Geodesic
Integral topographic characteristics in solving problems of remote sensing data processing
Matematičeskie zametki SVFU, Tome 27 (2020) no. 1, pp. 41-52 Cet article a éte moissonné depuis la source Math-Net.Ru

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Search for new mathematical approaches to the multichannel images analysis and processing (including Earth remote sensing data) is one of the topical problems in digital image processing. The relevance of it is determined by the need to optimize the existing methods of digital image processing, to improve the efficiency and quality of the results obtained from the digital signal analysis. In this paper, we present an approach to Earth remote sensing data processing based on invariant integral-geometric characteristics of the digital image. The invariant characteristics play an important role in digital signal processing and are widely used in pattern recognition tasks, in pattern structural matching, in remote sensing tasks, and in geological research. The paper also describes a MatLab software module developed for image analyzing and calculating of the numerical integral-geometric characteristics.
Mots-clés : invariant
Keywords: integral topographic characteristics, digital images processing, remote sensing data processing. 
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     author = {O. V. Samarina and V. V. Slavskii and S. P. Semenov},
     title = {Integral topographic characteristics in solving problems of remote sensing data processing},
     journal = {Matemati\v{c}eskie zametki SVFU},
     pages = {41--52},
     year = {2020},
     volume = {27},
     number = {1},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/SVFU_2020_27_1_a2/}
}
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O. V. Samarina; V. V. Slavskii; S. P. Semenov. Integral topographic characteristics in solving problems of remote sensing data processing. Matematičeskie zametki SVFU, Tome 27 (2020) no. 1, pp. 41-52. http://geodesic.mathdoc.fr/item/SVFU_2020_27_1_a2/