Since the images of an aircraft target are much different from each other under various conditions of different observed angle, locality and illumination, many classical dimensional reduction and feature extracting methods are not effective to recognize the aircraft target.A recognition method of radar target is proposed based on two-dimensional locality sensitive discriminant analysis (2DLSDA).Firstly, two graphs respectively representing intra-class and inter-class neighbor relationship are constructed.Then, weight matrixes are calculated out.Finally, two orthogonal transform matrixes are computed out based on Schur decomposition.The projection matrix is obtained and then the dimensionality of the image is reduced.Thus the small-sample-size problem can be overcome.The recognition results on radar targets show that the proposed method is very effective and feasible.