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Lossy compression of hyperspectral images by using Enhanced Multivariance Products Representation (EMPR) method | IEEE Conference Publication | IEEE Xplore

Lossy compression of hyperspectral images by using Enhanced Multivariance Products Representation (EMPR) method


Abstract:

In preceding paper, a compression algorithm for hyperspectral images using a novel multivariate data decomposition method called Enhanced Multivariance Products Represent...Show More

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.
Date of Conference: 16-19 May 2016
Date Added to IEEE Xplore: 23 June 2016
ISBN Information:
Conference Location: Zonguldak, Turkey