Search-Detection-Recognition: Simulation via Thermal Images with Varying Quality


We propose an algorithm of a dynamical model for the search-detection-recognition of objects by the onboard thermal-imaging systems operating in the wavelength ranges from 3 to 5 µm and 8 to 12 µm. We provide the main simulation results under the action with respect to ground objects, analyzing the influence of the main agents on the probabilistic-range characteristics of the scene–optical route–thermal-imaging channel–person system under the assumption that the image quality varies within the search because the carrier approaches the object.

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    The Heaviside function has the form \(\theta (x) = \left\{ \begin{gathered} 1,\quad x > 0, \hfill \\ 0,\quad x \leqslant 0. \hfill \\ \end{gathered} \right.\)


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This study is supported by the Russian Foundation for Basic Research, grant nos. 20-08-00949-a (Sections 1, 2, and 4) and 19-29-06077-mk (Section 3).

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Correspondence to N. K. Obrosova.

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Translated by A. Muravnik

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Vishnyakova, L.V., Kim, V.Y., Obrosov, K.V. et al. Search-Detection-Recognition: Simulation via Thermal Images with Varying Quality. J. Comput. Syst. Sci. Int. 59, 905–917 (2020).

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