Diffraction imaging for edge detection

In this work a robust imaging algorithm based on detecting edge diffraction has been developed. The algorithm is based on measuring the coherency of the data using the semblance function computed along the traveltime curve of the diffracted wave. Based on the fact that waveforms on two sides of edge...

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Main Authors: Alonaizi, F., Pevzner, Roman
Format: Conference Paper
Published: 2015
Online Access:http://hdl.handle.net/20.500.11937/32184
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author Alonaizi, F.
Pevzner, Roman
author_facet Alonaizi, F.
Pevzner, Roman
author_sort Alonaizi, F.
building Curtin Institutional Repository
collection Online Access
description In this work a robust imaging algorithm based on detecting edge diffraction has been developed. The algorithm is based on measuring the coherency of the data using the semblance function computed along the traveltime curve of the diffracted wave. Based on the fact that waveforms on two sides of edge diffraction have opposite polarity, the proposed method exploit the phase-reversal phenomenon of edge diffractions in the computation process and use it as a criterion to separate edge diffractions from specular reflections. Utilizing the phase-reversal property of edge diffraction allows the detection of small features in the subsurface, and image hidden diffracted waves that could be masked by strong reflections. Two examples are provided to illustrate the validity of the method, the first example is a physical model of an edge diffractor, and the second example is real GPR data acquired over a lake.
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spelling curtin-20.500.11937-321842017-01-30T13:29:38Z Diffraction imaging for edge detection Alonaizi, F. Pevzner, Roman In this work a robust imaging algorithm based on detecting edge diffraction has been developed. The algorithm is based on measuring the coherency of the data using the semblance function computed along the traveltime curve of the diffracted wave. Based on the fact that waveforms on two sides of edge diffraction have opposite polarity, the proposed method exploit the phase-reversal phenomenon of edge diffractions in the computation process and use it as a criterion to separate edge diffractions from specular reflections. Utilizing the phase-reversal property of edge diffraction allows the detection of small features in the subsurface, and image hidden diffracted waves that could be masked by strong reflections. Two examples are provided to illustrate the validity of the method, the first example is a physical model of an edge diffractor, and the second example is real GPR data acquired over a lake. 2015 Conference Paper http://hdl.handle.net/20.500.11937/32184 restricted
spellingShingle Alonaizi, F.
Pevzner, Roman
Diffraction imaging for edge detection
title Diffraction imaging for edge detection
title_full Diffraction imaging for edge detection
title_fullStr Diffraction imaging for edge detection
title_full_unstemmed Diffraction imaging for edge detection
title_short Diffraction imaging for edge detection
title_sort diffraction imaging for edge detection
url http://hdl.handle.net/20.500.11937/32184