Research on Drone Point Cloud Hole Filling Method in Tea Plantation Areas
Abstract：To solve the problem of drone point cloud holes in tea plantation areas, this paper combines the characteristic that the terrain of tea plantation areas is generally step-like, and proposes to divide the point cloud into different levels based on elevation. Then, the least squares method is used to fill the holes in each level. Through experiments, the algorithm can effectively repair the point cloud holes in tea plantation areas. Compared with actual point clouds, the minimum error after repair is 0.008 m. Compared with other algorithms, this algorithm has a significant advantage in calculation speed, and the number of repaired point clouds is also significantly increased. During the experiment, the algorithm repaired a total of 11,758 point cloud data, and the hole filling took only 1.558 seconds.
Keywords：Point cloud dataHole fillingElevation stratificationLeast squares method
Publication Date：2025-02-27
Pages：4( 61-64 )