论文信息 - Efficient spatial-spectral compression of hyperspectral data

Efficient spatial-spectral compression of hyperspectral data

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.

Mark R. Pickering | Michael J. Ryan | M. Pickering | M. Ryan

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