Effects of Image Quality on SAR Target Recognition
نویسنده
چکیده
Target recognition systems using Synthetic Aperture Radar (SAR) data require well-focused target imagery to achieve high probability of correct classification. Techniques for improving the image quality of complex SAR imagery are investigated. The application of phase gradient re-focusing of target imagery having crossrange smearing is shown to significantly improve the target recognition performance of a model-based ATR system. The application of High Definition Imaging (HDI) is also shown to enhance and improve the image quality and resolution of SAR target imagery -the improvement in target recognition performance of a template-based ATR system using HDI-processed SAR imagery is quantified. Interruptions in SAR phase history data are shown to significantly degrade SAR image quality; CS-based image formation (Basis Pursuit Denoising) is demonstrated to mitigate the effects of data interruptions, providing complex SAR imagery with excellent image quality. Effects of Image Quality on SAR Target Recognition 5 2 STO-EN-SET-172-2013
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