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http://dx.doi.org/10.5515/KJKIEES.2011.22.11.1063

A Study on Automatic Target Recognition Using SAR Imagery  

Park, Jong-Il (Department of Electronic Engineering, POSTECH)
Kim, Kyung-Tae (Department of Electronic Engineering, POSTECH)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.22, no.11, 2011 , pp. 1063-1069 More about this Journal
Abstract
NCTR(Non-Cooperative Target Recognition) and ATR(Automatic Target Recognition) are methodologies to identify military targets using radar, optical, and infrared images. Among them, a strategy to recognize ground targets using synthetic aperature radar(SAR) images is called SAR ATR. In general, SAR ATR consists of three sequential stages: detection, discrimination and classification. In this paper, a modification of the polar mapping classifier(PMC) to identify inverse SAR(ISAR) images has been made in order to apply it to SAR ATR. In addition, a preprocessing scheme can mitigate the effect from the clutter, and information on the shadow is employed to improve the classification accuracy.
Keywords
SAR; Ground Target; ATR; Classifier;
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