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基于倾斜摄影测量的大比例尺地形图测绘 被引量:1

Large-Scale Topographical Mapping Based on Oblique Photogrammetry
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摘要 为了快速获取大比例尺地形图、三维实景模型等数字化成果,提出了一种基于无人机倾斜摄影测量技术的测量方法:采用Context Capture Center软件进行空中三角测量;重建三维实景模型;采用Mapmatrix3D软件进行三维实景模型内业制图;外业补充调绘;最终得到全要素的1∶500数字线划图。通过工程案例验证了该技术效率高、精度可靠、成果丰富。该技术在工程中的应用实践为同类项目的开展提供了有益的参考。 In order to quickly obtain the digital results of large-scale topographic maps and three-dimensional real scene models a measurement method based on unmanned aerial vehicle oblique photogrammetry technology is proposed the Context Capture Center software is used for aerial triangulation Reconstruction of three-dimensional real scene model Mapmatrix3 d software is used for interior mapping of three-dimensional real scene model Field supplementary mapping Finally the 1∶500 digital line graph of all elements is obtained.The engineering case verifies that the technology has high efficiency reliable accuracy and rich achievements.The application practice of this technology in engineering provides a useful reference for the development of similar projects.
作者 刘新华 LIU Xinhua(China Energy Engineering Group Guangdong Electric Power Design Institute Co.Ltd.,Guangzhou,Guangdong,510663)
出处 《红水河》 2021年第5期87-91,95,共6页 Hongshui River
关键词 无人机 倾斜摄影测量 大比例尺地形图 空中三角测量 三维实景模型 精度分析 unmanned aerial vehicle oblique photogrammetry large-scale topographical map aerial triangulation three-dimensional real scene model precision analysis
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  • 1何敬,李永树,徐京华,鲁恒.无人机影像制作大比例尺地形图试验分析[J].测绘通报,2009(8):24-27. 被引量:83
  • 2胡伟,冯长春,陈春.农村人居环境优化系统研究[J].城市发展研究,2006,13(6):11-17. 被引量:73
  • 3Zebedin L, Klaus A, Geymayer B G, et al. To- wards 3D Map Generation from Digital Aerial Ima- ges[J]. Journal of Photogrammetry and Remote Sensing, 2006, 60(6): 413-427.
  • 4Nguyen H M, Wunsche B, Delmas P, et al. High- Definition Texture Reconstruction for 3D Image- based Modeling[C]. The 21st International Confer- ence in Central Europe on Computer C-raphics, Vi- sualization and Computer Vision, Plzen, 2013.
  • 5Fritsch D, Rothermel M. Oblique Image Data Pro- cessing: Potential, Experience, Recommendations [EB/OL]. http://www, ifp. uni-stuttgart, de/pub- lications/phowol3/090Fritsch, pdf, 2015.
  • 6Hu H, Zhu Q, Du Z, et al. Reliable Spatial Rela tionship Constrained Feature Point Matching of Ob lique Aerial Images [J]. Photogrammetric Engi neering & Remote Sensing, 2015, 81 (1):49-58.
  • 7Richard H, Andrew Z. Multiple View Geometry in Computer Vision[M]. 2nd ed. United Kingdom: Cambridge University Press, 2003: 116-127, 153- 158, 239-261, 325-343.
  • 8Xiao Xiongwu, Li Deren, Guo Bingxuan, et al. A Robust and Rapid Viewpoint-Invariant Matching Method for Oblique Images[J/OL]. Geomatics and Information Science of Wuhan University, 2015, DOI: 10. 13203/j. whugis20140405.
  • 9肖雄武,李德仁,郭丙轩,等.一种具有视点不变性的倾斜影像快速匹配方法[J/0L].武汉大学学报·信息科学版,2015,DOI:10.13203/j.whugis20140405.
  • 10Zhang Jianqing, Pan Li, Wang Shugen. Photo- grammetry[M]. 2nd ed. Wuhan: Wuhan Universi- ty Press, 2009: 54-64, 87-116, 173-178.

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