Automatic Target Recognition by means of polarimetric ISAR images: a model matching based algorithm
Adelaide, SA（2008）
Abstract
Automatic target recognition (ATR) is generally the reason why ISAR imaging systems are employed. Moreover, the use of fully polarimetric radar systems in radar imaging applications such as SAR and ISAR has enhanced both image quality and classification capabilities. In this paper, the authors propose a novel technique for ATR by using Polarimetric ISAR (Pol-ISAR) images. The proposed method is based on a model matching approach. Results are obtained by using real data that show the effectiveness of such technique.
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Key words
synthetic aperture radar,image quality,model matching based algorithm,polarimetric radar systems,image recognition,automatic target recognition,image classification,polarimetric isar images,radar imaging,isar imaging systems,radar polarimetry,doppler effect,radar,feature extraction,scattering,solid modeling
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