Algorithms of the Objects’ Identification According to Hyperspectral Shooting of the „Resource-P' Spacecraft

The identification algorithms, which carry out the objects’ identification of the Earth’s surface by means of their hyperspectral features’ analysis, received on the base of the processed space images from the „Resource-P” spacecrafts with application of the similarity measures, have been considered. The identification algorithms on the base of the Euclidean distance similarity measure, the angular similarity measure and the fuzzy similarity measure have been applied. The use expediency of the fuzzy linear regression in the algorithm of objects’ hyperspectral features’ identification has been shown. The results of the hyperspectral information processing with using of the offered algorithms have been presented.