Laser point cloud data can be used to obtain more accurate terrain data, while the current laser point cloud mainly uses single-band pulse, which cannot provide sufficient and effective spectral information. In this paper, laser point cloud data is combined with the extraction of transmission line corridor information. According to the feature of the transmission line corridor, 3D data of point cloud information is used to identify the feature with different geometric features, and a transmission line corridor automatic recognition technology based on airborne laser point cloud data is designed. Firstly, by calculating the surface feature of point cloud and the dimension feature of neighborhood radius, the transmission line of linear target is selected and extracted. Secondly, the method of cloth filtering is used to distinguish the ground and vegetation point clouds, and a cylindrical model is constructed to determine the tower point according to the prior coordinate information of the tower. Finally, the method proposed in this article is verified through experiments. The results show that the overall classification accuracy is relatively high. Under the identification of four types of features such as transmission lines, towers, vegetation and ground, user accuracy reaches 95.29%, 82%, 95.84%, and 94.3%, respectively, and mapping accuracy reaches 98.54%, 95.64%, 98.3% and 85.38%. The research results can provide certain reference value for the identification of multiple types of transmission line corridors.