北京测绘2024，Vol.38Issue(9)：1253-1259,7.DOI:10.19580/j.cnki.1007-3000.2024.09.003
基于航空影像和地形自适应滤波处理方法
Adaptive filter processing method based on aerial images and terrain
摘要
Abstract
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.关键词
航空影像/点云滤波/RGB值/反射强度/阈值滤波Key words
aerial images/point cloud filtering/RGB value/reflection intensity/threshold filtering分类
天文与地球科学引用本文复制引用
樊小涛,杨柳,何友福..基于航空影像和地形自适应滤波处理方法[J].北京测绘,2024,38(9):1253-1259,7.基金项目
重庆市技术创新与应用发展专项重点项目(CSTB2022TIAD-KPX0132) （CSTB2022TIAD-KPX0132）
长江水利委员会水文局科研项目(SWJ-24CJX18) （SWJ-24CJX18）
长江水利委员会水文局长江上游水文水资源勘测局科研项目(SYJ-KJCX23HD002). （SYJ-KJCX23HD002）
