Title | ||
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Self-Supervised Ground-Roll Noise Attenuation Using Self-Labeling and Paired Data Synthesis |
Abstract | ||
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Seismic exploration is a complex process that depends on different sources of information. An essential one is seismic imaging, and much of its interpretation performance relies on high-quality processing, which is currently still very dependent on prone-to-error human mediation. Automation of such processing steps is necessary to reduce the amount of time to treat seismic data—usually months—and ... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TGRS.2020.3029914 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Training,Attenuation,Noise reduction,Pipelines,Noise measurement,Data models,Geology | Journal | 59 |
Issue | ISSN | Citations |
8 | 0196-2892 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dário Augusto B. Oliveira | 1 | 23 | 6.45 |
Daniil G. Semin | 2 | 0 | 0.34 |
Semen Zaytsev | 3 | 0 | 0.34 |