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http://dx.doi.org/10.21289/KSIC.2021.24.6.753

Accuracy Analysis of Satellite Imagery in Road Construction Site Using UAV  

Shin, Seung-Min (QuantumSensing Co., Ltd)
Ban, Chang-Woo (QuantumSensing Co., Ltd)
Publication Information
Journal of the Korean Society of Industry Convergence / v.24, no.6_2, 2021 , pp. 753-762 More about this Journal
Abstract
Google provides mapping services using satellite imagery, this is widely used for the study. Since about 20 years ago, research and business using drones have been expanding. Pix4D is widely used to create 3D information models using drones. This study compared the distance error by comparing the result of the road construction site with the DSM data of Google Earth and Pix4 D. Through this, we tried to understand the reliability of the result of distance measurement in Google Earth. A DTM result of 3.08 cm/pixel was obtained as a result of matching with 49666 key points for each image. The length and altitude of Pix4D and Google Earth were measured and compared using the obtained PCD. As a result, the average error of the distance based on the data of Pix4D was measured to be 0.68 m, confirming that the error was relatively small. As a result of measuring the altitude of Google Earth and Pix4D and comparing them, it was confirmed that the maximum error was 83.214m, which was measured using satellite images, but the error was quite large and there was inaccuracy. Through this, it was confirmed that there are difficulties in analyzing and acquiring data at road construction sites using Google Earth, and the result was obtained that point cloud data using drones is necessary.
Keywords
Google Earth; Satellite Imagery; Mapping Measurement Distance; Drone; PCD(Point Cloud Data); Orthomosaic;
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