Method for Minefields Mapping by Imagery from Unmanned Aerial Vehicle

M.O. Popov; S.A. Stankevich; S.P. Mosov; O.V. Titarenko; S.S. Dugin; S.I. Golubov; A.A. Andreiev

doi:10.3849/aimt.01722

Authors

M.O. Popov Scientific Centre for Aerospace Research of the National Academy of Sciences of Ukraine, Kyiv, Ukraine
S.A. Stankevich Scientific Centre for Aerospace Research of the National Academy of Sciences of Ukraine, Kyiv, Ukraine
S.P. Mosov Institute of Public Administration and Research in Civil Protection, SES of Ukraine, Kyiv, Ukraine
O.V. Titarenko Scientific Centre for Aerospace Research of the National Academy of Sciences of Ukraine, Kyiv, Ukraine
S.S. Dugin Scientific Centre for Aerospace Research of the National Academy of Sciences of Ukraine, Kyiv, Ukraine
S.I. Golubov Scientific Centre for Aerospace Research of the National Academy of Sciences of Ukraine, Kyiv, Ukraine
A.A. Andreiev Scientific Centre for Aerospace Research of the National Academy of Sciences of Ukraine, Kyiv, Ukraine

DOI:

https://doi.org/10.3849/aimt.01722

Keywords:

landmine detection, minefield mapping, multispectral camera, probability fusion, thermal infrared camera, uncertainty level, unmanned aerial vehicle

Abstract

The paper proposes a method for minefields mapping by the centimeter resolution imagery from a copter-type unmanned aerial vehicle (UAV) which is equipped with multispectral camera and thermal infrared camera. The research methodology is the probability fusion by each sensor and the subsequent decision making on the landmine presence/absence. Models for the landmine detection in multispectral and thermal images are considered. The training sample structuration is proposed for the landmine detection reliability enhancement. The local temperature anomalies of landmine size are allocated by sliding window scanning the thermal image. The experimental performance of actual landmines detection at a special test site in Ukraine is described. The probability of correct landmine detection was 0.92 while with a false alarm probability it was 0.45.

Author Biography

M.O. Popov, Scientific Centre for Aerospace Research of the National Academy of Sciences of Ukraine, Kyiv, Ukraine

Director

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