A large vision model generates fine-grained masks to guide masked low-rank approximation for more effective ground-roll attenuation in seismic data without excessive signal leakage.
Random noise attenuation using local signal-and-noise orthogonalization
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Large Vision Model-Guided Masked Low-Rank Approximation for Ground-Roll Attenuation
A large vision model generates fine-grained masks to guide masked low-rank approximation for more effective ground-roll attenuation in seismic data without excessive signal leakage.