Rice Univesrity Logo
    • FAQ
    • Deposit your work
    • Login
    View Item 
    •   Rice Scholarship Home
    • Faculty & Staff Research
    • George R. Brown School of Engineering
    • Electrical and Computer Engineering
    • ECE Publications
    • View Item
    •   Rice Scholarship Home
    • Faculty & Staff Research
    • George R. Brown School of Engineering
    • Electrical and Computer Engineering
    • ECE Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Image Super-Resolution for Improved Automatic Target Recognition

    Thumbnail
    Name:
    Wag2004Apr5ImageSuper.PDF
    Size:
    535.4Kb
    Format:
    PDF
    View/Open
    Author
    Wagner, Raymond; Waagen, Donald; Cassabaum, Mary
    Date
    2005-01-25
    Abstract
    Infrared imagers used to acquire data for automatic target recognition are inherently limited by the physical properties of their components. Fortunately, image super-resolution techniques can be applied to overcome the limits of these imaging systems. This increase in resolution can have potentially dramatic consequences for improved automatic target recognition (ATR) on the resultant higher-resolution images. We will discuss super-resolution techniques in general and specifically review the details of one such algorithm from the literature suited to real-time application on forward-looking infrared (FLIR) images. Following this tutorial, a numerical analysis of the algorithm applied to synthetic IR data will be presented, and we will conclude by discussing the implications of the analysis for improved ATR accuracy.
    Description
    Conference Paper
    Citation
    R. Wagner, D. Waagen and M. Cassabaum, "Image Super-Resolution for Improved Automatic Target Recognition," 2004.
    Published Version
    http://dx.doi.org/10.1117/12.541161
    Keyword
    image super-resolution; automatic target recognition; FLIR; Image Processing and Pattern analysis; image super-resolution; More... automatic target recognition; FLIR Less...
    Type
    Conference paper
    Citable link to this page
    https://hdl.handle.net/1911/20417
    Metadata
    Show full item record
    Collections
    • DSP Publications [508]
    • ECE Publications [1468]

    Home | FAQ | Contact Us | Privacy Notice | Accessibility Statement
    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map

     

    Searching scope

    Browse

    Entire ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypeThis CollectionBy Issue DateAuthorsTitlesSubjectsType

    My Account

    Login

    Statistics

    View Usage Statistics

    Home | FAQ | Contact Us | Privacy Notice | Accessibility Statement
    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map