A ship target automatic recognition method based on moment and support vector machine（ SVM） is presented

in order to reliably and quickly recognize ship target in various postures. Three-dimensional ship models are projected into a two-dimensional image space by means of revolving around their pitch

yaw and roll axis

according to the characteristics of actual aerial model. Training and testing databases of samples are constructed

moment features of ships at different attitude are extracted. Ships are recognized by using the multi-class classifier.Based on SVM

and classification precision of different training and testing samples numbers are calcutated. The experimental results show that the recognition presion of this method in ship model image and true remote sensing image is high. The training sample and target recognizing time is short and this recognition system is robust by testing on multiple images in database.