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Proceedings Paper

Hyperspectral compression using spectral signature matching with error encoding
Author(s): Joseph P. Reitz; Bernard V. Brower; Austin Lan
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Paper Abstract

Hyperspectral image data present increasing challenges to current transmission bandwidth and storage capabilities. The large amounts of spectrally redundant information present in these data make hyperspectral compression techniques extremely attractive. This paper presents a hyperspectral compression algorithm which was designed to maintain the spectral accuracy needed for standard hyperspectral analytical techniques. Spectral accuracy is maintained through an approach that extracts and separately codes the hyperspectral signatures present in each pixel.

Paper Details

Date Published: 6 November 1996
PDF: 10 pages
Proc. SPIE 2821, Hyperspectral Remote Sensing and Applications, (6 November 1996); doi: 10.1117/12.257185
Show Author Affiliations
Joseph P. Reitz, Eastman Kodak Co. (United States)
Bernard V. Brower, Eastman Kodak Co. (United States)
Austin Lan, Eastman Kodak Co. (United States)


Published in SPIE Proceedings Vol. 2821:
Hyperspectral Remote Sensing and Applications
Sylvia S. Shen, Editor(s)

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