Fusion of AIS, RADAR, and SAR data for maritime surveillance

Multi-sensor fusion of data from maritime surveillance assets provides a consolidated surveillance picture that provides a basis for downstream semi-automated anomaly-detection algorithms. The fusion approach that we pursue in this paper leverages technology previously developed at NURC for undersea surveillance. We provide illustrations of the potential of these techniques with data from recent at-sea experimentation.