Lossless Hyperspectral Image Compression Using Wavelet Transform Based Spectral Decorrelation
| dc.contributor.author | Yilmaz, Ozan | |
| dc.contributor.author | Mert, Yakup Murat | |
| dc.contributor.author | Turk, Fethi | |
| 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 | 2020-04-21T13:57:20Z | |
| dc.date.accessioned | 2025-09-18T12:10:20Z | |
| dc.date.available | 2020-04-21T13:57:20Z | |
| dc.date.available | 2025-09-18T12:10:20Z | |
| dc.date.issued | 2015 | |
| dc.description | Aselsan; e al.; HAVELSAN; Roketsan; TAI; TURKSAT | en_US |
| 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. 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 computational complexity and CR. 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. Two-dimensional images corresponding to each band is compressed using JPEG-LS algorithm. 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 | Toreyin, Behcet Ugur...et al., "Lossless Hyperspectral Image Compression Using Wavelet Transform Based Spectral Decorrelation", 7th International Conference on Recent Advances in Space Technologies (RAST), pp. 250-253, (2015). | en_US |
| dc.identifier.doi | 10.1109/RAST.2015.7208350 | |
| dc.identifier.isbn | 9781479976973 | |
| dc.identifier.scopus | 2-s2.0-84959923477 | |
| dc.identifier.uri | https://doi.org/10.1109/RAST.2015.7208350 | |
| dc.identifier.uri | https://hdl.handle.net/123456789/11687 | |
| dc.language.iso | en | en_US |
| dc.publisher | Ieee | en_US |
| dc.relation.ispartof | 7th International Conference on Recent Advances in Space Technologies (RAST) -- JUN 16-19, 2015 -- Istanbul, TURKEY | en_US |
| 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.subject | Jpeg-Ls | en_US |
| dc.title | Lossless Hyperspectral Image Compression Using Wavelet Transform Based Spectral Decorrelation | en_US |
| dc.title | Lossless Hyperspectral Image Compression Using Wavelet Transform Based Spectral Decorrelation | 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.scopusid | 55633935900 | |
| gdc.author.wosid | Toreyin, Behcet Ugur/A-6780-2012 | |
| gdc.description.department | Çankaya University | en_US |
| gdc.description.departmenttemp | [Toreyin, Behcet Ugur] Cankaya Univ, EE Muh Bol, TR-06790 Ankara, Turkey; [Toreyin, Behcet Ugur; Yilmaz, Ozan; Turk, Fethi] TUBITAK UZAY, TR-06531 Ankara, Turkey; [Mert, Yakup Murat] TUBITAK ILTAREN, TR-06800 Ankara, Turkey | en_US |
| gdc.description.endpage | 253 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 250 | en_US |
| gdc.description.woscitationindex | Conference Proceedings Citation Index - Science | |
| gdc.identifier.openalex | W1481311969 | |
| gdc.identifier.wos | WOS:000381627000041 | |
| gdc.openalex.fwci | 1.46115637 | |
| gdc.openalex.normalizedpercentile | 0.87 | |
| gdc.opencitations.count | 6 | |
| gdc.plumx.crossrefcites | 1 | |
| gdc.plumx.mendeley | 9 | |
| gdc.plumx.scopuscites | 12 | |
| gdc.scopus.citedcount | 12 | |
| gdc.wos.citedcount | 2 | |
| relation.isAuthorOfPublication | 31d067df-3d94-4058-a635-943b70f82ea4 | |
| relation.isAuthorOfPublication.latestForDiscovery | 31d067df-3d94-4058-a635-943b70f82ea4 | |
| relation.isOrgUnitOfPublication | 0b9123e4-4136-493b-9ffd-be856af2cdb1 | |
| relation.isOrgUnitOfPublication | 43797d4e-4177-4b74-bd9b-38623b8aeefa | |
| relation.isOrgUnitOfPublication | a8b0a996-7c01-41a1-85be-843ba585ef45 | |
| relation.isOrgUnitOfPublication.latestForDiscovery | 0b9123e4-4136-493b-9ffd-be856af2cdb1 |