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Specific Windows Search for Multi-Ship and Multi-Scale Wake Detection in SAR Images
| Content Provider | MDPI |
|---|---|
| Author | Ding, Kaiyang Yang, Junfeng Wang, Zhao Ni, Kai Wang, Xiaohao Zhou, Qian |
| Copyright Year | 2021 |
| Description | Traditional ship identification systems have difficulty in identifying illegal or broken ships, but the wakes generated by ships can be used as a major feature for identification. However, multi-ship and multi-scale wake detection is also a big challenge. This paper combines the geometric and pixel characteristics of ships and their wakes in Synthetic Aperture Radar (SAR) images and proposes a method for multi-ship and multi-scale wake detection. This method first detects the highlight pixel area in the image and then generates specific windows around the centroid, thereby detecting wakes of different sizes in different areas. In addition, all wake components can be located completely based on wake clustering, the statistical features of wake axis pixels can be used to determine the visible length of the wake. Test results on the Gaofen-3 SAR image show the special potential of the method for wake detection. |
| Starting Page | 25 |
| e-ISSN | 20724292 |
| DOI | 10.3390/rs14010025 |
| Journal | Remote Sensing |
| Issue Number | 1 |
| Volume Number | 14 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-12-22 |
| Access Restriction | Open |
| Subject Keyword | Remote Sensing Ship Wake Wake Detection Specific Windows Multi-ship Multi-scale Gaofen-3 |
| Content Type | Text |
| Resource Type | Article |
