	54	9	this	this	PRON
ijassa-1565	54	10	.	.	PUNCT
ijassa-1565	55	1	in	in	ADP
ijassa-1565	55	2	this	this	DET
ijassa-1565	55	3	paper	paper	NOUN
ijassa-1565	55	4	,	,	PUNCT
ijassa-1565	55	5	a	a	DET
ijassa-1565	55	6	nonlinear	nonlinear	ADJ
ijassa-1565	55	7	smoothing	smooth	VERB
ijassa-1565	55	8	filter	filter	NOUN
ijassa-1565	55	9	with	with	ADP
ijassa-1565	55	10	windows	window	NOUN
ijassa-1565	55	11	of	of	ADP
ijassa-1565	55	12	various	various	ADJ
ijassa-1565	55	13	sizes	size	NOUN
ijassa-1565	55	14	is	be	AUX
ijassa-1565	55	15	proposed	propose	VERB
ijassa-1565	55	16	.	.	PUNCT
ijassa-1565	56	1	in	in	ADP
ijassa-1565	56	2	addition	addition	NOUN
ijassa-1565	56	3	to	to	ADP
ijassa-1565	56	4	the	the	DET
ijassa-1565	56	5	likelihood	likelihood	NOUN
ijassa-1565	56	6	ratio	ratio	NOUN
ijassa-1565	56	7	statistics	statistic	NOUN
ijassa-1565	56	8	,	,	PUNCT
ijassa-1565	56	9	one	one	PRON
ijassa-1565	56	10	can	can	AUX
ijassa-1565	56	11	use	use	VERB
ijassa-1565	56	12	simpler	simple	ADJ
ijassa-1565	56	13	statistics	statistic	NOUN
ijassa-1565	56	14	in	in	ADP
ijassa-1565	56	15	the	the	DET
ijassa-1565	56	16	form	form	NOUN
ijassa-1565	56	17	of	of	ADP
ijassa-1565	56	18	a	a	DET
ijassa-1565	56	19	square	square	NOUN
ijassa-1565	56	20	of	of	ADP
ijassa-1565	56	21	the	the	DET
ijassa-1565	56	22	second	second	ADJ
ijassa-1565	56	23	difference	difference	NOUN
ijassa-1565	56	24	:	:	PUNCT
ijassa-1565	56	25	∆ij	∆ij	NOUN
ijassa-1565	56	26	=	=	SYM
ijassa-1565	56	27	(	(	PUNCT
ijassa-1565	56	28	xij	xij	PROPN
ijassa-1565	56	29	+	+	NUM
ijassa-1565	56	30	xi−1j−1	xi−1j−1	NUM
ijassa-1565	56	31	−	−	PROPN
ijassa-1565	57	1	xi−1j	xi−1j	X
ijassa-1565	57	2	−	−	PROPN
ijassa-1565	58	1	xij−1	xij−1	PROPN
ijassa-1565	58	2	)	)	PUNCT
ijassa-1565	58	3	.	.	PUNCT
ijassa-1565	59	1	(	(	PUNCT
ijassa-1565	59	2	2.5	2.5	NUM
ijassa-1565	59	3	)	)	PUNCT
ijassa-1565	59	4	studies	study	NOUN
ijassa-1565	59	5	have	have	AUX
ijassa-1565	59	6	shown	show	VERB
ijassa-1565	59	7	that	that	SCONJ
ijassa-1565	59	8	such	such	ADJ
ijassa-1565	59	9	statistics	statistic	NOUN
ijassa-1565	59	10	are	be	AUX
ijassa-1565	59	11	sensitive	sensitive	ADJ
ijassa-1565	59	12	to	to	ADP
ijassa-1565	59	13	changes	change	NOUN
ijassa-1565	59	14	in	in	ADP
ijassa-1565	59	15	texture	texture	ADJ
ijassa-1565	59	16	structure	structure	NOUN
ijassa-1565	59	17	,	,	PUNCT
ijassa-1565	59	18	but	but	CCONJ
ijassa-1565	59	19	not	not	PART
ijassa-1565	59	20	sensitive	sensitive	ADJ
ijassa-1565	59	21	to	to	ADP
ijassa-1565	59	22	changes	change	NOUN
ijassa-1565	59	23	in	in	ADP
ijassa-1565	59	24	mean	mean	NOUN
ijassa-1565	59	25	and	and	CCONJ
ijassa-1565	59	26	variance	variance	NOUN
ijassa-1565	59	27	.	.	PUNCT
ijassa-1565	60	1	therefore	therefore	ADV
ijassa-1565	60	2	,	,	PUNCT
ijassa-1565	60	3	it	it	PRON
ijassa-1565	60	4	is	be	AUX
ijassa-1565	60	5	good	good	ADJ
ijassa-1565	60	6	to	to	PART
ijassa-1565	60	7	apply	apply	VERB
ijassa-1565	60	8	it	it	PRON
ijassa-1565	60	9	to	to	ADP
ijassa-1565	60	10	those	those	DET
ijassa-1565	60	11	images	image	NOUN
ijassa-1565	60	12	in	in	ADP
ijassa-1565	60	13	which	which	PRON
ijassa-1565	60	14	the	the	DET
ijassa-1565	60	15	average	average	NOUN
ijassa-1565	60	16	does	do	AUX
ijassa-1565	60	17	not	not	PART
ijassa-1565	60	18	change	change	VERB
ijassa-1565	60	19	,	,	PUNCT
ijassa-1565	60	20	and	and	CCONJ
ijassa-1565	60	21	the	the	DET
ijassa-1565	60	22	correlation	correlation	NOUN
ijassa-1565	60	23	properties	property	NOUN
ijassa-1565	60	24	change	change	VERB
ijassa-1565	60	25	from	from	ADP
ijassa-1565	60	26	one	one	NUM
ijassa-1565	60	27	segment	segment	NOUN
ijassa-1565	60	28	to	to	ADP
ijassa-1565	60	29	another	another	PRON
ijassa-1565	60	30	.	.	PUNCT
ijassa-1565	61	1	at	at	ADP
ijassa-1565	61	2	the	the	DET
ijassa-1565	61	3	same	same	ADJ
ijassa-1565	61	4	time	time	NOUN
ijassa-1565	61	5	,	,	PUNCT
ijassa-1565	61	6	the	the	DET
ijassa-1565	61	7	advantage	advantage	NOUN
ijassa-1565	61	8	of	of	ADP
ijassa-1565	61	9	statistics	statistic	NOUN
ijassa-1565	61	10	is	be	AUX
ijassa-1565	61	11	that	that	SCONJ
ijassa-1565	61	12	it	it	PRON
ijassa-1565	61	13	does	do	AUX
ijassa-1565	61	14	not	not	PART
ijassa-1565	61	15	require	require	VERB
ijassa-1565	61	16	the	the	DET
ijassa-1565	61	17	evaluation	evaluation	NOUN
ijassa-1565	61	18	of	of	ADP
ijassa-1565	61	19	any	any	DET
ijassa-1565	61	20	parameters	parameter	NOUN
ijassa-1565	61	21	.	.	PUNCT
ijassa-1565	62	1	such	such	ADJ
ijassa-1565	62	2	nonparametric	nonparametric	NOUN
ijassa-1565	62	3	statistics	statistic	NOUN
ijassa-1565	62	4	often	often	ADV
ijassa-1565	62	5	turn	turn	VERB
ijassa-1565	62	6	out	out	ADP
ijassa-1565	62	7	to	to	PART
ijassa-1565	62	8	be	be	AUX
ijassa-1565	62	9	the	the	DET
ijassa-1565	62	10	most	most	ADV
ijassa-1565	62	11	suitable	suitable	ADJ
ijassa-1565	62	12	for	for	ADP
ijassa-1565	62	13	real	real	ADJ
ijassa-1565	62	14	situations	situation	NOUN
ijassa-1565	62	15	.	.	PUNCT
ijassa-1565	63	1	to	to	PART
ijassa-1565	63	2	segment	segment	VERB
ijassa-1565	63	3	real	real	ADJ
ijassa-1565	63	4	images	image	NOUN
ijassa-1565	63	5	using	use	VERB
ijassa-1565	63	6	likelihood	likelihood	NOUN
ijassa-1565	63	7	ratio	ratio	NOUN
ijassa-1565	63	8	statistics	statistic	NOUN
ijassa-1565	63	9	,	,	PUNCT
ijassa-1565	63	10	it	it	PRON
ijassa-1565	63	11	is	be	AUX
ijassa-1565	63	12	necessary	necessary	ADJ
ijassa-1565	63	13	to	to	PART
ijassa-1565	63	14	be	be	AUX
ijassa-1565	63	15	able	able	ADJ
ijassa-1565	63	16	to	to	PART
ijassa-1565	63	17	calculate	calculate	VERB
ijassa-1565	63	18	sample	sample	NOUN
ijassa-1565	63	19	correlation	correlation	NOUN
ijassa-1565	63	20	characteristics	characteristic	NOUN
ijassa-1565	63	21	obtained	obtain	VERB
ijassa-1565	63	22	from	from	ADP
ijassa-1565	63	23	homogeneous	homogeneous	ADJ
ijassa-1565	63	24	sections	section	NOUN
ijassa-1565	63	25	of	of	ADP
ijassa-1565	63	26	this	this	DET
ijassa-1565	63	27	image	image	NOUN
ijassa-1565	63	28	.	.	PUNCT
ijassa-1565	64	1	a	a	DET
ijassa-1565	64	2	white	white	ADJ
ijassa-1565	64	3	rectangle	rectangle	NOUN
ijassa-1565	64	4	describing	describe	VERB
ijassa-1565	64	5	it	it	PRON
ijassa-1565	64	6	is	be	AUX
ijassa-1565	64	7	built	build	VERB
ijassa-1565	64	8	around	around	ADP
ijassa-1565	64	9	this	this	DET
ijassa-1565	64	10	contour	contour	NOUN
ijassa-1565	64	11	,	,	PUNCT
ijassa-1565	64	12	defining	define	VERB
ijassa-1565	64	13	the	the	DET
ijassa-1565	64	14	minimum	minimum	ADJ
ijassa-1565	64	15	and	and	CCONJ
ijassa-1565	64	16	maximum	maximum	ADJ
ijassa-1565	64	17	coordinates	coordinate	NOUN
ijassa-1565	64	18	.	.	PUNCT
ijassa-1565	65	1	an	an	DET
ijassa-1565	65	2	example	example	NOUN
ijassa-1565	65	3	of	of	ADP
ijassa-1565	65	4	such	such	DET
ijassa-1565	65	5	a	a	DET
ijassa-1565	65	6	contour	contour	NOUN
ijassa-1565	65	7	is	be	AUX
ijassa-1565	65	8	shown	show	VERB
ijassa-1565	65	9	in	in	ADP
ijassa-1565	65	10	fig	fig	NOUN
ijassa-1565	65	11	.	.	PUNCT
ijassa-1565	66	1	2.1	2.1	NUM
ijassa-1565	66	2	.	.	PUNCT
ijassa-1565	67	1	according	accord	VERB
ijassa-1565	67	2	to	to	ADP
ijassa-1565	67	3	the	the	DET
ijassa-1565	67	4	data	datum	NOUN
ijassa-1565	67	5	inside	inside	ADP
ijassa-1565	67	6	this	this	DET
ijassa-1565	67	7	contour	contour	NOUN
ijassa-1565	67	8	,	,	PUNCT
ijassa-1565	67	9	the	the	DET
ijassa-1565	67	10	program	program	NOUN
ijassa-1565	67	11	automatically	automatically	ADV
ijassa-1565	67	12	calculates	calculate	VERB
ijassa-1565	67	13	the	the	DET
ijassa-1565	67	14	sample	sample	NOUN
ijassa-1565	67	15	mean	mean	VERB
ijassa-1565	67	16	,	,	PUNCT
ijassa-1565	67	17	variance	variance	NOUN
ijassa-1565	67	18	and	and	CCONJ
ijassa-1565	67	19	correlation	correlation	NOUN
ijassa-1565	67	20	characteristics	characteristic	NOUN
ijassa-1565	67	21	according	accord	VERB
ijassa-1565	67	22	to	to	ADP
ijassa-1565	67	23	a	a	DET
ijassa-1565	67	24	given	give	VERB
ijassa-1565	67	25	algorithm	algorithm	NOUN
ijassa-1565	67	26	.	.	PUNCT
ijassa-1565	68	1	for	for	ADP
ijassa-1565	68	2	clarity	clarity	NOUN
ijassa-1565	68	3	,	,	PUNCT
ijassa-1565	68	4	the	the	DET
ijassa-1565	68	5	program	program	NOUN
ijassa-1565	68	6	plots	plot	VERB
ijassa-1565	68	7	correlation	correlation	NOUN
ijassa-1565	68	8	functions	function	NOUN
ijassa-1565	68	9	,	,	PUNCT
ijassa-1565	68	10	allowing	allow	VERB
ijassa-1565	68	11	the	the	DET
ijassa-1565	68	12	operator	operator	NOUN
ijassa-1565	68	13	to	to	PART
ijassa-1565	68	14	assess	assess	VERB
ijassa-1565	68	15	by	by	ADP
ijassa-1565	68	16	eye	eye	NOUN
ijassa-1565	68	17	the	the	DET
ijassa-1565	68	18	degree	degree	NOUN
ijassa-1565	68	19	of	of	ADP
ijassa-1565	68	20	difference	difference	NOUN
ijassa-1565	68	21	in	in	ADP
ijassa-1565	68	22	characteristics	characteristic	NOUN
ijassa-1565	68	23	in	in	ADP
ijassa-1565	68	24	different	different	ADJ
ijassa-1565	68	25	areas	area	NOUN
ijassa-1565	68	26	of	of	ADP
ijassa-1565	68	27	the	the	DET
ijassa-1565	68	28	image	image	NOUN
ijassa-1565	68	29	.	.	PUNCT
ijassa-1565	69	1	copyright	copyright	NOUN
ijassa-1565	69	2	©	©	PROPN
ijassa-1565	69	3	2024	2024	NUM
ijassa-1565	69	4	assa	assa	NOUN
ijassa-1565	69	5	.	.	PUNCT
ijassa-1565	70	1	adv	adv	PROPN
ijassa-1565	70	2	syst	syst	PROPN
ijassa-1565	70	3	sci	sci	PROPN
ijassa-1565	70	4	appl	appl	PROPN
ijassa-1565	70	5	(	(	PUNCT
ijassa-1565	70	6	2024	2024	NUM
ijassa-1565	70	7	)	)	PUNCT
ijassa-1565	70	8	processing	processing	NOUN
ijassa-1565	70	9	of	of	ADP
ijassa-1565	70	10	aerospace	aerospace	NOUN
ijassa-1565	70	11	information	information	NOUN
ijassa-1565	70	12	in	in	ADP
ijassa-1565	70	13	image	image	NOUN
ijassa-1565	70	14	contouring	contouring	NOUN
ijassa-1565	70	15	problem	problem	NOUN
ijassa-1565	70	16	23	23	NUM
ijassa-1565	70	17	fig	fig	NOUN
ijassa-1565	70	18	.	.	PUNCT
ijassa-1565	71	1	2.1	2.1	NUM
ijassa-1565	71	2	.	.	PUNCT
ijassa-1565	72	1	real	real	ADJ
ijassa-1565	72	2	image	image	NOUN
ijassa-1565	72	3	.	.	PUNCT
ijassa-1565	73	1	correlation	correlation	NOUN
ijassa-1565	73	2	characteristics	characteristic	NOUN
ijassa-1565	73	3	using	use	VERB
ijassa-1565	73	4	the	the	DET
ijassa-1565	73	5	yule	yule	PROPN
ijassa-1565	73	6	-	-	PUNCT
ijassa-1565	73	7	walker	walker	NOUN
ijassa-1565	73	8	equations	equation	NOUN
ijassa-1565	73	9	are	be	AUX
ijassa-1565	73	10	recalculated	recalculate	VERB
ijassa-1565	73	11	into	into	ADP
ijassa-1565	73	12	the	the	DET
ijassa-1565	73	13	coefficients	coefficient	NOUN
ijassa-1565	73	14	of	of	ADP
ijassa-1565	73	15	equation	equation	NOUN
ijassa-1565	73	16	(	(	PUNCT
ijassa-1565	73	17	2.3	2.3	NUM
ijassa-1565	73	18	)	)	PUNCT
ijassa-1565	73	19	,	,	PUNCT
ijassa-1565	73	20	and	and	CCONJ
ijassa-1565	73	21	the	the	DET
ijassa-1565	73	22	latter	latter	ADJ
ijassa-1565	73	23	,	,	PUNCT
ijassa-1565	73	24	in	in	ADP
ijassa-1565	73	25	turn	turn	NOUN
ijassa-1565	73	26	,	,	PUNCT
ijassa-1565	73	27	are	be	AUX
ijassa-1565	73	28	substituted	substitute	VERB
ijassa-1565	73	29	into	into	ADP
ijassa-1565	73	30	the	the	DET
ijassa-1565	73	31	likelihood	likelihood	NOUN
ijassa-1565	73	32	ratio	ratio	NOUN
ijassa-1565	73	33	statistics	statistic	NOUN
ijassa-1565	73	34	.	.	PUNCT
ijassa-1565	74	1	the	the	DET
ijassa-1565	74	2	result	result	NOUN
ijassa-1565	74	3	of	of	ADP
ijassa-1565	74	4	image	image	NOUN
ijassa-1565	74	5	segmentation	segmentation	NOUN
ijassa-1565	74	6	is	be	AUX
ijassa-1565	74	7	shown	show	VERB
ijassa-1565	74	8	in	in	ADP
ijassa-1565	74	9	fig	fig	NOUN
ijassa-1565	74	10	.	.	PUNCT
ijassa-1565	75	1	2.2	2.2	NUM
ijassa-1565	75	2	.	.	PUNCT
ijassa-1565	75	3	of	of	ADP
ijassa-1565	75	4	particular	particular	ADJ
ijassa-1565	75	5	interest	interest	NOUN
ijassa-1565	75	6	is	be	AUX
ijassa-1565	75	7	the	the	DET
ijassa-1565	75	8	fig	fig	NOUN
ijassa-1565	75	9	.	.	PUNCT
ijassa-1565	76	1	2.2	2.2	NUM
ijassa-1565	76	2	.	.	PUNCT
ijassa-1565	77	1	segmentation	segmentation	NOUN
ijassa-1565	77	2	result	result	NOUN
ijassa-1565	77	3	.	.	PUNCT
ijassa-1565	78	1	possibility	possibility	NOUN
ijassa-1565	78	2	of	of	ADP
ijassa-1565	78	3	applying	apply	VERB
ijassa-1565	78	4	the	the	DET
ijassa-1565	78	5	developed	develop	VERB
ijassa-1565	78	6	algorithms	algorithm	NOUN
ijassa-1565	78	7	and	and	CCONJ
ijassa-1565	78	8	programs	program	NOUN
ijassa-1565	78	9	to	to	PART
