Abstract
The article is devoted to the development of mathematical models based on combining images obtained by remote sensing means with different spatial and radiometric resolutions. An analysis of modern means of remote sensing, which form images that are fixed under the same positional conditions of projection, in different spectral ranges of radiation, was carried out. Images formed in a wide spectral range and have a higher linear resolution than images formed in narrower ranges, but the latter contain spectral information. An applied model of combining images captured in different spectral ranges using the pyramidal wavelet transform has been developed. The optimal model of decorrelation of spectral channels of multispectral images based on signal entropy was determined.
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