Automatic target recognition by means of polarimetric ISAR images: a model matching based algorithm
Date
2008
Authors
Martorella, M.
Giusti, E.
Demi, L.
Zhou, Z.
Cacciamano, A.
Berizzi, F.
Bates, B.
Editors
Bevan Bates,
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Proceedings of the 2008 International Conference on Radar, 2-5 September, 2008:pp.27-31
Statement of Responsibility
M. Martorella, E. Giusti, L. Demi, Z. Zhou, A. Cacciamano, F. Berizzi and B. Bates
Conference Name
International Conference on Radar (2008 : Adelaide, Australia)
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.
School/Discipline
Dissertation Note
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Description
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Rights
© 2008 IEEE