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Program Systems: Theory and Applications, 2018, Volume 9, Issue 4, Pages 417–442
DOI: https://doi.org/10.25209/2079-3316-2018-9-4-417-442 (Mi ps318) 		 
This article is cited in 6 scientific papers (total 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“
Full-text PDF (7697 kB) Citations (6)
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DOI: https://doi.org/10.25209/2079-3316-2018-9-4-417-442
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.
Funding agency Grant number
Russian Foundation for Basic Research 16–38–60198_ìîë_à_äê
8–29–03011_ìê
Received: 29.10.2018
05.12.2018
Accepted: 30.12.2018
Document Type: Article
UDC: 004.932
Language: Russian
Citation: N. S. Abramov, D. A. Makarov, A. A. Talalaev, V. P. Fralenko, “Modern methods for intelligent processing of Earth remote sensing data”, Program Systems: Theory and Applications, 9:4 (2018), 417–442
Citation in format AMSBIB
\Bibitem{AbrMakTal18}
\by N.~S.~Abramov, D.~A.~Makarov, A.~A.~Talalaev, V.~P.~Fralenko
\paper Modern methods for intelligent processing of Earth remote sensing data
\jour Program Systems: Theory and Applications
\yr 2018
\vol 9
\issue 4
\pages 417--442
\mathnet{http://mi.mathnet.ru/ps318}
\crossref{https://doi.org/10.25209/2079-3316-2018-9-4-417-442}
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  • https://www.mathnet.ru/eng/ps/v9/i4/p417
    • This publication is cited in the following 6 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Program Systems: Theory and Applications
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    References:37
     
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