Name
Abstract | ||
|---|---|---|
The problem of strong sea clutter, e.g., sea spikes, may bring in low signal-to-clutter ratio (SCR) and cause great interference to radar marine target detection. However, the sea clutter suppression ability of current algorithms is limited with poor generalization under complex marine environment. In this letter, a novel sea clutter suppression generative adversarial network (SCS-GAN) is designed... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LGRS.2020.3012523 | IEEE Geoscience and Remote Sensing Letters |
Keywords | DocType | Volume |
Clutter,Radar imaging,Radar clutter,Generators,Training,Gallium nitride | Journal | 18 |
Issue | ISSN | Citations |
11 | 1545-598X | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoqian Mou | 1 | 0 | 0.68 |
| Xiaolong Chen | 2 | 0 | 1.69 |
| GUAN Jian | 3 | 47 | 15.77 |
| Yunlong Dong | 4 | 0 | 0.68 |
| Ningbo Liu | 5 | 81 | 3.76 |