Title

Characterization Of Disagreement In Multiplatform And Multisensor Fusion Analysis

Abstract

An interesting problem arises in multiplatform-multisensor information fusion systems when sources disagree on the classification or identity of an unknown entity. If there is disagreement, the ideal situation is a high level of confidence from 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.

Publication Date

1-1-2000

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

4052

Number of Pages

240-248

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

0033682670 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0033682670

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