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Proceedings Paper

Application of Bayes nets in sensor fusion
Author(s): Kuo-Chu Chang; Clayton V. Stewart
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Paper Abstract

This paper gives an overview of the Bayesian network technology and a description of its potential application for data fusion. The Bayesian network technology is a set of representation techniques for encoding uncertain beliefs using probability theory and reasoning techniques for drawing inferences from such representatives. The technology has been successfully applied both to tasks of assessment under uncertainty and tasks of decision- making under uncertainty.

Paper Details

Date Published: 1 February 1994
PDF: 12 pages
Proc. SPIE 2093, Substance Identification Analytics, (1 February 1994); doi: 10.1117/12.172543
Show Author Affiliations
Kuo-Chu Chang, George Mason Univ. (United States)
Clayton V. Stewart, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 2093:
Substance Identification Analytics
James L. Flanagan; Richard J. Mammone; Albert E. Brandenstein; Edward Roy Pike M.D.; Stelios C. A. Thomopoulos; Marie-Paule Boyer; H. K. Huang; Osman M. Ratib, Editor(s)

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