A versatile tuneable curvelet-like directional filter with application to fracture detection in two-dimensional GPR data
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- 作者：Andreas Tzanis atzanis@geol.uoa.gr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Ground Probing Radar ; Image processing ; Curvelet ; Directional filter ; Edge detection ; Fracture detection
- 刊名：Signal Processing
- 出版年：2017
- 出版时间：March 2017
- 年：2017
- 卷：132
- 期：Complete
- 页码：243-260
- 全文大小：6993 K
文摘
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A freely tuneable and steerable, curvelet-like (curveletiform) filter is described.
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The filter can isolate fine to coarse scale geometrical objects in images.
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Fine to coarse scale signatures of fractures can be detected and mapped in GPR data.
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Recoverable information is accurately retrievable from complex and noisy data.