ijassa-1565	78	10	radar	radar	VERB
ijassa-1565	78	11	images	image	NOUN
ijassa-1565	78	12	of	of	ADP
ijassa-1565	78	13	the	the	DET
ijassa-1565	78	14	sea	sea	NOUN
ijassa-1565	78	15	surface	surface	NOUN
ijassa-1565	78	16	.	.	PUNCT
ijassa-1565	79	1	the	the	DET
ijassa-1565	79	2	sensitivity	sensitivity	NOUN
ijassa-1565	79	3	of	of	ADP
ijassa-1565	79	4	the	the	DET
ijassa-1565	79	5	algorithms	algorithm	NOUN
ijassa-1565	79	6	to	to	ADP
ijassa-1565	79	7	small	small	ADJ
ijassa-1565	79	8	changes	change	NOUN
ijassa-1565	79	9	in	in	ADP
ijassa-1565	79	10	the	the	DET
ijassa-1565	79	11	surface	surface	NOUN
ijassa-1565	79	12	structure	structure	NOUN
ijassa-1565	79	13	allows	allow	VERB
ijassa-1565	79	14	detecting	detect	VERB
ijassa-1565	79	15	and	and	CCONJ
ijassa-1565	79	16	detecting	detect	VERB
ijassa-1565	79	17	the	the	DET
ijassa-1565	79	18	form	form	NOUN
ijassa-1565	79	19	of	of	ADP
ijassa-1565	79	20	anomalies	anomaly	NOUN
ijassa-1565	79	21	on	on	ADP
ijassa-1565	79	22	the	the	DET
ijassa-1565	79	23	windy	windy	ADJ
ijassa-1565	79	24	surface	surface	NOUN
ijassa-1565	79	25	caused	cause	VERB
ijassa-1565	79	26	by	by	ADP
ijassa-1565	79	27	various	various	ADJ
ijassa-1565	79	28	natural	natural	ADJ
ijassa-1565	79	29	and	and	CCONJ
ijassa-1565	79	30	man	man	NOUN
ijassa-1565	79	31	-	-	PUNCT
ijassa-1565	79	32	made	make	VERB
ijassa-1565	79	33	sources	source	NOUN
ijassa-1565	79	34	[	[	X
ijassa-1565	79	35	9	9	NUM
ijassa-1565	79	36	,	,	PUNCT
ijassa-1565	79	37	17	17	NUM
ijassa-1565	79	38	,	,	PUNCT
ijassa-1565	79	39	24	24	NUM
ijassa-1565	79	40	]	]	PUNCT
ijassa-1565	79	41	.	.	PUNCT
ijassa-1565	80	1	2.2	2.2	NUM
ijassa-1565	80	2	.	.	PUNCT
ijassa-1565	81	1	statistical	statistical	ADJ
ijassa-1565	81	2	and	and	CCONJ
ijassa-1565	81	3	information	information	NOUN
ijassa-1565	81	4	approaches	approach	NOUN
ijassa-1565	81	5	there	there	PRON
ijassa-1565	81	6	is	be	VERB
ijassa-1565	81	7	an	an	DET
ijassa-1565	81	8	alternative	alternative	ADJ
ijassa-1565	81	9	approach	approach	NOUN
ijassa-1565	81	10	for	for	ADP
ijassa-1565	81	11	image	image	NOUN
ijassa-1565	81	12	texture	texture	NOUN
ijassa-1565	81	13	analysis	analysis	NOUN
ijassa-1565	81	14	which	which	PRON
ijassa-1565	81	15	is	be	AUX
ijassa-1565	81	16	based	base	VERB
ijassa-1565	81	17	on	on	ADP
ijassa-1565	81	18	statistical	statistical	ADJ
ijassa-1565	81	19	characteristics	characteristic	NOUN
ijassa-1565	81	20	of	of	ADP
ijassa-1565	81	21	the	the	DET
ijassa-1565	81	22	image	image	NOUN
ijassa-1565	81	23	.	.	PUNCT
ijassa-1565	82	1	this	this	DET
ijassa-1565	82	2	approach	approach	NOUN
ijassa-1565	82	3	uses	use	VERB
ijassa-1565	82	4	different	different	ADJ
ijassa-1565	82	5	so	so	ADV
ijassa-1565	82	6	called	call	VERB
ijassa-1565	82	7	textural	textural	ADJ
ijassa-1565	82	8	features	feature	NOUN
ijassa-1565	82	9	based	base	VERB
ijassa-1565	82	10	on	on	ADP
ijassa-1565	82	11	gray	gray	ADJ
ijassa-1565	82	12	-	-	PUNCT
ijassa-1565	82	13	level	level	NOUN
ijassa-1565	82	14	co	co	NOUN
ijassa-1565	82	15	-	-	NOUN
ijassa-1565	82	16	occurrence	occurrence	ADJ
ijassa-1565	82	17	matrix	matrix	NOUN
ijassa-1565	82	18	.	.	PUNCT
ijassa-1565	83	1	gray	gray	ADJ
ijassa-1565	83	2	-	-	PUNCT
ijassa-1565	83	3	level	level	NOUN
ijassa-1565	83	4	co	co	NOUN
ijassa-1565	83	5	-	-	NOUN
ijassa-1565	83	6	occurrence	occurrence	ADJ
ijassa-1565	83	7	matrix	matrix	NOUN
ijassa-1565	83	8	(	(	PUNCT
ijassa-1565	83	9	glcm	glcm	PROPN
ijassa-1565	83	10	)	)	PUNCT
ijassa-1565	83	11	method	method	NOUN
ijassa-1565	83	12	have	have	AUX
ijassa-1565	83	13	been	be	AUX
ijassa-1565	83	14	first	first	ADV
ijassa-1565	83	15	described	describe	VERB
ijassa-1565	83	16	by	by	ADP
ijassa-1565	83	17	julesz	julesz	PROPN
ijassa-1565	83	18	[	[	X
ijassa-1565	83	19	13	13	NUM
ijassa-1565	83	20	]	]	PUNCT
ijassa-1565	83	21	,	,	PUNCT
ijassa-1565	83	22	where	where	SCONJ
ijassa-1565	83	23	gray	gray	ADJ
ijassa-1565	83	24	level	level	NOUN
ijassa-1565	83	25	co	co	NOUN
ijassa-1565	83	26	-	-	NOUN
ijassa-1565	83	27	occurrence	occurrence	ADJ
ijassa-1565	83	28	matrix	matrix	NOUN
ijassa-1565	83	29	as	as	ADP
ijassa-1565	83	30	the	the	DET
ijassa-1565	83	31	frequency	frequency	NOUN
ijassa-1565	83	32	of	of	ADP
ijassa-1565	83	33	the	the	DET
ijassa-1565	83	34	appearance	appearance	NOUN
ijassa-1565	83	35	of	of	ADP
ijassa-1565	83	36	individual	individual	ADJ
ijassa-1565	83	37	pairs	pair	NOUN
ijassa-1565	83	38	of	of	ADP
ijassa-1565	83	39	values	value	NOUN
ijassa-1565	83	40	in	in	ADP
ijassa-1565	83	41	a	a	DET
ijassa-1565	83	42	specific	specific	ADJ
ijassa-1565	83	43	image	image	NOUN
ijassa-1565	83	44	fragment	fragment	NOUN
ijassa-1565	83	45	was	be	AUX
ijassa-1565	83	46	introduced	introduce	VERB
ijassa-1565	83	47	.	.	PUNCT
ijassa-1565	84	1	the	the	DET
ijassa-1565	84	2	calculations	calculation	NOUN
ijassa-1565	84	3	of	of	ADP
ijassa-1565	84	4	the	the	DET
ijassa-1565	84	5	element	element	NOUN
ijassa-1565	84	6	of	of	ADP
ijassa-1565	84	7	normalized	normalize	VERB
ijassa-1565	84	8	symmetrical	symmetrical	ADJ
ijassa-1565	84	9	glcm	glcm	NOUN
ijassa-1565	84	10	p(i	p(i	PROPN
ijassa-1565	84	11	,	,	PUNCT
ijassa-1565	84	12	j	j	NOUN
ijassa-1565	84	13	)	)	PUNCT
ijassa-1565	84	14	are	be	AUX
ijassa-1565	84	15	based	base	VERB
ijassa-1565	84	16	on	on	ADP
ijassa-1565	84	17	the	the	DET
ijassa-1565	84	18	analysis	analysis	NOUN
ijassa-1565	84	19	of	of	ADP
ijassa-1565	84	20	quantized	quantize	VERB
ijassa-1565	84	21	levels	level	NOUN
ijassa-1565	84	22	of	of	ADP
ijassa-1565	84	23	brightness	brightness	NOUN
ijassa-1565	84	24	i	i	PRON
ijassa-1565	84	25	p(i	p(i	PROPN
ijassa-1565	84	26	,	,	PUNCT
ijassa-1565	84	27	j	j	NOUN
ijassa-1565	84	28	)	)	PUNCT
ijassa-1565	84	29	=	=	SYM
ijassa-1565	84	30	|{(n	|{(n	PROPN
ijassa-1565	84	31	,	,	PUNCT
ijassa-1565	84	32	m	m	NOUN
ijassa-1565	84	33	)	)	PUNCT
ijassa-1565	84	34	,	,	PUNCT
ijassa-1565	84	35	(	(	PUNCT
ijassa-1565	84	36	k	k	X
ijassa-1565	84	37	,	,	PUNCT
ijassa-1565	84	38	l	l	NOUN
ijassa-1565	84	39	)	)	PUNCT
ijassa-1565	84	40	:	:	PUNCT
ijassa-1565	84	41	i(n	i(n	NUM
ijassa-1565	84	42	,	,	PUNCT
ijassa-1565	84	43	m	m	NOUN
ijassa-1565	84	44	)	)	PUNCT
ijassa-1565	85	1	=	=	SYM
ijassa-1565	85	2	i	i	PROPN
ijassa-1565	85	3	,	,	PUNCT
ijassa-1565	85	4	i(k	i(k	PROPN
ijassa-1565	85	5	,	,	PUNCT
ijassa-1565	85	6	l	l	NOUN
ijassa-1565	85	7	)	)	PUNCT
ijassa-1565	85	8	=	=	SYM
ijassa-1565	85	9	j}|	j}|	PROPN
ijassa-1565	85	10	,	,	PUNCT
ijassa-1565	85	11	(	(	PUNCT
ijassa-1565	85	12	2.6	2.6	NUM
ijassa-1565	85	13	)	)	PUNCT
ijassa-1565	85	14	copyright	copyright	NOUN
ijassa-1565	85	15	©	©	PROPN
ijassa-1565	85	16	2024	2024	NUM
ijassa-1565	85	17	assa	assa	NOUN
ijassa-1565	85	18	.	.	PUNCT
ijassa-1565	86	1	adv	adv	PROPN
ijassa-1565	86	2	syst	syst	PROPN
ijassa-1565	86	3	sci	sci	PROPN
ijassa-1565	86	4	appl	appl	PROPN
ijassa-1565	86	5	(	(	PUNCT
ijassa-1565	86	6	2024	2024	NUM
ijassa-1565	86	7	)	)	PUNCT
ijassa-1565	86	8	24	24	NUM
ijassa-1565	86	9	a.a	a.a	PROPN
ijassa-1565	86	10	.	.	PROPN
ijassa-1565	86	11	galyaev	galyaev	PROPN
ijassa-1565	86	12	,	,	PUNCT
ijassa-1565	86	13	a.v	a.v	PROPN
ijassa-1565	86	14	.	.	PROPN
ijassa-1565	86	15	dobrovidov	dobrovidov	PROPN
ijassa-1565	86	16	,	,	PUNCT
ijassa-1565	86	17	p.v	p.v	PROPN
ijassa-1565	86	18	.	.	PROPN
ijassa-1565	86	19	lysenko	lysenko	PROPN
ijassa-1565	86	20	,	,	PUNCT
ijassa-1565	86	21	l.m	l.m	PROPN
ijassa-1565	86	22	.	.	PROPN
ijassa-1565	86	23	berlin	berlin	PROPN
ijassa-1565	86	24	,	,	PUNCT
ijassa-1565	86	25	m.a	m.a	PROPN
ijassa-1565	86	26	.	.	PROPN
ijassa-1565	86	27	kolygo	kolygo	NOUN
ijassa-1565	86	28	where	where	SCONJ
ijassa-1565	86	29	i(n	i(n	NOUN
ijassa-1565	86	30	,	,	PUNCT
ijassa-1565	86	31	m	m	PRON
ijassa-1565	86	32	)	)	PUNCT
ijassa-1565	86	33	are	be	AUX
ijassa-1565	86	34	the	the	DET
ijassa-1565	86	35	values	value	NOUN
ijassa-1565	86	36	of	of	ADP
ijassa-1565	86	37	the	the	DET
ijassa-1565	86	38	brightness	brightness	NOUN
ijassa-1565	86	39	matrix	matrix	NOUN
ijassa-1565	86	40	elements	element	NOUN
ijassa-1565	86	41	with	with	ADP
ijassa-1565	86	42	coordinates	coordinate	NOUN
ijassa-1565	86	43	(	(	PUNCT
ijassa-1565	86	44	n	n	CCONJ
ijassa-1565	86	45	,	,	PUNCT
ijassa-1565	86	46	m	m	PROPN
ijassa-1565	86	47	)	)	PUNCT
ijassa-1565	86	48	,	,	PUNCT
ijassa-1565	86	49	i	i	PRON
ijassa-1565	86	50	,	,	PUNCT
ijassa-1565	86	51	j	j	PROPN
ijassa-1565	86	52	are	be	AUX
ijassa-1565	86	53	the	the	DET
ijassa-1565	86	54	quantized	quantize	VERB
ijassa-1565	86	55	levels	level	NOUN
ijassa-1565	86	56	of	of	ADP
ijassa-1565	86	57	brightness	brightness	NOUN
ijassa-1565	86	58	(	(	PUNCT
ijassa-1565	86	59	i	i	PROPN
ijassa-1565	86	60	,	,	PUNCT
ijassa-1565	86	61	j	j	PROPN
ijassa-1565	86	62	=	=	SYM
ijassa-1565	86	63	1	1	NUM
ijassa-1565	86	64	,	,	PUNCT
ijassa-1565	86	65	.	.	PUNCT
ijassa-1565	86	66	.	.	PUNCT
ijassa-1565	87	1	.	.	PUNCT
ijassa-1565	88	1	,	,	PUNCT
ijassa-1565	88	2	n	n	X
ijassa-1565	88	3	)	)	PUNCT
ijassa-1565	88	4	,	,	PUNCT
ijassa-1565	88	5	p(i	p(i	PROPN
ijassa-1565	88	6	,	,	PUNCT
ijassa-1565	88	7	j	j	NOUN
ijassa-1565	88	8	)	)	PUNCT
ijassa-1565	88	9	is	be	AUX
ijassa-1565	88	10	the	the	DET
ijassa-1565	88	11	frequency	frequency	NOUN
ijassa-1565	88	12	value	value	NOUN
ijassa-1565	88	13	of	of	ADP
ijassa-1565	88	14	the	the	DET
ijassa-1565	88	15	pair	pair	NOUN
ijassa-1565	88	16	having	have	VERB
ijassa-1565	88	17	index	index	NOUN
ijassa-1565	88	18	(	(	PUNCT
ijassa-1565	88	19	i	i	PROPN
ijassa-1565	88	20	,	,	PUNCT
ijassa-1565	88	21	j	j	PROPN
ijassa-1565	88	22	)	)	PUNCT
ijassa-1565	88	23	.	.	PUNCT
ijassa-1565	89	1	according	accord	VERB
ijassa-1565	89	2	this	this	DET
ijassa-1565	89	3	matrix	matrix	NOUN
ijassa-1565	89	4	statistical	statistical	ADJ
ijassa-1565	89	5	features	feature	NOUN
ijassa-1565	89	6	concerning	concern	VERB
ijassa-1565	89	7	certain	certain	ADJ
ijassa-1565	89	8	texture	texture	NOUN
ijassa-1565	89	9	might	might	AUX
ijassa-1565	89	10	be	be	AUX
ijassa-1565	89	11	calculated	calculate	VERB
ijassa-1565	89	12	.	.	PUNCT
ijassa-1565	90	1	most	most	ADJ
ijassa-1565	90	2	of	of	ADP
ijassa-1565	90	3	these	these	DET
ijassa-1565	90	4	functions	function	NOUN
ijassa-1565	90	5	were	be	AUX
ijassa-1565	90	6	suggested	suggest	VERB
ijassa-1565	90	7	by	by	ADP
ijassa-1565	90	8	haralick	haralick	PROPN
ijassa-1565	90	9	et	et	PROPN
ijassa-1565	90	10	al	al	PROPN
ijassa-1565	90	11	.	.	PUNCT
ijassa-1565	91	1	[	[	X
ijassa-1565	91	2	10	10	NUM
ijassa-1565	91	3	]	]	PUNCT
ijassa-1565	91	4	.	.	PUNCT
ijassa-1565	92	1	table	table	NOUN
ijassa-1565	92	2	2.1	2.1	NUM
ijassa-1565	92	3	contains	contain	VERB
ijassa-1565	92	4	known	know	VERB
ijassa-1565	92	5	popular	popular	ADJ
ijassa-1565	92	6	textural	textural	ADJ
ijassa-1565	92	7	features	feature	NOUN
ijassa-1565	92	8	[	[	X
ijassa-1565	92	9	4,15	4,15	NOUN
ijassa-1565	92	10	]	]	X
ijassa-1565	92	11	as	as	ADV
ijassa-1565	92	12	well	well	ADV
ijassa-1565	92	13	as	as	ADP
ijassa-1565	92	14	two	two	NUM
ijassa-1565	92	15	new	new	ADJ
ijassa-1565	92	16	ones	one	NOUN
ijassa-1565	92	17	,	,	PUNCT
ijassa-1565	92	18	which	which	PRON
ijassa-1565	92	19	are	be	AUX
ijassa-1565	92	20	introduced	introduce	VERB
ijassa-1565	92	21	in	in	ADP
ijassa-1565	92	22	this	this	DET
ijassa-1565	92	23	article	article	NOUN
ijassa-1565	92	24	:	:	PUNCT
ijassa-1565	92	25	so	so	ADV
ijassa-1565	92	26	called	call	VERB
ijassa-1565	92	27	statistical	statistical	ADJ
ijassa-1565	92	28	complexities	complexity	NOUN
ijassa-1565	92	29	csq	csq	NOUN
ijassa-1565	92	30	and	and	CCONJ
ijassa-1565	92	31	ctv	ctv	PROPN
ijassa-1565	92	32	[	[	X
ijassa-1565	92	33	2	2	NUM
ijassa-1565	92	34	,	,	PUNCT
ijassa-1565	92	35	3	3	NUM
ijassa-1565	92	36	,	,	PUNCT
ijassa-1565	92	37	18	18	NUM
ijassa-1565	92	38	]	]	PUNCT
ijassa-1565	92	39	.	.	PUNCT
ijassa-1565	93	1	no	no	INTJ
ijassa-1565	93	2	.	.	PUNCT
ijassa-1565	94	1	textural	textural	ADJ
ijassa-1565	94	2	feature	feature	NOUN
ijassa-1565	94	3	formula	formula	NOUN
ijassa-1565	94	4	1	1	NUM
ijassa-1565	94	5	energy	energy	NOUN
ijassa-1565	94	6	∑	∑	PUNCT
ijassa-1565	94	7	i	i	PROPN
ijassa-1565	94	8	,	,	PUNCT
ijassa-1565	94	9	j	j	PROPN
ijassa-1565	94	10	p(i	p(i	PROPN
ijassa-1565	94	11	,	,	PUNCT
ijassa-1565	94	12	j)2	j)2	PROPN
ijassa-1565	94	13	2	2	NUM
ijassa-1565	94	14	contrast	contrast	VERB
