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http://dx.doi.org/10.22640/lxsiri.2022.52.1.69

An Analysis of 3D Mesh Accuracy and Completeness of Combination of Drone and Smartphone Images for Building 3D Modeling  

Han, Seung-Hee (Department of Urban Engineering, Kongju National University)
Yoo, Sang-Hyeon (Department of Urban Engineering, Kongju National University)
Publication Information
Journal of Cadastre & Land InformatiX / v.52, no.1, 2022 , pp. 69-80 More about this Journal
Abstract
Drone photogrammetry generally acquires images vertically or obliquely from above, so when photographing for the purpose of three-dimensional modeling, image matching for the ground of a building and spatial accuracy of point cloud data are poor, resulting in poor 3D mesh completeness. Therefore, to overcome this, this study analyzed the spatial accuracy of each drone image by acquiring smartphone images from the ground, and evaluated the accuracy improvement and completeness of 3D mesh when the smartphone image is not combined with the drone image. As a result of the study, the horizontal (x,y) accuracy of drone photogrammetry was about 1/200,000, similar to that of traditional photogrammetry. In addition, it was analyzed that the accuracy according to the photographing method was more affected by the photographing angle of the object than the increase in the number of photos. In the case of the smartphone image combination, the accuracy was not significantly affected, but the completeness of the 3D mesh was able to obtain a 3D mesh of about LoD3 that satisfies the digital twin city standard. Therefore, it is judged that it can be sufficiently used to build a 3D model for digital twin city by combining drone images and smartphones or DSLR images taken on the ground.
Keywords
Drone photogrammetry; 3D mesh; Smartphone imagery; Digital twin city; LoD;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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