Special Section on Satellite Data Compression

Lossy and lossless compression of MERIS hyperspectral images with exogenous quasi-optimal spectral transforms

[+] Author Affiliations
Isidore Paul Akam Bita

LUXSPACE Sarl, Chateau de Betzdorf, Betzdorf, L-6815 Luxembourg

Michel Barret

SUPELEC, Information, Multimodality, and Signal Team, 2 rue Edouard Belin, Metz, 57070 France

Florio Dalla Vedova

LUXSPACE Sarl, Chateau de Betzdorf, Betzdorf, L-6815 Luxembourg

Jean-Louis Gutzwiller

SUPELEC, Information, Multimodality, and Signal Team, 2 rue Edouard Belin, Metz, 57070 France

J. Appl. Remote Sens. 4(1), 041790 (July 14, 2010). doi:10.1117/1.3474980
History: Received October 30, 2009; Revised January 21, 2010; Accepted April 27, 2010; July 14, 2010; Online July 14, 2010
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Abstract

Our research focuses on reducing complexity of hyperspectral image codecs based on transform and/or subband coding, so they can be on-board a satellite. It is well-known that the Karhunen Loeve transform (KLT) can be sub-optimal for non Gaussian data. However, it is generally recommended as the best calculable coding transform in practice. Now, for a compression scheme compatible with both the JPEG2000 Part2 standard and the CCSDS recommendations for onboard satellite image compression, the concept and computation of optimal spectral transforms (OST), at high bit-rates, were carried out, under low restrictive hypotheses. These linear transforms are optimal for reducing spectral redundancies of multi- or hyper-spectral images, when the spatial redundancies are reduced with a fixed 2-D discrete wavelet transform. The problem of OST is their heavy computational cost. In this paper we present the performances in coding of a quasi-optimal spectral transform, called exogenous OrthOST, obtained by learning an orthogonal OST on a sample of hyperspectral images from the spectrometer MERIS. Moreover, we compute an integer variant of OrthOST for lossless compression. The performances are compared to the ones of the KLT in both lossy and lossless compressions. We observe good performances of the exogenous OrthOST.

© 2010 Society of Photo-Optical Instrumentation Engineers

Citation

Isidore Paul Akam Bita ; Michel Barret ; Florio Dalla Vedova and Jean-Louis Gutzwiller
"Lossy and lossless compression of MERIS hyperspectral images with exogenous quasi-optimal spectral transforms", J. Appl. Remote Sens. 4(1), 041790 (July 14, 2010). ; http://dx.doi.org/10.1117/1.3474980


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