ijassa-1565	94	15	∑	∑	PUNCT
ijassa-1565	94	16	i	i	PROPN
ijassa-1565	94	17	,	,	PUNCT
ijassa-1565	94	18	j	j	PROPN
ijassa-1565	94	19	p(i	p(i	PROPN
ijassa-1565	94	20	,	,	PUNCT
ijassa-1565	94	21	j)(i−	j)(i−	NOUN
ijassa-1565	94	22	j)2	j)2	VERB
ijassa-1565	94	23	3	3	NUM
ijassa-1565	94	24	correlation	correlation	NOUN
ijassa-1565	94	25	∑	∑	PUNCT
ijassa-1565	94	26	i	i	PROPN
ijassa-1565	94	27	,	,	PUNCT
ijassa-1565	94	28	j	j	PROPN
ijassa-1565	94	29	p(i	p(i	PROPN
ijassa-1565	94	30	,	,	PUNCT
ijassa-1565	94	31	j	j	NOUN
ijassa-1565	94	32	)	)	PUNCT
ijassa-1565	94	33	(	(	PUNCT
ijassa-1565	94	34	i−	i−	PROPN
ijassa-1565	94	35	µ)(j	µ)(j	X
ijassa-1565	94	36	−	−	PROPN
ijassa-1565	94	37	µ	µ	X
ijassa-1565	94	38	)	)	PUNCT
ijassa-1565	94	39	σ2	σ2	NOUN
ijassa-1565	94	40	4	4	NUM
ijassa-1565	94	41	inertia	inertia	NOUN
ijassa-1565	94	42	∑	∑	PUNCT
ijassa-1565	94	43	i	i	PROPN
ijassa-1565	94	44	,	,	PUNCT
ijassa-1565	94	45	j	j	PROPN
ijassa-1565	94	46	p(i	p(i	PROPN
ijassa-1565	94	47	,	,	PUNCT
ijassa-1565	94	48	j)(i	j)(i	PROPN
ijassa-1565	94	49	,	,	PUNCT
ijassa-1565	94	50	j)2	j)2	PROPN
ijassa-1565	94	51	5	5	NUM
ijassa-1565	94	52	entropy	entropy	NOUN
ijassa-1565	94	53	−	−	PROPN
ijassa-1565	94	54	∑	∑	PROPN
ijassa-1565	94	55	i	i	PROPN
ijassa-1565	94	56	,	,	PUNCT
ijassa-1565	94	57	j	j	PROPN
ijassa-1565	94	58	p(i	p(i	PROPN
ijassa-1565	94	59	,	,	PUNCT
ijassa-1565	94	60	j	j	PROPN
ijassa-1565	94	61	)	)	PUNCT
ijassa-1565	94	62	log2	log2	PROPN
ijassa-1565	94	63	p(i	p(i	PROPN
ijassa-1565	94	64	,	,	PUNCT
ijassa-1565	94	65	j	j	NOUN
ijassa-1565	94	66	)	)	PUNCT
ijassa-1565	94	67	(	(	PUNCT
ijassa-1565	94	68	0	0	NUM
ijassa-1565	94	69	if	if	SCONJ
ijassa-1565	94	70	p(i	p(i	PROPN
ijassa-1565	94	71	,	,	PUNCT
ijassa-1565	94	72	j	j	NOUN
ijassa-1565	94	73	)	)	PUNCT
ijassa-1565	94	74	=	=	SYM
ijassa-1565	94	75	0	0	NUM
ijassa-1565	94	76	)	)	PUNCT
ijassa-1565	94	77	6	6	NUM
ijassa-1565	94	78	complexity	complexity	NOUN
ijassa-1565	94	79	csq	csq	NOUN
ijassa-1565	94	80	(	(	PUNCT
ijassa-1565	94	81	−	−	PROPN
ijassa-1565	94	82	∑	∑	PROPN
ijassa-1565	94	83	i	i	PROPN
ijassa-1565	94	84	,	,	PUNCT
ijassa-1565	94	85	j	j	PROPN
ijassa-1565	94	86	p(i	p(i	PROPN
ijassa-1565	94	87	,	,	PUNCT
ijassa-1565	94	88	j	j	PROPN
ijassa-1565	94	89	)	)	PUNCT
ijassa-1565	94	90	log2	log2	PROPN
ijassa-1565	94	91	p(i	p(i	PROPN
ijassa-1565	94	92	,	,	PUNCT
ijassa-1565	94	93	j	j	NOUN
ijassa-1565	94	94	)	)	PUNCT
ijassa-1565	94	95	)	)	PUNCT
ijassa-1565	94	96	(	(	PUNCT
ijassa-1565	94	97	∑	∑	PUNCT
ijassa-1565	94	98	i	i	PROPN
ijassa-1565	94	99	,	,	PUNCT
ijassa-1565	94	100	j	j	PROPN
ijassa-1565	94	101	(	(	PUNCT
ijassa-1565	94	102	p(i	p(i	PROPN
ijassa-1565	94	103	,	,	PUNCT
ijassa-1565	94	104	j)−	j)−	PROPN
ijassa-1565	94	105	pw(i	pw(i	PROPN
ijassa-1565	94	106	,	,	PUNCT
ijassa-1565	94	107	j	j	NOUN
ijassa-1565	94	108	)	)	PUNCT
ijassa-1565	94	109	)	)	PUNCT
ijassa-1565	94	110	2	2	NUM
ijassa-1565	94	111	)	)	PUNCT
ijassa-1565	94	112	7	7	NUM
ijassa-1565	94	113	complexity	complexity	NOUN
ijassa-1565	94	114	ctv	ctv	NOUN
ijassa-1565	94	115	(	(	PUNCT
ijassa-1565	94	116	−	−	PROPN
ijassa-1565	94	117	∑	∑	PROPN
ijassa-1565	94	118	i	i	PROPN
ijassa-1565	94	119	,	,	PUNCT
ijassa-1565	94	120	j	j	PROPN
ijassa-1565	94	121	p(i	p(i	PROPN
ijassa-1565	94	122	,	,	PUNCT
ijassa-1565	94	123	j	j	PROPN
ijassa-1565	94	124	)	)	PUNCT
ijassa-1565	94	125	log2	log2	PROPN
ijassa-1565	94	126	p(i	p(i	PROPN
ijassa-1565	94	127	,	,	PUNCT
ijassa-1565	94	128	j	j	NOUN
ijassa-1565	94	129	)	)	PUNCT
ijassa-1565	94	130	)	)	PUNCT
ijassa-1565	95	1	(	(	PUNCT
ijassa-1565	95	2	∑	∑	PUNCT
ijassa-1565	95	3	i	i	PROPN
ijassa-1565	95	4	,	,	PUNCT
ijassa-1565	95	5	j	j	PROPN
ijassa-1565	95	6	|p(i	|p(i	PROPN
ijassa-1565	95	7	,	,	PUNCT
ijassa-1565	95	8	j)−	j)−	PROPN
ijassa-1565	95	9	pw(i	pw(i	NOUN
ijassa-1565	95	10	,	,	PUNCT
ijassa-1565	95	11	j)|	j)|	NOUN
ijassa-1565	95	12	)	)	PUNCT
ijassa-1565	95	13	2	2	NUM
ijassa-1565	95	14	table	table	NOUN
ijassa-1565	95	15	2.1	2.1	NUM
ijassa-1565	95	16	.	.	PUNCT
ijassa-1565	96	1	most	most	ADJ
ijassa-1565	96	2	common	common	ADJ
ijassa-1565	96	3	features	feature	NOUN
ijassa-1565	96	4	used	use	VERB
ijassa-1565	96	5	in	in	ADP
ijassa-1565	96	6	textural	textural	ADJ
ijassa-1565	96	7	image	image	NOUN
ijassa-1565	96	8	analysis	analysis	NOUN
ijassa-1565	96	9	.	.	PUNCT
ijassa-1565	96	10	explanations	explanation	NOUN
ijassa-1565	96	11	for	for	ADP
ijassa-1565	96	12	table	table	NOUN
ijassa-1565	96	13	2.1	2.1	NUM
ijassa-1565	96	14	:	:	PUNCT
ijassa-1565	96	15	pw(i	pw(i	ADV
ijassa-1565	96	16	,	,	PUNCT
ijassa-1565	96	17	j	j	NOUN
ijassa-1565	96	18	)	)	PUNCT
ijassa-1565	96	19	–	–	PUNCT
ijassa-1565	96	20	the	the	DET
ijassa-1565	96	21	normalized	normalize	VERB
ijassa-1565	96	22	glcm	glcm	NOUN
ijassa-1565	96	23	for	for	ADP
ijassa-1565	96	24	the	the	DET
ijassa-1565	96	25	brightness	brightness	NOUN
ijassa-1565	96	26	levels	level	NOUN
ijassa-1565	96	27	matrix	matrix	NOUN
ijassa-1565	96	28	i	i	PRON
ijassa-1565	96	29	distributed	distribute	VERB
ijassa-1565	96	30	according	accord	VERB
ijassa-1565	96	31	to	to	ADP
ijassa-1565	96	32	the	the	DET
ijassa-1565	96	33	normal	normal	ADJ
ijassa-1565	96	34	distribution	distribution	NOUN
ijassa-1565	96	35	for	for	ADP
ijassa-1565	96	36	white	white	ADJ
ijassa-1565	96	37	noise	noise	PROPN
ijassa-1565	96	38	simulation	simulation	NOUN
ijassa-1565	96	39	;	;	PUNCT
ijassa-1565	96	40	µ	µ	X
ijassa-1565	96	41	is	be	AUX
ijassa-1565	96	42	the	the	DET
ijassa-1565	96	43	mean	mean	ADJ
ijassa-1565	96	44	glcm	glcm	NOUN
ijassa-1565	96	45	(	(	PUNCT
ijassa-1565	96	46	which	which	PRON
ijassa-1565	96	47	is	be	AUX
ijassa-1565	96	48	an	an	DET
ijassa-1565	96	49	estimate	estimate	NOUN
ijassa-1565	96	50	of	of	ADP
ijassa-1565	96	51	the	the	DET
ijassa-1565	96	52	intensity	intensity	NOUN
ijassa-1565	96	53	of	of	ADP
ijassa-1565	96	54	all	all	DET
ijassa-1565	96	55	pixels	pixel	NOUN
ijassa-1565	96	56	in	in	ADP
ijassa-1565	96	57	the	the	DET
ijassa-1565	96	58	relationship	relationship	NOUN
ijassa-1565	96	59	that	that	PRON
ijassa-1565	96	60	contributed	contribute	VERB
ijassa-1565	96	61	to	to	ADP
ijassa-1565	96	62	the	the	DET
ijassa-1565	96	63	glcm	glcm	NOUN
ijassa-1565	96	64	)	)	PUNCT
ijassa-1565	96	65	,	,	PUNCT
ijassa-1565	96	66	calculated	calculate	VERB
ijassa-1565	96	67	as	as	ADP
ijassa-1565	96	68	:	:	PUNCT
ijassa-1565	96	69	µ	µ	X
ijassa-1565	96	70	=	=	PUNCT
ijassa-1565	96	71	∑	∑	PUNCT
ijassa-1565	96	72	i	i	PROPN
ijassa-1565	96	73	,	,	PUNCT
ijassa-1565	96	74	j	j	PROPN
ijassa-1565	96	75	ip(i	ip(i	PROPN
ijassa-1565	96	76	,	,	PUNCT
ijassa-1565	96	77	j	j	PROPN
ijassa-1565	96	78	)	)	PUNCT
ijassa-1565	96	79	;	;	PUNCT
ijassa-1565	96	80	σ2	σ2	NOUN
ijassa-1565	96	81	is	be	AUX
ijassa-1565	96	82	the	the	DET
ijassa-1565	96	83	variance	variance	NOUN
ijassa-1565	96	84	of	of	ADP
ijassa-1565	96	85	the	the	DET
ijassa-1565	96	86	intensities	intensity	NOUN
ijassa-1565	96	87	of	of	ADP
ijassa-1565	96	88	all	all	DET
ijassa-1565	96	89	reference	reference	NOUN
ijassa-1565	96	90	pixels	pixel	NOUN
ijassa-1565	96	91	in	in	ADP
ijassa-1565	96	92	the	the	DET
ijassa-1565	96	93	relationship	relationship	NOUN
ijassa-1565	96	94	contributing	contribute	VERB
ijassa-1565	96	95	to	to	ADP
ijassa-1565	96	96	the	the	DET
ijassa-1565	96	97	glcm	glcm	PROPN
ijassa-1565	96	98	is	be	AUX
ijassa-1565	96	99	calculated	calculate	VERB
ijassa-1565	96	100	as	as	ADP
ijassa-1565	96	101	:	:	PUNCT
ijassa-1565	96	102	σ2	σ2	PROPN
ijassa-1565	96	103	=	=	SYM
ijassa-1565	96	104	∑	∑	PUNCT
ijassa-1565	96	105	i	i	PROPN
ijassa-1565	96	106	,	,	PUNCT
ijassa-1565	96	107	j	j	PROPN
ijassa-1565	96	108	p(i	p(i	PROPN
ijassa-1565	96	109	,	,	PUNCT
ijassa-1565	96	110	j)(i−	j)(i−	PROPN
ijassa-1565	96	111	µ)2	µ)2	NOUN
ijassa-1565	96	112	.	.	PUNCT
ijassa-1565	97	1	3	3	X
ijassa-1565	97	2	.	.	X
ijassa-1565	97	3	modelling	modelling	NOUN
ijassa-1565	97	4	and	and	CCONJ
ijassa-1565	97	5	comparison	comparison	NOUN
ijassa-1565	97	6	of	of	ADP
ijassa-1565	97	7	constructed	construct	VERB
ijassa-1565	97	8	methods	method	NOUN
ijassa-1565	97	9	two	two	NUM
ijassa-1565	97	10	methods	method	NOUN
ijassa-1565	97	11	described	describe	VERB
ijassa-1565	97	12	in	in	ADP
ijassa-1565	97	13	article	article	NOUN
ijassa-1565	97	14	are	be	AUX
ijassa-1565	97	15	compared	compare	VERB
ijassa-1565	97	16	for	for	ADP
ijassa-1565	97	17	different	different	ADJ
ijassa-1565	97	18	satellite	satellite	NOUN
ijassa-1565	97	19	image	image	NOUN
ijassa-1565	97	20	examples	example	NOUN
ijassa-1565	97	21	in	in	ADP
ijassa-1565	97	22	this	this	DET
ijassa-1565	97	23	section	section	NOUN
ijassa-1565	97	24	.	.	PUNCT
ijassa-1565	98	1	fast	fast	ADJ
ijassa-1565	98	2	python	python	PROPN
ijassa-1565	98	3	implementation	implementation	NOUN
ijassa-1565	98	4	of	of	ADP
ijassa-1565	98	5	glcm	glcm	PROPN
ijassa-1565	98	6	has	have	AUX
ijassa-1565	98	7	been	be	AUX
ijassa-1565	98	8	used	use	VERB
ijassa-1565	98	9	from	from	ADP
ijassa-1565	98	10	[	[	X
ijassa-1565	98	11	11	11	NUM
ijassa-1565	98	12	]	]	PUNCT
ijassa-1565	98	13	and	and	CCONJ
ijassa-1565	98	14	modified	modify	VERB
ijassa-1565	98	15	for	for	ADP
ijassa-1565	98	16	complexities	complexity	NOUN
ijassa-1565	98	17	functions	function	NOUN
ijassa-1565	98	18	’	'	PUNCT
ijassa-1565	98	19	computation	computation	NOUN
ijassa-1565	98	20	(	(	PUNCT
ijassa-1565	98	21	items	item	NOUN
ijassa-1565	98	22	6	6	NUM
ijassa-1565	98	23	and	and	CCONJ
ijassa-1565	98	24	7	7	NUM
ijassa-1565	98	25	in	in	ADP
ijassa-1565	98	26	table	table	NOUN
ijassa-1565	98	27	2.1	2.1	NUM
ijassa-1565	98	28	)	)	PUNCT
ijassa-1565	98	29	.	.	PUNCT
ijassa-1565	99	1	markov	markov	NOUN
ijassa-1565	99	2	field	field	NOUN
ijassa-1565	99	3	algorithm	algorithm	NOUN
ijassa-1565	99	4	has	have	AUX
ijassa-1565	99	5	been	be	AUX
ijassa-1565	99	6	implemented	implement	VERB
ijassa-1565	99	7	by	by	ADP
ijassa-1565	99	8	authors	author	NOUN
ijassa-1565	99	9	.	.	PUNCT
ijassa-1565	100	1	3.1	3.1	NUM
ijassa-1565	100	2	.	.	PUNCT
ijassa-1565	100	3	satellite	satellite	NOUN
ijassa-1565	100	4	images	image	NOUN
ijassa-1565	100	5	contouring	contour	VERB
ijassa-1565	100	6	the	the	DET
ijassa-1565	100	7	first	first	ADJ
ijassa-1565	100	8	example	example	NOUN
ijassa-1565	100	9	is	be	AUX
ijassa-1565	100	10	devoted	devote	VERB
ijassa-1565	100	11	solely	solely	ADV
ijassa-1565	100	12	to	to	PART
ijassa-1565	100	13	image	image	VERB
ijassa-1565	100	14	contouring	contouring	NOUN
ijassa-1565	100	15	problem	problem	NOUN
ijassa-1565	100	16	itself	itself	PRON
ijassa-1565	100	17	.	.	PUNCT
ijassa-1565	101	1	two	two	NUM
ijassa-1565	101	2	satellite	satellite	NOUN
ijassa-1565	101	3	images	image	NOUN
ijassa-1565	101	4	are	be	AUX
ijassa-1565	101	5	used	use	VERB
ijassa-1565	101	6	.	.	PUNCT
ijassa-1565	102	1	both	both	PRON
ijassa-1565	102	2	are	be	AUX
ijassa-1565	102	3	taken	take	VERB
ijassa-1565	102	4	from	from	ADP
ijassa-1565	102	5	esa	esa	PROPN
ijassa-1565	102	6	”	"	PUNCT
ijassa-1565	102	7	earth	earth	NOUN
ijassa-1565	102	8	from	from	ADP
ijassa-1565	102	9	space	space	NOUN
ijassa-1565	102	10	image	image	NOUN
ijassa-1565	102	11	collection	collection	NOUN
ijassa-1565	102	12	”	"	PUNCT
ijassa-1565	102	13	gallery	gallery	NOUN
ijassa-1565	102	14	:	:	PUNCT
ijassa-1565	102	15	the	the	DET
ijassa-1565	102	16	first	first	ADJ
ijassa-1565	102	17	one	one	NUM
ijassa-1565	102	18	copyright	copyright	NOUN
ijassa-1565	102	19	©	©	ADP
ijassa-1565	102	20	2024	2024	NUM
ijassa-1565	102	21	assa	assa	NOUN
ijassa-1565	102	22	.	.	PUNCT
ijassa-1565	103	1	adv	adv	PROPN
ijassa-1565	103	2	syst	syst	PROPN
ijassa-1565	103	3	sci	sci	PROPN
ijassa-1565	103	4	appl	appl	PROPN
ijassa-1565	103	5	(	(	PUNCT
ijassa-1565	103	6	2024	2024	NUM
ijassa-1565	103	7	)	)	PUNCT
ijassa-1565	103	8	processing	processing	NOUN
ijassa-1565	103	9	of	of	ADP
ijassa-1565	103	10	aerospace	aerospace	NOUN
ijassa-1565	103	11	information	information	NOUN
ijassa-1565	103	12	in	in	ADP
ijassa-1565	103	13	image	image	NOUN
ijassa-1565	103	14	contouring	contouring	NOUN
ijassa-1565	103	15	problem	problem	NOUN
ijassa-1565	103	16	25	25	NUM
ijassa-1565	103	17	is	be	AUX
ijassa-1565	103	18	esa	esa	NOUN
ijassa-1565	103	19	sentinel-2	sentinel-2	ADJ
ijassa-1565	103	20	picture	picture	NOUN
