标题:A multiresolution hierarchical classification algorithm for filtering airborne LiDAR data
作者:Chen, Chuanfa; Li, Yanyan; Li, Wei; Dai, Honglei
作者机构:[Chen, Chuanfa; Li, Wei; Dai, Honglei] Shandong Univ Sci & Technol, Geomat Coll, Qingdao 266590, Peoples R China.; [Li, Yanyan] Wuhan Univ, Shool Ge 更多
通讯作者:Chen, C
通讯作者地址:[Chen, CF]Shandong Univ Sci & Technol, Geomat Coll, Qingdao 266590, Peoples R China.
来源:ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
出版年:2013
卷:82
页码:1-9
DOI:10.1016/j.isprsjprs.2013.05.001
关键词:LiDAR; Filtering; Thin plate spline; Accuracy
摘要: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.
收录类别:EI;SCIE
WOS核心被引频次:58
资源类型:期刊论文
TOP