DocumentCode :
3135399
Title :
Automatic Target Recognition by means of polarimetric ISAR images: a model matching based algorithm
Author :
Martorella, Marco ; Giusti, E. ; Demi, Libertario ; Zhou, Zhengchun ; Cacciamano, A. ; Berizzi, F. ; Bates, B.
Author_Institution :
Dept. of Ing. dell ´Inf., Univ. of Pisa, Pisa
fYear :
2008
fDate :
2-5 Sept. 2008
Firstpage :
27
Lastpage :
31
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.
Keywords :
image classification; image recognition; radar imaging; radar polarimetry; synthetic aperture radar; ISAR imaging systems; automatic target recognition; image classification; image quality; model matching based algorithm; polarimetric ISAR images; polarimetric radar systems; radar imaging; Australia; Image databases; Image recognition; Image reconstruction; Polarization; Radar applications; Radar imaging; Radar scattering; Spatial databases; Target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar, 2008 International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
978-1-4244-2321-7
Electronic_ISBN :
978-1-4244-2322-4
Type :
conf
DOI :
10.1109/RADAR.2008.4653886
Filename :
4653886
Link To Document :
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