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Subsurface Interface Detection Using Bispectral Features and Ground Penetrating Radar

Strange, Andrew D., Chandran, Vinod, & Ralston, Jonathon C. (2004) Subsurface Interface Detection Using Bispectral Features and Ground Penetrating Radar. In Christodoulou, C. (Ed.) IASTED International Conference on Antennas, Radar, and Wave Propagation, July 8-10, 2004, Banff, Canada.

Abstract

The detection of coal/shale interfaces close to the surface using ground penetrating radar (GPR) is difficult because the echo is drowned in unwanted signal components. These components are susceptible to changes in amplitude and cannot be removed well by standard pre-processing techniques. Second order correlation based methods such as matched filtering fail to locate the echo reliably under these conditions. Features that extract signal shape information based on the bispectrum can provide desirable immunity from clutter and noise. These features are investigated for this task using signals obtained from finite difference time domain simulations of a typical coal seam. It is shown that a pattern recognition approach using features derived from the bispectrum allows the detection of layer interfaces using GPR to be extended reliably to the near surface region.

Impact and interest:

2 citations in Scopus
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Full-text downloads:

317 since deposited on 02 Aug 2004
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ID Code: 339
Item Type: Conference Paper
Additional URLs:
Keywords: GPR, ground penetrating radar, bispectrum, interface detection, noise, clutter, signal processing, pattern recognition
ISBN: 0889864098
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Power and Energy Systems Engineering (excl. Renewable Power) (090607)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Neural Evolutionary and Fuzzy Computation (080108)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Australian and New Zealand Standard Research Classification > EARTH SCIENCES (040000) > GEOPHYSICS (040400) > Geophysics not elsewhere classified (040499)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2004 (please consult author)
Deposited On: 02 Aug 2004
Last Modified: 29 Feb 2012 23:04

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