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作 者:马原放 李海鹏[1,2] 贾光军 MA Yuanfang;LI Haipeng;JIA Guangjun(Beijing Institute of Surveying and Mapping,Beijing 100038,China;Beijing Key Laboratory of Urban Spatial Information Engineering,Beijing 100038,China)
机构地区:[1]北京市测绘设计研究院,北京100038 [2]城市空间信息工程北京市重点实验室,北京100038
出 处:《测绘通报》2022年第9期119-122,共4页Bulletin of Surveying and Mapping
摘 要:点云数据自动化应用时,尤其是三维自动化建模过程中,传统的点云自动化处理技术难以实现。点云自动化建模是一个复杂的过程,涉及对象识别、点云处理、参数化建模等多个领域。本文结合三维激光扫描技术,针对不同的项目和应用方向对三维模型成果的不同需求,对现阶段各个行业和方向的三维模型成果及构建方法进行了汇总和分析,进一步提出了3种三维激光点云自动化建模的新思路和可行性分析,并分析了自动化建模思路的优势和应用方向。For the automatic application of point cloud data,especially in 3D automatic modeling,the traditional point cloud automatic processing technology is always difficult to achieve.Point cloud automatic modeling is a complex process,involving knowledge in many fields such as object recognition,point cloud processing and parametric modeling.Combined with 3D laser scanning technology,this paper summarizes and analyzes the 3D model results and construction methods of various industries and directions according to the different needs of different projects and application directions,Further,it puts forward several ideas and feasibility analysis of 3D laser point cloud automatic modeling,and analyzes the advantages and application direction of several automatic modeling ideas.
分 类 号:P23[天文地球—摄影测量与遥感]
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