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dc.contributor.advisorCooper, Alfred W.
dc.contributor.advisorPieper, Ron J.
dc.contributor.authorGroen, Michael S.
dc.dateDecember 1995
dc.date.accessioned2013-04-29T22:49:37Z
dc.date.available2013-04-29T22:49:37Z
dc.date.issued1995-12
dc.identifier.urihttp://hdl.handle.net/10945/31317
dc.description.abstractSeveral models have been proposed to predict the minimum resolvable temperature difference (MRTD) performance of second generation thermal imaging systems (TIS) which incorporate staring focal plane arrays. It has been suggested that these models are not accurate for predicting the performance of second generation staring focal plane arrays which have severe phasing or sampling characteristics not amenable to linear modulation transfer function analysis. A second problem with these models is that they require a particular set of assumptions concerning the observer eye/brain recognition process, limiting their usefulness in the prediction of performance for systems that incorporate automatic target recognition (ATR) devices. In this thesis, a new model is presented for predicting the MRTD performance of second generation thermal imagers based on a minimum threshold input contrast, and a contrast reduction factor due to aliasing and blurring effects. The model makes no assumptions regarding the recognition process, which allows a separate threshold value to be defined for either a human or machine observer. The model incorporates aliasing concepts, and extends performance prediction beyond the nominal Nyquist rate of the system. The model's predictions are compared to the predictions of the current standard FUR92 model and measured laboratory results for two different staring focal plane array imagers. In both cases, the models's predictions match measured results more closely than the predictions of FLIR92.en_US
dc.description.urihttp://archive.org/details/developmentndval1094531317
dc.format.extent160 p.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleDevelopment and validation of a second generation visibility-based model for predicting subjective and objective minimum resolvable temperature difference for staring thermal imaging systemsen_US
dc.typeThesisen_US
dc.contributor.departmentElectrical Engineering
dc.contributor.departmentApplied Science
dc.description.funderNAen_US
dc.description.recognitionNAen_US
dc.description.serviceU.S. Marine Corps (U.S.M.C.) author.en_US
etd.thesisdegree.nameM.S. in Electrical Engineeringen_US
etd.thesisdegree.nameM.S. in Applied Scienceen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.disciplineApplied Scienceen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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