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 FSAR (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.
Automatic Target Recognition by means of polarimetric ISAR images: a model matching based algorithm / Martorella, Marco; Giusti, Elisa; Demi, Libertario; Zhou, Zheng-Shu; Cacciamano, Andrea; Berizzi, Fabrizio; Bates, Bevan. - (2008), pp. 27-31. ( 2008 International Conference on Radar, Radar 2008 Adelaide, Australia 2-5 Sept. 2008) [10.1109/RADAR.2008.4653886].
Automatic Target Recognition by means of polarimetric ISAR images: a model matching based algorithm
Libertario Demi;
2008-01-01
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 FSAR (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.| File | Dimensione | Formato | |
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