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Proceedings Paper

Land mine detection through GPR and EMI sensor fusion
Author(s): Robert A. Weisenseel; David A. Castanon; William Clement Karl
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Paper 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.

Paper Details

Date Published: 21 December 1999
PDF: 11 pages
Proc. SPIE 3853, Environmental Monitoring and Remediation Technologies II, (21 December 1999); doi: 10.1117/12.372869
Show Author Affiliations
Robert A. Weisenseel, Boston Univ. (United States)
David A. Castanon, Boston Univ. (United States)
William Clement Karl, Boston Univ. (United States)


Published in SPIE Proceedings Vol. 3853:
Environmental Monitoring and Remediation Technologies II
Tuan Vo-Dinh; Robert L. Spellicy, Editor(s)

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