Optimal granule ordering for lossless compression of ultraspectral sounder data

Jarno Mielikainen; Pekka Toivanen

doi:10.1117/12.795260

5 September 2008 Optimal granule ordering for lossless compression of ultraspectral sounder data

Jarno Mielikainen, Pekka Toivanen

Proceedings Volume 7084, Satellite Data Compression, Communication, and Processing IV; 708404 (2008) https://doi.org/10.1117/12.795260
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

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.

Citation Download Citation

Jarno Mielikainen and Pekka Toivanen "Optimal granule ordering for lossless compression of ultraspectral sounder data", Proc. SPIE 7084, Satellite Data Compression, Communication, and Processing IV, 708404 (5 September 2008); https://doi.org/10.1117/12.795260

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