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Proceedings Paper

Comparative analysis of clutter suppression techniques for landmine detection using ground-penetrating radar
Author(s): Ahmet Burak Yoldemir; Ridvan Gürcan; Gülay Büyükaksoy Kaplan; Mehmet Sezgin
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Paper 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.

Paper Details

Date Published: 23 May 2011
PDF: 8 pages
Proc. SPIE 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI, 80171U (23 May 2011); doi: 10.1117/12.895415
Show Author Affiliations
Ahmet Burak Yoldemir, TUBITAK BILGEM BTE (Turkey)
Ridvan Gürcan, TUBITAK BILGEM BTE (Turkey)
Gülay Büyükaksoy Kaplan, TUBITAK BILGEM BTE (Turkey)
Mehmet Sezgin, TUBITAK BILGEM BTE (Turkey)

Published in SPIE Proceedings Vol. 8017:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI
Russell S. Harmon; John H. Holloway; J. Thomas Broach, Editor(s)

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