集群技术下的实景三维建模
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摘要
计算机集群技术的出现为倾斜摄影测量中实景三维自动化建模时遇到的计算资源匮乏问题提供了解决途径。本文论述了集群在实景三维建模中的两种应用模式:基于物理并行计算的集群和基于逻辑并行计算的集群;阐述了在逻辑并行计算的集群模式下ContextCapture软件进行实景三维建模的流程;提出了该集群模式下子测区划分的5个原则:起降点原则、飞行高度原则、建筑物密度/植被密度原则、最大计算量原则、航线角度原则,并有效控制了划子区后的精度问题。最后,本文利用实验室多台普通PC机实现了某测区实景三维集群建模,结果表明:该方法自动化建立模型精度满足测区需求,可有效加快自动化建模速度,降低生产成本。
The emergence of computer cluster technology provides a solution to the shortage of computing resources encountered in 3D automatic modeling of tilted photogrammetry. This paper discusses two application patterns of cluster in 3D modeling: cluster based on physical parallel computing and cluster based on logic parallel computing. The process of 3D modeling of real scene in Context Capture under the cluster mode of logical parallel computing is expounded. Five principles of subdivision in this cluster are proposed: the principle of the starting and landing points,the principle of flying height,the principle of building density/vegetation density,the principle of maximum calculation and the principle of line angle. And the accuracy of the sub region is effectively controlled. Finally,this paper uses a number of common PC machines in the laboratory to achieve a three-dimensional cluster modeling in a certain area.The results show that the method automatically establishes the model accuracy to meet the requirement of the survey area,and can effectively speed up the automation modeling speed and reduce the production cost.
The emergence of computer cluster technology provides a solution to the shortage of computing resources encountered in 3D automatic modeling of tilted photogrammetry. This paper discusses two application patterns of cluster in 3D modeling: cluster based on physical parallel computing and cluster based on logic parallel computing. The process of 3D modeling of real scene in Context Capture under the cluster mode of logical parallel computing is expounded. Five principles of subdivision in this cluster are proposed: the principle of the starting and landing points,the principle of flying height,the principle of building density/vegetation density,the principle of maximum calculation and the principle of line angle. And the accuracy of the sub region is effectively controlled. Finally,this paper uses a number of common PC machines in the laboratory to achieve a three-dimensional cluster modeling in a certain area.The results show that the method automatically establishes the model accuracy to meet the requirement of the survey area,and can effectively speed up the automation modeling speed and reduce the production cost.
引文
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[3]褚杰,盛一楠.无人机倾斜摄影测量技术在城市三维建模及三维数据更新中的应用[J].测绘通报,2017(S1):130-135.
[4]王永生,卢小平,朱慧,等.无人机实景三维建模在水利BIM中的应用[J].测绘通报,2018(3):126-129.
[5]吴军.3维城市建模中的建筑墙面纹理快速重建研究[J].测绘学报,2005,34(4):317-323.
[6]邱春霞,董乾坤,刘荣华,等.无人机倾斜影像三维建模中的模型精细化[J].测绘通报,2017(11):133-138.
[7]冯茂平,杨正银,张秦罡.基于小型多镜头航摄仪的无人机倾斜摄影技术在实景三维建模中的应用[J].测绘通报,2017(S1):5-7.
[8]吴波涛,张煜,李凌霄,等.基于多旋翼单镜头无人机的三维建模技术[J].长江科学院院报,2016,33(11):99-103.
[9]李德仁,刘立坤,邵振峰.集成倾斜航空摄影测量和地面移动测量技术的城市环境监测[J].武汉大学学报(信息科学版),2015,40(4):427-435.
[10]WANG S,ANSELIN L,CROSBY C,et al.Cyber GISsoftware:a synthetic review and integration roadmap[J].International Journal of Geographical Information Science Ijgis,2013,27(11):2122-2145.
[11]NYERGES T L,RODERICK M J,AVRAAM M.Cyber GISdesign considerations for structured participation in collaborative problem solving[J].International Journal of Geographical Information Science Ijgis,2013,27(11):2146-2159.
[12]王惠,丁峻宏.LINUX集群技术构建ANSYS分布式高性能计算平台[J].高性能计算发展与应用,2011,34(1):61-64.
[13]左尧,王少华,钟耳顺,等.高性能GIS研究进展及评述[J].地球信息科学学报,2017,19(4):437-446.
[14]李莹,林宗坚,苏国中,等.Smart 3D数据的三维模型重建[J].测绘科学,2017,42(9):88-93.
[15]刘洋.无人机倾斜摄影测量影像处理与三维建模的研究[D].南昌:东华理工大学,2016.
[16]段文华,许庆领.倾斜摄影实景三维模型的质量控制分析[J].地理空间信息,2017(11):93-95.