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Efficient spatial-spectral compression of hyperspectral data

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2 Author(s)
Pickering, M.R. ; Sch. of Electr. Eng., New South Wales Univ., Kensington, NSW, Australia ; Ryan, M.J.

Mean-normalized vector quantization (M-NVQ) has been demonstrated to be the preferred technique for lossless compression of hyperspectral data. In this paper, a jointly optimized spatial M-NVQ/spectral DCT technique is shown to produce compression ratios significantly better than those obtained by the optimized spatial M-NVQ technique alone

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Geoscience and Remote Sensing, IEEE Transactions on  (Volume:39 ,  Issue: 7 )