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
fDate :
1/1/2011 12:00:00 AM
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;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2011.5705672