多源数据融合的实景三维建模及精度分析  

Real Scene 3D Modeling and Accuracy Analysis Based on Multi-Source Data Fusion

作  者:何华容 李鹏[2] 胡洪[1] 徐炜 HE Huarong;LI Peng;HU Hong;XU Wei(College of Resource and Environmental Engineering,Anhui University,Hefei 230000,China;College of Geographic Information and Tourism,Chuzhou College,Chuzhou 239000,China)

机构地区:[1]安徽大学资源与环境工程学院,安徽合肥230000 [2]滁州学院地理信息与旅游学院学院,安徽滁州239000

出  处:《洛阳理工学院学报(自然科学版)》2025年第1期65-73,共9页Journal of Luoyang Institute of Science and Technology:Natural Science Edition

基  金:国家自然科学基金青年项目(42304095).

摘  要:针对多源数据融合三维建模的优化单一性以及模型精度评定仅聚焦整体精度分析的片面性等问题,通过倾斜影像、车载点云和机载点云3种数据,设计基于倾斜影像、倾斜影像与车载点云、机载与车载点云的数据融合共3种方案的模型,对比3种方案与实测数据之间以及3种方案之间的精度误差,进行整体到局部的定量定性分析。实验结果表明:从整体精度层面分析,水平精度和高程精度的最佳模型分别为基于倾斜影像与车载点云的数据融合模型和基于机载与车载点云的数据融合模型。从局部精细程度来看,在建筑物、道路以及树冠等区域基于倾斜影像与车载点云的数据融合模型效果最优,在树干部分基于机载与车载点云的数据融合模型的完整性和精细度效果更好。Aiming to solve the problems like the optimization singleness of multi-source data fusion 3D modeling and the one-sidedness of model accuracy evaluation that focuses on the overall accuracy analysis,three models were designed based on oblique images,oblique images/vehicle-mounted point clouds,and airborne/vehicle-mounted point clouds through the data,including oblique images,vehicle-mounted point clouds and airborne point clouds.The accuracy errors between the real scene data and the measured data compared,a quantitative and qualitative analysis from the overall to the local was conducted.The results show that from the perspective of overall accuracy analysis,the best models for horizontal accuracy and elevation accuracy are the oblique images/vehicle-mounted point cloud model and the airborne/vehicle-mounted point cloud model,respectively;from the perspective of local refinement,the oblique images/vehicle-mounted point cloud model has the best effect in areas such as buildings,roads and tree crowns,and the airborne/vehicle-mounted point cloud model has better integrity and refinement in the trunk part.

关 键 词:实景三维建模 倾斜影像模型 倾斜影像与车载点云融合模型 机载与车载点云融合模型 

分 类 号:P208[天文地球—地图制图学与地理信息工程]

 

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