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Image Super-Resolution for Improved Automatic Target Recognition

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Title: Image Super-Resolution for Improved Automatic Target Recognition
Author: Wagner, Raymond; Waagen, Donald; Cassabaum, Mary
Type: Conference Paper
Keywords: image super-resolution; automatic target recognition; FLIR
Citation: R. Wagner, D. Waagen and M. Cassabaum,"Image Super-Resolution for Improved Automatic Target Recognition," in SPIE Defense & Security Symposium,
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.
Date Published: 2004-04-01

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  • ECE Publications [1046 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.