7 June 2013 Robust entropy-guided image segmentation for ground detection in GPR
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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.
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J. Roberts, J. Roberts, Y. Shkolnikov, Y. Shkolnikov, J. Varsanik, J. Varsanik, T. Chevalier, T. Chevalier, Adam D. Mulliken, Adam D. Mulliken, } "Robust entropy-guided image segmentation for ground detection in GPR", Proc. SPIE 8709, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVIII, 87091N (7 June 2013); doi: 10.1117/12.2016615; https://doi.org/10.1117/12.2016615
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