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作 者:冯晓珂 吕沛娴 张卡 沈华康[1,3] 叶龙杰 赵娜 杨盈 FENG Xiaoke;L Peixian;ZHANG Ka;SHEN Huakang;YE Longjie;ZHAO Na;YANG Ying(School of Geography,Nanjing Normal University,Nanjing 210023,China;Zhenjiang Jingqin Surveying and Mapping Co.,Ltd.,Zhenjiang 212009,China;Nanjing Normal University Key Laboratory of Virtual Geographic Environment,Ministry of Education,Nanjing 210023,China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China;Shenzhen Data Management Center of Planning and Natural Resource,Shenzhen 518034,China)
机构地区:[1]南京师范大学地理科学学院,江苏南京210023 [2]镇江市精勤测绘有限公司,江苏镇江212009 [3]南京师范大学虚拟地理环境教育部重点实验室,江苏南京210023 [4]江苏省地理信息资源开发与利用协同创新中心,江苏南京210023 [5]深圳市规划和自然资源数据管理中心,广东深圳518034
出 处:《测绘通报》2023年第7期58-62,共5页Bulletin of Surveying and Mapping
基 金:国家自然科学基金(42271342);江苏省自然科学基金(BK20201372);江苏高校优势学科建设工程资助项目(164320H116);南京师范大学校级教改研究课题重点项目(2019NSDJG010);南京师范大学校级教学团队项目。
摘 要:在基于激光点云构建DEM的过程中,用于区分地面点和非地面点的点云滤波处理至关重要。本文面向基于机载LiDAR点云的沿海滩涂DEM高精度的构建需求,提出了一种机载LiDAR点云的改进坡度滤波算法。首先,采用统计异常值剔除法(SOR)去除原始机载LiDAR点云数据中的噪声;然后,利用规则格网的坡度和高程阈值,设计了适用于滩涂点云数据的地面点坡度滤波方法;最后,选取如东市长沙港的滩涂机载LiDAR点云作为试验数据,构建滩涂DEM,并进行精度检验。试验结果表明,利用本文方法处理后的LiDAR点云构建的DEM精度满足国家与行业标准的要求。In the process of constructing DEM based on laser point cloud,point cloud filtering is very important to distinguish ground points and non-ground points.Considering the requirement of high-precision DEM construction based on airborne LiDAR point cloud for coastal tidal flat regions,the paper proposes an improved slope filtering algorithm of airborne LiDAR point cloud.Firstly,a statistical outlier removal(SOR)method is used to remove noise from the original airborne LiDAR point cloud data.Secondly,utilizing the slope and elevation threshold of regular grids,the slope filtering method of ground points is designed for tidal flat point cloud data.Lastly,actual airborne LiDAR point cloud of the tidal flat in Changsha portof Rudong city is selected as experimental data to carry out the construction of tidal flat DEM and its accuracy is test,so as to verify the proposed method of point cloud filtering.Experimental results show that the accuracy of DEM constructed by LiDAR point cloud by the proposed methodmeets could meet the requirements of national and industrial standards.
关 键 词:机载LIDAR 滩涂点云 点云滤波 DEM高程精度
分 类 号:P237[天文地球—摄影测量与遥感]
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