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Thematic Mapping and Evaluation of Temporary Sequence of Multi-zone Satellite Images

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Artificial Intelligence (RCAI 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1093))

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Abstract

The goal of this paper is to present and compare algorithms for thematic mapping of multispectral satellite images. The paper proposes a nonlinear multi-dimensional filter to combine the results of processing of several multi-temporal multispectral images. Options for implementation of procedures are discussed.

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Author information

Authors and Affiliations

  1. Ulyanovsk State Technical University, Ulyanovsk, Russian Federation

    Vitaliy Dementiev, Andrey Frenkel, Dmitriy Kondratiev & Anastasia Streltsova

Authors
  1. Vitaliy Dementiev
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  2. Andrey Frenkel
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  3. Dmitriy Kondratiev
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  4. Anastasia Streltsova
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Corresponding author

Correspondence to Andrey Frenkel .

Editor information

Editors and Affiliations

  1. National Research University Higher School of Economics, Moscow, Russia

    Sergei O. Kuznetsov

  2. Artificial Intelligence Research Institute, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Moscow, Russia

    Aleksandr I. Panov

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Dementiev, V., Frenkel, A., Kondratiev, D., Streltsova, A. (2019). Thematic Mapping and Evaluation of Temporary Sequence of Multi-zone Satellite Images. In: Kuznetsov, S., Panov, A. (eds) Artificial Intelligence. RCAI 2019. Communications in Computer and Information Science, vol 1093. Springer, Cham. https://doi.org/10.1007/978-3-030-30763-9_7

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  • DOI: https://doi.org/10.1007/978-3-030-30763-9_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30762-2

  • Online ISBN: 978-3-030-30763-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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