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