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Proceedings Paper

Target conditioning: a practical multisensor fusion tool
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Paper Abstract

Often one is interested in multisensor fusion to enhance the recognition of critical targets -- even though in isolation none of the sensors can supply sufficient information for detection. To recognize under such adverse conditions will require the best of techniques, e.g., Bayesian. Previously through careful target and sensor phenomenological modeling, we have overcome the main objection to single sensor Bayesian automatic target detection, i.e., the rigorous development of the necessary target probabilities. In this paper we show that one can further use a process of conditioning on target and sensor phenomenology to conditionally decouple the sensors. Optimal fusion will then proceed simply by combining the conditionally independent target probabilities arising from the individual sensors.

Paper Details

Date Published: 3 September 1993
PDF: 5 pages
Proc. SPIE 1956, Sensor Fusion and Aerospace Applications, (3 September 1993); doi: 10.1117/12.155081
Show Author Affiliations
Rufus H. Cofer, Florida Institute of Technology (United States)
Samuel Peter Kozaitis, Florida Institute of Technology (United States)

Published in SPIE Proceedings Vol. 1956:
Sensor Fusion and Aerospace Applications
Jake K. Aggarwal; Nagaraj Nandhakumar, Editor(s)

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