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dc.contributor.authorWagner, Raymond
Waagen, Donald
Cassabaum, Mary
dc.creatorWagner, Raymond
Waagen, Donald
Cassabaum, Mary 2007-10-31T01:08:14Z 2007-10-31T01:08:14Z 2004-04-01 2004-04-01
dc.description Conference Paper
dc.description.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.
dc.language.iso eng
dc.subjectimage super-resolution
automatic target recognition
dc.subject.otherImage Processing and Pattern analysis
dc.title Image Super-Resolution for Improved Automatic Target Recognition
dc.type Conference paper 2005-01-25
dc.citation.bibtexName inproceedings 2005-01-25
dc.contributor.orgDigital Signal Processing (
dc.subject.keywordimage super-resolution
automatic target recognition
dc.citation.conferenceName SPIE Defense & Security Symposium
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doi 10.1117/12.541161
dc.identifier.citation R. Wagner, D. Waagen and M. Cassabaum, "Image Super-Resolution for Improved Automatic Target Recognition," 2004.

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  • ECE Publications [1093]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.

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