ijassa-1565	103	21	of	of	ADP
ijassa-1565	103	22	faroe	faroe	NOUN
ijassa-1565	103	23	islands	island	NOUN
ijassa-1565	103	24	[	[	X
ijassa-1565	103	25	7	7	NUM
ijassa-1565	103	26	]	]	PUNCT
ijassa-1565	103	27	;	;	PUNCT
ijassa-1565	103	28	the	the	DET
ijassa-1565	103	29	second	second	ADJ
ijassa-1565	103	30	one	one	NOUN
ijassa-1565	103	31	is	be	AUX
ijassa-1565	103	32	esa	esa	PROPN
ijassa-1565	103	33	sentinel-1	sentinel-1	NUM
ijassa-1565	103	34	picture	picture	NOUN
ijassa-1565	103	35	of	of	ADP
ijassa-1565	103	36	lofoten	lofoten	PROPN
ijassa-1565	103	37	archipelago	archipelago	PROPN
ijassa-1565	103	38	in	in	ADP
ijassa-1565	103	39	norway	norway	PROPN
ijassa-1565	103	40	[	[	X
ijassa-1565	103	41	8	8	NUM
ijassa-1565	103	42	]	]	PUNCT
ijassa-1565	103	43	.	.	PUNCT
ijassa-1565	104	1	these	these	DET
ijassa-1565	104	2	pictures	picture	NOUN
ijassa-1565	104	3	have	have	AUX
ijassa-1565	104	4	been	be	AUX
ijassa-1565	104	5	chosen	choose	VERB
ijassa-1565	104	6	due	due	ADP
ijassa-1565	104	7	to	to	ADP
ijassa-1565	104	8	their	their	PRON
ijassa-1565	104	9	extensive	extensive	ADJ
ijassa-1565	104	10	map	map	NOUN
ijassa-1565	104	11	ruggedness	ruggedness	NOUN
ijassa-1565	104	12	and	and	CCONJ
ijassa-1565	104	13	contour	contour	NOUN
ijassa-1565	104	14	line	line	NOUN
ijassa-1565	104	15	complexity	complexity	NOUN
ijassa-1565	104	16	as	as	ADP
ijassa-1565	104	17	a	a	DET
ijassa-1565	104	18	perfect	perfect	ADJ
ijassa-1565	104	19	material	material	NOUN
ijassa-1565	104	20	for	for	ADP
ijassa-1565	104	21	contouring	contour	VERB
ijassa-1565	104	22	algorithms	algorithm	NOUN
ijassa-1565	104	23	validation	validation	NOUN
ijassa-1565	104	24	.	.	PUNCT
ijassa-1565	105	1	two	two	NUM
ijassa-1565	105	2	methods	method	NOUN
ijassa-1565	105	3	of	of	ADP
ijassa-1565	105	4	textural	textural	ADJ
ijassa-1565	105	5	image	image	NOUN
ijassa-1565	105	6	analysis	analysis	NOUN
ijassa-1565	105	7	are	be	AUX
ijassa-1565	105	8	applied	apply	VERB
ijassa-1565	105	9	to	to	ADP
ijassa-1565	105	10	each	each	DET
ijassa-1565	105	11	picture	picture	NOUN
ijassa-1565	105	12	,	,	PUNCT
ijassa-1565	105	13	which	which	PRON
ijassa-1565	105	14	is	be	AUX
ijassa-1565	105	15	illustrated	illustrate	VERB
ijassa-1565	105	16	in	in	ADP
ijassa-1565	105	17	figures	figure	NOUN
ijassa-1565	105	18	3.3	3.3	NUM
ijassa-1565	105	19	and	and	CCONJ
ijassa-1565	105	20	3.4	3.4	NUM
ijassa-1565	105	21	.	.	PUNCT
ijassa-1565	106	1	it	it	PRON
ijassa-1565	106	2	can	can	AUX
ijassa-1565	106	3	be	be	AUX
ijassa-1565	106	4	seen	see	VERB
ijassa-1565	106	5	in	in	ADP
ijassa-1565	106	6	figure	figure	NOUN
ijassa-1565	106	7	3.3	3.3	NUM
ijassa-1565	106	8	that	that	PRON
ijassa-1565	106	9	image	image	NOUN
ijassa-1565	106	10	contouring	contouring	NOUN
ijassa-1565	106	11	problem	problem	NOUN
ijassa-1565	106	12	is	be	AUX
ijassa-1565	106	13	solved	solve	VERB
ijassa-1565	106	14	successfully	successfully	ADV
ijassa-1565	106	15	with	with	ADP
ijassa-1565	106	16	both	both	DET
ijassa-1565	106	17	methods	method	NOUN
ijassa-1565	106	18	in	in	ADP
ijassa-1565	106	19	the	the	DET
ijassa-1565	106	20	first	first	ADJ
ijassa-1565	106	21	example	example	NOUN
ijassa-1565	106	22	.	.	PUNCT
ijassa-1565	107	1	0	0	NUM
ijassa-1565	108	1	200	200	NUM
ijassa-1565	108	2	400	400	NUM
ijassa-1565	108	3	600	600	NUM
ijassa-1565	108	4	800	800	NUM
ijassa-1565	108	5	1000	1000	NUM
ijassa-1565	108	6	0	0	NUM
ijassa-1565	108	7	200	200	NUM
ijassa-1565	108	8	400	400	NUM
ijassa-1565	108	9	600	600	NUM
ijassa-1565	108	10	800	800	NUM
ijassa-1565	108	11	1000	1000	NUM
ijassa-1565	108	12	1200	1200	NUM
ijassa-1565	108	13	(	(	PUNCT
ijassa-1565	108	14	a	a	PRON
ijassa-1565	108	15	)	)	PUNCT
ijassa-1565	108	16	original	original	ADJ
ijassa-1565	108	17	picture	picture	NOUN
ijassa-1565	108	18	.	.	PUNCT
ijassa-1565	108	19	0	0	NUM
ijassa-1565	109	1	200	200	NUM
ijassa-1565	109	2	400	400	NUM
ijassa-1565	109	3	600	600	NUM
ijassa-1565	109	4	800	800	NUM
ijassa-1565	109	5	1000	1000	NUM
ijassa-1565	109	6	0	0	NUM
ijassa-1565	109	7	200	200	NUM
ijassa-1565	109	8	400	400	NUM
ijassa-1565	109	9	600	600	NUM
ijassa-1565	109	10	800	800	NUM
ijassa-1565	109	11	1000	1000	NUM
ijassa-1565	109	12	1200	1200	NUM
ijassa-1565	109	13	(	(	PUNCT
ijassa-1565	109	14	b	b	NOUN
ijassa-1565	109	15	)	)	PUNCT
ijassa-1565	109	16	processed	process	VERB
ijassa-1565	109	17	with	with	ADP
ijassa-1565	109	18	markov	markov	NOUN
ijassa-1565	109	19	field	field	NOUN
ijassa-1565	109	20	algorithm	algorithm	NOUN
ijassa-1565	109	21	picture	picture	NOUN
ijassa-1565	109	22	.	.	PUNCT
ijassa-1565	109	23	0	0	NUM
ijassa-1565	109	24	200	200	NUM
ijassa-1565	109	25	400	400	NUM
ijassa-1565	109	26	600	600	NUM
ijassa-1565	109	27	800	800	NUM
ijassa-1565	109	28	1000	1000	NUM
ijassa-1565	109	29	0	0	NUM
ijassa-1565	109	30	200	200	NUM
ijassa-1565	109	31	400	400	NUM
ijassa-1565	109	32	600	600	NUM
ijassa-1565	109	33	800	800	NUM
ijassa-1565	109	34	1000	1000	NUM
ijassa-1565	109	35	1200	1200	NUM
ijassa-1565	109	36	(	(	PUNCT
ijassa-1565	109	37	c	c	X
ijassa-1565	109	38	)	)	PUNCT
ijassa-1565	109	39	processed	process	VERB
ijassa-1565	109	40	with	with	ADP
ijassa-1565	109	41	glcm	glcm	PROPN
ijassa-1565	109	42	complexity	complexity	NOUN
ijassa-1565	109	43	algorithm	algorithm	NOUN
ijassa-1565	109	44	picture	picture	NOUN
ijassa-1565	109	45	.	.	PUNCT
ijassa-1565	110	1	fig	fig	NOUN
ijassa-1565	110	2	.	.	PUNCT
ijassa-1565	111	1	3.3	3.3	NUM
ijassa-1565	111	2	.	.	PUNCT
ijassa-1565	112	1	the	the	DET
ijassa-1565	112	2	image	image	NOUN
ijassa-1565	112	3	of	of	ADP
ijassa-1565	112	4	faroe	faroe	NOUN
ijassa-1565	112	5	islands	island	NOUN
ijassa-1565	112	6	by	by	ADP
ijassa-1565	112	7	copernicus	copernicus	NOUN
ijassa-1565	112	8	sentinel-2	sentinel-2	NUM
ijassa-1565	112	9	mission	mission	NOUN
ijassa-1565	112	10	.	.	PUNCT
ijassa-1565	113	1	0	0	NUM
ijassa-1565	114	1	500	500	NUM
ijassa-1565	114	2	1000	1000	NUM
ijassa-1565	114	3	1500	1500	NUM
ijassa-1565	114	4	2000	2000	NUM
ijassa-1565	114	5	0	0	NUM
ijassa-1565	114	6	500	500	NUM
ijassa-1565	114	7	1000	1000	NUM
ijassa-1565	114	8	1500	1500	NUM
ijassa-1565	114	9	2000	2000	NUM
ijassa-1565	114	10	2500	2500	NUM
ijassa-1565	114	11	3000	3000	NUM
ijassa-1565	114	12	(	(	PUNCT
ijassa-1565	114	13	a	a	NOUN
ijassa-1565	114	14	)	)	PUNCT
ijassa-1565	114	15	original	original	ADJ
ijassa-1565	114	16	picture	picture	NOUN
ijassa-1565	114	17	.	.	PUNCT
ijassa-1565	114	18	0	0	NUM
ijassa-1565	115	1	500	500	NUM
ijassa-1565	115	2	1000	1000	NUM
ijassa-1565	115	3	1500	1500	NUM
ijassa-1565	115	4	2000	2000	NUM
ijassa-1565	115	5	0	0	NUM
ijassa-1565	115	6	500	500	NUM
ijassa-1565	115	7	1000	1000	NUM
ijassa-1565	115	8	1500	1500	NUM
ijassa-1565	115	9	2000	2000	NUM
ijassa-1565	115	10	2500	2500	NUM
ijassa-1565	115	11	3000	3000	NUM
ijassa-1565	115	12	(	(	PUNCT
ijassa-1565	115	13	b	b	NOUN
ijassa-1565	115	14	)	)	PUNCT
ijassa-1565	115	15	processed	process	VERB
ijassa-1565	115	16	with	with	ADP
ijassa-1565	115	17	markov	markov	NOUN
ijassa-1565	115	18	field	field	NOUN
ijassa-1565	115	19	algorithm	algorithm	NOUN
ijassa-1565	115	20	picture	picture	NOUN
ijassa-1565	115	21	.	.	PUNCT
ijassa-1565	115	22	0	0	NUM
ijassa-1565	116	1	500	500	NUM
ijassa-1565	116	2	1000	1000	NUM
ijassa-1565	116	3	1500	1500	NUM
ijassa-1565	116	4	2000	2000	NUM
ijassa-1565	116	5	0	0	NUM
ijassa-1565	116	6	500	500	NUM
ijassa-1565	116	7	1000	1000	NUM
ijassa-1565	116	8	1500	1500	NUM
ijassa-1565	116	9	2000	2000	NUM
ijassa-1565	116	10	2500	2500	NUM
ijassa-1565	116	11	3000	3000	NUM
ijassa-1565	116	12	(	(	PUNCT
ijassa-1565	116	13	c	c	X
ijassa-1565	116	14	)	)	PUNCT
ijassa-1565	116	15	processed	process	VERB
ijassa-1565	116	16	with	with	ADP
ijassa-1565	116	17	glcm	glcm	PROPN
ijassa-1565	116	18	complexity	complexity	NOUN
ijassa-1565	116	19	algorithm	algorithm	NOUN
ijassa-1565	116	20	picture	picture	NOUN
ijassa-1565	116	21	.	.	PUNCT
ijassa-1565	117	1	fig	fig	NOUN
ijassa-1565	117	2	.	.	PUNCT
ijassa-1565	118	1	3.4	3.4	NUM
ijassa-1565	118	2	.	.	PUNCT
ijassa-1565	119	1	the	the	DET
ijassa-1565	119	2	image	image	NOUN
ijassa-1565	119	3	of	of	ADP
ijassa-1565	119	4	the	the	DET
ijassa-1565	119	5	archipelago	archipelago	NOUN
ijassa-1565	119	6	of	of	ADP
ijassa-1565	119	7	lofoten	lofoten	PROPN
ijassa-1565	119	8	by	by	ADP
ijassa-1565	119	9	copernicus	copernicus	PROPN
ijassa-1565	119	10	sentinel-1	sentinel-1	NUM
ijassa-1565	119	11	mission	mission	NOUN
ijassa-1565	119	12	.	.	PUNCT
ijassa-1565	120	1	copyright	copyright	NOUN
ijassa-1565	120	2	©	©	PROPN
ijassa-1565	120	3	2024	2024	NUM
ijassa-1565	120	4	assa	assa	NOUN
ijassa-1565	120	5	.	.	PUNCT
ijassa-1565	121	1	adv	adv	PROPN
ijassa-1565	121	2	syst	syst	PROPN
ijassa-1565	121	3	sci	sci	PROPN
ijassa-1565	121	4	appl	appl	PROPN
ijassa-1565	121	5	(	(	PUNCT
ijassa-1565	121	6	2024	2024	NUM
ijassa-1565	121	7	)	)	PUNCT
ijassa-1565	121	8	26	26	NUM
ijassa-1565	121	9	a.a	a.a	PROPN
ijassa-1565	121	10	.	.	PROPN
ijassa-1565	121	11	galyaev	galyaev	PROPN
ijassa-1565	121	12	,	,	PUNCT
ijassa-1565	121	13	a.v	a.v	PROPN
ijassa-1565	121	14	.	.	PROPN
ijassa-1565	121	15	dobrovidov	dobrovidov	PROPN
ijassa-1565	121	16	,	,	PUNCT
ijassa-1565	121	17	p.v	p.v	PROPN
ijassa-1565	121	18	.	.	PROPN
ijassa-1565	121	19	lysenko	lysenko	PROPN
ijassa-1565	121	20	,	,	PUNCT
ijassa-1565	121	21	l.m	l.m	PROPN
ijassa-1565	121	22	.	.	PROPN
ijassa-1565	121	23	berlin	berlin	PROPN
ijassa-1565	121	24	,	,	PUNCT
ijassa-1565	121	25	m.a	m.a	PROPN
ijassa-1565	121	26	.	.	PROPN
ijassa-1565	121	27	kolygo	kolygo	NOUN
ijassa-1565	121	28	figure	figure	VERB
ijassa-1565	121	29	3.4	3.4	NUM
ijassa-1565	121	30	contains	contain	VERB
ijassa-1565	121	31	a	a	DET
ijassa-1565	121	32	much	much	ADV
ijassa-1565	121	33	more	more	ADV
ijassa-1565	121	34	difficult	difficult	ADJ
ijassa-1565	121	35	image	image	NOUN
ijassa-1565	121	36	due	due	ADP
ijassa-1565	121	37	to	to	ADP
ijassa-1565	121	38	windy	windy	PROPN
ijassa-1565	121	39	sea	sea	NOUN
ijassa-1565	121	40	surface	surface	NOUN
ijassa-1565	121	41	.	.	PUNCT
ijassa-1565	122	1	it	it	PRON
ijassa-1565	122	2	can	can	AUX
ijassa-1565	122	3	be	be	AUX
ijassa-1565	122	4	seen	see	VERB
ijassa-1565	122	5	that	that	SCONJ
ijassa-1565	122	6	glcm	glcm	PROPN
ijassa-1565	122	7	complexity	complexity	NOUN
ijassa-1565	122	8	approach	approach	NOUN
ijassa-1565	122	9	performs	perform	VERB
ijassa-1565	122	10	better	well	ADJ
ijassa-1565	122	11	than	than	ADP
ijassa-1565	122	12	markov	markov	NOUN
ijassa-1565	122	13	field	field	NOUN
ijassa-1565	122	14	method	method	NOUN
ijassa-1565	122	15	,	,	PUNCT
ijassa-1565	122	16	denoising	denoise	VERB
ijassa-1565	122	17	slightly	slightly	ADV
ijassa-1565	122	18	more	more	ADJ
ijassa-1565	122	19	of	of	ADP
ijassa-1565	122	20	clouds	cloud	NOUN
ijassa-1565	122	21	and	and	CCONJ
ijassa-1565	122	22	sea	sea	NOUN
ijassa-1565	122	23	surface	surface	NOUN
ijassa-1565	122	24	.	.	PUNCT
ijassa-1565	123	1	3.2	3.2	NUM
ijassa-1565	123	2	.	.	PUNCT
ijassa-1565	124	1	ship	ship	NOUN
ijassa-1565	124	2	detection	detection	PROPN
ijassa-1565	124	3	second	second	ADJ
ijassa-1565	124	4	example	example	NOUN
ijassa-1565	124	5	studies	study	NOUN
ijassa-1565	124	6	a	a	DET
ijassa-1565	124	7	more	more	ADV
ijassa-1565	124	8	practical	practical	ADJ
ijassa-1565	124	9	problem	problem	NOUN
ijassa-1565	124	10	of	of	ADP
ijassa-1565	124	11	object	object	NOUN
ijassa-1565	124	12	detection	detection	NOUN
ijassa-1565	124	13	on	on	ADP
ijassa-1565	124	14	satellite	satellite	NOUN
ijassa-1565	124	15	images	image	NOUN
ijassa-1565	124	16	.	.	PUNCT
ijassa-1565	125	1	the	the	DET
ijassa-1565	125	2	first	first	ADJ
ijassa-1565	125	3	and	and	CCONJ
ijassa-1565	125	4	second	second	ADJ
ijassa-1565	125	5	picture	picture	NOUN
ijassa-1565	125	6	is	be	AUX
ijassa-1565	125	7	taken	take	VERB
ijassa-1565	125	8	from	from	ADP
ijassa-1565	125	9	[	[	X
ijassa-1565	125	10	17	17	NUM
ijassa-1565	125	11	]	]	PUNCT
ijassa-1565	125	12	for	for	ADP
ijassa-1565	125	13	research	research	NOUN
ijassa-1565	125	14	purposes	purpose	NOUN
ijassa-1565	125	15	.	.	PUNCT
ijassa-1565	126	1	figure	figure	NOUN
ijassa-1565	126	2	3.5	3.5	NUM
ijassa-1565	126	3	demonstrates	demonstrate	VERB
ijassa-1565	126	4	the	the	DET
ijassa-1565	126	5	image	image	NOUN
