Name
Title | ||
|---|---|---|
A Robust and Efficient Sparse Time-Invariant Radon Transform in the Mixed Time-Frequency Domain |
Abstract | ||
|---|---|---|
The Radon transform (RT) has been widely used as a powerful tool, especially in exploration geophysics fields, such as multiple removal, interpolation, and velocity analysis. However, the existing strong outlier effects can seriously decrease the accuracy of the traditional RT. Therefore, a robust time-invariant RT (TIRT) is proposed in the mixed time-frequency domain to attenuate the outlier effe... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TGRS.2019.2914086 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Radon,Time-domain analysis,Computational modeling,Sparse matrices,Interpolation,Transforms,Frequency-domain analysis | Time domain,Frequency domain,LTI system theory,Computer vision,Interpolation,Outlier,Algorithm,Robustness (computer science),Artificial intelligence,Radon transform,Mathematics,Sparse matrix | Journal |
Volume | Issue | ISSN |
57 | 10 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benfeng Wang | 1 | 4 | 7.52 |
| Yingqiang Zhang | 2 | 0 | 0.34 |
| Wenkai Lu | 3 | 28 | 16.27 |
| Jianhua Geng | 4 | 0 | 2.03 |