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基于无人机系统制作大比例尺正射影像
引用本文:崔红霞, 林宗坚, 李国忠, 孙颖,.基于无人机系统制作大比例尺正射影像[J].电子器件,2008,31(1):334-337.
作者姓名:崔红霞  林宗坚  李国忠  孙颖  
作者单位:1. 渤海大学信息学院,辽宁,锦州,121000
2. 中国测绘科学研究院,北京,100039
3. 大连市勘察测绘研究院有限公司,大连,116021
摘    要:与其它移动测图平台相比,无人机系统具有机动、灵活、低成本等特点,因此非常适合应用于大比例尺航空摄影测量.与专业的量测相机相比,非量测数码相机的价格相对低廉、体积小、重量轻,尤其适于作为小型的无人机系统的影像获取设备.本文介绍了一个以数码相机作为影像获取设备的无人机系统;给出了数码相机的标定和畸变分析过程;并提出了基于相对定向、三视张量、自由网平差方法逐步剔除粗差的自动空中三角测量过程.最后的实验表明,以无人机系统获取的低空数码影像生产的正射影象可以达到 1:2000 的精度指标.

关 键 词:相机标定  计算机视觉  无人机  空中三角测量  camera  calibration  computer  vision  UAV  (Unmanned  Aerial  Vehicle)  AT(Aerial  Triangulation)  无人机系统  制作  大比例尺  正射影像  Digital  experiments  attitude  test  flight  accuracy  able  meet  national  standards  scale  tensor  free  bundle  adjustment  incorporate  methods
文章编号:1005-9490(2008)01-0334-04
收稿时间:2007-04-30
修稿时间:2007年4月30日

UAVs for Generation of Digital Large-Scale Orthophotos
CUI Hong-xi,LIN Zong-jian,LI Guo-zhong,SUN Ying.UAVs for Generation of Digital Large-Scale Orthophotos[J].Journal of Electron Devices,2008,31(1):334-337.
Authors:CUI Hong-xi  LIN Zong-jian  LI Guo-zhong  SUN Ying
Affiliation:Department of Information , Bohai University, Jinzhou,Liaoning 121000,China;2.Chinese Academy of Surveying and Mapping, Beijing 100039,China;3.Dalian Academy of Reconnaissance and mapping CO.LTD,Dalian 116021,China
Abstract:In comparison with other mobile mapping platforms, UAV(Unmanned Aerial Vehicle) has many good characteristics such as low coat, simple manipulation, flexbility etc, therefore it is a suitable alternative solution to application for photogrammetry. Non-metric digital cameras are relatively inexpensive, readily avalailable, small volume, light weight compared to metric camera systems, thus they are suitble as the tool for image acquisition in mini UAVs. This paper gives an overview about the UAV system with non-metric cameras. Moreover,the process is given about non-metric camera calibration as well as distortion analysis. The automatic aerial triangulation process then follows, in which incorporate methods are put forword for efficient blunder detection and elimination based on relative orientaion, trifocal tensor and free net bundle adjustment. Finally,experiments on digital orthophotos generated with low attitude aerial photographs col- lected from a test flight using the UAV system have shown that the accuracy is able to meet those required for national map standards at scale of 1:2000.
Keywords:camera calibration  computer vision  UAV (Unmanned Aerial Vehicle)  AT(Aerial Triangulation)
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