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Article

Determining the Optimal Number of Ground Control Points for Varying Study Sites through Accuracy Evaluation of Unmanned Aerial System-Based 3D Point Clouds and Digital Surface Models

Korea Environment Institute, Bldg. B, 370 Sicheong-daero, Sejong 30147, Korea
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Drones 2020, 4(3), 49; https://doi.org/10.3390/drones4030049
Received: 21 July 2020 / Revised: 15 August 2020 / Accepted: 20 August 2020 / Published: 27 August 2020
(This article belongs to the Collection Feature Papers of Drones)
The rapid development of drone technologies, such as unmanned aerial systems (UASs) and unmanned aerial vehicles (UAVs), has led to the widespread application of three-dimensional (3D) point clouds and digital surface models (DSMs). Due to the number of UAS technology applications across many fields, studies on the verification of the accuracy of image processing results have increased. In previous studies, the optimal number of ground control points (GCPs) was determined for a specific area of a study site by increasing or decreasing the amount of GCPs. However, these studies were mainly conducted in a single study site, and the results were not compared with those from various study sites. In this study, to determine the optimal number of GCPs for modeling multiple areas, the accuracy of 3D point clouds and DSMs were analyzed in three study sites with different areas according to the number of GCPs. The results showed that the optimal number of GCPs was 12 for small and medium sites (7 and 39 ha) and 18 for the large sites (342 ha) based on the overall accuracy. If these results are used for UAV image processing in the future, accurate modeling will be possible with minimal effort in GCPs. View Full-Text
Keywords: UAS; GCP; 3D point cloud; DSM; image processing accuracy UAS; GCP; 3D point cloud; DSM; image processing accuracy
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MDPI and ACS Style

Yu, J.J.; Kim, D.W.; Lee, E.J.; Son, S.W. Determining the Optimal Number of Ground Control Points for Varying Study Sites through Accuracy Evaluation of Unmanned Aerial System-Based 3D Point Clouds and Digital Surface Models. Drones 2020, 4, 49. https://doi.org/10.3390/drones4030049

AMA Style

Yu JJ, Kim DW, Lee EJ, Son SW. Determining the Optimal Number of Ground Control Points for Varying Study Sites through Accuracy Evaluation of Unmanned Aerial System-Based 3D Point Clouds and Digital Surface Models. Drones. 2020; 4(3):49. https://doi.org/10.3390/drones4030049

Chicago/Turabian Style

Yu, Jae Jin, Dong Woo Kim, Eun Jung Lee, and Seung Woo Son. 2020. "Determining the Optimal Number of Ground Control Points for Varying Study Sites through Accuracy Evaluation of Unmanned Aerial System-Based 3D Point Clouds and Digital Surface Models" Drones 4, no. 3: 49. https://doi.org/10.3390/drones4030049

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