Name
Abstract | ||
|---|---|---|
Recent studies have shown that complex information in single-channel synthetic aperture radar (SAR) imagery has practically always been underrated. This improves the perception of their potential for ocean monitoring. Based on the in-depth interpretation of complex signal kurtosis (CSK), this paper proposes a new ship detection method based on CSK in single-channel SAR imagery. The proposed method... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TGRS.2019.2906054 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Marine vehicles,Radar polarimetry,Synthetic aperture radar,Clutter,Gaussian distribution,Proposals,Sensitivity | Signal processing,Computer vision,Data set,Synthetic aperture radar,Electromagnetic interference,Communication channel,Artificial intelligence,Constant false alarm rate,Non-Gaussianity,Kurtosis,Mathematics | Journal |
Volume | Issue | ISSN |
57 | 9 | 0196-2892 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiangguang Leng | 1 | 78 | 8.02 |
| Kefeng Ji | 2 | 176 | 17.01 |
| Shilin Zhou | 3 | 30 | 2.68 |
| Xiangwei Xing | 4 | 60 | 5.88 |