Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/101725
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dc.contributor.authorDorosinskiy, L.en
dc.date.accessioned2021-08-31T14:59:23Z-
dc.date.available2021-08-31T14:59:23Z-
dc.date.issued2019-
dc.identifier.citationDorosinskiy L. The algorithm of boundaries detection in low-contrast radar images of the earth / L. Dorosinskiy. — DOI 10.1063/1.5114204 // AIP Conference Proceedings. — 2019. — Vol. 2116. — 200023.en
dc.identifier.isbn9780735418547-
dc.identifier.issn0094243X-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Green3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85069957396&doi=10.1063%2f1.5114204&partnerID=40&md5=c1b6b3c1a0d834904cfeb35e08f1b8d2
dc.identifier.otherhttps://elar.urfu.ru/bitstream/10995/75286/1/10.12732-ijpam.v110i4.8.pdfm
dc.identifier.urihttp://hdl.handle.net/10995/101725-
dc.description.abstractOne of the problems of radar images analysis of the Earth is the detection of boarders between areas with different normalized effective radar cross-sections. In this paper, we propose a computationally effective quasi-optimal algorithm capable for building approximation of such boarders with straight line segments for low-contrast radar images and arbitrary line for high-contrast radar images. To achieve computational efficiency, we apply image segmentation and later approximation. Proposed algorithm can be effectively implemented using modern parallel computation systems. © 2019 Author(s).en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherAmerican Institute of Physics Inc.en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceAIP Conf. Proc.2
dc.sourceAIP Conference Proceedingsen
dc.titleThe algorithm of boundaries detection in low-contrast radar images of the earthen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1063/1.5114204-
dc.identifier.scopus85069957396-
local.contributor.employeeDorosinskiy, L., Ural Federal University, Mir Street 19, Yekaterinburg, 620002, Russian Federation
local.volume2116-
local.contributor.departmentUral Federal University, Mir Street 19, Yekaterinburg, 620002, Russian Federation
local.identifier.pure10280343-
local.identifier.pure0fea906e-3e34-45bb-9baa-268af07f2e86uuid
local.description.order200023-
local.identifier.eid2-s2.0-85069957396-
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