Name
Abstract | ||
|---|---|---|
The blended acquisition allows multiple sources to be simulated simultaneously in a narrow time interval, which can improve the acquisition efficiency and reduce the acquisition cost tremendously. However, the overlapped information from multiple sources poses challenges for traditional seismic data migration or inversion algorithms. Thus, accurate and efficient deblending should be implemented as... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TGRS.2020.3048746 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Feature extraction,Transforms,Training data,Training,Data mining,Deep learning,Volume measurement | Journal | 59 |
Issue | ISSN | Citations |
10 | 0196-2892 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benfeng Wang | 1 | 4 | 7.52 |
| Jiakuo Li | 2 | 0 | 0.34 |
| Jingrui Luo | 3 | 1 | 1.70 |
| Yingying Wang | 4 | 21 | 11.64 |
| Jianhua Geng | 5 | 0 | 0.34 |