Classification of objects of natural hyperspectral images

This article describes the process of determination of the classification of objects or zones in a hyperspectral image by classes: forest, water, earth. There are given methods and algorithms for finding a relation of the member to a particular class. Further prospects for the development of the algorithm on large volumes of data and the possibilities for improving the algorithm are described.