A voxel-based methodology to detect (clustered) outliers in aerial lidar point clouds

To obtain 3D information of the Earth’s surface, airborne LiDAR technology<br/>is used to quickly capture high-precision measurements of the terrain.<br/>Unfortunately, laser scanning techniques are prone to producing outliers<br/>and noise (i.e. wrong measurements). Therefore, a pre-process of the point<br/>cloud is required to detect and...