ijassa-1565	126	6	of	of	ADP
ijassa-1565	126	7	many	many	ADJ
ijassa-1565	126	8	anchored	anchor	VERB
ijassa-1565	126	9	static	static	ADJ
ijassa-1565	126	10	ships	ship	NOUN
ijassa-1565	126	11	.	.	PUNCT
ijassa-1565	127	1	as	as	SCONJ
ijassa-1565	127	2	one	one	PRON
ijassa-1565	127	3	can	can	AUX
ijassa-1565	127	4	see	see	VERB
ijassa-1565	127	5	,	,	PUNCT
ijassa-1565	127	6	both	both	DET
ijassa-1565	127	7	algorithms	algorithm	NOUN
ijassa-1565	127	8	perform	perform	VERB
ijassa-1565	127	9	satisfactorily	satisfactorily	ADV
ijassa-1565	127	10	in	in	ADP
ijassa-1565	127	11	this	this	DET
ijassa-1565	127	12	example	example	NOUN
ijassa-1565	127	13	,	,	PUNCT
ijassa-1565	127	14	although	although	SCONJ
ijassa-1565	127	15	markov	markov	NOUN
ijassa-1565	127	16	field	field	NOUN
ijassa-1565	127	17	algorithm	algorithm	NOUN
ijassa-1565	127	18	loses	lose	VERB
ijassa-1565	127	19	a	a	DET
ijassa-1565	127	20	little	little	ADJ
ijassa-1565	127	21	more	more	ADJ
ijassa-1565	127	22	pixels	pixel	NOUN
ijassa-1565	127	23	of	of	ADP
ijassa-1565	127	24	ships	ship	NOUN
ijassa-1565	127	25	.	.	PUNCT
ijassa-1565	128	1	0	0	NUM
ijassa-1565	128	2	200	200	NUM
ijassa-1565	128	3	400	400	NUM
ijassa-1565	128	4	600	600	NUM
ijassa-1565	128	5	800	800	NUM
ijassa-1565	128	6	1000	1000	NUM
ijassa-1565	128	7	0	0	NUM
ijassa-1565	128	8	200	200	NUM
ijassa-1565	128	9	400	400	NUM
ijassa-1565	128	10	600	600	NUM
ijassa-1565	128	11	800	800	NUM
ijassa-1565	128	12	1000	1000	NUM
ijassa-1565	128	13	(	(	PUNCT
ijassa-1565	128	14	a	a	NOUN
ijassa-1565	128	15	)	)	PUNCT
ijassa-1565	128	16	original	original	ADJ
ijassa-1565	128	17	picture	picture	NOUN
ijassa-1565	128	18	.	.	PUNCT
ijassa-1565	129	1	0	0	NUM
ijassa-1565	130	1	200	200	NUM
ijassa-1565	130	2	400	400	NUM
ijassa-1565	130	3	600	600	NUM
ijassa-1565	130	4	800	800	NUM
ijassa-1565	130	5	1000	1000	NUM
ijassa-1565	130	6	0	0	NUM
ijassa-1565	130	7	200	200	NUM
ijassa-1565	130	8	400	400	NUM
ijassa-1565	130	9	600	600	NUM
ijassa-1565	130	10	800	800	NUM
ijassa-1565	130	11	1000	1000	NUM
ijassa-1565	130	12	(	(	PUNCT
ijassa-1565	130	13	b	b	NOUN
ijassa-1565	130	14	)	)	PUNCT
ijassa-1565	130	15	processed	process	VERB
ijassa-1565	130	16	with	with	ADP
ijassa-1565	130	17	markov	markov	NOUN
ijassa-1565	130	18	field	field	NOUN
ijassa-1565	130	19	algorithm	algorithm	NOUN
ijassa-1565	130	20	picture	picture	NOUN
ijassa-1565	130	21	.	.	PUNCT
ijassa-1565	130	22	0	0	NUM
ijassa-1565	130	23	200	200	NUM
ijassa-1565	130	24	400	400	NUM
ijassa-1565	130	25	600	600	NUM
ijassa-1565	130	26	800	800	NUM
ijassa-1565	130	27	1000	1000	NUM
ijassa-1565	130	28	0	0	NUM
ijassa-1565	130	29	200	200	NUM
ijassa-1565	130	30	400	400	NUM
ijassa-1565	130	31	600	600	NUM
ijassa-1565	130	32	800	800	NUM
ijassa-1565	130	33	1000	1000	NUM
ijassa-1565	130	34	(	(	PUNCT
ijassa-1565	130	35	c	c	NOUN
ijassa-1565	130	36	)	)	PUNCT
ijassa-1565	130	37	processed	process	VERB
ijassa-1565	130	38	with	with	ADP
ijassa-1565	130	39	glcm	glcm	PROPN
ijassa-1565	130	40	complexity	complexity	NOUN
ijassa-1565	130	41	algorithm	algorithm	NOUN
ijassa-1565	130	42	picture	picture	NOUN
ijassa-1565	130	43	.	.	PUNCT
ijassa-1565	131	1	fig	fig	NOUN
ijassa-1565	131	2	.	.	PUNCT
ijassa-1565	132	1	3.5	3.5	NUM
ijassa-1565	132	2	.	.	PUNCT
ijassa-1565	132	3	anchored	anchor	VERB
ijassa-1565	132	4	cargo	cargo	NOUN
ijassa-1565	132	5	ships	ship	NOUN
ijassa-1565	132	6	from	from	ADP
ijassa-1565	132	7	[	[	X
ijassa-1565	132	8	17	17	NUM
ijassa-1565	132	9	]	]	PUNCT
ijassa-1565	132	10	.	.	PUNCT
ijassa-1565	133	1	figure	figure	VERB
ijassa-1565	133	2	3.6	3.6	NUM
ijassa-1565	133	3	explores	explore	NOUN
ijassa-1565	133	4	a	a	DET
ijassa-1565	133	5	more	more	ADV
ijassa-1565	133	6	challenging	challenging	ADJ
ijassa-1565	133	7	case	case	NOUN
ijassa-1565	133	8	of	of	ADP
ijassa-1565	133	9	moving	move	VERB
ijassa-1565	133	10	ship	ship	NOUN
ijassa-1565	133	11	.	.	PUNCT
ijassa-1565	134	1	in	in	ADP
ijassa-1565	134	2	this	this	DET
ijassa-1565	134	3	situation	situation	NOUN
ijassa-1565	134	4	there	there	PRON
ijassa-1565	134	5	can	can	AUX
ijassa-1565	134	6	be	be	AUX
ijassa-1565	134	7	also	also	ADV
ijassa-1565	134	8	a	a	DET
ijassa-1565	134	9	problem	problem	NOUN
ijassa-1565	134	10	of	of	ADP
ijassa-1565	134	11	ship	ship	NOUN
ijassa-1565	134	12	wake	wake	VERB
ijassa-1565	134	13	detection	detection	NOUN
ijassa-1565	134	14	as	as	SCONJ
ijassa-1565	134	15	studied	study	VERB
ijassa-1565	134	16	in	in	ADP
ijassa-1565	134	17	[	[	X
ijassa-1565	134	18	24	24	NUM
ijassa-1565	134	19	]	]	PUNCT
ijassa-1565	134	20	.	.	PUNCT
ijassa-1565	135	1	as	as	SCONJ
ijassa-1565	135	2	one	one	PRON
ijassa-1565	135	3	can	can	AUX
ijassa-1565	135	4	see	see	VERB
ijassa-1565	135	5	from	from	ADP
ijassa-1565	135	6	figures	figure	NOUN
ijassa-1565	135	7	3.6b	3.6b	PROPN
ijassa-1565	135	8	and	and	CCONJ
ijassa-1565	135	9	3.6c	3.6c	NUM
ijassa-1565	135	10	,	,	PUNCT
ijassa-1565	135	11	both	both	DET
ijassa-1565	135	12	algorithms	algorithm	NOUN
ijassa-1565	135	13	successfully	successfully	ADV
ijassa-1565	135	14	detect	detect	VERB
ijassa-1565	135	15	a	a	DET
ijassa-1565	135	16	moving	move	VERB
ijassa-1565	135	17	object	object	NOUN
ijassa-1565	135	18	but	but	CCONJ
ijassa-1565	135	19	second	second	ADJ
ijassa-1565	135	20	one	one	NOUN
ijassa-1565	135	21	allows	allow	VERB
ijassa-1565	135	22	also	also	ADV
ijassa-1565	135	23	to	to	PART
ijassa-1565	135	24	detect	detect	VERB
ijassa-1565	135	25	a	a	DET
ijassa-1565	135	26	wake	wake	NOUN
ijassa-1565	135	27	of	of	ADP
ijassa-1565	135	28	the	the	DET
ijassa-1565	135	29	ship	ship	NOUN
ijassa-1565	135	30	,	,	PUNCT
ijassa-1565	135	31	which	which	PRON
ijassa-1565	135	32	can	can	AUX
ijassa-1565	135	33	be	be	AUX
ijassa-1565	135	34	useful	useful	ADJ
ijassa-1565	135	35	in	in	ADP
ijassa-1565	135	36	different	different	ADJ
ijassa-1565	135	37	applications	application	NOUN
ijassa-1565	135	38	.	.	PUNCT
ijassa-1565	136	1	0	0	NUM
ijassa-1565	137	1	200	200	NUM
ijassa-1565	137	2	400	400	NUM
ijassa-1565	137	3	600	600	NUM
ijassa-1565	137	4	800	800	NUM
ijassa-1565	137	5	1000	1000	NUM
ijassa-1565	137	6	0	0	NUM
ijassa-1565	137	7	200	200	NUM
ijassa-1565	137	8	400	400	NUM
ijassa-1565	137	9	600	600	NUM
ijassa-1565	137	10	800	800	NUM
ijassa-1565	137	11	1000	1000	NUM
ijassa-1565	137	12	(	(	PUNCT
ijassa-1565	137	13	a	a	NOUN
ijassa-1565	137	14	)	)	PUNCT
ijassa-1565	137	15	original	original	ADJ
ijassa-1565	137	16	picture	picture	NOUN
ijassa-1565	137	17	.	.	PUNCT
ijassa-1565	137	18	0	0	NUM
ijassa-1565	138	1	200	200	NUM
ijassa-1565	138	2	400	400	NUM
ijassa-1565	138	3	600	600	NUM
ijassa-1565	138	4	800	800	NUM
ijassa-1565	138	5	1000	1000	NUM
ijassa-1565	138	6	0	0	NUM
ijassa-1565	138	7	200	200	NUM
ijassa-1565	138	8	400	400	NUM
ijassa-1565	138	9	600	600	NUM
ijassa-1565	138	10	800	800	NUM
ijassa-1565	138	11	1000	1000	NUM
ijassa-1565	138	12	(	(	PUNCT
ijassa-1565	138	13	b	b	NOUN
ijassa-1565	138	14	)	)	PUNCT
ijassa-1565	138	15	processed	process	VERB
ijassa-1565	138	16	with	with	ADP
ijassa-1565	138	17	markov	markov	NOUN
ijassa-1565	138	18	field	field	NOUN
ijassa-1565	138	19	algorithm	algorithm	NOUN
ijassa-1565	138	20	picture	picture	NOUN
ijassa-1565	138	21	.	.	PUNCT
ijassa-1565	138	22	0	0	NUM
ijassa-1565	138	23	200	200	NUM
ijassa-1565	138	24	400	400	NUM
ijassa-1565	138	25	600	600	NUM
ijassa-1565	138	26	800	800	NUM
ijassa-1565	138	27	1000	1000	NUM
ijassa-1565	138	28	0	0	NUM
ijassa-1565	138	29	200	200	NUM
ijassa-1565	138	30	400	400	NUM
ijassa-1565	138	31	600	600	NUM
ijassa-1565	138	32	800	800	NUM
ijassa-1565	138	33	1000	1000	NUM
ijassa-1565	138	34	(	(	PUNCT
ijassa-1565	138	35	c	c	NOUN
ijassa-1565	138	36	)	)	PUNCT
ijassa-1565	138	37	processed	process	VERB
ijassa-1565	138	38	with	with	ADP
ijassa-1565	138	39	glcm	glcm	PROPN
ijassa-1565	138	40	complexity	complexity	NOUN
ijassa-1565	138	41	algorithm	algorithm	NOUN
ijassa-1565	138	42	picture	picture	NOUN
ijassa-1565	138	43	.	.	PUNCT
ijassa-1565	139	1	fig	fig	NOUN
ijassa-1565	139	2	.	.	PUNCT
ijassa-1565	140	1	3.6	3.6	NUM
ijassa-1565	140	2	.	.	PUNCT
ijassa-1565	141	1	the	the	DET
ijassa-1565	141	2	internal	internal	ADJ
ijassa-1565	141	3	waves	wave	NOUN
ijassa-1565	141	4	generated	generate	VERB
ijassa-1565	141	5	by	by	ADP
ijassa-1565	141	6	a	a	DET
ijassa-1565	141	7	cargo	cargo	NOUN
ijassa-1565	141	8	ship	ship	NOUN
ijassa-1565	141	9	in	in	ADP
ijassa-1565	141	10	the	the	DET
ijassa-1565	141	11	pearl	pearl	NOUN
ijassa-1565	141	12	river	river	PROPN
ijassa-1565	141	13	estuary	estuary	NOUN
ijassa-1565	141	14	in	in	ADP
ijassa-1565	141	15	china	china	PROPN
ijassa-1565	141	16	from	from	ADP
ijassa-1565	141	17	[	[	X
ijassa-1565	141	18	17	17	NUM
ijassa-1565	141	19	]	]	PUNCT
ijassa-1565	141	20	.	.	PUNCT
ijassa-1565	142	1	copyright	copyright	NOUN
ijassa-1565	142	2	©	©	PROPN
ijassa-1565	142	3	2024	2024	NUM
ijassa-1565	142	4	assa	assa	NOUN
ijassa-1565	142	5	.	.	PUNCT
ijassa-1565	143	1	adv	adv	PROPN
ijassa-1565	143	2	syst	syst	PROPN
ijassa-1565	143	3	sci	sci	PROPN
ijassa-1565	143	4	appl	appl	PROPN
ijassa-1565	143	5	(	(	PUNCT
ijassa-1565	143	6	2024	2024	NUM
ijassa-1565	143	7	)	)	PUNCT
ijassa-1565	143	8	processing	processing	NOUN
ijassa-1565	143	9	of	of	ADP
ijassa-1565	143	10	aerospace	aerospace	NOUN
ijassa-1565	143	11	information	information	NOUN
ijassa-1565	143	12	in	in	ADP
ijassa-1565	143	13	image	image	NOUN
ijassa-1565	143	14	contouring	contouring	NOUN
ijassa-1565	143	15	problem	problem	NOUN
ijassa-1565	143	16	27	27	NUM
ijassa-1565	143	17	4	4	NUM
ijassa-1565	143	18	.	.	PUNCT
ijassa-1565	143	19	conclusion	conclusion	NOUN
ijassa-1565	143	20	the	the	DET
ijassa-1565	143	21	article	article	NOUN
ijassa-1565	143	22	proposes	propose	VERB
ijassa-1565	143	23	a	a	DET
ijassa-1565	143	24	solution	solution	NOUN
ijassa-1565	143	25	to	to	ADP
ijassa-1565	143	26	the	the	DET
ijassa-1565	143	27	problem	problem	NOUN
ijassa-1565	143	28	of	of	ADP
ijassa-1565	143	29	segmentation	segmentation	NOUN
ijassa-1565	143	30	of	of	ADP
ijassa-1565	143	31	real	real	ADJ
ijassa-1565	143	32	satellite	satellite	NOUN
ijassa-1565	143	33	images	image	NOUN
ijassa-1565	143	34	based	base	VERB
ijassa-1565	143	35	on	on	ADP
ijassa-1565	143	36	random	random	ADJ
ijassa-1565	143	37	markov	markov	NOUN
ijassa-1565	143	38	vector	vector	NOUN
ijassa-1565	143	39	fields	field	NOUN
ijassa-1565	143	40	and	and	CCONJ
ijassa-1565	143	41	on	on	ADP
ijassa-1565	143	42	the	the	DET
ijassa-1565	143	43	basis	basis	NOUN
ijassa-1565	143	44	of	of	ADP
ijassa-1565	143	45	new	new	ADJ
ijassa-1565	143	46	textural	textural	ADJ
ijassa-1565	143	47	features	feature	NOUN
ijassa-1565	143	48	.	.	PUNCT
ijassa-1565	144	1	the	the	DET
ijassa-1565	144	2	authors	author	NOUN
ijassa-1565	144	3	propose	propose	VERB
ijassa-1565	144	4	to	to	PART
ijassa-1565	144	5	use	use	VERB
ijassa-1565	144	6	two	two	NUM
ijassa-1565	144	7	types	type	NOUN
ijassa-1565	144	8	of	of	ADP
ijassa-1565	144	9	statistical	statistical	ADJ
ijassa-1565	144	10	complexity	complexity	NOUN
ijassa-1565	144	11	that	that	PRON
ijassa-1565	144	12	distinguish	distinguish	VERB
ijassa-1565	144	13	deterministic	deterministic	ADJ
ijassa-1565	144	14	structures	structure	NOUN
ijassa-1565	144	15	well	well	ADV
ijassa-1565	144	16	on	on	ADP
ijassa-1565	144	17	naturally	naturally	ADV
ijassa-1565	144	18	or	or	CCONJ
ijassa-1565	144	19	artificially	artificially	ADV
ijassa-1565	144	20	noised	noised	ADJ
ijassa-1565	144	21	images	image	NOUN
ijassa-1565	144	22	.	.	PUNCT
ijassa-1565	145	1	on	on	ADP
ijassa-1565	145	2	the	the	DET
ijassa-1565	145	3	example	example	NOUN
ijassa-1565	145	4	of	of	ADP
ijassa-1565	145	5	several	several	ADJ
ijassa-1565	145	6	satellite	satellite	NOUN
ijassa-1565	145	7	images	image	NOUN
ijassa-1565	145	8	the	the	DET
ijassa-1565	145	9	two	two	NUM
ijassa-1565	145	10	presented	present	VERB
ijassa-1565	145	11	methods	method	NOUN
ijassa-1565	145	12	are	be	AUX
ijassa-1565	145	13	compared	compare	VERB
ijassa-1565	145	14	and	and	CCONJ
ijassa-1565	145	15	conclusions	conclusion	NOUN
ijassa-1565	145	16	are	be	AUX
ijassa-1565	145	17	drawn	draw	VERB
ijassa-1565	145	18	about	about	ADP
ijassa-1565	145	19	their	their	PRON
ijassa-1565	145	20	applicability	applicability	NOUN
