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

Behçet Uǧur Töreyin; Ozan Yilmaz; Yakup Murat Mert

doi:10.1109/WHISPERS.2014.8077562

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

Behçet Uǧur Töreyin
, Ozan Yilmaz
, Yakup Murat Mert

TÜBITAK UZAY
Cankaya University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

5 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2014 6th Workshop on Hyperspectral Image and Signal Processing
Ana bilgisayar yayını alt yazısı	Evolution in Remote Sensing, WHISPERS 2014
Yayınlayan	IEEE Computer Society
ISBN (Elektronik)	9781467390125
DOI'lar	https://doi.org/10.1109/WHISPERS.2014.8077562
Yayın durumu	Yayınlandı - 28 Haz 2014
Harici olarak yayınlandı	Evet
Etkinlik	6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014 - Lausanne, Switzerland Süre: 24 Haz 2014 → 27 Haz 2014

Yayın serisi

Adı	Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Hacim	2014-June
ISSN (Basılı)	2158-6276

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014
Ülke/Bölge	Switzerland
Şehir	Lausanne
Periyot	24/06/14 → 27/06/14

Bibliyografik not

Publisher Copyright:
© 2014 IEEE.

Belgeye Erişim

10.1109/WHISPERS.2014.8077562

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Töreyin, B. U., Yilmaz, O., & Mert, Y. M. (2014). Evaluation of on-board integer wavelet transform based spectral decorrelation schemes for lossless compression of hyperspectral images. In 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014 Makale 8077562 (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing; Hac. 2014-June). IEEE Computer Society. https://doi.org/10.1109/WHISPERS.2014.8077562

Töreyin, Behçet Uǧur ; Yilmaz, Ozan ; Mert, Yakup Murat. / Evaluation of on-board integer wavelet transform based spectral decorrelation schemes for lossless compression of hyperspectral images. 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014. IEEE Computer Society, 2014. (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing).

@inproceedings{d297a2ef0c814b40881a67f156384eed,

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

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.",

keywords = "AVIRIS images, hyperspectral data compression, hyperspectral imagery, integer-coefficient wavelet transforms, lossless compression, on-board compression schemes, spectral decorrelation",

author = "T{\"o}reyin, \{Beh{\c c}et Uǧur\} and Ozan Yilmaz and Mert, \{Yakup Murat\}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014 ; Conference date: 24-06-2014 Through 27-06-2014",

year = "2014",

month = jun,

day = "28",

doi = "10.1109/WHISPERS.2014.8077562",

language = "English",

series = "Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing",

publisher = "IEEE Computer Society",

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Töreyin, BU, Yilmaz, O & Mert, YM 2014, Evaluation of on-board integer wavelet transform based spectral decorrelation schemes for lossless compression of hyperspectral images. in 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014., 8077562, Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, hac. 2014-June, IEEE Computer Society, 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014, Lausanne, Switzerland, 24/06/14. https://doi.org/10.1109/WHISPERS.2014.8077562

Evaluation of on-board integer wavelet transform based spectral decorrelation schemes for lossless compression of hyperspectral images. / Töreyin, Behçet Uǧur; Yilmaz, Ozan; Mert, Yakup Murat.
2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014. IEEE Computer Society, 2014. 8077562 (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing; Hac. 2014-June).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Evaluation of on-board integer wavelet transform based spectral decorrelation schemes for lossless compression of hyperspectral images

AU - Töreyin, Behçet Uǧur

AU - Yilmaz, Ozan

AU - Mert, Yakup Murat

PY - 2014/6/28

Y1 - 2014/6/28

N2 - 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.

AB - 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.

KW - AVIRIS images

KW - hyperspectral data compression

KW - hyperspectral imagery

KW - integer-coefficient wavelet transforms

KW - lossless compression

KW - on-board compression schemes

KW - spectral decorrelation

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DO - 10.1109/WHISPERS.2014.8077562

M3 - Conference contribution

AN - SCOPUS:84991469400

T3 - Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing

BT - 2014 6th Workshop on Hyperspectral Image and Signal Processing

PB - IEEE Computer Society

T2 - 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014

Y2 - 24 June 2014 through 27 June 2014

ER -

Töreyin BU, Yilmaz O, Mert YM. Evaluation of on-board integer wavelet transform based spectral decorrelation schemes for lossless compression of hyperspectral images. In 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014. IEEE Computer Society. 2014. 8077562. (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing). doi: 10.1109/WHISPERS.2014.8077562

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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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