Hyperspectral compression using spectral signature matching with error encoding

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.