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This article is cited in 4 scientific papers (total in 4 papers)
Applied optics
Spectral pattern recognition using multi-band acousto-optic filters
V. È. Pozharab, D. Yu. Velikovskiia a Scientific and Technological Centre of Unique Instrumentation, Russian Academy of Sciences, Москва, Россия
b Bauman Moscow State Technical University
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.
Keywords:
hyperspectral analysis, rapid analysis, multi-band acousto-optic filter, modulation of acousto-optic tunable filter (AOTF).
Received: 03.02.2020 Revised: 18.03.2020 Accepted: 27.03.2020
Citation:
V. È. Pozhar, D. Yu. Velikovskii, “Spectral pattern recognition using multi-band acousto-optic filters”, Optics and Spectroscopy, 128:7 (2020), 1035–1041; Optics and Spectroscopy, 128:7 (2020), 1041–1047
Linking options:
https://www.mathnet.ru/eng/os383 https://www.mathnet.ru/eng/os/v128/i7/p1035
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