Name
Abstract | ||
|---|---|---|
Clutter suppression and ground moving target indication are challenging tasks in multichannel synthetic aperture radar (SAR) systems. In recent years, robust principal component analysis (RPCA) has attracted much attention for its good performance in distinguishing the different parts from a set of correlative database. Therefore, we propose a fast RPCA-based detection method for multichannel SAR ... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/LGRS.2015.2461654 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Clutter,Sparse matrices,Synthetic aperture radar,Training,Covariance matrices,Coherence,Robustness | Computer vision,Moving target indication,Clutter,Synthetic aperture radar,Remote sensing,Robust principal component analysis,Inverse synthetic aperture radar,Artificial intelligence,Constant false alarm rate,Space-time adaptive processing,Mathematics,Stationary target indication | Journal |
Volume | Issue | ISSN |
12 | 11 | 1545-598X |
Citations | PageRank | References |
7 | 0.59 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dong Yang | 1 | 116 | 18.09 |
| Xi Yang | 2 | 154 | 18.32 |
| Guisheng Liao | 3 | 996 | 126.36 |
| Shengqi Zhu | 4 | 353 | 26.46 |