ijassa-1565	145	21	depending	depend	VERB
ijassa-1565	145	22	on	on	ADP
ijassa-1565	145	23	the	the	DET
ijassa-1565	145	24	imaging	imaging	NOUN
ijassa-1565	145	25	conditions	condition	NOUN
ijassa-1565	145	26	and	and	CCONJ
ijassa-1565	145	27	complexity	complexity	NOUN
ijassa-1565	145	28	of	of	ADP
ijassa-1565	145	29	the	the	DET
ijassa-1565	145	30	depicted	depict	VERB
ijassa-1565	145	31	scene	scene	NOUN
ijassa-1565	145	32	as	as	ADV
ijassa-1565	145	33	well	well	ADV
ijassa-1565	145	34	as	as	ADP
ijassa-1565	145	35	the	the	DET
ijassa-1565	145	36	prospects	prospect	NOUN
ijassa-1565	145	37	of	of	ADP
ijassa-1565	145	38	their	their	PRON
ijassa-1565	145	39	use	use	NOUN
ijassa-1565	145	40	in	in	ADP
ijassa-1565	145	41	automatic	automatic	ADJ
ijassa-1565	145	42	image	image	NOUN
ijassa-1565	145	43	processing	processing	NOUN
ijassa-1565	145	44	are	be	AUX
ijassa-1565	145	45	discussed	discuss	VERB
ijassa-1565	145	46	.	.	PUNCT
ijassa-1565	146	1	future	future	ADJ
ijassa-1565	146	2	work	work	NOUN
ijassa-1565	146	3	can	can	AUX
ijassa-1565	146	4	be	be	AUX
ijassa-1565	146	5	devoted	devote	VERB
ijassa-1565	146	6	to	to	ADP
ijassa-1565	146	7	implementation	implementation	NOUN
ijassa-1565	146	8	of	of	ADP
ijassa-1565	146	9	classification	classification	NOUN
ijassa-1565	146	10	algorithms	algorithm	NOUN
ijassa-1565	146	11	based	base	VERB
ijassa-1565	146	12	on	on	ADP
ijassa-1565	146	13	textural	textural	ADJ
ijassa-1565	146	14	features	feature	NOUN
ijassa-1565	146	15	introduced	introduce	VERB
ijassa-1565	146	16	above	above	ADV
ijassa-1565	146	17	.	.	PUNCT
ijassa-1565	147	1	acknowledgements	acknowledgement	NOUN
ijassa-1565	147	2	the	the	DET
ijassa-1565	147	3	work	work	NOUN
ijassa-1565	147	4	was	be	AUX
ijassa-1565	147	5	supported	support	VERB
ijassa-1565	147	6	by	by	ADP
ijassa-1565	147	7	the	the	DET
ijassa-1565	147	8	russian	russian	PROPN
ijassa-1565	147	9	science	science	PROPN
ijassa-1565	147	10	foundation	foundation	PROPN
ijassa-1565	147	11	under	under	ADP
ijassa-1565	147	12	grant	grant	VERB
ijassa-1565	147	13	no	no	DET
ijassa-1565	147	14	23	23	NUM
ijassa-1565	147	15	-	-	SYM
ijassa-1565	147	16	19	19	NUM
ijassa-1565	147	17	-	-	PUNCT
ijassa-1565	147	18	00134	00134	NUM
ijassa-1565	147	19	.	.	PUNCT
ijassa-1565	148	1	references	reference	NOUN
ijassa-1565	148	2	1	1	NUM
ijassa-1565	148	3	.	.	PUNCT
ijassa-1565	149	1	benecki	benecki	ADJ
ijassa-1565	149	2	,	,	PUNCT
ijassa-1565	149	3	p.	p.	NOUN
ijassa-1565	149	4	,	,	PUNCT
ijassa-1565	149	5	kawulok	kawulok	PROPN
ijassa-1565	149	6	,	,	PUNCT
ijassa-1565	149	7	m.	m.	NOUN
ijassa-1565	149	8	,	,	PUNCT
ijassa-1565	149	9	kostrzewa	kostrzewa	PROPN
ijassa-1565	149	10	,	,	PUNCT
ijassa-1565	149	11	d.	d.	PROPN
ijassa-1565	149	12	&	&	CCONJ
ijassa-1565	149	13	skonieczny	skonieczny	PROPN
ijassa-1565	149	14	,	,	PUNCT
ijassa-1565	149	15	l.	l.	PROPN
ijassa-1565	149	16	(	(	PUNCT
ijassa-1565	149	17	2018	2018	NUM
ijassa-1565	149	18	)	)	PUNCT
ijassa-1565	149	19	evaluating	evaluate	VERB
ijassa-1565	149	20	superresolution	superresolution	NOUN
ijassa-1565	149	21	reconstruction	reconstruction	NOUN
ijassa-1565	149	22	of	of	ADP
ijassa-1565	149	23	satellite	satellite	NOUN
ijassa-1565	149	24	images	image	NOUN
ijassa-1565	149	25	,	,	PUNCT
ijassa-1565	149	26	acta	acta	PROPN
ijassa-1565	149	27	astronautica	astronautica	PROPN
ijassa-1565	149	28	,	,	PUNCT
ijassa-1565	149	29	153	153	NUM
ijassa-1565	149	30	,	,	PUNCT
ijassa-1565	149	31	15–25	15–25	NUM
ijassa-1565	149	32	.	.	NOUN
ijassa-1565	150	1	2	2	NUM
ijassa-1565	150	2	.	.	X
ijassa-1565	150	3	berlin	berlin	PROPN
ijassa-1565	150	4	,	,	PUNCT
ijassa-1565	150	5	l.	l.	PROPN
ijassa-1565	150	6	,	,	PUNCT
ijassa-1565	150	7	galyaev	galyaev	PROPN
ijassa-1565	150	8	,	,	PUNCT
ijassa-1565	150	9	a.	a.	PROPN
ijassa-1565	150	10	&	&	CCONJ
ijassa-1565	150	11	lysenko	lysenko	PROPN
ijassa-1565	150	12	,	,	PUNCT
ijassa-1565	150	13	p.	p.	NOUN
ijassa-1565	150	14	(	(	PUNCT
ijassa-1565	150	15	2023	2023	NUM
ijassa-1565	150	16	)	)	PUNCT
ijassa-1565	150	17	comparison	comparison	NOUN
ijassa-1565	150	18	of	of	ADP
ijassa-1565	150	19	information	information	NOUN
ijassa-1565	150	20	criteria	criterion	NOUN
ijassa-1565	150	21	for	for	ADP
ijassa-1565	150	22	detection	detection	NOUN
ijassa-1565	150	23	of	of	ADP
ijassa-1565	150	24	useful	useful	ADJ
ijassa-1565	150	25	signals	signal	NOUN
ijassa-1565	150	26	in	in	ADP
ijassa-1565	150	27	noisy	noisy	ADJ
ijassa-1565	150	28	environments	environment	NOUN
ijassa-1565	150	29	,	,	PUNCT
ijassa-1565	150	30	sensors	sensor	NOUN
ijassa-1565	150	31	,	,	PUNCT
ijassa-1565	150	32	23(4	23(4	NOUN
ijassa-1565	150	33	)	)	PUNCT
ijassa-1565	150	34	.	.	PUNCT
ijassa-1565	151	1	3	3	X
ijassa-1565	151	2	.	.	X
ijassa-1565	151	3	berlin	berlin	PROPN
ijassa-1565	151	4	,	,	PUNCT
ijassa-1565	151	5	l.	l.	PROPN
ijassa-1565	151	6	,	,	PUNCT
ijassa-1565	151	7	galyaev	galyaev	PROPN
ijassa-1565	151	8	,	,	PUNCT
ijassa-1565	151	9	a.	a.	PROPN
ijassa-1565	151	10	&	&	CCONJ
ijassa-1565	151	11	lysenko	lysenko	PROPN
ijassa-1565	151	12	,	,	PUNCT
ijassa-1565	151	13	p.	p.	NOUN
ijassa-1565	151	14	(	(	PUNCT
ijassa-1565	151	15	2023	2023	NUM
ijassa-1565	151	16	)	)	PUNCT
ijassa-1565	151	17	statistical	statistical	ADJ
ijassa-1565	151	18	complexity	complexity	NOUN
ijassa-1565	151	19	as	as	ADP
ijassa-1565	151	20	a	a	DET
ijassa-1565	151	21	criterion	criterion	NOUN
ijassa-1565	151	22	for	for	ADP
ijassa-1565	151	23	the	the	DET
ijassa-1565	151	24	useful	useful	ADJ
ijassa-1565	151	25	signal	signal	NOUN
ijassa-1565	151	26	detection	detection	NOUN
ijassa-1565	151	27	problem	problem	NOUN
ijassa-1565	151	28	,	,	PUNCT
ijassa-1565	151	29	automation	automation	NOUN
ijassa-1565	151	30	and	and	CCONJ
ijassa-1565	151	31	remote	remote	ADJ
ijassa-1565	151	32	control	control	NOUN
ijassa-1565	151	33	,	,	PUNCT
ijassa-1565	151	34	84(7	84(7	NUM
ijassa-1565	151	35	)	)	PUNCT
ijassa-1565	151	36	.	.	PUNCT
ijassa-1565	152	1	4	4	X
ijassa-1565	152	2	.	.	X
ijassa-1565	152	3	bharati	bharati	PROPN
ijassa-1565	152	4	,	,	PUNCT
ijassa-1565	152	5	m.	m.	PROPN
ijassa-1565	152	6	h.	h.	PROPN
ijassa-1565	152	7	,	,	PUNCT
ijassa-1565	152	8	liu	liu	PROPN
ijassa-1565	152	9	,	,	PUNCT
ijassa-1565	152	10	j.	j.	PROPN
ijassa-1565	152	11	j.	j.	PROPN
ijassa-1565	152	12	&	&	CCONJ
ijassa-1565	152	13	macgregor	macgregor	PROPN
ijassa-1565	152	14	,	,	PUNCT
ijassa-1565	152	15	j.	j.	PROPN
ijassa-1565	152	16	f.	f.	PROPN
ijassa-1565	152	17	(	(	PUNCT
ijassa-1565	152	18	2004	2004	NUM
ijassa-1565	152	19	)	)	PUNCT
ijassa-1565	152	20	image	image	NOUN
ijassa-1565	152	21	texture	texture	NOUN
ijassa-1565	152	22	analysis	analysis	NOUN
ijassa-1565	152	23	:	:	PUNCT
ijassa-1565	152	24	methods	method	NOUN
ijassa-1565	152	25	and	and	CCONJ
ijassa-1565	152	26	comparisons	comparison	NOUN
ijassa-1565	152	27	,	,	PUNCT
ijassa-1565	152	28	chemometrics	chemometric	NOUN
ijassa-1565	152	29	and	and	CCONJ
ijassa-1565	152	30	intelligent	intelligent	ADJ
ijassa-1565	152	31	laboratory	laboratory	NOUN
ijassa-1565	152	32	systems	system	NOUN
ijassa-1565	152	33	,	,	PUNCT
ijassa-1565	152	34	72(1	72(1	NOUN
ijassa-1565	152	35	)	)	PUNCT
ijassa-1565	152	36	,	,	PUNCT
ijassa-1565	152	37	57–71	57–71	NUM
ijassa-1565	152	38	.	.	PUNCT
ijassa-1565	153	1	5	5	NUM
ijassa-1565	153	2	.	.	X
ijassa-1565	153	3	christodoulou	christodoulou	PROPN
ijassa-1565	153	4	,	,	PUNCT
ijassa-1565	153	5	c.	c.	PROPN
ijassa-1565	153	6	i.	i.	PROPN
ijassa-1565	153	7	,	,	PUNCT
ijassa-1565	153	8	michaelides	michaelide	NOUN
ijassa-1565	153	9	,	,	PUNCT
ijassa-1565	153	10	s.	s.	PROPN
ijassa-1565	153	11	c.	c.	PROPN
ijassa-1565	153	12	&	&	CCONJ
ijassa-1565	153	13	pattichis	pattichis	PROPN
ijassa-1565	153	14	,	,	PUNCT
ijassa-1565	153	15	c.	c.	PROPN
ijassa-1565	153	16	s.	s.	PROPN
ijassa-1565	153	17	(	(	PUNCT
ijassa-1565	153	18	2003	2003	NUM
ijassa-1565	153	19	)	)	PUNCT
ijassa-1565	153	20	multifeature	multifeature	NOUN
ijassa-1565	153	21	texture	texture	ADJ
ijassa-1565	153	22	analysis	analysis	NOUN
ijassa-1565	153	23	for	for	ADP
ijassa-1565	153	24	the	the	DET
ijassa-1565	153	25	classification	classification	NOUN
ijassa-1565	153	26	of	of	ADP
ijassa-1565	153	27	clouds	cloud	NOUN
ijassa-1565	153	28	in	in	ADP
ijassa-1565	153	29	satellite	satellite	NOUN
ijassa-1565	153	30	imagery	imagery	NOUN
ijassa-1565	153	31	,	,	PUNCT
ijassa-1565	153	32	ieee	ieee	NOUN
ijassa-1565	153	33	transactions	transaction	NOUN
ijassa-1565	153	34	on	on	ADP
ijassa-1565	153	35	geoscience	geoscience	NOUN
ijassa-1565	153	36	and	and	CCONJ
ijassa-1565	153	37	remote	remote	ADJ
ijassa-1565	153	38	sensing	sensing	NOUN
ijassa-1565	153	39	,	,	PUNCT
ijassa-1565	153	40	41(11	41(11	NUM
ijassa-1565	153	41	)	)	PUNCT
ijassa-1565	153	42	,	,	PUNCT
ijassa-1565	153	43	2662–2668	2662–2668	NUM
ijassa-1565	153	44	.	.	PROPN
ijassa-1565	153	45	6	6	NUM
ijassa-1565	153	46	.	.	X
ijassa-1565	153	47	ermakov	ermakov	PROPN
ijassa-1565	153	48	,	,	PUNCT
ijassa-1565	153	49	s.	s.	PROPN
ijassa-1565	153	50	a.	a.	PROPN
ijassa-1565	153	51	,	,	PUNCT
ijassa-1565	153	52	lavrova	lavrova	PROPN
ijassa-1565	153	53	,	,	PUNCT
ijassa-1565	153	54	o.	o.	PROPN
ijassa-1565	153	55	yu	yu	PROPN
ijassa-1565	153	56	.	.	PROPN
ijassa-1565	153	57	,	,	PUNCT
ijassa-1565	153	58	kapustin	kapustin	PROPN
ijassa-1565	153	59	,	,	PUNCT
ijassa-1565	153	60	i.	i.	PROPN
ijassa-1565	153	61	a.	a.	PROPN
ijassa-1565	153	62	,	,	PUNCT
ijassa-1565	153	63	ermoshkin	ermoshkin	NOUN
ijassa-1565	153	64	,	,	PUNCT
ijassa-1565	153	65	a.	a.	NOUN
ijassa-1565	153	66	v.	v.	PROPN
ijassa-1565	153	67	,	,	PUNCT
ijassa-1565	153	68	molkov	molkov	PROPN
ijassa-1565	153	69	,	,	PUNCT
ijassa-1565	153	70	a.	a.	PROPN
ijassa-1565	153	71	a.	a.	PROPN
ijassa-1565	153	72	&	&	CCONJ
ijassa-1565	153	73	danilicheva	danilicheva	PROPN
ijassa-1565	153	74	,	,	PUNCT
ijassa-1565	153	75	o.	o.	NOUN
ijassa-1565	153	76	a.	a.	NOUN
ijassa-1565	153	77	(	(	PUNCT
ijassa-1565	153	78	2018	2018	NUM
ijassa-1565	153	79	)	)	PUNCT
ijassa-1565	153	80	o	o	NOUN
ijassa-1565	153	81	grebenchatoi	grebenchatoi	NOUN
ijassa-1565	153	82	strukture	strukture	NOUN
ijassa-1565	153	83	granits	granit	NOUN
ijassa-1565	153	84	slikov	slikov	PROPN
ijassa-1565	153	85	na	na	PART
ijassa-1565	153	86	morskoi	morskoi	VERB
ijassa-1565	153	87	poverhnosti	poverhnosti	NOUN
ijassa-1565	154	1	[	[	X
ijassa-1565	154	2	on	on	ADP
ijassa-1565	154	3	the	the	DET
ijassa-1565	154	4	“	"	PUNCT
ijassa-1565	154	5	comb	comb	NOUN
ijassa-1565	154	6	”	"	PUNCT
ijassa-1565	154	7	structure	structure	NOUN
ijassa-1565	154	8	of	of	ADP
ijassa-1565	154	9	the	the	DET
ijassa-1565	154	10	edges	edge	NOUN
ijassa-1565	154	11	of	of	ADP
ijassa-1565	154	12	slicks	slick	NOUN
ijassa-1565	154	13	on	on	ADP
ijassa-1565	154	14	the	the	DET
ijassa-1565	154	15	sea	sea	NOUN
ijassa-1565	154	16	surface	surface	NOUN
ijassa-1565	154	17	]	]	PUNCT
ijassa-1565	154	18	,	,	PUNCT
ijassa-1565	154	19	sovremennye	sovremennye	PROPN
ijassa-1565	154	20	problemy	problemy	PROPN
ijassa-1565	154	21	distantsionnogo	distantsionnogo	PROPN
ijassa-1565	154	22	zondirovaniya	zondirovaniya	PROPN
ijassa-1565	154	23	zemli	zemli	PROPN
ijassa-1565	154	24	iz	iz	PROPN
ijassa-1565	154	25	kosmosa	kosmosa	PROPN
ijassa-1565	154	26	,	,	PUNCT
ijassa-1565	154	27	15(7	15(7	NUM
ijassa-1565	154	28	)	)	PUNCT
ijassa-1565	154	29	,	,	PUNCT
ijassa-1565	154	30	208	208	NUM
ijassa-1565	154	31	–	–	PUNCT
ijassa-1565	154	32	217	217	NUM
ijassa-1565	154	33	,	,	PUNCT
ijassa-1565	154	34	[	[	X
ijassa-1565	154	35	in	in	ADP
ijassa-1565	154	36	russian	russian	PROPN
ijassa-1565	154	37	]	]	PUNCT
ijassa-1565	154	38	.	.	PUNCT
ijassa-1565	155	1	7	7	X
ijassa-1565	155	2	.	.	X
ijassa-1565	155	3	esa	esa	PROPN
ijassa-1565	155	4	(	(	PUNCT
ijassa-1565	155	5	2018	2018	NUM
ijassa-1565	155	6	)	)	PUNCT
ijassa-1565	155	7	.	.	PUNCT
ijassa-1565	156	1	faroe	faroe	PROPN
ijassa-1565	156	2	islands	islands	PROPN
ijassa-1565	156	3	,	,	PUNCT
ijassa-1565	156	4	modified	modify	VERB
ijassa-1565	156	5	copernicus	copernicus	NOUN
ijassa-1565	156	6	sentinel	sentinel	PROPN
ijassa-1565	156	7	data	datum	NOUN
ijassa-1565	156	8	,	,	PUNCT
ijassa-1565	156	9	[	[	X
ijassa-1565	156	10	online	online	X
ijassa-1565	156	11	]	]	X
ijassa-1565	156	12	.	.	PUNCT
ijassa-1565	157	1	available	available	ADJ
