Hyperspectral compression using spectral signature matching with error encoding

Joseph P. Reitz; Bernard V. Brower; Austin Lan

doi:10.1117/12.257185

6 November 1996 Hyperspectral compression using spectral signature matching with error encoding

Joseph P. Reitz, Bernard V. Brower, Austin Lan

Proceedings Volume 2821, Hyperspectral Remote Sensing and Applications; (1996) https://doi.org/10.1117/12.257185
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

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.

Citation Download Citation

Joseph P. Reitz, Bernard V. Brower, and Austin Lan "Hyperspectral compression using spectral signature matching with error encoding", Proc. SPIE 2821, Hyperspectral Remote Sensing and Applications, (6 November 1996); https://doi.org/10.1117/12.257185

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