Document Type
Conference Proceeding
Publication Title
Proceedings of SPIE - the International Society for Optical Engineering
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
First Page
350
Last Page
357
DOI
10.1117/12.137863
Publication Date
9-21-1992
Recommended Citation
Cofer, R. H. (1992). Bayesian defeat of camouflage. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 1687 350-357