International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023) 2023
DOI: 10.1117/12.2681147
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Self-supervised deep learning for multi-profile seismic data denoising

Xiong Chuanchao,
Chengyun Song,
Yin Zhang
et al.

Abstract: Self-supervised deep learning has been widely exploited in seismic data denoising. However, most of the current methods take a single seismic profile to reconstruct two new similar profiles by sampling. Then, the two new similar profiles are conducted as input and label respectively to train the model. In fact, there obviously exists similarity and more structural information among adjacent profiles. Therefore, we want to use adjacent multiple profiles to denoise seismic data. But this ideal requires that the … Show more

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