DocumentCode :
1440535
Title :
Target Recognition by Means of Polarimetric ISAR Images
Author :
Martorella, M. ; Giusti, E. ; Demi, L. ; Zhou, Z. ; Cacciamano, A. ; Berizzi, F. ; Bates, B.
Author_Institution :
Dept. of Inf. Eng., Univ. of Pisa, Pisa, Italy
Volume :
47
Issue :
1
fYear :
2011
fDate :
1/1/2011 12:00:00 AM
Firstpage :
225
Lastpage :
239
Abstract :
Automatic target recognition (ATR) is generally the reason why inverse synthetic aperture radar (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. The authors propose a novel technique for ATR using polarimetric ISAR (Pol-ISAR) images. The proposed method is based on a model matching approach. Results are obtained that show the effectiveness of such a technique.
Keywords :
image classification; radar imaging; radar polarimetry; radar target recognition; synthetic aperture radar; ATR; ISAR images; automatic target recognition; image classification; image quality; inverse synthetic aperture radar; polarimetric radar systems; radar imaging; Doppler effect; Feature extraction; Radar; Scattering; Solid modeling; Target recognition; Three dimensional displays;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/TAES.2011.5705672
Filename :
5705672
Link To Document :
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