Name
Abstract | ||
|---|---|---|
The seismic data with high quality are the essential foundation of imaging and interpretation. However, the real seismic data are inevitably contaminated by noise, which affects the subsequent processing and interpretation of seismic data. In desert seismic data, the energy of noise is stronger. Also, the frequency-band overlap between noise and effective signals is more serious. Recently, some me... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LGRS.2020.3011130 | IEEE Geoscience and Remote Sensing Letters |
Keywords | DocType | Volume |
Noise reduction,Training,Noise measurement,Generators,Gallium nitride,Data models,Generative adversarial networks | Journal | 18 |
Issue | ISSN | Citations |
11 | 1545-598X | 1 |
PageRank | References | Authors |
0.36 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yue Li | 1 | 3 | 11.62 |
| Hongzhou Wang | 2 | 1 | 1.03 |
| Xintong Dong | 3 | 8 | 3.86 |