SEG Technical Program Expanded Abstracts 1996 1996
DOI: 10.1190/1.1826632
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Edge detection and stratigraphic analysis using 3D seismic data

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Cited by 138 publications
(44 citation statements)
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“…Instantaneous amplitude variations on the selected data volume mainly represent impedance contrasts. The basic principle of edge detection techniques is that a discontinuity can be interpreted as a sharp lateral phase variation and therefore can be detected as an "edge" (Luo et al, 1996;Marfurt et al, 2002). We apply an edge detection technique to identify lateral signal variations and discontinuities, which can be both related to the archaeological remains.…”
Section: Multi-attribute Analysismentioning
confidence: 99%
“…Instantaneous amplitude variations on the selected data volume mainly represent impedance contrasts. The basic principle of edge detection techniques is that a discontinuity can be interpreted as a sharp lateral phase variation and therefore can be detected as an "edge" (Luo et al, 1996;Marfurt et al, 2002). We apply an edge detection technique to identify lateral signal variations and discontinuities, which can be both related to the archaeological remains.…”
Section: Multi-attribute Analysismentioning
confidence: 99%
“…Edge detection techniques are applied for seismic data analysis (Luo et al, 1996;Marfurt et al, 2002) and more generally for image processing. The basic principle is that a discontinuity can be interpreted as a sharp lateral phase variation and therefore can be detected as an "edge".…”
Section: Edge Detection Techniquesmentioning
confidence: 99%
“…The basic principle is that a discontinuity can be interpreted as a sharp lateral phase variation and therefore can be detected as an "edge". We applied an edge detection algorithm based on differences between adjacent signals (Luo et al, 1996) on 3-D GPR processed data volume. For seismic data, the removal of 3-D random noise is important before applying any edge detection algorithm because reflection data related with discontinuity zones are usually more complex and irregular (i.e.…”
Section: Edge Detection Techniquesmentioning
confidence: 99%
“…Because of this, it is difficult to recognize the weak signals in the output of the detector because of the influence of strong signals. In order to overcome the two shortcomings described above, a first-derivative detector (Luo et al, 1996) was presented, which actually is a modified Sobel detector. Chopra et al (2007, p.101) described Luo's method in three steps: First, take the derivatives along a plane parallel to the reflector.…”
Section: Introductionmentioning
confidence: 99%