摘要
城市异形建筑物形态结构复杂多样,采用无人机倾斜摄影或地面三维激光扫描技术时均会存在遮挡现象,影响三维模型质量。为提高异形建筑物竣工测量成果精度,本文以倾斜摄影和激光扫描点云成果为基础,采用最近点迭代算法对两种点云进行配准融合,重新构建三维模型,以某异形体育场馆为例进行实验发现,该方法三维模型精度显著提升,误差分布更为均匀,能够弥补单一技术模型空洞、纹理模糊等缺陷,可为异形建筑物竣工测量提供准确的可视化模型数据。
The shapes and structures of urban irregular buildings are complex and diverse.Both unmanned aerial vehicle(UAV)oblique photography and ground-based three-dimensional(3D)laser scanning technologies suffer from occlusion issues,which affect the quality of 3D models.To improve the accuracy of the completion survey results for irregular build⁃ings,this study used UAV oblique photography and laser scanning point-cloud data as the basis and applied the iterative clos⁃est point(ICP)algorithm for point-cloud registration and fusion.A 3D model is reconstructed,and an experiment based on a specific irregular sports venue demonstrates that this method significantly enhances the model’s precision.The error distri⁃bution becomes more uniform,and it compensates for defects such as model gaps and blurry textures that are common with single technology-based models.This approach provides accurate and visualized model data for the completion survey of irregular buildings.
作者
雷兆伟
杜冬霞
郑旭
张亚新
LEI Zhaowei;DU Dongxia;ZHENG Xu;ZHANG Yaxin(Shandong Luzhen Technology Engineering Company Limited,Jinan,Shandong 250014,China;Shandong Liaokuo Geographic Information Engineering Company Limited,Taian,Shandong 271000,China)
出处
《北京测绘》
2025年第9期1282-1286,共5页
Beijing Surveying and Mapping
关键词
异形建筑物
无人机倾斜摄影
地面三维激光扫描
点云融合
竣工测量
irregular buildings
unmanned aerial vehicle(UAV)oblique photography
ground-based three-dimensional(3D)laser scanning
point-cloud fusion
completion survey
