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Proceedings Paper

Optimal granule ordering for lossless compression of ultraspectral sounder data
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Paper Abstract

We propose a novel method for lossless compression of ultraspectral sounder data. The method utilizes spectral linear prediction and the optimal ordering of the granules. The prediction coefficients for a granule are computed using prediction coefficients that are optimized using a different granule. The optimal ordering problem is solved using Edmonds's algorithm for optimume branching. The results show that the proposed method outperforms previous methods on publicly available NASA AIRS data.

Paper Details

Date Published: 5 September 2008
PDF: 8 pages
Proc. SPIE 7084, Satellite Data Compression, Communication, and Processing IV, 708404 (5 September 2008); doi: 10.1117/12.795260
Show Author Affiliations
Jarno Mielikainen, Univ. of Kuopio (Finland)
Pekka Toivanen, Univ. of Kuopio (Finland)


Published in SPIE Proceedings Vol. 7084:
Satellite Data Compression, Communication, and Processing IV
Bormin Huang; Roger W. Heymann; Joan Serra-Sagristà, Editor(s)

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