Paper
21 December 1999 Land mine detection through GPR and EMI sensor fusion
Author Affiliations +
Abstract
In this paper, we develop a system to exploit sensor fusion for detecting and locating plastic A/P mines. We design and test the system using data from Monte Carlo electromagnetic induction spectroscopy (EMIS) and ground penetrating radar (GPR) simulations. We include the effects of both random soil surface variability and sensor noise. In the presence of a rough surface and a heterogeneous, multi-element clutter environment, we obtain good results fusing EMIS and GPR data using a statistical approach. More generally, we demonstrate a framework for simulating and testing sensor configurations and sensor fusion approaches for landmine and unexploded ordinance (UXO) detection systems. Taking advantage of high- fidelity electromagnetic simulation, we develop a controlled environment for testing sensor fusion concepts, from varied sensor arrangements to detection algorithms. In this environment, we can examine the effect of changing mine structure, soil parameters, and sensor geometry on the sensor fusion problem. We can then generalize these results to produce mine detectors robust to real-world variations.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert A. Weisenseel, David A. Castanon, and William Clement Karl "Land mine detection through GPR and EMI sensor fusion", Proc. SPIE 3853, Environmental Monitoring and Remediation Technologies II, (21 December 1999); https://doi.org/10.1117/12.372869
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KEYWORDS
Sensors

Land mines

General packet radio service

Electromagnetic coupling

Sensor fusion

Mining

Monte Carlo methods

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