Name
Abstract | ||
|---|---|---|
The detection of small target in radar echo has important application value in military and civil fields. In the actual detection scene, the deep learning method is used to represent the complex clutter and targets, so as to realize the detection of small targets. However, the quality of training samples seriously affects the detection results. In order to make full use of radar echo information a... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICSPCC52875.2021.9564419 | 2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) |
Keywords | DocType | ISBN |
Training,Deep learning,Time-frequency analysis,Neural networks,Stacking,Radar detection,Radar | Conference | 978-1-6654-2918-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jing He | 1 | 93 | 14.67 |
| Yongqiang Cheng | 2 | 133 | 29.99 |
| Hao Wu | 3 | 10 | 1.11 |
| Xingwei Cao | 4 | 0 | 0.34 |
| Hongqiang Wang | 5 | 0 | 0.34 |