期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B3b
页码：247-252
出版社：Copernicus Publications
摘要：Data sets acquired by LIDAR consist of land surface information and non-surface information, through some filter methods can get rid of non-surface information, but leave behind non-data area, some importance terrain feature maybe disappear. Using those data to construct DEM can't keep precise. we present an PCPFD algorithm for constructing a grid DEM from point cloud and feature data. The empirical results show that the PCPFD algorithm is more availability within the interpolation based on Nearest neighbour finding phase and the filter phase, lots of computation time saved. The precision of the result Grid DEM satisfy national standard proved by GPS points
关键词：DEM; LIDAR; Point Cloud; Feature Data ;Pattern Recognition
