SLOPE IMPROVED MORPHOLOGICAL FILTERING ALGORITHM FOR LIDAR POINT CLOUDS
Li Feng1,2) ; Cui Ximin1,2); Yuan Debao1,2); Wang Guo1,2);and Zhang Ling1,2)
1)State Key Laboratory of Coal Resources and Safe Mining, CUMTB, Beijing 100083;2)College of Geoscience and Surveying Engineering, CUMTB, Beijing 100083
Abstract：In order to solve the problems on overmuch predefine parameters prior to performing classical morphological filter, this paper proposes an improved slope morphological filter algorithm. Firstly, an average approximate slope of the whole data sets is automatically calculated, and then the height difference threshold used in window iteration is estimated.Furthermore, the sorts of several point clouds in a grid are identified according to a slope of a grid and height difference threshold. As a result, terrain points are retained and nonterrain points are removed. The experimental results show that this approach is able to remove majority offground points effectively and reduce type Ⅰ errors along with total errors by means of inputting a maximum building size and errors of LiDAR.
