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JOURNALS // Program Systems: Theory and Applications // Archive

Program Systems: Theory and Applications, 2018 Volume 9, Issue 4, Pages 417–442 (Mi ps318)

This article is cited in 6 papers

Artificial Intelligence, Intelligent Systems, Neural Networks

Modern methods for intelligent processing of Earth remote sensing data

N. S. Abramova, D. A. Makarovbc, A. A. Talalaeva, V. P. Fralenkoa

a Ailamazyan Program Systems Institute of Russian Academy of Sciences
b Institute for Systems Analysis, FRC "Computer Science and Control" of RAS
c LLC ”Technologies for systems analysis“

Abstract: The paper presents an overview of modern methods for processing Earth remote sensing data. The analysis of works devoted to solving problems of preliminary analysis of images, the selection and recognition of target objects for their further monitoring is given. Emphasis has been placed on hybrid methods for analyzing images using, among other things, high-performance processing technologies and artificial neural networks. The features, problems and trends in the development of big data processing technologies in various remote sensing applications are shown. (In Russian).

Key words and phrases: Earth remote sensing, search, recognition, image processing, artificial neural network, intelligent system, software systems, big data.

UDC: 004.932

Received: 29.10.2018
05.12.2018
Accepted: 30.12.2018

DOI: 10.25209/2079-3316-2018-9-4-417-442



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