ijassa-1565	157	2	:	:	PUNCT
ijassa-1565	157	3	https://www.esa.int/esa	https://www.esa.int/esa	ADJ
ijassa-1565	157	4	multimedia	multimedia	NOUN
ijassa-1565	157	5	/	/	SYM
ijassa-1565	157	6	images/2020/01	images/2020/01	NOUN
ijassa-1565	157	7	/	/	SYM
ijassa-1565	157	8	faroe	faroe	NOUN
ijassa-1565	157	9	islands	island	NOUN
ijassa-1565	157	10	.	.	PUNCT
ijassa-1565	158	1	8	8	X
ijassa-1565	158	2	.	.	X
ijassa-1565	158	3	esa	esa	PROPN
ijassa-1565	158	4	(	(	PUNCT
ijassa-1565	158	5	2020	2020	NUM
ijassa-1565	158	6	)	)	PUNCT
ijassa-1565	158	7	.	.	PUNCT
ijassa-1565	159	1	lofoten	lofoten	PROPN
ijassa-1565	159	2	,	,	PUNCT
ijassa-1565	159	3	norway	norway	PROPN
ijassa-1565	159	4	,	,	PUNCT
ijassa-1565	159	5	modified	modify	VERB
ijassa-1565	159	6	copernicus	copernicus	NOUN
ijassa-1565	159	7	sentinel	sentinel	PROPN
ijassa-1565	159	8	data	datum	NOUN
ijassa-1565	159	9	,	,	PUNCT
ijassa-1565	159	10	[	[	X
ijassa-1565	159	11	online	online	X
ijassa-1565	159	12	]	]	X
ijassa-1565	159	13	.	.	PUNCT
ijassa-1565	160	1	available	available	ADJ
ijassa-1565	160	2	:	:	PUNCT
ijassa-1565	160	3	https://www.esa.int/esa	https://www.esa.int/esa	ADJ
ijassa-1565	160	4	multimedia	multimedia	PROPN
ijassa-1565	160	5	/	/	SYM
ijassa-1565	160	6	images/2022/03	images/2022/03	PROPN
ijassa-1565	160	7	/	/	SYM
ijassa-1565	160	8	lofoten	lofoten	PROPN
ijassa-1565	160	9	norway	norway	PROPN
ijassa-1565	160	10	9	9	NUM
ijassa-1565	160	11	.	.	PUNCT
ijassa-1565	160	12	graziano	graziano	PROPN
ijassa-1565	160	13	,	,	PUNCT
ijassa-1565	160	14	m.	m.	PROPN
ijassa-1565	160	15	d.	d.	PROPN
ijassa-1565	160	16	(	(	PUNCT
ijassa-1565	160	17	2020	2020	NUM
ijassa-1565	160	18	)	)	PUNCT
ijassa-1565	160	19	preliminary	preliminary	ADJ
ijassa-1565	160	20	results	result	NOUN
ijassa-1565	160	21	of	of	ADP
ijassa-1565	160	22	ship	ship	NOUN
ijassa-1565	160	23	detection	detection	NOUN
ijassa-1565	160	24	technique	technique	NOUN
ijassa-1565	160	25	by	by	ADP
ijassa-1565	160	26	wake	wake	VERB
ijassa-1565	160	27	pattern	pattern	NOUN
ijassa-1565	160	28	recognition	recognition	NOUN
ijassa-1565	160	29	in	in	ADP
ijassa-1565	160	30	sar	sar	PROPN
ijassa-1565	160	31	images	image	NOUN
ijassa-1565	160	32	,	,	PUNCT
ijassa-1565	160	33	remote	remote	ADJ
ijassa-1565	160	34	sensing	sensing	NOUN
ijassa-1565	160	35	,	,	PUNCT
ijassa-1565	160	36	12(18	12(18	NUM
ijassa-1565	160	37	)	)	PUNCT
ijassa-1565	160	38	,	,	PUNCT
ijassa-1565	160	39	2869	2869	NUM
ijassa-1565	160	40	.	.	PUNCT
ijassa-1565	161	1	10	10	NUM
ijassa-1565	161	2	.	.	X
ijassa-1565	161	3	haralick	haralick	PROPN
ijassa-1565	161	4	,	,	PUNCT
ijassa-1565	161	5	r.	r.	PROPN
ijassa-1565	161	6	m.	m.	PROPN
ijassa-1565	161	7	(	(	PUNCT
ijassa-1565	161	8	1979	1979	NUM
ijassa-1565	161	9	)	)	PUNCT
ijassa-1565	161	10	statistical	statistical	ADJ
ijassa-1565	161	11	and	and	CCONJ
ijassa-1565	161	12	structural	structural	ADJ
ijassa-1565	161	13	approaches	approach	NOUN
ijassa-1565	161	14	to	to	ADP
ijassa-1565	161	15	texture	texture	NOUN
ijassa-1565	161	16	,	,	PUNCT
ijassa-1565	161	17	proceedings	proceeding	NOUN
ijassa-1565	161	18	of	of	ADP
ijassa-1565	161	19	the	the	DET
ijassa-1565	161	20	ieee	ieee	NOUN
ijassa-1565	161	21	,	,	PUNCT
ijassa-1565	161	22	67(5	67(5	NUM
ijassa-1565	161	23	)	)	PUNCT
ijassa-1565	161	24	,	,	PUNCT
ijassa-1565	161	25	786–804	786–804	NUM
ijassa-1565	161	26	.	.	PUNCT
ijassa-1565	161	27	11	11	NUM
ijassa-1565	161	28	.	.	X
ijassa-1565	162	1	izumi	izumi	PROPN
ijassa-1565	162	2	,	,	PUNCT
ijassa-1565	162	3	t.	t.	PROPN
ijassa-1565	162	4	(	(	PUNCT
ijassa-1565	162	5	2018	2018	NUM
ijassa-1565	162	6	)	)	PUNCT
ijassa-1565	162	7	.	.	PUNCT
ijassa-1565	163	1	fast	fast	ADJ
ijassa-1565	163	2	gray	gray	ADJ
ijassa-1565	163	3	-	-	PUNCT
ijassa-1565	163	4	level	level	NOUN
ijassa-1565	163	5	co	co	NOUN
ijassa-1565	163	6	-	-	NOUN
ijassa-1565	163	7	occurrence	occurrence	ADJ
ijassa-1565	163	8	matrix	matrix	NOUN
ijassa-1565	163	9	by	by	ADP
ijassa-1565	163	10	numpy	numpy	NOUN
ijassa-1565	163	11	,	,	PUNCT
ijassa-1565	163	12	[	[	X
ijassa-1565	163	13	online	online	X
ijassa-1565	163	14	]	]	X
ijassa-1565	163	15	.	.	PUNCT
ijassa-1565	164	1	available	available	ADJ
ijassa-1565	164	2	:	:	PUNCT
ijassa-1565	164	3	https://github.com/tzm030329/glcm	https://github.com/tzm030329/glcm	NOUN
ijassa-1565	164	4	.	.	PUNCT
ijassa-1565	165	1	12	12	NUM
ijassa-1565	165	2	.	.	X
ijassa-1565	166	1	jahjah	jahjah	PROPN
ijassa-1565	166	2	,	,	PUNCT
ijassa-1565	166	3	m.	m.	NOUN
ijassa-1565	166	4	&	&	CCONJ
ijassa-1565	166	5	ulivieri	ulivieri	PROPN
ijassa-1565	166	6	,	,	PUNCT
ijassa-1565	166	7	c.	c.	PROPN
ijassa-1565	166	8	(	(	PUNCT
ijassa-1565	166	9	2010	2010	NUM
ijassa-1565	166	10	)	)	PUNCT
ijassa-1565	166	11	automatic	automatic	ADJ
ijassa-1565	166	12	archaeological	archaeological	ADJ
ijassa-1565	166	13	feature	feature	NOUN
ijassa-1565	166	14	extraction	extraction	NOUN
ijassa-1565	166	15	from	from	ADP
ijassa-1565	166	16	satellite	satellite	NOUN
ijassa-1565	166	17	vhr	vhr	NOUN
ijassa-1565	166	18	images	image	NOUN
ijassa-1565	166	19	,	,	PUNCT
ijassa-1565	166	20	acta	acta	PROPN
ijassa-1565	166	21	astronautica	astronautica	PROPN
ijassa-1565	166	22	,	,	PUNCT
ijassa-1565	166	23	66(9	66(9	NUM
ijassa-1565	166	24	)	)	PUNCT
ijassa-1565	166	25	,	,	PUNCT
ijassa-1565	166	26	1302–1310	1302–1310	NUM
ijassa-1565	166	27	.	.	NOUN
ijassa-1565	166	28	13	13	NUM
ijassa-1565	166	29	.	.	PUNCT
ijassa-1565	166	30	julesz	julesz	PROPN
ijassa-1565	166	31	,	,	PUNCT
ijassa-1565	166	32	b.	b.	PROPN
ijassa-1565	166	33	(	(	PUNCT
ijassa-1565	166	34	1962	1962	NUM
ijassa-1565	166	35	)	)	PUNCT
ijassa-1565	166	36	visual	visual	ADJ
ijassa-1565	166	37	pattern	pattern	NOUN
ijassa-1565	166	38	discrimination	discrimination	NOUN
ijassa-1565	166	39	,	,	PUNCT
ijassa-1565	166	40	ire	ire	ADJ
ijassa-1565	166	41	transactions	transaction	NOUN
ijassa-1565	166	42	on	on	ADP
ijassa-1565	166	43	information	information	NOUN
ijassa-1565	166	44	theory	theory	NOUN
ijassa-1565	166	45	,	,	PUNCT
ijassa-1565	166	46	8(2	8(2	NUM
ijassa-1565	166	47	)	)	PUNCT
ijassa-1565	166	48	,	,	PUNCT
ijassa-1565	166	49	84–92	84–92	NUM
ijassa-1565	166	50	.	.	PUNCT
ijassa-1565	167	1	14	14	NUM
ijassa-1565	167	2	.	.	PUNCT
ijassa-1565	168	1	keeler	keeler	PROPN
ijassa-1565	168	2	,	,	PUNCT
ijassa-1565	168	3	r.	r.	PROPN
ijassa-1565	168	4	n.	n.	PROPN
ijassa-1565	168	5	,	,	PUNCT
ijassa-1565	168	6	bondur	bondur	NOUN
ijassa-1565	168	7	,	,	PUNCT
ijassa-1565	168	8	v.	v.	PROPN
ijassa-1565	168	9	g.	g.	PROPN
ijassa-1565	168	10	&	&	CCONJ
ijassa-1565	168	11	gibson	gibson	PROPN
ijassa-1565	168	12	c.	c.	PROPN
ijassa-1565	168	13	h.	h.	PROPN
ijassa-1565	168	14	(	(	PUNCT
ijassa-1565	168	15	2005	2005	NUM
ijassa-1565	168	16	)	)	PUNCT
ijassa-1565	168	17	optical	optical	ADJ
ijassa-1565	168	18	satellite	satellite	NOUN
ijassa-1565	168	19	imagery	imagery	NOUN
ijassa-1565	168	20	detection	detection	NOUN
ijassa-1565	168	21	of	of	ADP
ijassa-1565	168	22	internal	internal	ADJ
ijassa-1565	168	23	wave	wave	NOUN
ijassa-1565	168	24	effects	effect	NOUN
ijassa-1565	168	25	from	from	ADP
ijassa-1565	168	26	a	a	DET
ijassa-1565	168	27	submerged	submerged	ADJ
ijassa-1565	168	28	turbulent	turbulent	ADJ
ijassa-1565	168	29	outfall	outfall	NOUN
ijassa-1565	168	30	in	in	ADP
ijassa-1565	168	31	the	the	DET
ijassa-1565	168	32	stratified	stratified	ADJ
ijassa-1565	168	33	ocean	ocean	NOUN
ijassa-1565	168	34	:	:	PUNCT
ijassa-1565	168	35	optical	optical	ADJ
ijassa-1565	168	36	satellite	satellite	NOUN
ijassa-1565	168	37	imagery	imagery	NOUN
ijassa-1565	168	38	detection	detection	NOUN
ijassa-1565	168	39	,	,	PUNCT
ijassa-1565	168	40	geophysical	geophysical	ADJ
ijassa-1565	168	41	research	research	NOUN
ijassa-1565	168	42	letters	letter	NOUN
ijassa-1565	168	43	,	,	PUNCT
ijassa-1565	168	44	32(12	32(12	NUM
ijassa-1565	168	45	)	)	PUNCT
ijassa-1565	168	46	.	.	PUNCT
ijassa-1565	169	1	copyright	copyright	NOUN
ijassa-1565	169	2	©	©	PROPN
ijassa-1565	169	3	2024	2024	NUM
ijassa-1565	169	4	assa	assa	NOUN
ijassa-1565	169	5	.	.	PUNCT
ijassa-1565	170	1	adv	adv	PROPN
ijassa-1565	170	2	syst	syst	PROPN
ijassa-1565	170	3	sci	sci	PROPN
ijassa-1565	170	4	appl	appl	PROPN
ijassa-1565	170	5	(	(	PUNCT
ijassa-1565	170	6	2024	2024	NUM
ijassa-1565	170	7	)	)	PUNCT
ijassa-1565	170	8	https://www.esa.int/esa_multimedia/images/2020/01/faroe_islands	https://www.esa.int/esa_multimedia/images/2020/01/faroe_island	VERB
ijassa-1565	170	9	https://www.esa.int/esa_multimedia/images/2022/03/lofoten_norway	https://www.esa.int/esa_multimedia/images/2022/03/lofoten_norway	ADV
ijassa-1565	170	10	https://github.com/tzm030329/glcm	https://github.com/tzm030329/glcm	PROPN
ijassa-1565	170	11	28	28	NUM
ijassa-1565	170	12	a.a	a.a	PROPN
ijassa-1565	170	13	.	.	PROPN
ijassa-1565	170	14	galyaev	galyaev	PROPN
ijassa-1565	170	15	,	,	PUNCT
ijassa-1565	170	16	a.v	a.v	PROPN
ijassa-1565	170	17	.	.	PROPN
ijassa-1565	170	18	dobrovidov	dobrovidov	PROPN
ijassa-1565	170	19	,	,	PUNCT
ijassa-1565	170	20	p.v	p.v	PROPN
ijassa-1565	170	21	.	.	PROPN
ijassa-1565	170	22	lysenko	lysenko	PROPN
ijassa-1565	170	23	,	,	PUNCT
ijassa-1565	170	24	l.m	l.m	PROPN
ijassa-1565	170	25	.	.	PROPN
ijassa-1565	170	26	berlin	berlin	PROPN
ijassa-1565	170	27	,	,	PUNCT
ijassa-1565	170	28	m.a	m.a	PROPN
ijassa-1565	170	29	.	.	PROPN
ijassa-1565	170	30	kolygo	kolygo	PROPN
ijassa-1565	170	31	15	15	NUM
ijassa-1565	170	32	.	.	PUNCT
ijassa-1565	171	1	kiema	kiema	PROPN
ijassa-1565	171	2	,	,	PUNCT
ijassa-1565	171	3	j.	j.	PROPN
ijassa-1565	171	4	b.	b.	PROPN
ijassa-1565	171	5	k.	k.	PROPN
ijassa-1565	172	1	(	(	PUNCT
ijassa-1565	172	2	2002	2002	NUM
ijassa-1565	172	3	)	)	PUNCT
ijassa-1565	172	4	texture	texture	NOUN
ijassa-1565	172	5	analysis	analysis	NOUN
ijassa-1565	172	6	and	and	CCONJ
ijassa-1565	172	7	data	datum	NOUN
ijassa-1565	172	8	fusion	fusion	NOUN
ijassa-1565	172	9	in	in	ADP
ijassa-1565	172	10	the	the	DET
ijassa-1565	172	11	extraction	extraction	NOUN
ijassa-1565	172	12	of	of	ADP
ijassa-1565	172	13	topographic	topographic	ADJ
ijassa-1565	172	14	objects	object	NOUN
ijassa-1565	172	15	from	from	ADP
ijassa-1565	172	16	satellite	satellite	NOUN
ijassa-1565	172	17	imagery	imagery	NOUN
ijassa-1565	172	18	,	,	PUNCT
ijassa-1565	172	19	international	international	ADJ
ijassa-1565	172	20	journal	journal	NOUN
ijassa-1565	172	21	of	of	ADP
ijassa-1565	172	22	remote	remote	ADJ
ijassa-1565	172	23	sensing	sensing	NOUN
ijassa-1565	172	24	,	,	PUNCT
ijassa-1565	172	25	23(4	23(4	NOUN
ijassa-1565	172	26	)	)	PUNCT
ijassa-1565	172	27	,	,	PUNCT
ijassa-1565	172	28	767	767	NUM
ijassa-1565	172	29	–	–	PUNCT
ijassa-1565	172	30	776	776	NUM
ijassa-1565	172	31	.	.	NOUN
ijassa-1565	172	32	16	16	NUM
ijassa-1565	172	33	.	.	PUNCT
ijassa-1565	173	1	kupidura	kupidura	NOUN
ijassa-1565	173	2	,	,	PUNCT
ijassa-1565	173	3	p.	p.	NOUN
ijassa-1565	173	4	(	(	PUNCT
ijassa-1565	173	5	2019	2019	NUM
ijassa-1565	173	6	)	)	PUNCT
ijassa-1565	173	7	the	the	DET
ijassa-1565	173	8	comparison	comparison	NOUN
ijassa-1565	173	9	of	of	ADP
ijassa-1565	173	10	different	different	ADJ
ijassa-1565	173	11	methods	method	NOUN
ijassa-1565	173	12	of	of	ADP
ijassa-1565	173	13	texture	texture	ADJ
ijassa-1565	173	14	analysis	analysis	NOUN
ijassa-1565	173	15	for	for	ADP
ijassa-1565	173	16	their	their	PRON
ijassa-1565	173	17	efficacy	efficacy	NOUN
ijassa-1565	173	18	for	for	ADP
ijassa-1565	173	19	land	land	NOUN
ijassa-1565	173	20	use	use	NOUN
ijassa-1565	173	21	classification	classification	NOUN
ijassa-1565	173	22	in	in	ADP
ijassa-1565	173	23	satellite	satellite	NOUN
ijassa-1565	173	24	imagery	imagery	NOUN
ijassa-1565	173	25	.	.	PUNCT
ijassa-1565	174	1	remote	remote	ADJ
ijassa-1565	174	2	sensing	sensing	NOUN
ijassa-1565	174	3	,	,	PUNCT
ijassa-1565	174	4	11(10	11(10	NUM
ijassa-1565	174	5	)	)	PUNCT
ijassa-1565	174	6	,	,	PUNCT
ijassa-1565	174	7	1233	1233	NUM
ijassa-1565	174	8	.	.	PUNCT
ijassa-1565	175	1	17	17	NUM
ijassa-1565	175	2	.	.	PUNCT
ijassa-1565	176	1	liu	liu	PROPN
ijassa-1565	176	2	,	,	PUNCT
ijassa-1565	176	3	y.	y.	PROPN
ijassa-1565	176	4	&	&	CCONJ
ijassa-1565	176	5	deng	deng	PROPN
ijassa-1565	176	6	,	,	PUNCT
ijassa-1565	176	7	r.	r.	PROPN
ijassa-1565	176	8	(	(	PUNCT
