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Evaluation of on-board integer wavelet transform based spectral decorrelation schemes for lossless compression of hyperspectral images

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dc.contributor.author Töreyin, Behçet Uğur
dc.contributor.author Yılmaz, Ozan
dc.contributor.author Mert, Yakup Murat
dc.date.accessioned 2020-12-09T09:07:28Z
dc.date.available 2020-12-09T09:07:28Z
dc.date.issued 2014
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. tr_TR
dc.identifier.issn 2158-6276
dc.identifier.uri http://hdl.handle.net/20.500.12416/4320
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-DaubechiesFeauveau (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. tr_TR
dc.language.iso tur tr_TR
dc.relation.isversionof 10.1109/WHISPERS.2014.8077562 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject AVIRIS Images tr_TR
dc.subject Hyperspectral Data Compression tr_TR
dc.subject Hyperspectral Imagery tr_TR
dc.subject Integer-Coefficient Wavelet Transforms tr_TR
dc.subject Lossless Compression tr_TR
dc.subject On-Board Compression Schemes tr_TR
dc.subject Spectral Decorrelation tr_TR
dc.title Evaluation of on-board integer wavelet transform based spectral decorrelation schemes for lossless compression of hyperspectral images tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing tr_TR
dc.contributor.authorID 19325 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü tr_TR


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