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Proceedings Paper

Automatic 3D mapping of features using GPR
Author(s): Waleed Al-Nuaimy; H. Lu; S. Shihab; Asger Eriksen
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Paper Abstract

Although GPR is normally capable of detecting the responsefrom buried plant, accurate detection and mapping of extended geometrical features in 3-dimensional data is often a major problem faced by the radar operators and geophysicists. This paper presents a pattern recognition approach based on the 3-dimensional Hough Transform for the detection of extended linear targets. By transforming spatially extended patterns into spatially compact features in parameter space, a difficult global detection problem in data space becomes a more easily solved local peak detectionproblem in parameter space. This technique allows the combination of qualitative site information and ground truth in order to increase the accuracy of the final result. Improved freedom of movement and accuracy is achieved by logging the movement of the GPR unit using DGPS. The user is presented with a 3-dimensional site survey report detailing the length, depth and orientations (azimuth and zenith) of any pipes, cables or the like.

Paper Details

Date Published: 12 April 2002
PDF: 4 pages
Proc. SPIE 4758, Ninth International Conference on Ground Penetrating Radar, (12 April 2002); doi: 10.1117/12.462225
Show Author Affiliations
Waleed Al-Nuaimy, Univ. of Liverpool (United Kingdom)
H. Lu, 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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