Fixed Data Rate Wavelet Compressor For Multispectral Satellite Systems
Catherine Lambert-Nebout, D. Lebedeff, Christophe Latry, Jrome Fraleu, Gilles A. Moury · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2002
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.