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Heuristic Criterion for Class Recognition by Spectral Brightness

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Cybernetics and Systems Analysis Aims and scope

Abstract

The authors consider the problem of recognition of a class of objects by the results of multispectral measurements (spectral brightness of signals) and available spectral and statistical characteristics of the given classes. On the basis of probabilistic and statistical considerations, as well as quantization of continuous distributions, the heuristic recognition criterion is proposed. Based on the criterion, the heuristic method of recognition is presented. Modifications of the method are proposed to improve its reliability and efficiency.

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Authors and Affiliations

  1. State Institution “Scientific Centre for Aerospace Research of the Earth, Institute of Geological Science, National Academy of Sciences of Ukraine,”, Kyiv, Ukraine

    A. I. Arkhipov & À. V. Khyzhniak

  2. National Aviation University, Kyiv, Ukraine

    N. M. Glazunov

Authors
  1. A. I. Arkhipov
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  2. N. M. Glazunov
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  3. À. V. Khyzhniak
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Corresponding author

Correspondence to A. I. Arkhipov.

Additional information

Translated from Kibernetika i Sistemnyi Analiz, No. 1, January–February, 2018, pp. 105–110

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Arkhipov, A.I., Glazunov, N.M. & Khyzhniak, À.V. Heuristic Criterion for Class Recognition by Spectral Brightness. Cybern Syst Anal 54, 94–98 (2018). https://doi.org/10.1007/s10559-018-0010-7

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  • DOI: https://doi.org/10.1007/s10559-018-0010-7

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