A curvature-based statistical method for generating DTM from LiDAR Point Cloud

The result of Skewness Balancing based on elevation(SBE) contains non-ground points, which involve low vegetation, vehicle, and side of buildings. According to this problem, this paper proposes an algorithm to improve the precision of automatic filter and reduce the commission error. The algorithm is Curvature-based Statistical Method (CSM), which is based on the Skewness Balancing, and introduces curvature into Skewness Balancing. Compared with the result of Skewness Balancing based on elevation, the experiment demonstrates that the algorithm performs better.