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    Super-resolution processing of millimeter wave imagery.

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    Author
    DeKruger, David Henry.
    Issue Date
    1993
    Keywords
    Dissertations, Academic.
    Electrical engineering.
    Committee Chair
    Hunt, Bobby R.
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © 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.
    Abstract
    The 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.
    Type
    text
    Dissertation-Reproduction (electronic)
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Electrical and Computer Engineering
    Graduate College
    Degree Grantor
    University of Arizona
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    Dissertations

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