检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:窦理波 邱华萍 王祯 DOU Libo;QIU Huaping;WANG Zhen(School of Geology and Geometics,TCU,Tianjin 300384,China)
机构地区:[1]天津城建大学地质与测绘学院,天津300384
出 处:《天津城建大学学报》2022年第4期292-296,共5页Journal of Tianjin Chengjian University
基 金:天津市自然科学基金(18JCYBJC90700);天津市教委科研计划项目(2017KJ061)。
摘 要:由于大型室外场景的结构复杂,单一来源的测量数据已经难以完整而丰富地表达目标对象三维细节.本文结合无人机倾斜摄影技术匹配获取的密集点云和三维激光扫描技术获取建筑物三维点云数据,通过统一坐标系和迭代最近点(iterative closest point,ICP)算法,对两种点云进行融合.然后进行模型重建,得到完整的建筑物三维模型.实验结果表明,单独使用两种技术都无法获得复杂建筑物完整的三维模型.两种技术的融合,能够获得大型建筑物完整的、较高精度的模型,为城市三维建模提供新的方向.It is difficult to use one source of measurement data to describe the complete and rich three-dimensional details of the complex structure of large outdoor scenes.Combining the crowded point cloud obtained by oblique photography matching through drones,and the 3D point cloud of the buildings obtained by 3D scanning technology,this paper tried to fuse the two point clouds by using unified coordinate system and Iterative Closest Point(ICP)algorithm.The experimental results show that it is impossible to obtain a complete three-dimensional model of a complex building by using either of the two techniques alone.The integration of the two technologies can obtain complete and high-precision models of large buildings.This paper can provide a new direction for three-dimensional urban modeling.
分 类 号:P204[天文地球—测绘科学与技术]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:18.188.148.202