Depthwise separable convolution Unet for 3D seismic data interpolation
In seismic exploration, dense and evenly spatial sampled seismic traces are crucial for successful implementation of most seismic data processing and interpretation algorithms. Recently, numerous seismic data reconstruction approaches based on deep learning have been presented. High dimension-based...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-01-01
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Series: | Frontiers in Earth Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2022.1005505/full |