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Proceedings Paper

Fixed-data-rate wavelet compressor for multispectral satellite systems
Author(s): Catherine Lambert-Nebout; Dimitri Lebedeff; Christophe Latry; Jérome Fraleu; Gilles A. Moury
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Paper Abstract

Future high resolution instruments planned by CNES for space remote sensing missions will lead to higher bit rates because of the increase in both resolution and number of bits per pixel, not compensated by the reduced swath. Data compression is then needed, with compression ratio goals always higher and with artifacts remaining unnoticeable. Up to now studied algorithms are based on intra-band coding and utilize the intra-image or spatial correlation. The spaceborne earth observation instruments have however several spectral channels (one panchromatic band and at least 3 spectral bands) and since such algorithms process independently each channel, the inter-image or spectral correlation is ignored. For optimum compression performance, multispectral algorithms have to be studied in order to exploit both spectral and spatial correlation. This paper proposes a low complexity and flexible fixed data rate compression algorithm for multispectral imagery.

Paper Details

Date Published: 21 November 2002
PDF: 12 pages
Proc. SPIE 4790, Applications of Digital Image Processing XXV, (21 November 2002); doi: 10.1117/12.455379
Show Author Affiliations
Catherine Lambert-Nebout, CNES (France)
Dimitri Lebedeff, Alcatel Space Industries (France)
Christophe Latry, CNES (France)
Jérome Fraleu, Alcatel Space Industries (France)
Gilles A. Moury, CNES (France)


Published in SPIE Proceedings Vol. 4790:
Applications of Digital Image Processing XXV
Andrew G. Tescher, Editor(s)

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