The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 455–460, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-455-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 455–460, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-455-2022
 
30 May 2022
30 May 2022

3D RECONSTRUCTION OF BUILDING MODEL USING UAV POINT CLOUDS

N. H. Sani1, K. N. Tahar1, G. R. Maharjan2, J. C. Matos3, and M. Muhammad4 N. H. Sani et al.
  • 1Centre of Studies for Surveying Science and Geomatics, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, 40450 Shah Alam, Selangor Darul Ehsan, Malaysia
  • 2Central Department of Geography, Tribhuvan University, P.O.Box 8613, Kirtipur, Kathmandu, Nepal
  • 3ISISE, Institute of Science and Innovation for Bio-Sustainability (IB-S), Department of Civil Engineering, University of Minho, Guimarães, Portugal
  • 4Konsultan Jurutera Melombong Yeow Sdn Bhd, No. 61-1, 1st Floor, , Petaling Utama Avenue, Jalan PJS 1/50, 46150 Petaling Jaya, Selangor Darul Ehsan, Malaysia

Keywords: UAV, 3D Model, Point Cloud, Precision

Abstract. Photo-realistic 3D model of object cannot be created by using conventional Total Station method. The aim of this study is to generate 3D building model using UAV’s dense point clouds. In this research, the ability of remotely detected information for the construction of 3D building models is found to be as specific as UAV datasets, Tacheometry Survey and Traverse Survey. Pix4D and MeshLab software were used in this study to perform image processing of 3D building. The building was built up upon using the information needed from capturing UAV images. This procedure requires the height of building to be measured through conventional method such that of UAV and the height is then compared with a 3D building model. At the end of the process, the comparison of height of building, also known as RMSE, was conducted. The images of building were then processed in Photogrammetry which is the Pix4D software. Using Pix4D, this study proceeded with several processing stages such as camera calibration, photo uploading, building of dense cloud, mesh generation, and model texturing. Those processes were done automatically by using Pix4D tools. High quality of photo-realistic 3D model of building was then successfully constructed. The accuracy assessment was done by comparing the measurement of 3D model of building. Direct measuring of building by using total station had taken place to compare the measurements between 3D model details with actual measurements. The measurement of 3D model of building was done in Pix4D software. The RMSE achieved in this study is 0.015 m which is under reasonable accuracy limit. This study proves that UAV point cloud is capable to produce a very fine 3D model.