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Proceedings Paper

Analysis of spatially mismatched imagery for synthetic aperture radar ATR classification
Author(s): Chad T. Rupp; Shawn D. Halversen; Lee J. Montagnino; Christina L. Hebert; Matthew T. Young; Mary L. Cassabaum; Neilson Ku
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Paper Abstract

Template-based classification algorithms used with synthetic aperture radar (SAR) automatic target recognition (ATR) degrade in performance when used with spatially mismatched imagery. The degradation, caused by a spatial mismatch between the template and image, is analyzed to show acceptable tolerances for SAR systems. The mismatch between the image and template is achieved by resampling the test imagery to different pixel spacings. A consistent SAR dataset is used to examine pixel spacings between 0.1069 and 0.2539 meters with a nominal spacing of 0.2021 meters. Performance degradation is observed as the pixel spacing is adjusted, Small amounts of variation in the pixel spacing cause little change in performance and allow design engineers to set reliable tolerances. Alternatively, the results show that using templates and images collected from slightly different sensor platforms is a very real possibility with the ability to predict the classification performance.

Paper Details

Date Published: 2 May 2008
PDF: 9 pages
Proc. SPIE 6967, Automatic Target Recognition XVIII, 69670H (2 May 2008); doi: 10.1117/12.778105
Show Author Affiliations
Chad T. Rupp, Raytheon Missile Systems (United States)
Shawn D. Halversen, Raytheon Missile Systems (United States)
Lee J. Montagnino, Raytheon Missile Systems (United States)
Christina L. Hebert, Raytheon Missile Systems (United States)
Matthew T. Young, Raytheon Missile Systems (United States)
Mary L. Cassabaum, Raytheon Missile Systems (United States)
Neilson Ku, Raytheon Space and Airborne Systems (United States)


Published in SPIE Proceedings Vol. 6967:
Automatic Target Recognition XVIII
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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