变形分析中点云虚拟基准的确定方法  

Point cloud virtual datum determination method in deformation analysis

作　　者：孙文潇 王健[1] 靳奉祥[1,2] 杨以坤 SUN Wenxiao;WANG Jian;JIN Fengxiang;YANG Yikun(College of Geodesy and Geomatics,Shandong University of Science and Technology,Qingdao 266590,China;College of Surveying and Geo-Informatics,Shandong Jianzhu University,Jinan 250101,China;College of Global Change and Earth System Science,Beijing Normal University,Beijing 100875,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]山东建筑大学测绘地理信息学院,山东济南250101 [3]北京师范大学全球变化与地球系统科学研究院,北京100875

出　　处：《测绘学报》2023年第6期956-965,共10页Acta Geodaetica et Cartographica Sinica

基　　金：高端外国专家引进计划(G2021025006L)。

摘　　要：针对传统基于固定点的基准构建方法难以适用于点云整体基准探测的问题,本文提出了基于格网质心稳定性和分布相似性的点云虚拟基准确定方法。首先依据常规变形监测网中基准点的变化模式分析稳定区域和变形区域的点云分布特性,探讨点云虚拟基准的概念及探测原则;然后根据测距、测角和光斑面积引起的点位误差定权,以对应格网最小转动惯量对应轴线向量夹角为准则分析点云分布相似性,并利用平方型M split相似变换检验对应格网质心的稳定性,从而确定多时相激光点云的参考基准;最后结合地面三维激光扫描技术获取的储罐、滑坡和规则几何体点云验证其可行性。结果表明,结合点云质心稳定性和转动惯量对应转轴向量的相似性可以探测不需要现场布设、更不需要定期维护的点云虚拟基准,为多时相点云坐标统一和变形分析等提供基础。Aiming at the problem that conventional fixed-point-based datum construction methods are difficult to apply to overall datum detection based on point cloud,a point cloud virtual datum determination method based on the centroid stability and distribution similarity of corresponding grids of the multitemporal laser point cloud is proposed in our study.Firstly,the point cloud distribution characteristics in the stable and deformed areas are analyzed according to the changing pattern of the traditional datum points,and the detection principle of the point cloud virtual datum is discussed.Then,the point position errors caused by distance measurement,angle measurement,and footprint scale are weighted,and the axis vectors angle corresponding to the minimum moment of inertia is calculated to determine the point cloud distribution similarity.Furthermore,the centroid stability is analyzed by using the squared M split similarity transformation,and the virtual datum of the multitemporal point cloud is detected.Finally,the tank,landslide,and regular geometry point cloud captured by terrestrial laser scanning technology are applied to verify the feasibility and application scehes of the proposed method.Results show that the point cloud virtual datum that does not require on-site layout or regular maintenance can be detected by combining the centroid stability and the distribution similarity characterized by the axis vectors angles of the minimum moment of inertia,which provides the foundation for multitemporal point cloud coordinate unification and deformation analysis.

关 键 词：点云虚拟基准 质心稳定性 分布相似性 变形分析 

分 类 号：P237[天文地球—摄影测量与遥感]