Template-based SAR ATR performance using different image enhancement techniques

Gregory J. Owirka; Shawn M. Verbout; Leslie M. Novak

doi:10.1117/12.357648

13 August 1999 Template-based SAR ATR performance using different image enhancement techniques

Gregory J. Owirka, Shawn M. Verbout, Leslie M. Novak

Proceedings Volume 3721, Algorithms for Synthetic Aperture Radar Imagery VI; (1999) https://doi.org/10.1117/12.357648
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Gregory J. Owirka, Shawn M. Verbout, and Leslie M. Novak "Template-based SAR ATR performance using different image enhancement techniques", Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); https://doi.org/10.1117/12.357648

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