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Proceedings Paper

Characterization of disagreement in multiplatform and multisensor fusion analysis
Author(s): Harley R. Myler
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Paper Abstract

An interesting problem arises in multi platform-multisensor information fusion system when sources disagree on the classification or identity of an unknown entity. If there is disagreement, the ideal situation ins a high level of confidence form a single source with complete disagreement in the remaining sources. This is not always the case and situations may arise where the winner is only successful by a small margin and there is collective disagreement amongst the losing sources. This paper describes a new terminology, disfusion, which is used for the characterization of disagreement between information sources and can enhance the final conclusion of a fusion system.

Paper Details

Date Published: 4 August 2000
PDF: 9 pages
Proc. SPIE 4052, Signal Processing, Sensor Fusion, and Target Recognition IX, (4 August 2000); doi: 10.1117/12.395074
Show Author Affiliations
Harley R. Myler, Univ. of Central Florida (United States)

Published in SPIE Proceedings Vol. 4052:
Signal Processing, Sensor Fusion, and Target Recognition IX
Ivan Kadar, Editor(s)

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