Name
Title | ||
|---|---|---|
Fully Connected Continuous Conditional Random Field With Stochastic Cliques for Dark-Spot Detection In SAR Imagery. |
Abstract | ||
|---|---|---|
Dark-spot detection from synthetic aperture radar (SAR) imagery is a fundamental step in marine oil-spill detection and monitoring. However, achieving robust and accurate detection is difficult due to SAR sensor limitations and the complex marine environment. To address this problem, the large-scale spatial contextual information in SAR imagery has to be utilized to increase the class separability... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JSTARS.2016.2531985 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Synthetic aperture radar,Speckle,Stochastic processes,Correlation,Monitoring,Detection algorithms,Backscatter | Conditional random field,Computer vision,Feature vector,Speckle pattern,Synthetic aperture radar,Remote sensing,Stochastic process,Inverse synthetic aperture radar,Pixel,Artificial intelligence,Speckle noise,Mathematics | Journal |
Volume | Issue | ISSN |
9 | 7 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xu, L. | 1 | 46 | 7.46 |
| M. J. Shafiee | 2 | 100 | 22.85 |
| Alexander Wong | 3 | 351 | 69.61 |
| David A. Clausi | 4 | 1082 | 89.57 |