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消费级无人机摄影测量大比例尺地形图测绘方法研究 被引量:4

Research on surveying and mapping method of large-scale topographic map based on consumer UAV photogrammetry
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摘要 无人机以其机动灵活、实时性强、低成本等优势,迅速成为快速获取地理数据的有效平台。以防灾科技学院为例,通过小型多旋翼高精度航测无人机,辅助RTK技术获取高重叠度影像,利用摄影测量软件生成数字正射影像(DOM)和数字表面模型(DSM),基于三维立体测图系统实现地形图要素的提取,结果表明,该技术方案能够满足1:500数字地形图测绘的需要,极大地提高了制图效率。 With its advantages of flexibility,real-time capability and low cost,UAV(Unmanned Aerial Vehicles)has quickly become an effective platform for quickly acquiring geographical data.Disaster prevention institute of science and technology,for example,through a small rotor high-precision aerial drones,auxiliary RTK technology to obtain high degree of overlapping images,using photogrammetry software generated Digital Orthophoto Map(DOM)and Digital Surface Model(DSM),based on three-dimensional topographic map plotting system elements extraction,the results show that the technical solution to meet the needs of 1∶500 digital topographic map surveying and mapping,greatly improved production efficiency.
作者 刘瑞冬 刘军 曹岚 谭家康 Liu Ruidong;Liu Jun;Cao Lan;Tan Jiakang(College of Ecology and Environment,Institute of Disaster Prevention,Sanhe 065201,China)
出处 《山西建筑》 2020年第19期163-165,共3页 Shanxi Architecture
基金 国家级大学生创新创业训练计划项目(201911775017) 河北省高等学校科学研究计划项目(Z2019065) 中央高校基本科研业务费项目(Z2019065)。
关键词 无人机 三维重建 地形图 精度评定 unmanned aerial vehicles 3D reconstruction topographic map accuracy evaluation
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  • 1Chen Jianping, Li Ke, Chang K J, et al. Open-pit mining geomorphic feature characterisation [J]. International Journal of Applied Earth Observation and Geoinformation, 2015, 42: 76-86. 被引量:1
  • 2kschara A, Kaufmann V, Klopschitz M, et al. Towards fully automatic photogrammetric reconstruction using digital images taken from UAVs [C]//Symposium of Commission VII of the ISPRS -100 Years, 2010: 65-70. 被引量:1
  • 3Lucieer A, Turner D, King, D H, et al. Using an Unmanned Aerial Vehicle (UAV) to capture micro-topography of Antarctic moss beds [J]. International Journal of Applied Earth Observation, 2014, 27: 53-62. 被引量:1
  • 4Verhoeven G, Doneus M, Briese C, et al. Mapping by matching: a computer vision-based approach to fast and accurate georeferencing of archaeological aerial photographs [J]. Journal of Archaeological Science, 2012, 39: 2060-2070. 被引量:1
  • 5Niethammer U, James M R, Rothmund St et al. UAV-based remote sensing of the Super-Sauze landslide: Evaluation and results[J]. Engineering Geology, 2012, 128: 2-11. 被引量:1
  • 6Turner D, Lucieer A. Using a Micro Unmanned Aerial Vehicle (UAV) for ultra high resolution mapping and monitoring of landslide dynamics[C]// IGASS, 2013. 被引量:1
  • 7Snavely N. Scene reconstruction and visualization from internet photo collections [D]. Washington: University of Washington, 2008. 被引量:1
  • 8Furukawa Y, Ponce J. Accurate, dense, and robust multi- view stereopsis [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(8): 1362-1376. 被引量:1
  • 9谷宁,冯仲科,罗旭.基于无人飞行器航测建立数字高程模型研究[J].北京林业大学学报,2007,29(S2):152-155. 被引量:10
  • 10臧克,孙永华,李京,闫志壮,宫辉力,李小娟,赵文吉.微型无人机遥感系统在汶川地震中的应用[J].自然灾害学报,2010,19(3):162-166. 被引量:100

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