Paper
28 April 2010 Multisensor data fusion with disparate data sources
Christian P. Minor, Mark H. Hammond, Kevin J. Johnson, Susan L. Rose-Pehrsson
Author Affiliations +
Abstract
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christian P. Minor, Mark H. Hammond, Kevin J. Johnson, and Susan L. Rose-Pehrsson "Multisensor data fusion with disparate data sources", Proc. SPIE 7710, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 77100P (28 April 2010); https://doi.org/10.1117/12.850551
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Data fusion

Detection and tracking algorithms

Sensing systems

Binary data

Data acquisition

Prototyping

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