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Proceedings Paper

Current status of ultraspectral sounder data compression
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Paper Abstract

This paper presents current status of lossless compression of ultraspectral sounder data. The lossless compression results from the transform-based (e.g. JPEG2000, 3D SPIHT, and Lossless PCA), prediction-based (e.g. JPEG-LS, CALIC, and linear prediction using OOMP), and clustering-based (e.g. PVQ, DPVQ, PPVQ and FPVQ) methods are presented. The ultraspectral sounder data features strong correlations in disjoint spectral regions affected by the same type of absorbing gases. Some robust data preprocessing scheme (e.g. BAR) is also demonstrated to improve compression gains of existing state-of-the-art compression methods such as JPEG2000, 3D SPIHT, JPEG-LS, and CALIC.

Paper Details

Date Published: 18 August 2005
PDF: 14 pages
Proc. SPIE 5889, Satellite Data Compression, Communications, and Archiving, 588906 (18 August 2005); doi: 10.1117/12.618909
Show Author Affiliations
Bormin Huang, CIMSS, Univ. of Wisconsin-Madison (United States)
Alok Ahuja, CIMSS, Univ. of Wisconsin-Madison (United States)
Hung-Lung Huang, CIMSS, Univ. of Wisconsin-Madison (United States)
Timothy J. Schmit, NOAA/NESDIS (United States)
Roger W. Heymann, 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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