Özet
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 onboard lossless hyperspectral image compression.
Orijinal dil | İngilizce |
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Ana bilgisayar yayını başlığı | RAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies |
Editörler | M. Fevzi Unal, Suleyman Basturk, Okyay Kaynak, Abdurrahman Hacioglu, Fuat Ince |
Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
Sayfalar | 251-254 |
Sayfa sayısı | 4 |
ISBN (Elektronik) | 9781467377607 |
DOI'lar | |
Yayın durumu | Yayınlandı - 17 Ağu 2015 |
Harici olarak yayınlandı | Evet |
Etkinlik | 7th International Conference on Recent Advances in Space Technologies, RAST 2015 - Istanbul, Turkey Süre: 16 Haz 2015 → 19 Haz 2015 |
Yayın serisi
Adı | RAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies |
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???event.eventtypes.event.conference??? | 7th International Conference on Recent Advances in Space Technologies, RAST 2015 |
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Ülke/Bölge | Turkey |
Şehir | Istanbul |
Periyot | 16/06/15 → 19/06/15 |
Bibliyografik not
Publisher Copyright:© 2015 IEEE.