Image Super-Resolution for Improved Automatic Target Recognition

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameSPIE Defense & Security Symposiumen_US
dc.contributor.authorWagner, Raymonden_US
dc.contributor.authorWaagen, Donalden_US
dc.contributor.authorCassabaum, Maryen_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T01:08:14Z
dc.date.available2007-10-31T01:08:14Z
dc.date.issued2004-04-01en
dc.date.modified2005-01-25en_US
dc.date.note2005-01-25en_US
dc.date.submitted2004-04-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractInfrared 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.en_US
dc.identifier.citationR. Wagner, D. Waagen and M. Cassabaum, "Image Super-Resolution for Improved Automatic Target Recognition," 2004.
dc.identifier.doihttp://dx.doi.org/10.1117/12.541161en_US
dc.identifier.urihttps://hdl.handle.net/1911/20417
dc.language.isoeng
dc.subjectimage super-resolution*
dc.subjectautomatic target recognition*
dc.subjectFLIR*
dc.subject.keywordimage super-resolutionen_US
dc.subject.keywordautomatic target recognitionen_US
dc.subject.keywordFLIRen_US
dc.subject.otherImage Processing and Pattern analysisen_US
dc.titleImage Super-Resolution for Improved Automatic Target Recognitionen_US
dc.typeConference paper
dc.type.dcmiText
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