1 August 2002 Analysis of the impact of feature-enhanced SAR imaging on ATR performance
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Abstract
We present an evaluation of the impact of a recently proposed feature-enhanced synthetic aperture radar (SAR) imaging technique on automatic target recognition (ATR) performance. We run recognition experiments using conventional and feature-enhanced SAR images of military targets, in three different classifiers. The first classifier is template-based. The second classifier makes a decision through a likelihood test, based on Gaussian models for reflectivities. The third classifier is based on extracted locations of the dominant target scatterers. The experimental results demonstrate that feature-enhanced SAR imaging can improve the recognition performance, especially in scenarios involving reduced data quality or quantity.
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Mujdat Cetin, William Clement Karl, David A. Castanon, "Analysis of the impact of feature-enhanced SAR imaging on ATR performance", Proc. SPIE 4727, Algorithms for Synthetic Aperture Radar Imagery IX, (1 August 2002); doi: 10.1117/12.478673; https://doi.org/10.1117/12.478673
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