GNSS World of China

Volume 46 Issue 1
Feb.  2021
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CHENG Libo, LI Jia, DUAN Ping, WANG Yunchuan. Unmanned aerial vehicle realistic 3D modeling accuracy analysis considering control point uniformity[J]. GNSS World of China, 2021, 46(1): 20-27. doi: 10.12265/j.gnss.2020102801
Citation: CHENG Libo, LI Jia, DUAN Ping, WANG Yunchuan. Unmanned aerial vehicle realistic 3D modeling accuracy analysis considering control point uniformity[J]. GNSS World of China, 2021, 46(1): 20-27. doi: 10.12265/j.gnss.2020102801

Unmanned aerial vehicle realistic 3D modeling accuracy analysis considering control point uniformity

doi: 10.12265/j.gnss.2020102801
  • Received Date: 2020-10-28
    Available Online: 2021-04-06
  • Publish Date: 2021-02-15
  • Unmanned aerial vehicle (UAV) tilt-photography technology has become the mainstream of the construction of three-dimensional real-field models with its advantages of low cost, high efficiency and high precision. The accuracy of the real 3D model is affected by many factors. This study is mainly focused on the point of view of the uniformity of the control point distribution, to explore its impact on the accuracy of the real 3D model, and propose a more general measure of control point uniformity. Two experiments with different numbers of control points are designed, and each experiment contains three different uniformity distribution schemes. Aerial images of the experimental area were obtained by UAV, and six schemes were adopted to participate in model. By analyzing the model accuracy, the results show that: the accuracy of the real 3D model is poorer when the uniformity of the control points is lower, and the elevation accuracy is worse than the plane accuracy. Increasing the uniformity of the control points will improve the overall accuracy of the model. The improvement of the uniformity of the control points will improve the accuracy of the model at a lower uniformity; the uniformity of the control points can improve the accuracy of the model at a lower uniformity. The uniformity of the control points can improve the accuracy of the model at a lower uniformity. The uniformity of the control points can improve the accuracy of the real 3D model at a lower uniformity. The uniformity of the control points can be used as an evaluation indicator in the deployment of field control points.

     

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