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dc.contributor.authorDeKruger, David Henry.
dc.creatorDeKruger, David Henry.en_US
dc.date.accessioned2011-10-31T18:10:24Z
dc.date.available2011-10-31T18:10:24Z
dc.date.issued1993en_US
dc.identifier.urihttp://hdl.handle.net/10150/186473
dc.description.abstractThe primary focus of the work being done in the area of super-resolution of imagery has been done using images taken in the optical portion of the electro-magnetic spectrum. The material presented here describes the development of a super-resolution algorithm for images in the millimeter wave portion of the spectrum. Due to the difference in the statistical properties of the photons in the optical and millimeter wave portions of the spectrum, different mathematical models are needed to describe the object and image in the two wavelength regions. Poisson statistics are commonly used to describe the object and image in the optical region. Development of statistical models for the object and image in the millimeter wave region are presented here. The statistical models investigated here are based on Rayleigh and exponential statistics. Rayleigh statistics are valid if the object of interest is linear in amplitude and the exponential statistics are valid if the object is linear in intensity.
dc.language.isoenen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subjectDissertations, Academic.en_US
dc.subjectElectrical engineering.en_US
dc.titleSuper-resolution processing of millimeter wave imagery.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.contributor.chairHunt, Bobby R.en_US
dc.identifier.oclc721348969en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.leveldoctoralen_US
dc.contributor.committeememberDudley, Donald G. Jr.en_US
dc.contributor.committeememberSchowengerdt, Roberten_US
dc.identifier.proquest9410673en_US
thesis.degree.disciplineElectrical and Computer Engineeringen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.namePh.D.en_US
refterms.dateFOA2018-08-23T13:05:57Z
html.description.abstractThe primary focus of the work being done in the area of super-resolution of imagery has been done using images taken in the optical portion of the electro-magnetic spectrum. The material presented here describes the development of a super-resolution algorithm for images in the millimeter wave portion of the spectrum. Due to the difference in the statistical properties of the photons in the optical and millimeter wave portions of the spectrum, different mathematical models are needed to describe the object and image in the two wavelength regions. Poisson statistics are commonly used to describe the object and image in the optical region. Development of statistical models for the object and image in the millimeter wave region are presented here. The statistical models investigated here are based on Rayleigh and exponential statistics. Rayleigh statistics are valid if the object of interest is linear in amplitude and the exponential statistics are valid if the object is linear in intensity.


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