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Proceedings Paper

Multisensor data fusion with disparate data sources
Author(s): Christian P. Minor; Mark H. Hammond; Kevin J. Johnson; Susan L. Rose-Pehrsson
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Paper 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.

Paper Details

Date Published: 28 April 2010
PDF: 11 pages
Proc. SPIE 7710, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 77100P (28 April 2010); doi: 10.1117/12.850551
Show Author Affiliations
Christian P. Minor, Nova Research, Inc. (United States)
Mark H. Hammond, U.S. Naval Research Lab. (United States)
Kevin J. Johnson, U.S. Naval Research Lab. (United States)
Susan L. Rose-Pehrsson, U.S. Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 7710:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010
Jerome J. Braun, Editor(s)

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