Pre-segmentation influence on the efficiency of multi-temporal image registration

Tashlinskii A., Magdeev R., Safina G.

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Full metadata record

DC Field	Value	Language
dc.coverage.spatial	binding
dc.coverage.spatial	image processing
dc.coverage.spatial	cross-correlation
dc.coverage.spatial	non-invasive monitoring
dc.coverage.spatial	registration
dc.coverage.spatial	stochastic gradient
dc.creator	Tashlinskii A., Magdeev R., Safina G.
dc.date	2023
dc.date.accessioned	2025-08-22T12:18:48Z	-
dc.date.available	2025-08-22T12:18:48Z	-
dc.date.issued	2023
dc.identifier.identifier	RU\НТБ СГАУ\541751
dc.identifier.citation	Tashlinskii, A. Pre-segmentation influence on the efficiency of multi-temporal image registration / A. Tashlinskii, R. Magdeev, G. Safina // Информационные технологии и нанотехнологии (ИТНТ-2023) : сб. тр. по материалам IX Междунар. конф. и молодеж. шк. (г. Самара, 17-23 апр. 2023 г.): в 6 т. / М-во науки и высш. образования Рос. Федерации, Самар. нац. исслед. ун-т им. С. П. Королева (Самар. ун-т), Ин-т систем обраб. изобр. РАН - Фил. Федер. науч.-исслед. центра "Кристаллография и фотоника" Рос. акад. наук. - Самара : Изд-во Самар. ун-та, 2023Распознавание, обработка и анализ изображений / под ред. В. В. Сергеева. - 2023. - С. 031372.
dc.identifier.uri	http://repo.ssau.ru/jspui/handle/123456789/13142	-
dc.description.abstract	The analysis of the segmentation effect of various background areas in the image on the quality of registration of multi-temporal bridge structure images using stochasticalgorithms is carried out. The influence of the parameters of bridge structures image registration, such background structures as cloudiness and ground cover, on the operatingrange is analyzed under the assumption that the similarity model describes mutual volumetric images.
dc.language	eng
dc.relation.ispartof	Информационные технологии и нанотехнологии (ИТНТ-2023) : сб. тр. по материалам IX Междунар. конф. и молодеж. шк. (г. Самара, 17-23 апр. 2023 г.): в 6
dc.source	Информационные технологии и нанотехнологии (ИТНТ-2023). - Т. 3 : Распознавание, обработка и анализ изображений
dc.subject	binding
dc.subject	image processing
dc.subject	cross-correlation
dc.subject	non-invasive monitoring
dc.subject	registration
dc.subject	stochastic gradient
dc.title	Pre-segmentation influence on the efficiency of multi-temporal image registration
dc.type	Text
dc.citation.spage	031372
dc.citation.volume	3
local.contributor.author	Tashlinskii A.
local.contributor.author	Magdeev R.
local.contributor.author	Safina G.
local.identifier.olduri	http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Presegmentation-influence-on-the-efficiency-of-multitemporal-image-registration-105998
local.identifier.olduri	http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Presegmentation-influence-on-the-efficiency-of-multitemporal-image-registration-105998
Appears in Collections:	Информационные технологии и нанотехнологии

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