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作 者:王鹏[1] 刘如飞[1] 马新江 卢秀山[2] 田茂义[1] WANG Peng;LIU Rufei;MA Xinjiang;LU Xiushan;TIAN Maoyi(Geomatics College,Shandong University of Science and Technology,Qingdao 266590,China; Ocean Science and Engineering College,Shandong University of Science and Technology,Qingdao 266590,China)
机构地区:[1]山东科技大学测绘科学与工程学院,山东青岛266590 [2]山东科技大学海洋科学与工程学院,山东青岛266590
出 处:《武汉大学学报(信息科学版)》2020年第7期1035-1042,共8页Geomatics and Information Science of Wuhan University
基 金:山东省自然科学基金(ZR2019BD033);国家重点研发计划(2016YFB0501705);国家基础测绘科技计划(2016KJ0101);山东科技大学人才引进科研启动基金(2016RCJJ004)。
摘 要:杆目标是城市中重要的基础设施,其自动提取对智慧城市数据快速更新具有重要意义。车载移动测量系统可以快速获取道路两侧地物的高精度点云数据。针对车载点云提出了一种基于杆圆弧特征的杆目标自动提取方法,首先根据单条和相邻多条扫描线上目标分布形态,对原始点云中的非杆柱状部分进行聚类去噪;然后运用约束随机抽样一致性(random sample consensus, RANSAC)检验算子搜索圆弧状点集,对其三维特征进行统计分析,精确识别杆柱状部分;最后根据目标点云空间形态动态确定区域生长条件,搜索杆目标的完整点云。实验分析结果表明,该方法能有效降低杆目标提取中邻近非杆地物的干扰,具有较强的自适应能力。The pole-like objects are the impontant infrastructure in cities, and their automatic extraction is important for fast updating of smart city data. The vehicle-borne mobile measurement system can quickly acquire high-precision point cloud data of the objects in both roadsides. An automatic extraction method for pole-like objects from vehicle-borne laser point cloud data based on circular arc characteristic is proposed.Firstly, according to the target distribution morphology in single and adjacent scanning lines, the non-pole column part in original point cloud is filtered by clustering and denoising. Then, the circular arc point set is searched by constraint random sample consensus(RANSAC) operator, and the 3 D statistical regularity of the circular arc are used to identify the column part of pole-like object accurately. Finally, according to the spatial morphology of the target point cloud, the condition of region growing is dynamically determined,and the complete point cloud of different pole-like objects is searched. Experimental results show that this method can effectively reduce noise interference of non-pole-like objects nearby in pole-like objects extraction and has better adaptive ability.
关 键 词:杆目标 激光扫描线 RANSAC 圆弧特征 统计规律
分 类 号:P237[天文地球—摄影测量与遥感]
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