LRSTV: A low-rank total variation-based seismic fault preserving denoising algorithm

Journal of Applied Geophysics(2023)

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摘要
•A model based on low-rank and TV regularization is applied in seismic processing.•Low-rank decomposition exploits the correlation along the inline sections.•TV regularization takes into account the spatial piecewise smoothness.•Capable of simultaneous preservation of lateral and vertical discontinuities.•Both quantitative and visual results confirm the effectiveness of the method.
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关键词
Incoherent or random noise,Low-rank matrix approximation,Rank constraint,Sparse matrix,Total variation,Nuclear norm minimization
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