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This article reveals the features of the channels of hyperspectral aerospace images. There has been suggested the algorithm with interchannel finding of the best channel of intrabands correlation and the use of indexed lossless encoding, which allows to reduce the dimensions of the image channels and to convert them before compression. Also the article shows the results of experiments in comparison with universal archivers such as Winrar, 7Z, and JPEG Lossless according to the compression degree and several parameters: the interchannel correlation, geometric image size, number of channels, number of channel groups. Furthermore, the author of the article studies the options of compression with the search of the main channel of the correlation and without it; these options demonstrate the increase in compression degree due to differential transformations, which allow to store the information in a more compressed form.

The Compression Algorithm of Hyperspectral Aerospace Images with Use of Mathematical Processing and Intrabands Correlation