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The paper presents the intermediate results of studies devoted to solving a number of problems of processing full-color and multispectral images of Earth remote sensing. The results of experiments on the detection of target regions of interest are presented using the method of spectrographic "shading" and neural network clustering; solved the problem of detecting complex rigid objects. The implementation of the algorithm for converting multispectral images into halftone and color images is proposed. All programs are designed to operate on a heterogeneous computing system.