CNES studies of on-board compression for multispectral and hyperspectral images

Carole Thiebaut; Emmanuel Christophe; Dimitri Lebedeff; Christophe Latry

doi:10.1117/12.734186

19 September 2007 CNES studies of on-board compression for multispectral and hyperspectral images

Carole Thiebaut, Emmanuel Christophe, Dimitri Lebedeff, Christophe Latry

Proceedings Volume 6683, Satellite Data Compression, Communications, and Archiving III; 668305 (2007) https://doi.org/10.1117/12.734186
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

Future high resolution instruments planned by CNES for space remote sensing missions will lead to higher bit rates because of the increase in resolution, dynamic range and number of spectral channels for multispectral (up to 16 bands) and hyperspectral (hundreds of bands) imagery. Lossy data compression is then needed, with compression ratio goals always higher and with low-complexity algorithm. For optimum compression performance of such data, algorithms must exploit both spectral and spatial correlation. In the case of multispectral images, CNES (in cooperation with Thales Alenia Space, hereafter TAS) studies have led to an algorithm using a fixed transform to decorrelate the spectral bands, the CCSDS codec compresses each decorrelated band using a suitable multispectral rate allocation procedure. This low-complexity decorrelator is adapted to hardware implementation on-board satellite and is under development. In the case of hyperspectral images, CNES (in cooperation with TAS/TeSA/ONERA) studies have led to a full wavelet compression system followed by zerotree coding methods adapted to this decomposition. We are investigating other preprocessors such as Independent Component Analysis which could be used in both approaches. CNES also participates to the new CCSDS Multispectral and Hyperspectral Data Compression Working Group.

Citation Download Citation

Carole Thiebaut, Emmanuel Christophe, Dimitri Lebedeff, and Christophe Latry "CNES studies of on-board compression for multispectral and hyperspectral images", Proc. SPIE 6683, Satellite Data Compression, Communications, and Archiving III, 668305 (19 September 2007); https://doi.org/10.1117/12.734186

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