Hyperspectral images repository using a hierarchical compression

dc.contributor.authorGashnikov, M. V.
dc.contributor.authorGlumov, N. I.
dc.contributor.editorSkala, Václav
dc.date.accessioned2018-04-11T11:49:18Z
dc.date.available2018-04-11T11:49:18Z
dc.date.issued2015
dc.description.abstractThe possibilities of hierarchical compression in hyperspectral images repository are investigated. The image analysis of «SpecTIR» and «AVIRIS» hyperspectrometers is carried out. In order to increase the compression ratio, the spectral bands approximation algorithms are proposed to provide fast access to individual bands. The effectiveness of the developed algorithms is investigated through computational experiments using real 16-bit hyperspectral images.en
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationWSCG 2015: poster papers proceedings: 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 1-4.en
dc.identifier.isbn978-80-86943-67-1
dc.identifier.issn2464-4617
dc.identifier.uriwscg.zcu.cz/WSCG2015/CSRN-2503.pdf
dc.identifier.urihttp://hdl.handle.net/11025/29558
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG 2015: poster papers proceedingsen
dc.rights© Václav Skala - Union Agencycs
dc.rights.accessopenAccessen
dc.subjecthierarchická kompresecs
dc.subjectpřiblížení obrazucs
dc.subjecthyperspektrální obrazcs
dc.subjectúložiště obrazucs
dc.subjectmaximální odchylkacs
dc.subjectspektrální pásmocs
dc.subject.translatedhierarchical compressionen
dc.subject.translatedimage approximationen
dc.subject.translatedhyperspectral imageen
dc.subject.translatedimage repositoryen
dc.subject.translatedmaximum deviationen
dc.subject.translatedspectral banden
dc.titleHyperspectral images repository using a hierarchical compressionen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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