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Evaluation of On-Board Integer Wavelet Transform Based Spectral Decorrelation Schemes for Lossless Compression of Hyperspectral Images

dc.contributor.author Yilmaz, Ozan
dc.contributor.author Mert, Yakup Murat
dc.contributor.author Toreyin, Behcet Ugur
dc.contributor.authorID 19325 tr_TR
dc.contributor.other 01. Çankaya Üniversitesi
dc.contributor.other 06. Mühendislik Fakültesi
dc.contributor.other 06.03. Elektrik-Elektronik Mühendisliği
dc.date.accessioned 2020-12-09T09:07:28Z
dc.date.accessioned 2025-09-18T16:08:18Z
dc.date.available 2020-12-09T09:07:28Z
dc.date.available 2025-09-18T16:08:18Z
dc.date.issued 2014
dc.description Toreyin, Behcet Ugur/0000-0003-4406-2783 en_US
dc.description.abstract Integer-coefficient Discrete Wavelet Transformation (DWT) filters widely used in the literature are implemented and investigated as spectral decorrelator for on-board lossless hyperspectral image compression. As the performance of spectral decorrelation step has direct impact on the compression ratio (CR), it is important to employ the most convenient spectral decorrelator in terms of low computational complexity and high CR. Extensive tests using AVIRIS image data set are carried out and CRs corresponding to various subband decomposition levels are presented within a lossless hyperspectral compression framework. Results suggest that Cohen-Daubechies-Feauveau (CDF) 9/7 integer-coefficient wavelet transform with five levels of spectral subband decomposition would be an efficient spectral decorrelator for on-board lossless hyperspectral image compression. en_US
dc.identifier.citation Töreyin, Behçet Uğur; Yılmaz, Ozan; Mert, Yakup Murat. "Evaluation of on-board integer wavelet transform based spectral decorrelation schemes for lossless compression of hyperspectral images", 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Lausanne: Switzerland, 2014. en_US
dc.identifier.doi 10.1109/WHISPERS.2014.8077562
dc.identifier.isbn 9781467390125
dc.identifier.issn 2158-6268
dc.identifier.scopus 2-s2.0-84991469400
dc.identifier.uri https://doi.org/10.1109/WHISPERS.2014.8077562
dc.identifier.uri https://hdl.handle.net/20.500.12416/15018
dc.language.iso en en_US
dc.publisher Ieee en_US
dc.relation.ispartof 6th Workshop on Hyperspectral Image and Signal Processing - Evolution in Remote Sensing (WHISPERS) -- JUN 24-27, 2014 -- Lausanne, SWITZERLAND en_US
dc.relation.ispartofseries Workshop on Hyperspectral Image and Signal Processing
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Hyperspectral Imagery en_US
dc.subject Lossless Compression en_US
dc.subject Integer-Coefficient Wavelet Transforms en_US
dc.subject Hyperspectral Data Compression en_US
dc.subject Aviris Images en_US
dc.subject Spectral Decorrelation en_US
dc.subject On-Board Compression Schemes en_US
dc.title Evaluation of On-Board Integer Wavelet Transform Based Spectral Decorrelation Schemes for Lossless Compression of Hyperspectral Images en_US
dc.title Evaluation of on-board integer wavelet transform based spectral decorrelation schemes for lossless compression of hyperspectral images tr_TR
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.id Toreyin, Behcet Ugur/0000-0003-4406-2783
gdc.author.institutional Töreyin, Behçet Uğur
gdc.author.scopusid 9249500700
gdc.author.scopusid 48762305800
gdc.author.scopusid 48761586400
gdc.author.wosid Toreyin, Behcet Ugur/A-6780-2012
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Toreyin, Behcet Ugur; Yilmaz, Ozan; Mert, Yakup Murat] TUBITAK UZAY, Ankara, Turkey; [Toreyin, Behcet Ugur] Cankaya Univ, Ankara, Turkey en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.volume 2014-June en_US
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
gdc.identifier.openalex W2766663863
gdc.identifier.wos WOS:000428980100080
gdc.openalex.fwci 0.24114154
gdc.openalex.normalizedpercentile 0.66
gdc.opencitations.count 3
gdc.plumx.mendeley 8
gdc.plumx.scopuscites 4
gdc.scopus.citedcount 4
gdc.wos.citedcount 1
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