The problem of interpretation of spatial data on satellite images is considered in the article. It is proposed to use the decomposition of images by topological features to highlight objects of interest, global and detailed structures on satellite images. The description of the method and the features of its implementation for creating a software product with effective algorithms for processing big data are given. The functionality of the developed software, which includes the classification of objects on satellite images, segmentation, binarization, noise removal is described. It is shown that these algorithms are built on a single theoretical basis in the form of a topological decomposition. Examples of using the program for segmentation and binarization of satellite images from urban neighborhoods are demonstrated.

Sergey V. Eremeev
Candidate of Technical Sciences, Associate Professor
The senior lecturer of the Murom Institute (branch), Vladimir State University named after Alexander and Nikolay Stoletovs
23, Orlova Str., Murom, 602264, Russia
e-mail: sv-eremeev@yandex.ru
AuthorID: 618264

Artyom V. Abakumov
Graduate student of the Murom Institute (branch), Vladimir State University named after Alexander and Nikolay Stoletovs
23, Orlova Str., Murom, 602264, Russia
e-mail: artem210966@yandex.ru

Sergey A. Krainov
Student of the Murom Institute (branch), Vladimir State University named after Alexander and Nikolay Stoletovs
23, Orlova Str., Murom, 602264, Russia
e-mail: an0nim2020@ya.ru

Alexey S. Kozlov
Student of the Murom Institute (branch), Vladimir State University named after Alexander and Nikolay Stoletovs
23, Orlova Str., Murom, 602264, Russia
e-mail: alexey-kozlov-dev@yandex.ru

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