Name
Abstract | ||
|---|---|---|
Synthetic aperture radar (SAR) is one of the most widely employed remote sensing modalities for large-scale monitoring of maritime activity. Ship detection in SAR images is a challenging task due to inherent speckle, discernible sea clutter, and the little exploitable shape information the targets present. Constant false alarm rate (CFAR) detectors, utilizing various sea clutter statistical models... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LGRS.2018.2838263 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Marine vehicles,Synthetic aperture radar,Detectors,Clutter,Topology,Mathematical model,Probability density function | Computer vision,Speckle pattern,Clutter,Synthetic aperture radar,Artificial intelligence,Statistical model,Thresholding,Constant false alarm rate,Probability density function,Detector,Mathematics | Journal |
Volume | Issue | ISSN |
15 | 9 | 1545-598X |
Citations | PageRank | References |
2 | 0.37 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Odysseas A. Pappas | 1 | 2 | 2.06 |
| Alin Achim | 2 | 699 | 61.36 |
| David R. Bull | 3 | 1736 | 189.86 |