Abstract
The article is devoted to the analysis of the efficiency of automated methods for distinguishing various types of objects on the earth's surface, which are both natural and rapidly occurring processes (fires, floods), as well as anthropogenic factors (construction, deforestation) in the synthesis of multi-time satellite images in ERDAS IMAGINE. Various methods were used to process synthesized multi-time images. Experiments to detect changes involved the use of the principal component method (in this case, components with less correlation were analyzed, which contain more information about changes), as well as correlation analysis of the synthesized image using the feature space. The implemented methods of detecting changes showed their efficiency, but none of them can give consistently high results when detecting changes in territories in automatic mode.
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