Study on the application of point cloud denoising in Gobi desert surface

Abstract

Affected by the noise of desert environment and UAV mechanical system, the surface point cloud data will be mixed with noise points when we extracted the data from photos of UAV with overlapping regions. These noise points will seriously reduce the precision of DEM and DLG. In this paper, we use a denoising combination of two filter methods, Topscan filter is used to remove large-scale noise points and bilateral filter is used to deal with small noise during the surface point cloud. Experiments shows, the denoising combination can remove the noise points and improve the quality of aerophotogrammetry products.