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Proceedings Paper

Automatic detection of hyperbolic signatures in ground-penetrating radar data
Author(s): Waleed Al-Nuaimy; Yi Huang; Asger Eriksen; Van Thuan Nguyen
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Paper Abstract

This paper addresses the task of automatic detection and characterization of the signatures of solid reflecting targets in ground-penetrating radar data. The images generated by ground-penetrating radar are of a much lower resolution than conventional images, due to the ratio of the wavelength of the radiation and the physical dimensions of the target, and hence do not correspond to the geometrical representation of the targets. For the class of target under consideration, namely localized or extended linear reflecting targets such as land-mines, 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: 27 November 2001
PDF: 9 pages
Proc. SPIE 4491, Subsurface and Surface Sensing Technologies and Applications III, (27 November 2001); doi: 10.1117/12.450177
Show Author Affiliations
Waleed Al-Nuaimy, Univ. of Liverpool (United Kingdom)
Yi Huang, Univ. of Liverpool (United Kingdom)
Asger Eriksen, Zetika (United Kingdom)
Van Thuan Nguyen, Shell Global Solutions (United Kingdom)


Published in SPIE Proceedings Vol. 4491:
Subsurface and Surface Sensing Technologies and Applications III
Cam Nguyen, Editor(s)

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