Simulation are made to identify different types of low-level wind shears by extracting texture features based on wavelet transform and using BP neural network.Firstly the simulated radar scan images are generated by using the existing simulated radar data,then the wind shear regions are extracted by threshold segmentation;The following step is two levels wavelet decomposition on it;The feature vectors are obtained from the mean and standard deviation of each sub-band′s wavelet coefficients.Finally,BP neural network is used to get the classification results by identifying the eigenvector inputted.The simulation results show that the algorithm has a good feasibility.