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.
Gaglione, D., Clemente, C., Pallotta, L., Proudler, I., De Maio, A., Soraghan, J.J. (2014). Krogager decomposition and Pseudo-Zernike moments for polarimetric distributed ATR. In 2014 Sensor Signal Processing for Defence, SSPD 2014 (pp.1-5). Institute of Electrical and Electronics Engineers Inc. [10.1109/SSPD.2014.6943309].
Krogager decomposition and Pseudo-Zernike moments for polarimetric distributed ATR
Pallotta L.;
2014-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
