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Proceedings Paper

Target Identification In Synthetic Aperture Radar Imagery Using Synthetic Discriminant Functions
Author(s): Seshagiri Munipalli; Steven K. Rogers; David E. Meer; Matthew Kabrisky; Michael Bryant
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Paper Abstract

This paper investigates the use of synthetic discriminant functions (SDFs) for pattern recognition applicable to computer generated synthetic aperture radar (SAR) imagery. Complex valued and real valued projection SDFs are constructed and tested to determine their effectiveness as SAR pattern recognizers. In addition, SDFs mapped to a position, scale, rotation invariant (PSRI) feature space are tested and compared to conventional projection SDFs.

Paper Details

Date Published: 14 August 1989
PDF: 14 pages
Proc. SPIE 1101, Millimeter Wave and Synthetic Aperture Radar, (14 August 1989); doi: 10.1117/12.960523
Show Author Affiliations
Seshagiri Munipalli, Air Force Institute of Technology (United States)
Steven K. Rogers, Air Force Institute of Technology (United States)
David E. Meer, Air Force Institute of Technology (United States)
Matthew Kabrisky, Air Force Institute of Technology (United States)
Michael Bryant, Avionics Laboratory (United States)


Published in SPIE Proceedings Vol. 1101:
Millimeter Wave and Synthetic Aperture Radar
G. Keith Huddleston; Martin E. Tanenhaus; Brian P. Williams, Editor(s)

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