Abstract
A version of the transform-based coding compression method for remote sensing hyperspectral data is proposed. New version is based on the calculation of a separate quantization matrix for each image and the preliminary removal of low-frequency components in the input data. Larger compression ratios are shown in comparison with the layered JPEG algorithm with the same mean square recovery error.
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