Çokdegiskenliligi Yükseltilmis Çarpimlar Gösterimi (ÇYÇG) yöntemi ile hiperspektral görüntülerin kayipli sikistirilmasi

Aleksei Sukhanov; Suha Tuna; Behcet Ugur Toreyin

doi:10.1109/SIU.2016.7496142

Çokdegiskenliligi Yükseltilmis Çarpimlar Gösterimi (ÇYÇG) yöntemi ile hiperspektral görüntülerin kayipli sikistirilmasi

Translated title of the contribution: Lossy compression of hyperspectral images by using Enhanced Multivariance Products Representation (EMPR) method

Aleksei Sukhanov, Suha Tuna, Behcet Ugur Toreyin

Informatics Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

In preceding paper, a compression algorithm for hyperspectral images using a novel multivariate data decomposition method called Enhanced Multivariance Products Representation (EMPR) is developed. The test results obtained by performing some EMPR approximations of different orders and their qualities are reported. In order to improve performance, EMPR approach is applied to high-subband of hyperspectral data which is spectrally decorrelated using Haar wavelet transform. Low subbands are losslessly compressed using JPEG2000 Proposed methods are tested with AVIRIS data, promising compression vs. Peak-Signal-to-Noise Ratios (PSNR) are obtained.

Translated title of the contribution	Lossy compression of hyperspectral images by using Enhanced Multivariance Products Representation (EMPR) method
Original language	Turkish
Title of host publication	2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1925-1928
Number of pages	4
ISBN (Electronic)	9781509016792
DOIs	https://doi.org/10.1109/SIU.2016.7496142
Publication status	Published - 20 Jun 2016
Event	24th Signal Processing and Communication Application Conference, SIU 2016 - Zonguldak, Turkey Duration: 16 May 2016 → 19 May 2016

Publication series

Name	2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

Conference

Conference	24th Signal Processing and Communication Application Conference, SIU 2016
Country/Territory	Turkey
City	Zonguldak
Period	16/05/16 → 19/05/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Access to Document

10.1109/SIU.2016.7496142

Cite this

Sukhanov, A., Tuna, S., & Toreyin, B. U. (2016). Çokdegiskenliligi Yükseltilmis Çarpimlar Gösterimi (ÇYÇG) yöntemi ile hiperspektral görüntülerin kayipli sikistirilmasi. In 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings (pp. 1925-1928). Article 7496142 (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2016.7496142

Sukhanov, Aleksei ; Tuna, Suha ; Toreyin, Behcet Ugur. / Çokdegiskenliligi Yükseltilmis Çarpimlar Gösterimi (ÇYÇG) yöntemi ile hiperspektral görüntülerin kayipli sikistirilmasi. 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1925-1928 (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings).

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title = "{\c C}okdegiskenliligi Y{\"u}kseltilmis {\c C}arpimlar G{\"o}sterimi ({\c C}Y{\c C}G) y{\"o}ntemi ile hiperspektral g{\"o}r{\"u}nt{\"u}lerin kayipli sikistirilmasi",

abstract = "In preceding paper, a compression algorithm for hyperspectral images using a novel multivariate data decomposition method called Enhanced Multivariance Products Representation (EMPR) is developed. The test results obtained by performing some EMPR approximations of different orders and their qualities are reported. In order to improve performance, EMPR approach is applied to high-subband of hyperspectral data which is spectrally decorrelated using Haar wavelet transform. Low subbands are losslessly compressed using JPEG2000 Proposed methods are tested with AVIRIS data, promising compression vs. Peak-Signal-to-Noise Ratios (PSNR) are obtained.",

keywords = "Compression, Decomposition, Enhanced Multivariance Products Representation, Haar Wavelet, Hyperspectral Image",

author = "Aleksei Sukhanov and Suha Tuna and Toreyin, {Behcet Ugur}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 24th Signal Processing and Communication Application Conference, SIU 2016 ; Conference date: 16-05-2016 Through 19-05-2016",

year = "2016",

month = jun,

day = "20",

doi = "10.1109/SIU.2016.7496142",

language = "T{\"u}rk{\c c}e",

series = "2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1925--1928",

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Sukhanov, A, Tuna, S & Toreyin, BU 2016, Çokdegiskenliligi Yükseltilmis Çarpimlar Gösterimi (ÇYÇG) yöntemi ile hiperspektral görüntülerin kayipli sikistirilmasi. in 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings., 7496142, 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1925-1928, 24th Signal Processing and Communication Application Conference, SIU 2016, Zonguldak, Turkey, 16/05/16. https://doi.org/10.1109/SIU.2016.7496142

Çokdegiskenliligi Yükseltilmis Çarpimlar Gösterimi (ÇYÇG) yöntemi ile hiperspektral görüntülerin kayipli sikistirilmasi. / Sukhanov, Aleksei; Tuna, Suha ; Toreyin, Behcet Ugur.
2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1925-1928 7496142 (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Çokdegiskenliligi Yükseltilmis Çarpimlar Gösterimi (ÇYÇG) yöntemi ile hiperspektral görüntülerin kayipli sikistirilmasi

AU - Sukhanov, Aleksei

AU - Tuna, Suha

AU - Toreyin, Behcet Ugur

PY - 2016/6/20

Y1 - 2016/6/20

N2 - In preceding paper, a compression algorithm for hyperspectral images using a novel multivariate data decomposition method called Enhanced Multivariance Products Representation (EMPR) is developed. The test results obtained by performing some EMPR approximations of different orders and their qualities are reported. In order to improve performance, EMPR approach is applied to high-subband of hyperspectral data which is spectrally decorrelated using Haar wavelet transform. Low subbands are losslessly compressed using JPEG2000 Proposed methods are tested with AVIRIS data, promising compression vs. Peak-Signal-to-Noise Ratios (PSNR) are obtained.

AB - In preceding paper, a compression algorithm for hyperspectral images using a novel multivariate data decomposition method called Enhanced Multivariance Products Representation (EMPR) is developed. The test results obtained by performing some EMPR approximations of different orders and their qualities are reported. In order to improve performance, EMPR approach is applied to high-subband of hyperspectral data which is spectrally decorrelated using Haar wavelet transform. Low subbands are losslessly compressed using JPEG2000 Proposed methods are tested with AVIRIS data, promising compression vs. Peak-Signal-to-Noise Ratios (PSNR) are obtained.

KW - Compression

KW - Decomposition

KW - Enhanced Multivariance Products Representation

KW - Haar Wavelet

KW - Hyperspectral Image

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U2 - 10.1109/SIU.2016.7496142

DO - 10.1109/SIU.2016.7496142

M3 - Konferans katkısı

AN - SCOPUS:84982815603

T3 - 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

SP - 1925

EP - 1928

BT - 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th Signal Processing and Communication Application Conference, SIU 2016

Y2 - 16 May 2016 through 19 May 2016

ER -

Sukhanov A, Tuna S , Toreyin BU. Çokdegiskenliligi Yükseltilmis Çarpimlar Gösterimi (ÇYÇG) yöntemi ile hiperspektral görüntülerin kayipli sikistirilmasi. In 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1925-1928. 7496142. (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings). doi: 10.1109/SIU.2016.7496142

Çokdegiskenliligi Yükseltilmis Çarpimlar Gösterimi (ÇYÇG) yöntemi ile hiperspektral görüntülerin kayipli sikistirilmasi

Abstract

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Bibliographical note

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