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Plane Accuracy of Aerophotogrammetry without Image Control Points of DJI PHANTOM 4 RTK UAV
Author(s) -
Chun Di Xiu,
Zhengxu Li,
Haiqin Duan,
Xin Lu,
Tianran Ma,
Chunzhi Shan
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/734/1/012003
Subject(s) - imaging phantom , operability , computer science , gnss applications , remote sensing , altitude (triangle) , computer vision , plane (geometry) , kinematics , image plane , environmental science , geodesy , artificial intelligence , image (mathematics) , optics , physics , geology , mathematics , global positioning system , telecommunications , geometry , software engineering , classical mechanics
The small unmanned aerial vehicles (UAVs) have good operability, low cost and high production efficiency in the low-altitude aerophotogrammetry. In this paper, the checkpoint coordinate data of low-altitude aerophotogrammetry from DJI PHANTOM 4 RTK UAV in the image-free controlled model are compared with the measured data of GNSS RTK. The results show that the maximum errors of the plane coordinates of checkpoints extracted by UAV were 0.067 m and 0.045 m in X-direction and Y-direction respectively and the plane mean square error (PMSE) was ± 0.051 m, which meet the rules of the national standard and industrial standard. Therefore, the low-altitude aerophotogrammetry of DJI PHANTOM 4 RTK UAV without the image control points can be effectively applied to large-scale surveying and mapping in small areas.

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