Lossless hyperspectral image compression using wavelet transform based spectral decorrelation

Behcet Ugur Toreyin, Ozan Yilmaz, Yakup Murat Mert, Fethi Turk

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

12 Atıf (Scopus)

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 dilİngilizce
Ana bilgisayar yayını başlığıRAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies
EditörlerM. Fevzi Unal, Suleyman Basturk, Okyay Kaynak, Abdurrahman Hacioglu, Fuat Ince
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar251-254
Sayfa sayısı4
ISBN (Elektronik)9781467377607
DOI'lar
Yayın durumuYayınlandı - 17 Ağu 2015
Harici olarak yayınlandıEvet
Etkinlik7th International Conference on Recent Advances in Space Technologies, RAST 2015 - Istanbul, Turkey
Süre: 16 Haz 201519 Haz 2015

Yayın serisi

AdıRAST 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
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot16/06/1519/06/15

Bibliyografik not

Publisher Copyright:
© 2015 IEEE.

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