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Image Super-Resolution for Improved Automatic Target Recognition

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dc.contributor.author Wagner, Raymond
Waagen, Donald
Cassabaum, Mary
dc.creator Wagner, Raymond
Waagen, Donald
Cassabaum, Mary
dc.date.accessioned 2007-10-31T01:08:14Z
dc.date.available 2007-10-31T01:08:14Z
dc.date.issued 2004-04-01
dc.date.submitted 2004-04-01
dc.identifier.uri http://hdl.handle.net/1911/20417
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.subject image super-resolution
automatic target recognition
FLIR
dc.subject.other Image Processing and Pattern analysis
dc.title Image Super-Resolution for Improved Automatic Target Recognition
dc.type Conference Paper
dc.date.note 2005-01-25
dc.citation.bibtexName inproceedings
dc.date.modified 2005-01-25
dc.contributor.center Digital Signal Processing (http://dsp.rice.edu/)
dc.subject.keyword image super-resolution
automatic target recognition
FLIR
dc.citation.conferenceName SPIE Defense & Security Symposium
dc.type.dcmi Text
dc.identifier.citation R. Wagner, D. Waagen and M. Cassabaum,"Image Super-Resolution for Improved Automatic Target Recognition," in SPIE Defense & Security Symposium,

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  • ECE Publications [1034 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.