Krogager decomposition and Pseudo-Zernike moments for polarimetric distributed ATR

Gaglione, Domenico and Clemente, Carmine and Pallotta, Luca and Proudler, Ian and De Maio, Antonio and Soraghan, John J.; (2014) Krogager decomposition and Pseudo-Zernike moments for polarimetric distributed ATR. In: 2014 Sensor Signal Processing for Defence (SSPD). IEEE, GBR, pp. 26-30. ISBN 978-1-4799-5294-6

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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.

ORCID iDs

Gaglione, Domenico ORCID logoORCID: https://orcid.org/0000-0001-7401-1659, Clemente, Carmine ORCID logoORCID: https://orcid.org/0000-0002-6665-693X, Pallotta, Luca, Proudler, Ian, De Maio, Antonio and Soraghan, John J. ORCID logoORCID: https://orcid.org/0000-0003-4418-7391;
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