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http://dx.doi.org/10.7848/ksgpc.2022.40.3.207

An Experimental Study on Assessing Precision and Accuracy of Low-cost UAV-based Photogrammetry  

Yun, Seonghyeon (Dept. of Eco-friendly Offshore Plant FEED Engineering, Changwon Natioanl University)
Lee, Hungkyu (Dept. of Civil Engineering, Changwon National University)
Choi, Woonggyu (Dept. of Global Smart City, Sungkyunkwan University)
Jeong, Woochul (Dept. of Civil Engineering, Changwon National University)
Jo, Eonjeong (Dept. of Civil Engineering, Changwon National University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.40, no.3, 2022 , pp. 207-215 More about this Journal
Abstract
This research has been focused on accessing precision and accuracy of UAV (Unmanned Aerial Vehicle)-derived 3-D surveying coordinates. To this end, a highly precise and accurate testing control network had been established by GNSS (Global Navigation Satellite Systems) campaign and its network adjustment. The coordinates of the ground control points and the check points were estimated within 1cm accuracy for 95% of the confidence level. FC330 camera mounted on DJI Phantom 4 repeatedly took aerial photos of an experimental area seven times, and then processed them by two widely used software packages. To evaluate the precision and accuracy of the aerial surveys, 3-D coordinates of the ten check points which automatically extracted by software were compared with GNSS solutions. For the 95% confidence level, the standard deviation of two software's result is within 1cm, 2cm, and 4cm for the north-south, east-west, and height direction, and RMSE (Root Mean Square Error) is within 9cm and 8cm for the horizontal, vertical component, respectively. The interest is that the standard deviation is much smaller than RMSE. The F-ratio test was performed to confirm the statistical difference between the two software processing results. For the standard deviation and RMSE of most positional components, exception of RMSE of the height, the null hypothesis of the one-tailed tests was rejected. It indicates that the result of UAV photogrammetry can be different statistically based on the processing software.
Keywords
UAV; Photogrammetry; Precision; Accuracy; Hypothesis Test;
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Times Cited By KSCI : 9  (Citation Analysis)
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