A versatile tuneable curvelet-like directional filter with application to fracture detection in two-dimensional GPR data
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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.

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