基于地形特征的点云自适应坡度滤波及DEM构建OA

To improve the accuracy and efficiency of point cloud filtering and digital elevation model(DEM)construction in complex terrains,this paper proposes an adaptive slope filtering algorithm based on terrain features.This method dynamically adjusts grid size and slope thresholds according to terrain slope characteristics,achieving effective separation of ground and non-ground points in airborne point clouds,and uses the filtered point cloud to construct DEMs and contour maps.Experimental results show that the filtering accuracy of the algorithm reaches 92.7％,and the root mean square error of the constructed DEM elevation is 0.061 m,meeting the accuracy requirements for practical engineering applications,which validates its effectiveness and reliability in complex mountainous terrains.