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Proceedings Paper

Lossless compression of 3D ultraspectral sounder data using the prediction-based lower triangular transform
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Paper Abstract

The Karhunen-Loeve transform (KLT) is the optimal unitaty transform that yields the maximum coding gain. The prediction-based lower triangular transform (PLT) features the same decorrelation and coding gain properties as the KLT, but with lower complexity. Unlike KLT, PLT has the perfect reconstruction property which allows its use for lossless compression. In this paper we apply PLT to lossless compression of the ultraspectral sounder data. The experiment on the standard ultraspectral test dataset of 10 AIRS digital count granules shows that the PLT compression outperforms JPEG2000, SPIHT, JPEG-LS, and CCSDS IDC 5/3.

Paper Details

Date Published: 1 September 2006
PDF: 8 pages
Proc. SPIE 6300, Satellite Data Compression, Communications, and Archiving II, 630003 (1 September 2006); doi: 10.1117/12.682440
Show Author Affiliations
Shih-Chieh Wei, Tamkang Univ. (Taiwan)
Bormin Huang, Univ. of Wisconsin-Madison (United States)
Alok Ahuja, Univ. of Wisconsin-Madison (United States)

Published in SPIE Proceedings Vol. 6300:
Satellite Data Compression, Communications, and Archiving II
Roger W. Heymann; Charles C. Wang; Timothy J. Schmit, Editor(s)

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