Light & Engineering 29 (5)

Volume 29
Date of publication 10/27/2021
Pages 71–78

Computer Vision Method for Forest Fires Detection Based on RGB Images Obtained by Unmanned Motor Glider L&E, Vol. 29, No. 5 (2), 2021

Articles authors:

Michael Yu. Kataev, Eugene Yu. Kartashov

Michael Yu. Kataev, Doctor of Technical Science. He graduated in 1984 from Tomsk State University as an engineer-researcher in optic. At present, he is a Professor of the Department of Automated Control Systems (ACS) TU-RMS and Professor of Yurginsky Technological Institute (branch) of the Tomsk Polytechnic University (TPU), scientific leadership, and a member of the Earth from Space Monitoring Centre, TUSUR

Eugene Yu. Kartashov, Ph.D. in Tech. Sci., Associate Professor at Department of Machinery and Apparatus for Chemical and Nuclear Production, Seversk Technological Institute, National Research Nuclear University (MEPhI)

Abstract:

The article proposes a method (algorithm) of forest fire detection by means of RGB images obtained by using an unmanned aerial vehicle (motor glider). It includes several stages associated with background detection and subtraction and recognition of fire areas by means of RGB colour space. The proposed method was tested using images of forest fires. It is proposed to use unmanned aerial vehicles capable to monitor large areas continuously for several hours. The results of calculations are shown, which demonstrate that the proposed method allows us to detect areas of images occupied by forest fires and may be used in automatic forest fire monitoring systems.

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Keywords

DOI: https://doi.org/10.33383/2021-009

Article in RUS:
Svetotekhnika # 2, 2021, pp. 15-20

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