Abstract: Aiming at the problem that the standard support vector machines(SVM) can not provide the posterior probability in the recognition of Lidar wind shear images, a modeling method of probability support vector machines based on fuzzy C-Means(FCM) was proposed. Firtly, gray-gradient co-occurrence matrix(GGCM) features was extracted from the laser radar images, then the classification face was determined by the support vector machines; at last, the constraints and FCM were adopted to determine the probability distribution of the samples. Experiment results show that the recognition rate of the proposed algorithm on the three kinds of low altitude wind shear can achieve to 95.52%; compared with two kinds of similar algorithms, the recognition rate is raised by 1.27% and 1.21% respectively.