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Erschienen in: Journal of Computer and Systems Sciences International 6/2020

01.11.2020 | MATHEMATICAL SIMULATION

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

verfasst von: L. V. Vishnyakova, V. Ya. Kim, K. V. Obrosov, N. K. Obrosova, A. I. Rodionov

Erschienen in: Journal of Computer and Systems Sciences International | Ausgabe 6/2020

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Abstract

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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Fußnoten
1
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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Metadaten
Titel
Search-Detection-Recognition: Simulation via Thermal Images with Varying Quality
verfasst von
L. V. Vishnyakova
V. Ya. Kim
K. V. Obrosov
N. K. Obrosova
A. I. Rodionov
Publikationsdatum
01.11.2020
Verlag
Pleiades Publishing
Erschienen in
Journal of Computer and Systems Sciences International / Ausgabe 6/2020
Print ISSN: 1064-2307
Elektronische ISSN: 1555-6530
DOI
https://doi.org/10.1134/S106423072006012X

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