Krogager decomposition and Pseudo-Zernike moments for polarimetric distributed ATR

Author

Gaglione, Domenico ; Clemente, Carmine ; Pallotta, Luca ; Proudler, Ian ; De Maio, A. ; Soraghan, John J.

Author_Institution

CESIP, Univ. of Strathclyde, Glasgow, UK

fYear

2014

fDate

8-9 Sept. 2014

Firstpage

1

Lastpage

5

Abstract

Automatic Target Recognition (ATR) is one of the most challenging areas of the modern radar signal processing field. In this paper a recognition algorithm for full-polarimetric SAR images, that is robust with respect to rotations and target roll, is presented. It is based on the use of the pseudo-Zernike moments and the Krogager decomposition components, and exploits multiple sources of information such as polarization and spatial diversity. The effectiveness of the proposed approach has been demonstrated with real full polarimetric SAR data.

Keywords

decomposition; image recognition; radar imaging; radar polarimetry; synthetic aperture radar; Krogager decomposition component; automatic target recognition; full-polarimetric SAR image recognition algorithm; polarimetric distributed ATR; polarization; pseudoZernike moment; radar signal processing; spatial diversity; Feature extraction; Image sensors; Scattering; Sensors; Synthetic aperture radar; Training;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensor Signal Processing for Defence (SSPD), 2014

Conference_Location

Edinburgh

Type

conf

DOI

10.1109/SSPD.2014.6943309

Filename

6943309