Abstract:Compact polarimetric Synthetic Aperture Radar(SAR) has a congenital advantage in marine surveillance over full polarimetric SAR for its wider swath. A new ship detection method on compact polarimetric SAR image based on weighted Support Vector Machine(SVM) and m-χ decomposition is proposed. Firstly, the proposed method constructs the weighted feature vectors by extracting the compact polarimetric parameters. Then, the ship targets in compact polarimetric SAR image are detected by the weighted SVM classifier. Finally, the false alarms are wiped off according to scattering mechanism strength differences corresponding to the three components of m-χ decomposition. The NASA/JPL AIRSAR airborne full polarimetric data and the Radarsat-2 satellite-borne full polarimetric data are used to simulate the compact polarimetric data in the Circular Transmit-Linear Receive(CTLR) mode, and the experimental results show that the method performs well in detecting ship targets, and can remove the false alarms and ambiguities effectively.