The invention discloses a method for automatically extracting point clouds of an electric tower from airborne LiDAR data. The electric tower is important contents in high-voltage line patrol. Based on the plane position and spatial geometric characteristics of the electric tower, a method for extracting the electric tower from point clouds of an airborne laser radar is proposed and comprises the steps of (1) performing electric tower point cloud coarse extraction on original point cloud data, obtained by the airborne laser radar, of a power transmission line according to a two-dimensional grid neighborhood clustering method; (2) preprocessing a coarse extraction result by adopting Kd-tree clustering and spatial grid region growth methods; (3) through a spatial geometric structure of the electric tower, extracting a main region of the electric tower, and determining a tower body edge line equation in combination with an RANSAC spatial linear fitting method; and (4) removing noisy points based on growth of a point cloud model of a main region of a line tower, and removing bottom noisy points of the electric tower by adopting a specific method in combination with different bottom structures of the electric tower, thereby finishing fine extraction of the point clouds of the electric tower. According to the method, fine classification of the point clouds of the electric tower is realized directly through structural characteristics of the point clouds of the electric tower; the problem of relatively poor quality of point cloud data of the electric tower can be solved to a certain extent; and the classification efficiency and precision are high.