Low-complexity multidiscriminant FOPEN target screener

John D. Gorman; Jay A. Marble

doi:10.1117/12.321835

15 September 1998 Low-complexity multidiscriminant FOPEN target screener

John D. Gorman, Jay A. Marble

Proceedings Volume 3370, Algorithms for Synthetic Aperture Radar Imagery V; (1998) https://doi.org/10.1117/12.321835
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

We present a low-complexity model-based FOPEN target detection algorithm and discuss its potential application as a target screener within an end-to-end FOPEN SAR automatic target detection system. The algorithm uses multiple discriminants extracted over a local sliding window followed by a multivariate discrimination rule to perform target screening at the pixel level. We present detection performance results obtained against FOPEN SAR imagery and show that the multidiscriminant approach achieves better detection performance than a model-template matched-filter detection algorithm.

Citation Download Citation

John D. Gorman and Jay A. Marble "Low-complexity multidiscriminant FOPEN target screener", Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998); https://doi.org/10.1117/12.321835

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