Name
Abstract | ||
|---|---|---|
With the rapid growth of Sentinel-1 synthetic aperture radar (SAR) data, how to exploit Sentinel-1 imagery and achieve effective and robust marine surveillance are crucial problems. In this paper, we present the OpenSARShip, a dataset dedicated to Sentinel-1 ship interpretation. The OpenSARShip, providing 11 346 SAR ship chips integrated with automatic identification system messages, owes five ess... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JSTARS.2017.2755672 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Marine vehicles,Artificial intelligence,Synthetic aperture radar,Surveillance,Reliability,Labeling,Remote sensing | Data mining,Synthetic aperture radar,Remote sensing,Exploit,Automatic Identification System,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 1 | 1939-1404 |
Citations | PageRank | References |
7 | 0.52 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lanqing Huang | 1 | 12 | 1.32 |
| Bin Liu | 2 | 77 | 6.09 |
| Boying Li | 3 | 36 | 9.80 |
| Weiwei Guo | 4 | 17 | 7.50 |
| Wenhao Yu | 5 | 7 | 0.52 |
| Zenghui Zhang | 6 | 50 | 10.29 |
| Wenxian Yu | 7 | 329 | 43.89 |