Toward automatic parameter tuning in segmentation method for airborne laser scanning data filtering

Digital terrain model generation (DTM) is one of the main applications of Airborne Laser Scanning (ALS) data which are recorded as the set of 3D point clouds. Processing the large amount of point clouds with manual classification (filtering) methods is very time consuming. Subsequently it needs automatic or semi-automatic algorithms for extracting bare earth by producing DTM. Numerous kinds of filtering methods are developed to extract DTM from point clouds.