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Proceedings Paper

Template-based SAR ATR performance using different image enhancement techniques
Author(s): Gregory J. Owirka; Shawn M. Verbout; Leslie M. Novak
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Paper Abstract

The Lincoln Laboratory baseline ATR system for synthetic aperture radar (SAR) data applies a super-resolution technique known as high-definition vector imaging (HDVI) before the input image is passed through the final target classification subsystem. In previous studies, it has been demonstrated that HDVI improves target recognition performance significantly. Recently, however, several other viable SAR image enhancement techniques have been proposed and discussed in the literature which could be used in place of (or perhaps in conjunction with) the HDVI technique. This paper compares the performance achieved by the Lincoln Laboratory template-based classification subsystem when these alternative image enhancement techniques are used instead of the HDVI technique. In addition, empirical evidence is presented suggesting that target recognition performance could be further improved by fusing the classifier outputs generated by the best image enhancement techniques.

Paper Details

Date Published: 13 August 1999
PDF: 18 pages
Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); doi: 10.1117/12.357648
Show Author Affiliations
Gregory J. Owirka, MIT Lincoln Lab. (United States)
Shawn M. Verbout, MIT Lincoln Lab. (United States)
Leslie M. Novak, MIT Lincoln Lab. (United States)


Published in SPIE Proceedings Vol. 3721:
Algorithms for Synthetic Aperture Radar Imagery VI
Edmund G. Zelnio, Editor(s)

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