A VOXEL-BASED FILTERING ALGORITHM FOR MOBILE LIDAR DATA

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Yu, Y.^2¹  Qin, H.^1²  Guan, G.^1³ 

[1] Changjiang Spatial Information Technology Engineering Co., Ltd., Wuhan 410010, China^3;College of Remote Sensing and Geometics Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China^1;Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian, 223003, China^2

关键词: Mobile LiDAR;    filtering;    voxelization;    upward growing;    curvature;   

DOI  :  10.5194/isprs-archives-XLII-3-1433-2018

学科分类：地球科学(综合)

来源: Copernicus Publications

【 摘 要 】

This paper presents a stepwise voxel-based filtering algorithm for mobile LiDAR data. In the first step, to improve computational efficiency, mobile LiDAR points, in xy-plane, are first partitioned into a set of two-dimensional (2-D) blocks with a given block size, in each of which all laser points are further organized into an octree partition structure with a set of three-dimensional (3-D) voxels. Then, a voxel-based upward growing processing is performed to roughly separate terrain from non-terrain points with global and local terrain thresholds. In the second step, the extracted terrain points are refined by computing voxel curvatures. This voxel-based filtering algorithm is comprehensively discussed in the analyses of parameter sensitivity and overall performance. An experimental study performed on multiple point cloud samples, collected by different commercial mobile LiDAR systems, showed that the proposed algorithm provides a promising solution to terrain point extraction from mobile point clouds.

【 授权许可】

CC BY