Aiming at the limitation of high accuracy and real-time performance when the airborne lidar scanning and ranging system (LiDAR) is used in complex terrain classification scenes,a fast terrain classification method based on LiDAR data based on the tip τ trust distribution function is proposed.Firstly,the fuzzy set theory is introduced on the basis of the basic DS evidence theory,and the sharp τ trust assignment function and fuzzy category are constructed according to the characteristics of different features,and the trust assignment and fusion decision-making of different feature data are carried out.Secondly,the source data noise and the noise introduced in the classification process are processed.Finally,two different LiDAR data sets are used to experiment with the method.Experimental results show that the classification accuracy of this method is above 88.50%,and the running time is less than 0.28 s.