Abstract
The positional and vertical accuracy of UAV aerial photogrammetry products generated using the Structure from Motion (SfM) approach depends on various factors, such as flight plan parameters, camera quality, camera calibration, the SfM algorithm used, and the georeferencing process. The influence of the quantity of Ground Control Points (GCPs) on the geometric quality of generated models and the stability of camera calibration parameters assessed through self-calibration in the block-aerotriangulation process was investigated in this study. Three software systems were used to process the collected UAV photogrammetry images: Pix4D Mapper, Agisoft Metashape, and Trimble Inpho UASMaster. Standard statistical quality assessments were employed to assess the accuracy of the block-aerotriangulation. The research findings indicate that augmenting the quantity of GCPs enhances model reliability and decreases the RMSE values of vertical deviation on the control points. The RMSE values of vertical deviation on the check points for all three used software systems converged to approximately twice the value of the average spatial resolution. Additionally, the RMSE values of positional deviation on check points converged to the value of the average spatial resolution.
Publisher
Centre for Evaluation in Education and Science (CEON/CEES)
Reference16 articles.
1. International Civil Aviation Organization, Manual on Remotely Piloted Aircraft Systems (1. izd.). Canada: Montréal: ICAO, 2015;
2. Mitrović M, Mihajlović D, Cvijetinović Ž, Brodić N. & Milić S. Primena bespilotnih letelica za snimanje građevinskih objekata. Građevinski kalendar, 48, 2016;
3. Bursać P, Mihajlović D, Brodić N, Upoređenje rezultata UAV fotogrametrije na kalibracionom poligonu "Debeljača" dobijenih primenom različitih softverskih sistema. Tehnika, pp. 639-647. DOI:10.5937/tehnika1905639B, 2019;
4. Harwin S, Lucieer A, & Osborn J. The Impact of the Calibration Method on the Accuracy of Point Clouds Derived Using Unmanned Aerial Vehicle Multi-View Stereopsis. Remote. Sens., 7, 11933-11953, 2015;
5. Sanz-Ablanedo E, Chandler J, Rodríguez-Pérez J, Ordóñez C, Accuracy of Unmanned Aerial Vehicle (UAV) and SfM Photogrammetry Survey as a Function of the Number and Location of Ground Control Points Used. Remote Sensing 10, 10: 1606, 2018;
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