Title | ||
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Automatic Velocity Analysis Using a Hybrid Regression Approach With Convolutional Neural Networks |
Abstract | ||
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The definition of reliable velocity functions is paramount for obtaining high-quality poststack seismic data. Velocity functions are commonly created with the interpreter interactively selecting high-energy peaks in velocity spectra and verifying if the derived velocity functions match the traveltime trajectories in the corresponding common midpoint (CMP) gathers. Modern software further allows th... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TGRS.2020.3022744 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Training,Microsoft Windows,MOS devices,Convolution,Splines (mathematics),Computer architecture,Stacking | Journal | 59 |
Issue | ISSN | Citations |
5 | 0196-2892 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rodrigo S. Ferreira | 1 | 8 | 2.20 |
Dário Augusto B. Oliveira | 2 | 23 | 6.45 |
Daniil G. Semin | 3 | 0 | 0.34 |
Semen Zaytsev | 4 | 0 | 0.34 |