Aiming at the problems of low accuracy and long running time of CNN in SAR target recognition, a new method of transfering VGG16 is proposed based on the combination of transfer learning with convolution neural network VGG16 structure.Firstly, the target features are extracted by fine-tuning the pre-training model of transfering VGG16 for the SAR target in the MSTAR dataset.Then the feature is classified and recognized by Softmax classifier.Experiments show that:The SAR target recognition rate of the transfering VGG16 is increased to 94.4%, compared with 86.2% and 90.8% of the existing VGG16 algorithm and the transfering LENET method.