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Proceedings Paper

Robust entropy-guided image segmentation for ground detection in GPR
Author(s): J. Roberts; Y. Shkolnikov; J. Varsanik; T. Chevalier
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Paper Abstract

Identifying the ground within a ground penetrating radar (GPR) image is a critical component of automatic and assisted target detection systems. As these systems are deployed to more challenging environments they encounter rougher terrain and less-ideal data, both of which can cause standard ground detection methods to fail. This paper presents a means of improving the robustness of ground detection by adapting a technique from image processing in which images are segmented by local entropy. This segmentation provides the rough location of the air-ground interface, which can then act as a “guide” for more precise but fragile techniques. The effectiveness of this two-step “coarse/fine” entropyguided detection strategy is demonstrated on GPR data from very rough terrain, and its application beyond the realm of GPR data processing is discussed.

Paper Details

Date Published: 7 June 2013
PDF: 8 pages
Proc. SPIE 8709, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVIII, 87091N (7 June 2013); doi: 10.1117/12.2016615
Show Author Affiliations
J. Roberts, Exponent, Inc. (United States)
Y. Shkolnikov, Exponent, Inc. (United States)
J. Varsanik, Exponent, Inc. (United States)
T. Chevalier, Exponent, Inc. (United States)

Published in SPIE Proceedings Vol. 8709:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVIII
J. Thomas Broach; Jason C. Isaacs, Editor(s)

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