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Electro-Optical Surveillance Systems for Unmanned Ground Vehicle

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Advanced System Development Technologies I

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 511))

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Abstract

The methodological bases for improving the electro-optical surveillance systems (EOSS) with image fusion performance are scientifically substantiated. Two-channel EOSS with television and thermal imaging channels are investigated. The mathematical model “observed scene-EOSS-operator” was created. Information transformation in the EOSS spectrum channels was studied for daytime and night observation conditions. Radiometric and spatial resolution of the system was evaluated within the model depending on the viewing angle. The targeting task performance (TTP) metric was proposed for evaluating the visual quality of image fusion in the EOSS. The image fusion strategy, which allows to increase the maximum detection range of objects in dual-channel EOSS was developed. It enables investigation of the image fusion process and its visual perception by the operator, as well, as matching main information channel for image fusion. To determine the main information channel, the TTP metric is calculated analytically considering that object’s contrast does not depend on the spatial frequencies. When determining the best image fusion method, the TTP metric is calculated using numerical methods based on real spatial spectra of images that have been fused using different methods. The fusion method, which provides the maximum value of the TTP metric, is considered the best. The developed method allows calculate the probability of detection, recognition and identification of an object, which is observed by the EOSS with image fusion.

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Authors and Affiliations

  1. National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine

    Volodymyr Mykytenko

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  1. Volodymyr Mykytenko
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Correspondence to Volodymyr Mykytenko .

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Editors and Affiliations

  1. Igor Sikorsky Kyiv Polytechnic Institute, National Technical University of Ukraine, Kyiv, Ukraine

    Mykhailo Bezuglyi

  2. Igor Sikorsky Kyiv Polytechnic Institute, National Technical University of Ukraine, Kyiv, Ukraine

    Nadiia Bouraou

  3. Igor Sikorsky Kyiv Polytechnic Institute, National Technical University of Ukraine, Kyiv, Ukraine

    Volodymyr Mykytenko

  4. Igor Sikorsky Kyiv Polytechnic Institute, National Technical University of Ukraine, Kyiv, Ukraine

    Grygoriy Tymchyk

  5. General Energy Institute, National Academy of Sciences of Ukraine, Kyiv, Ukraine

    Artur Zaporozhets

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Mykytenko, V. (2024). Electro-Optical Surveillance Systems for Unmanned Ground Vehicle. In: Bezuglyi, M., Bouraou, N., Mykytenko, V., Tymchyk, G., Zaporozhets, A. (eds) Advanced System Development Technologies I. Studies in Systems, Decision and Control, vol 511. Springer, Cham. https://doi.org/10.1007/978-3-031-44347-3_2

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  • DOI: https://doi.org/10.1007/978-3-031-44347-3_2

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  • Online ISBN: 978-3-031-44347-3

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