ijassa-1565	176	9	2018	2018	NUM
ijassa-1565	176	10	)	)	PUNCT
ijassa-1565	176	11	ship	ship	NOUN
ijassa-1565	176	12	wakes	wake	VERB
ijassa-1565	176	13	in	in	ADP
ijassa-1565	176	14	optical	optical	ADJ
ijassa-1565	176	15	images	image	NOUN
ijassa-1565	176	16	,	,	PUNCT
ijassa-1565	176	17	journal	journal	NOUN
ijassa-1565	176	18	of	of	ADP
ijassa-1565	176	19	atmospheric	atmospheric	ADJ
ijassa-1565	176	20	and	and	CCONJ
ijassa-1565	176	21	oceanic	oceanic	ADJ
ijassa-1565	176	22	technology	technology	NOUN
ijassa-1565	176	23	,	,	PUNCT
ijassa-1565	176	24	35(8	35(8	NUM
ijassa-1565	176	25	)	)	PUNCT
ijassa-1565	176	26	,	,	PUNCT
ijassa-1565	176	27	1633–1648	1633–1648	NUM
ijassa-1565	176	28	.	.	PUNCT
ijassa-1565	177	1	18	18	NUM
ijassa-1565	177	2	.	.	X
ijassa-1565	177	3	lópez	lópez	ADV
ijassa-1565	177	4	-	-	PUNCT
ijassa-1565	177	5	ruiz	ruiz	NOUN
ijassa-1565	177	6	,	,	PUNCT
ijassa-1565	177	7	r.	r.	PROPN
ijassa-1565	177	8	,	,	PUNCT
ijassa-1565	177	9	mancini	mancini	PROPN
ijassa-1565	177	10	,	,	PUNCT
ijassa-1565	177	11	h.	h.	PROPN
ijassa-1565	177	12	l.	l.	PROPN
ijassa-1565	177	13	&	&	CCONJ
ijassa-1565	177	14	calbet	calbet	PROPN
ijassa-1565	177	15	,	,	PUNCT
ijassa-1565	177	16	x.	x.	NOUN
ijassa-1565	177	17	(	(	PUNCT
ijassa-1565	177	18	1995	1995	NUM
ijassa-1565	177	19	)	)	PUNCT
ijassa-1565	177	20	a	a	DET
ijassa-1565	177	21	statistical	statistical	ADJ
ijassa-1565	177	22	measure	measure	NOUN
ijassa-1565	177	23	of	of	ADP
ijassa-1565	177	24	complexity	complexity	NOUN
ijassa-1565	177	25	,	,	PUNCT
ijassa-1565	177	26	physics	physics	NOUN
ijassa-1565	177	27	letters	letter	NOUN
ijassa-1565	177	28	a	a	PRON
ijassa-1565	177	29	,	,	PUNCT
ijassa-1565	177	30	209(5	209(5	NUM
ijassa-1565	177	31	)	)	PUNCT
ijassa-1565	177	32	,	,	PUNCT
ijassa-1565	177	33	321–326	321–326	NUM
ijassa-1565	177	34	.	.	PUNCT
ijassa-1565	178	1	19	19	NUM
ijassa-1565	178	2	.	.	PUNCT
ijassa-1565	179	1	napolano	napolano	PROPN
ijassa-1565	179	2	,	,	PUNCT
ijassa-1565	179	3	g.	g.	PROPN
ijassa-1565	179	4	,	,	PUNCT
ijassa-1565	179	5	vela	vela	PROPN
ijassa-1565	179	6	,	,	PUNCT
ijassa-1565	179	7	c.	c.	NOUN
ijassa-1565	179	8	,	,	PUNCT
ijassa-1565	179	9	nocerino	nocerino	PROPN
ijassa-1565	179	10	,	,	PUNCT
ijassa-1565	179	11	a.	a.	NOUN
ijassa-1565	179	12	,	,	PUNCT
ijassa-1565	179	13	opromolla	opromolla	PROPN
ijassa-1565	179	14	,	,	PUNCT
ijassa-1565	179	15	r.	r.	PROPN
ijassa-1565	179	16	&	&	CCONJ
ijassa-1565	179	17	grassi	grassi	PROPN
ijassa-1565	179	18	,	,	PUNCT
ijassa-1565	179	19	m.	m.	NOUN
ijassa-1565	179	20	(	(	PUNCT
ijassa-1565	179	21	2023	2023	NUM
ijassa-1565	179	22	)	)	PUNCT
ijassa-1565	179	23	a	a	DET
ijassa-1565	179	24	multi	multi	ADJ
ijassa-1565	179	25	-	-	ADJ
ijassa-1565	179	26	sensor	sensor	ADJ
ijassa-1565	179	27	optical	optical	ADJ
ijassa-1565	179	28	relative	relative	ADJ
ijassa-1565	179	29	navigation	navigation	NOUN
ijassa-1565	179	30	system	system	NOUN
ijassa-1565	179	31	for	for	ADP
ijassa-1565	179	32	small	small	ADJ
ijassa-1565	179	33	satellite	satellite	NOUN
ijassa-1565	179	34	servicing	servicing	NOUN
ijassa-1565	179	35	,	,	PUNCT
ijassa-1565	179	36	acta	acta	PROPN
ijassa-1565	179	37	astronautica	astronautica	PROPN
ijassa-1565	179	38	,	,	PUNCT
ijassa-1565	179	39	207	207	NUM
ijassa-1565	179	40	,	,	PUNCT
ijassa-1565	179	41	167–192	167–192	NUM
ijassa-1565	179	42	.	.	NOUN
ijassa-1565	179	43	20	20	NUM
ijassa-1565	179	44	.	.	PUNCT
ijassa-1565	180	1	pan	pan	PROPN
ijassa-1565	180	2	,	,	PUNCT
ijassa-1565	180	3	x.	x.	PROPN
ijassa-1565	180	4	,	,	PUNCT
ijassa-1565	180	5	li	li	PROPN
ijassa-1565	180	6	,	,	PUNCT
ijassa-1565	180	7	n.	n.	PROPN
ijassa-1565	180	8	,	,	PUNCT
ijassa-1565	180	9	yang	yang	PROPN
ijassa-1565	180	10	,	,	PUNCT
ijassa-1565	180	11	l.	l.	PROPN
ijassa-1565	180	12	,	,	PUNCT
ijassa-1565	180	13	huang	huang	PROPN
ijassa-1565	180	14	,	,	PUNCT
ijassa-1565	180	15	z.	z.	PROPN
ijassa-1565	180	16	,	,	PUNCT
ijassa-1565	180	17	chen	chen	PROPN
ijassa-1565	180	18	,	,	PUNCT
ijassa-1565	180	19	j.	j.	PROPN
ijassa-1565	180	20	,	,	PUNCT
ijassa-1565	180	21	wu	wu	PROPN
ijassa-1565	180	22	,	,	PUNCT
ijassa-1565	180	23	z.	z.	PROPN
ijassa-1565	180	24	&	&	CCONJ
ijassa-1565	180	25	zheng	zheng	PROPN
ijassa-1565	180	26	,	,	PUNCT
ijassa-1565	180	27	g.	g.	PROPN
ijassa-1565	180	28	(	(	PUNCT
ijassa-1565	180	29	2023	2023	NUM
ijassa-1565	180	30	)	)	PUNCT
ijassa-1565	180	31	anomalybased	anomalybase	VERB
ijassa-1565	180	32	ship	ship	NOUN
ijassa-1565	180	33	detection	detection	NOUN
ijassa-1565	180	34	using	use	VERB
ijassa-1565	180	35	sp	sp	ADP
ijassa-1565	180	36	feature	feature	NOUN
ijassa-1565	180	37	-	-	PUNCT
ijassa-1565	180	38	space	space	NOUN
ijassa-1565	180	39	learning	learning	NOUN
ijassa-1565	180	40	with	with	ADP
ijassa-1565	180	41	false	false	ADJ
ijassa-1565	180	42	-	-	PUNCT
ijassa-1565	180	43	alarm	alarm	NOUN
ijassa-1565	180	44	control	control	NOUN
ijassa-1565	180	45	in	in	ADP
ijassa-1565	180	46	sea	sea	NOUN
ijassa-1565	180	47	-	-	PUNCT
ijassa-1565	180	48	surface	surface	NOUN
ijassa-1565	180	49	sar	sar	NOUN
ijassa-1565	180	50	images	image	NOUN
ijassa-1565	180	51	,	,	PUNCT
ijassa-1565	180	52	remote	remote	ADJ
ijassa-1565	180	53	sensing	sensing	NOUN
ijassa-1565	180	54	,	,	PUNCT
ijassa-1565	180	55	15(13	15(13	NUM
ijassa-1565	180	56	)	)	PUNCT
ijassa-1565	180	57	,	,	PUNCT
ijassa-1565	180	58	3258	3258	NUM
ijassa-1565	180	59	.	.	PUNCT
ijassa-1565	181	1	21	21	NUM
ijassa-1565	181	2	.	.	PUNCT
ijassa-1565	181	3	pesaresi	pesaresi	PROPN
ijassa-1565	181	4	,	,	PUNCT
ijassa-1565	181	5	m.	m.	NOUN
ijassa-1565	181	6	(	(	PUNCT
ijassa-1565	181	7	2000	2000	NUM
ijassa-1565	181	8	)	)	PUNCT
ijassa-1565	181	9	texture	texture	NOUN
ijassa-1565	181	10	analysis	analysis	NOUN
ijassa-1565	181	11	for	for	ADP
ijassa-1565	181	12	urban	urban	ADJ
ijassa-1565	181	13	pattern	pattern	NOUN
ijassa-1565	181	14	recognition	recognition	NOUN
ijassa-1565	181	15	using	use	VERB
ijassa-1565	181	16	fine	fine	ADJ
ijassa-1565	181	17	-	-	PUNCT
ijassa-1565	181	18	resolution	resolution	NOUN
ijassa-1565	181	19	panchromatic	panchromatic	ADJ
ijassa-1565	181	20	satellite	satellite	NOUN
ijassa-1565	181	21	imagery	imagery	NOUN
ijassa-1565	181	22	,	,	PUNCT
ijassa-1565	181	23	geographical	geographical	ADJ
ijassa-1565	181	24	and	and	CCONJ
ijassa-1565	181	25	environmental	environmental	ADJ
ijassa-1565	181	26	modelling	modelling	NOUN
ijassa-1565	181	27	,	,	PUNCT
ijassa-1565	181	28	4(1	4(1	NOUN
ijassa-1565	181	29	)	)	PUNCT
ijassa-1565	181	30	,	,	PUNCT
ijassa-1565	181	31	43–63	43–63	NUM
ijassa-1565	181	32	.	.	PUNCT
ijassa-1565	182	1	22	22	NUM
ijassa-1565	182	2	.	.	PUNCT
ijassa-1565	183	1	sun	sun	PROPN
ijassa-1565	183	2	,	,	PUNCT
ijassa-1565	183	3	c.	c.	PROPN
ijassa-1565	183	4	&	&	CCONJ
ijassa-1565	183	5	wen	wen	PROPN
ijassa-1565	183	6	,	,	PUNCT
ijassa-1565	183	7	z.	z.	PROPN
ijassa-1565	183	8	(	(	PUNCT
ijassa-1565	183	9	2021	2021	NUM
ijassa-1565	183	10	)	)	PUNCT
ijassa-1565	183	11	research	research	NOUN
ijassa-1565	183	12	progress	progress	NOUN
ijassa-1565	183	13	in	in	ADP
ijassa-1565	183	14	remote	remote	ADJ
ijassa-1565	183	15	sensing	sense	VERB
ijassa-1565	183	16	image	image	NOUN
ijassa-1565	183	17	texture	texture	NOUN
ijassa-1565	183	18	analysis	analysis	NOUN
ijassa-1565	183	19	,	,	PUNCT
ijassa-1565	183	20	journal	journal	NOUN
ijassa-1565	183	21	of	of	ADP
ijassa-1565	183	22	physics	physics	PROPN
ijassa-1565	183	23	:	:	PUNCT
ijassa-1565	183	24	conference	conference	NOUN
ijassa-1565	183	25	series	series	NOUN
ijassa-1565	183	26	,	,	PUNCT
ijassa-1565	183	27	1961(1	1961(1	NUM
ijassa-1565	183	28	)	)	PUNCT
ijassa-1565	183	29	,	,	PUNCT
ijassa-1565	183	30	012028	012028	NUM
ijassa-1565	183	31	.	.	PUNCT
ijassa-1565	184	1	23	23	NUM
ijassa-1565	184	2	.	.	X
ijassa-1565	185	1	sun	sun	PROPN
ijassa-1565	185	2	,	,	PUNCT
ijassa-1565	185	3	z.	z.	PROPN
ijassa-1565	185	4	,	,	PUNCT
ijassa-1565	185	5	sun	sun	PROPN
ijassa-1565	185	6	,	,	PUNCT
ijassa-1565	185	7	s.	s.	PROPN
ijassa-1565	185	8	,	,	PUNCT
ijassa-1565	185	9	zhao	zhao	PROPN
ijassa-1565	185	10	,	,	PUNCT
ijassa-1565	185	11	j.	j.	PROPN
ijassa-1565	185	12	,	,	PUNCT
ijassa-1565	185	13	ai	ai	VERB
ijassa-1565	185	14	,	,	PUNCT
ijassa-1565	185	15	b.	b.	PROPN
ijassa-1565	185	16	&	&	CCONJ
ijassa-1565	185	17	yang	yang	PROPN
ijassa-1565	185	18	,	,	PUNCT
ijassa-1565	185	19	q.	q.	PROPN
ijassa-1565	185	20	(	(	PUNCT
ijassa-1565	185	21	2022	2022	NUM
ijassa-1565	185	22	)	)	PUNCT
ijassa-1565	185	23	detection	detection	NOUN
ijassa-1565	185	24	of	of	ADP
ijassa-1565	185	25	massive	massive	ADJ
ijassa-1565	185	26	oil	oil	NOUN
ijassa-1565	185	27	spills	spill	NOUN
ijassa-1565	185	28	in	in	ADP
ijassa-1565	185	29	sun	sun	PROPN
ijassa-1565	185	30	glint	glint	NOUN
ijassa-1565	185	31	optical	optical	ADJ
ijassa-1565	185	32	imagery	imagery	NOUN
ijassa-1565	185	33	through	through	ADP
ijassa-1565	185	34	super	super	ADJ
ijassa-1565	185	35	-	-	ADJ
ijassa-1565	185	36	pixel	pixel	ADJ
ijassa-1565	185	37	segmentation	segmentation	NOUN
ijassa-1565	185	38	,	,	PUNCT
ijassa-1565	185	39	journal	journal	NOUN
ijassa-1565	185	40	of	of	ADP
ijassa-1565	185	41	marine	marine	PROPN
ijassa-1565	185	42	science	science	NOUN
ijassa-1565	185	43	and	and	CCONJ
ijassa-1565	185	44	engineering	engineering	NOUN
ijassa-1565	185	45	,	,	PUNCT
ijassa-1565	185	46	10(11	10(11	NUM
ijassa-1565	185	47	)	)	PUNCT
ijassa-1565	185	48	,	,	PUNCT
ijassa-1565	185	49	1630	1630	NUM
ijassa-1565	185	50	.	.	PUNCT
ijassa-1565	186	1	24	24	NUM
ijassa-1565	186	2	.	.	PUNCT
ijassa-1565	187	1	wang	wang	PROPN
ijassa-1565	187	2	,	,	PUNCT
ijassa-1565	187	3	j.	j.	PROPN
ijassa-1565	187	4	,	,	PUNCT
ijassa-1565	187	5	guo	guo	PROPN
ijassa-1565	187	6	,	,	PUNCT
ijassa-1565	187	7	l.	l.	PROPN
ijassa-1565	187	8	,	,	PUNCT
ijassa-1565	187	9	wei	wei	PROPN
ijassa-1565	187	10	,	,	PUNCT
ijassa-1565	187	11	y.	y.	PROPN
ijassa-1565	187	12	&	&	CCONJ
ijassa-1565	187	13	chai	chai	NOUN
ijassa-1565	187	14	,	,	PUNCT
ijassa-1565	187	15	s.	s.	PROPN
ijassa-1565	187	16	(	(	PUNCT
ijassa-1565	187	17	2023	2023	NUM
ijassa-1565	187	18	)	)	PUNCT
ijassa-1565	187	19	study	study	NOUN
ijassa-1565	187	20	on	on	ADP
ijassa-1565	187	21	ship	ship	NOUN
ijassa-1565	187	22	kelvin	kelvin	PROPN
ijassa-1565	187	23	wake	wake	VERB
ijassa-1565	187	24	detection	detection	NOUN
ijassa-1565	187	25	in	in	ADP
ijassa-1565	187	26	numerically	numerically	ADV
ijassa-1565	187	27	simulated	simulate	VERB
ijassa-1565	187	28	sar	sar	NOUN
ijassa-1565	187	29	images	image	NOUN
ijassa-1565	187	30	,	,	PUNCT
ijassa-1565	187	31	remote	remote	ADJ
ijassa-1565	187	32	sensing	sensing	NOUN
ijassa-1565	187	33	,	,	PUNCT
ijassa-1565	187	34	15(4	15(4	NUM
ijassa-1565	187	35	)	)	PUNCT
ijassa-1565	187	36	,	,	PUNCT
ijassa-1565	187	37	1089	1089	NUM
ijassa-1565	187	38	.	.	PUNCT
ijassa-1565	188	1	copyright	copyright	NOUN
ijassa-1565	188	2	©	©	PROPN
ijassa-1565	188	3	2024	2024	NUM
ijassa-1565	188	4	assa	assa	NOUN
ijassa-1565	188	5	.	.	PUNCT
ijassa-1565	189	1	adv	adv	PROPN
ijassa-1565	189	2	syst	syst	PROPN
ijassa-1565	189	3	sci	sci	PROPN
ijassa-1565	189	4	appl	appl	PROPN
ijassa-1565	189	5	(	(	PUNCT
ijassa-1565	189	6	2024	2024	NUM
ijassa-1565	189	7	)	)	PUNCT
ijassa-1565	189	8	introduction	introduction	NOUN
ijassa-1565	189	9	information	information	NOUN
ijassa-1565	189	10	model	model	NOUN
ijassa-1565	189	11	of	of	ADP
ijassa-1565	189	12	spatial	spatial	ADJ
ijassa-1565	189	13	interaction	interaction	NOUN
ijassa-1565	189	14	markov	markov	NOUN
ijassa-1565	189	15	model	model	NOUN
ijassa-1565	189	16	approach	approach	NOUN
ijassa-1565	189	17	statistical	statistical	ADJ
ijassa-1565	189	18	and	and	CCONJ
ijassa-1565	189	19	information	information	NOUN
ijassa-1565	189	20	approaches	approach	VERB
ijassa-1565	189	21	modelling	modelling	NOUN
ijassa-1565	189	22	and	and	CCONJ
ijassa-1565	189	23	comparison	comparison	NOUN
ijassa-1565	189	24	of	of	ADP
ijassa-1565	189	25	constructed	construct	VERB
ijassa-1565	189	26	methods	method	NOUN
ijassa-1565	189	27	satellite	satellite	NOUN
ijassa-1565	189	28	images	image	NOUN
ijassa-1565	189	29	contouring	contour	VERB
ijassa-1565	189	30	ship	ship	NOUN
ijassa-1565	189	31	detection	detection	NOUN
ijassa-1565	189	32	conclusion	conclusion	NOUN