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The probabilistic model of search and detection of ground objects using unmanned aerial vehicles in difficult weather conditions
Author(s) -
Ilia Kuznetcov,
A. E. Kuznetcov,
I. O. Baklanov,
O. V. Strashko
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1745/1/012048
Subject(s) - probabilistic logic , computer science , search and rescue , statistical model , environmental science , meteorology , remote sensing , artificial intelligence , geography , robot
The paper proposes the model of search and detection of ground objects in difficult weather conditions with the use of unmanned aerial vehicles. The model is based on the probabilistic approach and allows assessing the quality of reconnaissance missions taking into account the influence of the most significant meteorological values and weather phenomena.

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