23 May 2011 Comparative analysis of clutter suppression techniques for landmine detection using ground-penetrating radar
Author Affiliations +
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ahmet Burak Yoldemir, Ridvan Gürcan, Gülay Büyükaksoy Kaplan, 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); doi: 10.1117/12.895415; https://doi.org/10.1117/12.895415
PROCEEDINGS
8 PAGES


SHARE
KEYWORDS
General packet radio service

Detection and tracking algorithms

Land mines

Independent component analysis

Mining

Radon transform

Wavelet transforms

Back to Top