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作 者:刘如飞[1] 刘梦雅 赵庆鑫 马新江 LIU Rufei;LIU Mengya;ZHAO Qingxin;MA Xinjiang(College of Geodesy and Geomatics,Shandong University of Science and Technology,Qingdao,Shandong 266590,China;Shandong Provincial Institute of Land Surveying and mapping,Jinan 250100,China;College of Earth Sciences and Engineering,Hohai University,Nanjing 211100,China)
机构地区:[1]山东科技大学测绘与空间信息学院,山东青岛266590 [2]山东省国土测绘院,济南250100 [3]河海大学地球科学与工程学院,南京211100
出 处:《遥感信息》2025年第1期34-41,共8页Remote Sensing Information
基 金:国家自然科学基金(42301519);山东省科技型中小企业创新能力提升工程项目(2022TSGC1135);“菁英计划”科研支持项目(0104060541613)。
摘 要:针对城市道路环境复杂,路边车辆、行人等遮挡因素导致车载激光点云道路边界提取困难、提取不完整的问题,提出了一种基于路面边缘和路缘石点叠加提取城市道路边界及缺失边界补全的方法。首先利用布料模拟算法进行数据预处理,去除树冠等非地面点的干扰;然后对预处理后的点云分别提取路面边缘和路缘石点,根据路面边缘和路缘石的空间分布关系,利用叠加分析法去除伪边界点,获取准确的道路边界;最后根据提取道路边界的空间关系进行边界缺失部分的修补,得到完整的道路边界。对不同边界类型的城市路段进行实验的结果表明,该方法提取道路边界的完整度在91%以上,准确度在95%以上,验证了该方法的有效性和准确性。Aiming at the problem of complex urban road environment and occlusion factors such as roadside vehicles and pedestrians,which lead to difficulty and incomplete extraction of road boundaries from vehicle-mounted laser point clouds,a method is proposed to extract urban road boundaries and complement missing boundaries based on the superposition of pavement edges and curb stone points.Firstly,a cloth simulation algorithm is used for data preprocessing to remove interference from non-ground points such as tree crowns.Then,the preprocessed point cloud is used to extract pavement edges and curb stone points respectively,and based on the spatial distribution relationship between pavement edges and curb stones,superposition analysis is used to remove false boundary points and obtain accurate road boundaries.Finally,based on the spatial relationship of the extracted road boundaries,the missing parts of the boundaries are repaired to obtain a complete road boundary.Through experiments on urban road sections with different boundary types,the results show that the completeness of the road boundary extracted by this method is more than 91%,and the accuracy is more than 95%,which verifies the effectiveness and accuracy of this method.
分 类 号:P237[天文地球—摄影测量与遥感]
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