Name
Abstract | ||
|---|---|---|
Numerous national and multinational initiatives in maritime surveillance have been initiated, with the goal of having knowledge of all coastal and open-seas activities relevant to national security. As part of this effort, NATO is pursuing research activities to exploit existing multi-sensor systems in support of maritime surveillance. Multi-sensor fusion of data from maritime surveillance assets provides a consolidated surveillance picture for anomaly detection. This paper develops a model for multisensor fusion and Bayesian anomaly detection that quantifies the value of sensor data for maritime surveillance performance. An approach to satellite imagery tasking for optimal surveillance performance is also given. Simulation results corroborate our analysis. |
Year | Venue | Keywords |
|---|---|---|
2008 | Cologne | Bayes methods,image fusion,marine radar,national security,radar imaging,radar tracking,search radar,spaceborne radar,synthetic aperture radar,target tracking,AIS,Bayesian anomaly detection,NATO,SAR,automatic identification system,maritime surveillance,multisensor data fusion,national security,satellite imagery tasking,target tracking,Automatic Identification System (AIS),Maritime Surveillance,Multi-sensor fusion,SAR imagery,anomaly detection,coastal radar,target tracking |
Field | DocType | ISBN |
National security,Radar,Computer vision,Anomaly detection,Radar tracker,Image fusion,Synthetic aperture radar,Computer science,Exploit,Sensor fusion,Artificial intelligence | Conference | 978-3-00-024883-2 |
Citations | PageRank | References |
10 | 1.69 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marco Guerriero | 1 | 10 | 1.69 |
| Peter Willett | 2 | 190 | 42.94 |
| Stefano Coraluppi | 3 | 264 | 44.73 |
| Craig Carthel | 4 | 150 | 25.31 |