The Effect of Point Density on Point Cloud Filtering Performance

Point cloud filtering is an important step in Digital Terrain Model (DTM) production. Despite the fact that a great body of research has been conducted this area so far, there are still some problems have not yet solved, especially complex terrains. The use user-defined parameters within presented point methods, and difficulty parameter estimation parallel to increase topography slope above-ground object diversity, decreases success. Another problem proper specification density be studied. density, which generally specified considering ground sampling distance DTM, influences success process, therefore, accuracy DTM produced. In study, five Unmanned Aerial System (UAS)-based clouds different densities were filtered using two algorithms Cloth Simulation Filtering (CSF) gLiDAR examine impacts on It was found performance decreased as increased.