Target Identification In Synthetic Aperture Radar Imagery Using Synthetic Discriminant Functions

Seshagiri Munipalli; Steven K. Rogers; David E. Meer; Matthew Kabrisky; Michael Bryant

doi:10.1117/12.960523

14 August 1989 Target Identification In Synthetic Aperture Radar Imagery Using Synthetic Discriminant Functions

Seshagiri Munipalli, Steven K. Rogers, David E. Meer, Matthew Kabrisky, Michael Bryant

Proceedings Volume 1101, Millimeter Wave and Synthetic Aperture Radar; (1989) https://doi.org/10.1117/12.960523
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

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.

Citation Download Citation

Seshagiri Munipalli, Steven K. Rogers, David E. Meer, Matthew Kabrisky, and Michael Bryant "Target Identification In Synthetic Aperture Radar Imagery Using Synthetic Discriminant Functions", Proc. SPIE 1101, Millimeter Wave and Synthetic Aperture Radar, (14 August 1989); https://doi.org/10.1117/12.960523

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