A multiresolution hierarchical classification algorithm for filtering airborne LiDAR data
A multiresolution hierarchical classification algorithm for filtering airborne LiDAR data
复制标题
一种用于过滤机载激光雷达数据的多分辨率分层分类算法
DOI：
10.1016/j.isprsjprs.2013.05.001
复制
发表时间：
2013-08-01
影响因子：
12.7
通讯作者：
Dai, Honglei
中科院分区：
文献类型：
--
作者：
Chen, Chuanfa;Li, Yanyan;Dai, Honglei
We presented a multiresolution hierarchical classification (MHC) algorithm for differentiating ground from non-ground LiDAR point cloud based on point residuals from the interpolated raster surface. MHC includes three levels of hierarchy, with the simultaneous increase of cell resolution and residual threshold from the low to the high level of the hierarchy. At each level, the surface is iteratively interpolated towards the ground using thin plate spline (TPS) until no ground points are classified, and the classified ground points are used to update the surface in the next iteration. 15 groups of benchmark dataset, provided by the International Society for Photogrammetry and Remote Sensing (ISPRS) commission, were used to compare the performance of MHC with those of the 17 other publicized filtering methods. Results indicated that MHC with the average total error and average Cohen's kappa coefficient of 4.11% and 86.27% performs better than all other filtering methods. (c) 2013 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) Published by Elsevier B.V. All rights reserved.
