Adaptive filter processing method based on aerial images and terrain
Point cloud filtering is a crucial part of processing point cloud data,and its result often affects the final point cloud data quality.Due to the influence of vegetation and topography,the classification of point cloud filtering is often inaccurate,which causes the inconsistency between point cloud data and real terrain.In this paper,after high-precision registration of point cloud data and aerial images,the red,green,and blue(RGB)values of point cloud data were interpolated,and vegetation filtering was carried out by combining reflection intensity information and elevation information.The elevation of high and low anomaly points after vegetation filtering was calculated and fused into the fitted quadric surface for processing.Terrain features were described by selecting surface curvature,slope,Gaussian curvature,average curvature,and standard difference of elevation,and terrain adaptive threshold filtering was carried out according to terrain feature parameters.The results show that the vegetation can be effectively filtered by the above method,and the accuracy of point cloud filtering is obviously improved.The point cloud processed by this method is closer to the real terrain.
国家科技期刊平台
NSTL
万方数据
