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Proceedings Paper

Image superresolution for improved automatic target recognition
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Paper 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 superresolution 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.

Paper Details

Date Published: 21 September 2004
PDF: 9 pages
Proc. SPIE 5426, Automatic Target Recognition XIV, (21 September 2004); doi: 10.1117/12.541161
Show Author Affiliations
Raymond S. Wagner, Rice Univ. (United States)
Donald E. Waagen, Raytheon Missile Systems Co. (United States)
Mary L. Cassabaum, Raytheon Missile Systems Co. (United States)


Published in SPIE Proceedings Vol. 5426:
Automatic Target Recognition XIV
Firooz A. Sadjadi, Editor(s)

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