海量机载LiDAR点云改进滤波算法研究  

Research on Improved Filtering Algorithm of Massive Airborne LiDAR Point Cloud

作　　者：颜煜 隋广岩 YAN Yu;SUI Guangyan(Zhejiang Institute of Surveying and Mapping Science and Technology,Hangzhou 310030,China)

机构地区：[1]浙江省测绘科学技术研究院,浙江杭州310030

出　　处：《测绘与空间地理信息》2024年第1期213-215,218,221,共5页Geomatics & Spatial Information Technology

摘　　要：为了提高机载LiDAR点云滤波算法在点云滤波中的精度与效率,本文在已有的多级移动曲面拟合滤波算法的基础上提出一种多级多窗口移动曲面拟合算法(WHMCFA)。该改进滤波算法能够有效解决HMCFA滤波算法中存在的曲面拟合精度低、粗差率高等问题。同时,为了提高LiDAR点云数据的滤波效率,在WHMCFA的基础上设计并实现PWHMCFA并行滤波算法。将本文改进滤波算法应用于机载LiDAR点云数据滤波处理中,结果表明,与传统滤波算法相比,本文提出改进滤波算法的滤波精度更高,滤波效果更好。In order to improve the accuracy and efficiency of airborne LiDAR point cloud filtering algorithm in point cloud filtering,a multi-window hierarchical moving curved fitting algorithm(WHMCFA)is proposed based on the existing hierarchical moving curved fitting algorithm(HMCFA).The improved filtering algorithm can effectively solve the problems of low surface fitting accuracy and high gross error rate in HMCFA.At the same time,in order to improve the filtering efficiency of LiDAR point cloud data,PWHMCFA parallel filtering algorithm is designed and implemented on the basis of WHMCFA.By applying the improved filtering algorithm to the filtering processing of Airborne LiDAR point cloud data,as compared with the traditional filtering algorithm,the results show the improved filtering algorithm proposed in this paper has higher filtering accuracy and better filtering effect.

关 键 词：机载LiDAR点云数据 滤波 多级移动曲面拟合滤波算法 多级多窗口移动曲面拟合滤波算法 

分 类 号：P225[天文地球—大地测量学与测量工程] TN959.73[天文地球—测绘科学与技术]