面向倾斜摄影的实景模型融合技术与应用展望

Prospects of real-word model fusion technology and applications for oblique photography

倾斜摄影技术对于大规模场景生成具有重要意义,为解决单依赖该技术所生成的实景模型存在的近地数据缺失且不具有内部结构的问题,该文从空地模型融合和宏微观模型融合两个层面展开了研究。首先回顾了倾斜摄影、三维激光扫描和建筑信息模型三种主要技术,接着对不同层面的整体融合流程和各自的底层技术原理(点云配准、数据标准)进行了调查,对比分析了相关研究的优势与不足,并指出了各自的应用场景。该研究提出了解决倾斜摄影下实景模型问题的两类融合技术框架,讨论了两者所面临的问题,并对其未来发展作出了展望,旨在为相关领域学者提供参考。

Oblique photography technique is of great significance for generating large-scale scenes.In order to address the issues of missing near-ground data and lack of internal structure in the real-world models generated solely based on this technique,this study explores two levels of research:the fusion of aerial and ground models,and the fusion of macro and micro models.Firstly,it reviews three main technologies:oblique photography,3D laser scanning,and building information modeling.Then,it investigates the overall fusion processes and underlying technical principles(point cloud registration,data standards)at different levels.It compares and analyzes the advantages and limitations of relevant research and identifies their respective application scenarios.This study proposes two fusion technology frameworks to address the issues of real-world models under oblique photography,discusses the challenges faced by each framework,and provides prospects for their future development,aiming to serve as a reference for scholars in related fields.