Email this article Estimation Method for the Spatial Radiation Structure of Unmanned Aerial Vehicles
- Authors: Yakimenko I.V.1, Astakhov S.P.1, Yakimenko Y.I.1
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Affiliations:
- Branch of the Federal State Budgetary Educational Institution of Higher Education “National Research University “Moscow Power Engineering Institute”
- Issue: Vol 17, No 5 (2023)
- Pages: 356-364
- Section: Optical-Electronic Systems & Complexes
- URL: https://journals.eco-vector.com/1993-7296/article/view/628283
- DOI: https://doi.org/10.22184/1993-7296.FRos.2023.17.5.356.364
- ID: 628283
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Abstract
The estimation method for the spatial radiation structures of unmanned aerial vehicles is proposed that allows obtaining the approximate mathematical models of their spatial radiation structure. Such models can be used as the initial data for efficiency evaluation of problem solution related to the detection of unmanned aerial vehicles using the passive optoelectronic systems.
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About the authors
Igor V. Yakimenko
Branch of the Federal State Budgetary Educational Institution of Higher Education “National Research University “Moscow Power Engineering Institute”
Author for correspondence.
Email: journal@electronics.ru
ORCID iD: 0000-0002-1003-8403
Dr.of Sc.(Engin.), associate professor
Russian Federation, SmolenskSergey P. Astakhov
Branch of the Federal State Budgetary Educational Institution of Higher Education “National Research University “Moscow Power Engineering Institute”
Email: journal@electronics.ru
Cand.of Sc.(Engin.), associate professor
Russian Federation, SmolenskYury I. Yakimenko
Branch of the Federal State Budgetary Educational Institution of Higher Education “National Research University “Moscow Power Engineering Institute”
Email: journal@electronics.ru
ORCID iD: 0009-0001-2631-5997
post-graduate student
Russian Federation, SmolenskReferences
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Supplementary files
Supplementary Files
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JATS XML
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Fig. 1. UAV radiance measurement diagram: a radiometer on a tripod and a rotary device with two degrees of freedom.
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Fig. 2. Useful data separation algorithm
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Fig. 3. Determination diagram for the UAV projection area on the image plane
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Fig. 4. An example of the UAV image binarization result based on thresholding
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Fig. 5. An example of dependence of the overlap factor on the UAV angle
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Fig. 6. An example of dependence of the UAV projection area on the angle
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Fig. 7. Normalized indicatrix of UAV radiation in the range of 1.5–2 μm, at the values γ = 5°; 10°; 15°; 20°
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Fig. 8. Normalized indicatrix of UAV radiation in the range of 3–5 µm, at the values γ = 0°; 25°
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Fig. 9. Normalized indicatrix of UAV radiation in the range of 8–13 μm, at the values γ = 0°; 25°
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