Comparative analysis of clutter suppression techniques for landmine detection using ground-penetrating radar

Ahmet Burak Yoldemir; Ridvan Gürcan; Gülay Büyükaksoy Kaplan; Mehmet Sezgin

doi:10.1117/12.895415

23 May 2011 Comparative analysis of clutter suppression techniques for landmine detection using ground-penetrating radar

Ahmet Burak Yoldemir, Ridvan Gürcan, Gülay Büyükaksoy Kaplan, Mehmet Sezgin

Author Affiliations +

Proceedings Volume 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI; 80171U (2011) https://doi.org/10.1117/12.895415
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

In this study, we provide an extensive comparison of different clutter suppression techniques that are proposed to enhance ground penetrating radar (GPR) data. Unlike previous studies, we directly measure and present the effect of these preprocessing algorithms on the detection performance. Basic linear prediction algorithm is selected as the detection scheme and it is applied to real GPR data after applying each of the available clutter suppression techniques. All methods are tested on an extensive data set of different surrogate mines and other objects that are commonly encountered under the ground. Among several algorithms, singular value decomposition based clutter suppression stands out with its superior performance and low computational cost, which makes it practical to use in real-time applications.

Citation Download Citation

Ahmet Burak Yoldemir, Ridvan Gürcan, Gülay Büyükaksoy Kaplan, and Mehmet Sezgin "Comparative analysis of clutter suppression techniques for landmine detection using ground-penetrating radar", Proc. SPIE 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI, 80171U (23 May 2011); https://doi.org/10.1117/12.895415

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