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Proceedings Paper

Clutter removal techniques for GPR images in structure inspection tasks
Author(s): Branislav Vuksanovic; Nurul Jihan Farhah Bostanudin
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Paper Abstract

This document analyses the performance of subspace signal processing techniques applied to ground penetrating radar (GPR) images in order to reduce the amount of clutter and noise in the measured GPR image. Two methods considered in this work are Principal Component Analysis (PCA) and Independent Component Analysis (ICA). An approach to combine those two techniques to improve their effectiveness when applied to GPR data is proposed in this paper. The experiments performed to gather GPR data and evaluate proposed algorithms are also described. The aim of undertaken experiments is to replicate conditions found in water reservoirs where cracks and holes in the reservoir foundations and joints cause excessive water leakages and losses to water companies and the UK economy in general. Performance of implemented algorithms is discussed and compared to the results achieved by a highly skilled human - GPR image analyst.

Paper Details

Date Published: 2 June 2012
PDF: 7 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833413 (2 June 2012); doi: 10.1117/12.946100
Show Author Affiliations
Branislav Vuksanovic, Univ. of Portsmouth (United Kingdom)
Nurul Jihan Farhah Bostanudin, Univ. of Portsmouth (United Kingdom)


Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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