LOUD: Local Orthogonalization-Constrained Unsupervised Deep-Learning Denoiser
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DOI: 10.1109/tgrs.2022.3226404
Abstract: Random noise attenuation of seismic data is a fundamental problem in seismic data processing. It is not only an important problem itself, but also a crucial step for the subsequent tasks, for example, migration and… read more here.
Keywords: unsupervised deep; local orthogonalization; orthogonalization constrained; orthogonalization ... See more keywords