Name
Abstract | ||
|---|---|---|
In this paper, we show the capabilities of a new maritime control system based on the processing of COSMO-SkyMed Synthetic Aperture Radar (SAR) images. This system aims at fast detection of ships that may be responsible for illegal oil dumping. In particular, a novel detection algorithm based on the joint use of the significance parameter, wavelet correlator and a two-dimensional Constant False Alarm Rate (2D-CFAR) is designed. Results show the effectiveness of such algorithms, which can be used by the maritime authorities to have a faster although still reliable response. The proposed algorithm, together with the short revisit time of the COSMO-SkyMed constellation, can help with tracking the scenario evolution from one acquisition to the next. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3390/rs9030230 | REMOTE SENSING |
Keywords | Field | DocType |
oil spill,CFAR,ship detection,fast,early warning,maritime surveillance | Warning system,Computer vision,Oil spill,Synthetic aperture radar,Remote sensing,Constellation,Artificial intelligence,Constant false alarm rate,Control system,Geology,Wavelet | Journal |
Volume | Issue | ISSN |
9 | 3 | 2072-4292 |
Citations | PageRank | References |
3 | 0.40 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alberto Lupidi | 1 | 4 | 1.92 |
| Daniele Staglianò | 2 | 17 | 2.22 |
| Marco Martorella | 3 | 193 | 28.18 |
| Fabrizio Berizzi | 4 | 142 | 21.56 |