Abstract: The aircraft as a 3D object, the position of the plane will change in the different angle of view. Aiming at the low recognition rate of aircraft under multiple viewpoints and multiple positions, an aircraft recognition method based on DSmT(Dezert-Smarandache theory) and SVM(Support Vector Machine) classifier on multiple features under multi-views is proposed. Firstly, the image is preprocessed with binarization and then multiple features are extracted. Moreover, for the problem of the construction of the basic belief assignment in DSmT is difficult, the basic belief assignment is proposed to assign the evidence sources by SVM classifier. Finally, based on DSmT combination rules on decision level fusion the aircraft target recognition are completed. According to the experiment results, this algorithm has a high recognition rate even though aircraft under multiple viewpoints and multiple positions.