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Spectral Pattern Recognition Using Multi-Band Acousto-Optic Filters

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Abstract

The problem of detection of objects on their spectral patterns by hyperspectral mapping is considered. The main issues hindering an effective and fast solution of the problem are described. The method of on-line object–background discrimination is validated, which utilizes multi-band tunable spectral filters. The principles of operation and technical implementation of these devices are formulated. The assumptions forming the basis of this method and its features are discussed. An original method based on a modulated acousto-optic filter is proposed. We have made conclusions on a conceptual possibility of the considered methods based on a novel technique of multi-band acousto-optic filtering, on its relevance, a short-time response, operational efficiency, and adjustability.

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Funding

This study was performed in the framework of the state task of the STC of UI, RAS.

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Authors and Affiliations

  1. Scientific and Technological Center of Unique Instrumentation, Russian Academy of Sciences, 117342, Moscow, Russia

    V. E. Pozhar & D. Yu. Velikovskii

  2. Bauman Moscow State Technical University, 105005, Moscow, Russia

    V. E. Pozhar

Authors
  1. V. E. Pozhar
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  2. D. Yu. Velikovskii
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Correspondence to V. E. Pozhar.

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The authors declare that they have no conflict of interest.

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Translated by N. Podymova

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Pozhar, V.E., Velikovskii, D.Y. Spectral Pattern Recognition Using Multi-Band Acousto-Optic Filters. Opt. Spectrosc. 128, 1041–1047 (2020). https://doi.org/10.1134/S0030400X20070176

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  • DOI: https://doi.org/10.1134/S0030400X20070176

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