Multisensor data fusion with disparate data sources
Christian P. Minor, Mark H. Hammond, Kevin Johnson, Susan L. Rose‐Pehrsson · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
In many instances, sensing tasks are best addressed with multiple sensing modalities. However, fusion of the outputs of disparate sensor systems presents a significant challenge to forming a cohesive sensing system. A discussion of strategies for fusion of disparate sensor data is presented and illustrated with examples of real time and retrospective data fusion for multisensor systems. The first example discussed is a real-time system for situational awareness and the detection of damage control events in ship compartments. The second example is a retrospective data fusion framework for a multisensor system for the detection of buried unexploded ordnance at former bomb and target ranges.