The Lossless Compression Algorithm of Hyperspectral Aerospace Images With Correlation and Bands Grouping

The existing solutions of the problem of lossless compression for hyperspectral aerospace images are analyzed. Based on them, a compression algorithm is proposed taking into account interbands correlation, which is characterized by data transformation with a decrease in the range of values of the initial values by forming a set of groups of channels with a high intra-group correlation of the corresponding pairs with the selection of optimal parameters. The results of comparative experiments of the proposed compression algorithm on AVIRIS remote sensing system data are presented in comparison with the most common archivers Winrar, 7Z, JPEG Lossless with varying compression ratio, image geometric size, number of channels, number of channel groups. At the same time, their parameters are found that allow obtaining the best results in the degree of compression.