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Proceedings Paper

On-Board Data Compression For Advanced Landsat
Author(s): Carl Schueler; Chris de Boer; Barbara Marks; Mark Stegall
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Paper Abstract

Advanced Landsat Sensor (ALS) technology has produced requirements for increasing data rates that may exceed space to ground data link capacity, so that identification of appropriate data compression techniques is of interest. Unlike many other applications, Landsat requires information lossless compression. DPCM, Interpolated DPCM, and error-correcting successive-difference PCM (ESPCM) are compared, leading to the conclusion that ESPCM is a practical, real-time (on-board) compression algorithm. ESPCM offers compression ratios approaching DPCM with no information loss and little or no increase in complexity. Moreover, adaptive ESPCM (AESPCM) yields an average compression efficiency of 84% relative to successive difference entropy, and 97% relative to scene entropy. Compression ratios vary from a low of 1.18 for a high entropy (6.64 bits/pixel) mountain scene to a high of 2.38 for low entropy (2.54 bits/pixel) ocean data. The weighted average lossless compression ratio to be expected, using a representative selection of Landsat Thematic Mapper eight-bit data as a basis, appears to be approximately 2.1, for an average compressed data rate of about 3.7 bits/pixel.

Paper Details

Date Published: 11 July 1985
PDF: 12 pages
Proc. SPIE 0534, Architectures and Algorithms for Digital Image Processing II, (11 July 1985); doi: 10.1117/12.946573
Show Author Affiliations
Carl Schueler, Hughes Santa Barbara Research Center (United States)
Chris de Boer, Hughes Santa Barbara Research Center (United States)
Barbara Marks, Hughes Santa Barbara Research Center (United States)
Mark Stegall, Hughes Santa Barbara Research Center (United States)


Published in SPIE Proceedings Vol. 0534:
Architectures and Algorithms for Digital Image Processing II
Francis J. Corbett, Editor(s)

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