Name
Abstract | ||
|---|---|---|
In this letter, we propose a novel classification strategy called the coupled dictionary learning for target recognition in synthetic aperture radar (SAR) images. First, we train structured synthesis dictionaries to reflect the difference among each category. Second, we introduce a shared dictionary to reduce the effect of common features, such as the high similarity caused by specular reflection.... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LGRS.2017.2651150 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Dictionaries,Synthetic aperture radar,Target recognition,Training,Radar imaging,Image reconstruction | Iterative reconstruction,Computer vision,Radar imaging,Pattern recognition,Target acquisition,Automatic target recognition,K-SVD,Computer science,Synthetic aperture radar,Sparse approximation,Inverse synthetic aperture radar,Artificial intelligence | Journal |
Volume | Issue | ISSN |
14 | 6 | 1545-598X |
Citations | PageRank | References |
1 | 0.35 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miao Li | 1 | 28 | 14.13 |
| Yanqing Guo | 2 | 35 | 6.24 |
| Ming Li | 3 | 7 | 1.11 |
| Guoqi Luo | 4 | 1 | 0.35 |
| Xiangwei Kong | 5 | 387 | 37.93 |