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Proceedings Paper

Automatic target detection in GPR data
Author(s): Waleed Al-Nuaimy; Yi Huang; S. Shihab; Asger Eriksen
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Paper Abstract

Automatic detection and characterization of the signatures of solid reflecting targets in ground-penetrating radar data is achieved by a combination of signal and image processing stages. For the class of target under consideration, namely localized or extended linear reflecting targets such as landmines, pipes or cables, the reflections exhibit a broad hyperbolic anomaly in the region of the target. Detection and characterization of these distinctive signatures yields information about the location of the targets as well as the surrounding medium. Edge enhancement and edge processing techniques are developed to trace the envelope of the reflected wavefronts. By fitting hyperbolae to these detected edges, the location of the targets and the relative permittivity of the medium are estimated. This estimate enables the effective elimination of the background clutter that leads to spurious non-hyperbolic reflections. Thus automatic target detection and mapping is achieved without the heavy computational demands of techniques such as synthetic aperture radar processing, enabling on-site data interpretation.

Paper Details

Date Published: 12 April 2002
PDF: 5 pages
Proc. SPIE 4758, Ninth International Conference on Ground Penetrating Radar, (12 April 2002); doi: 10.1117/12.462232
Show Author Affiliations
Waleed Al-Nuaimy, Univ. of Liverpool (United Kingdom)
Yi Huang, Univ. of Liverpool (United Kingdom)
S. Shihab, Univ. of Liverpool (United Kingdom)
Asger Eriksen, Zetica Ltd. (United Kingdom)

Published in SPIE Proceedings Vol. 4758:
Ninth International Conference on Ground Penetrating Radar
Steven Koppenjan; Hua Lee, Editor(s)

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