As different wind shear presents different characteristics of texture on the laser radar images，a recognition algorithm which combines local and global texture features is proposed.Firstly，local Binary Pattern(LBP) features and Gray-Gradient Co-occurrence Matrix(GGCM) features are extracted from the laser radar images respectively，LBP features react the local texture of the images and represent the changes of wind speed of local wind farm，GGCM features react the global texture of the images and represent the speed changes of whole wind field.The two features are fused through Canonical Correlation Analysis(CCA)，finally the nearest neighbor classifier is adopted to match three different wind shears.Experiment results show that the recognition rate of the proposed algorithm on the three kinds of low altitude wind shear can reach 99.02%.Compared with three kinds of single texture，the recognition rate is raised by 18.86%，5.88% and 7.01% respectively.