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Proceedings Paper

Adaptive clustering for hyperspectral sounder data compression
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Paper Abstract

In this paper, which is part of an ongoing sequence of papers devoted to the subject of efficient noise-tolerant lossless compression of satellite data for transmission, we describe an algorithm for this purpose which effectively addresses the above criteria. Our algorithm exhibit the potential to achieve noise-tolerant compression ratios averaging 3.2 : 1. An earlier approach, which we presented at Third GOES-R User Conference in May of 2004, was the first such method to break the 3 to 1 compression barrier for this class of data.

Paper Details

Date Published: 18 August 2005
PDF: 10 pages
Proc. SPIE 5889, Satellite Data Compression, Communications, and Archiving, 588907 (18 August 2005); doi: 10.1117/12.618085
Show Author Affiliations
I. Gladkova, City College of New York, NOAA/CREST (United States)
L. Roytman, City College of New York, NOAA/CREST (United States)
M. Goldberg, NOAA/NESDIS (United States)


Published in SPIE Proceedings Vol. 5889:
Satellite Data Compression, Communications, and Archiving
Bormin Huang; Roger W. Heymann; Charles C. Wang, Editor(s)

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