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Proceedings Paper

Bayesian defeat of camouflage
Author(s): Rufus H. Cofer
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Paper Abstract

A new technique is shown for refining and reducing incoming camouflage data based upon the Bayesian paradigm. Innovation is displayed in use of a statistical conditioning sequence that avoids the need to form target features from the data. The result is a simplified and more accurate probabilistic indication of actual target presence. This probabilistic indication can then be incorporated into a variety of target detection scenarios or, alternately, to form the basis of a theoretically optimal Bayesian target detector. Numeric simulation is presented to show the effectiveness of the technique against simulated camouflage.

Paper Details

Date Published: 21 September 1992
PDF: 8 pages
Proc. SPIE 1687, Characterization, Propagation, and Simulation of Sources and Backgrounds II, (21 September 1992); doi: 10.1117/12.137863
Show Author Affiliations
Rufus H. Cofer, Florida Institute of Technology (United States)


Published in SPIE Proceedings Vol. 1687:
Characterization, Propagation, and Simulation of Sources and Backgrounds II
Dieter Clement; Wendell R. Watkins, Editor(s)

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