Impact of SAR image quality on recognition

Daniel W. Carlson; Lee J. Montagnino; Robert T. Frankot

doi:10.1117/12.602431

19 May 2005 Impact of SAR image quality on recognition

Daniel W. Carlson, Lee J. Montagnino, Robert T. Frankot

Proceedings Volume 5808, Algorithms for Synthetic Aperture Radar Imagery XII; (2005) https://doi.org/10.1117/12.602431
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

Automatic target recognition (ATR) performance is a function of image quality and its representation in the signature model generation and used in the ATR training process. This paper reports ATR performance as a function of synthetic aperture radar (SAR) image quality parameters including clutter-to-noise ratio (CNR) and multiplicative noise ratio (MNR). Images with specified image quality values were produced by introducing controlled degradations to the MSTAR public release data. Two different families of ATR algorithms, the statistical model-based classifier of DeVore, et al., and optimal tradeoff synthetic discriminant function (OTSDF) are applied to those data. Target classification accuracy was measured as a function of CNR/MNR for both the training and test data, indicating sensitivity of performance to a priori knowledge of these particular image quality parameters. Confusion matrices are expanded to include target aspect bins, providing visibility into performance as a function of aspect angle.

Citation Download Citation

Daniel W. Carlson, Lee J. Montagnino, and Robert T. Frankot "Impact of SAR image quality on recognition", Proc. SPIE 5808, Algorithms for Synthetic Aperture Radar Imagery XII, (19 May 2005); https://doi.org/10.1117/12.602431

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