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dc.contributor.authorCofer, Rufus H.
dc.date.accessioned2017-10-06T18:20:12Z
dc.date.available2017-10-06T18:20:12Z
dc.date.issued1992-09-21
dc.identifier.citationCofer, R. H. (1992). Bayesian defeat of camouflage. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 1687 350-357en_US
dc.identifier.urihttp://hdl.handle.net/11141/1848
dc.descriptionCamouflage, Computer simulation, Mathematical models, Statistical methodsen_US
dc.description.abstractA 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.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law.en_US
dc.rights.urihttp://spie.org/publications/journals/guidelines-for-authors#Terms_of_Useen_US
dc.titleBayesian defeat of camouflageen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.137863


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