Fusion of UAV and Terrestrial Photogrammetry with Laser Scanning for 3D Reconstruction of Historic Churches in Georgia

Faculty/Professorship: Digital Technologies in Heritage Conservation  
Author(s): Luhmann, Thomas; Chizhova, Maria  ; Gorkovchuk, Denys
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2020
Pages: 17
Source/Other editions: Drones, 4 (2020), 3, 17 S. - ISSN: 2504-446X
is version of: 10.3390/drones4030053
Year of first publication: 2020
Language(s): English
Licence: Creative Commons - CC BY - Attribution 4.0 International 
URN: urn:nbn:de:bvb:473-irb-497628
In September 2018, photogrammetric images and terrestrial laser scans were carried out as part of a measurement campaign for the three-dimensional recording of several historic churches in Tbilisi (Georgia). The aim was the complete spatial reconstruction with a spatial resolution and accuracy of approx. 1 cm under partly difficult external conditions, which required the use of different measurement techniques. The local measurement data were collected by two laser scanning campaigns (Leica BLK360 and Faro Focus 3D X330), several UAV flights and two terrestrial image sets. The photogrammetric point clouds were calculated with the image-based modelling programs AgiSoft and RealityCapture taking into account the control points from the laser scans. The mean residual errors from the registrations or photogrammetric evaluations are 4–16 mm, depending on the selected software, size and complexity of the monument and environmental conditions. The best completeness and quality of the resulting 3D model was achieved by using laser scan data and images simultaneously. The article presents recent results obtained with RealityCapture and gives a critical analysis of accuracy and modelling quality.
GND Keywords: Tiflis; Kirche; 3D-Scanner; Flugkörper; Denkmalpflege
Keywords: UAV photogrammetry, camera calibration, geo-referencing, data fusion, cultural heritage, image-based modelling
DDC Classification: 720 Architecture  
RVK Classification: LH 60360   
Type: Article
URI: https://fis.uni-bamberg.de/handle/uniba/49762
Release Date: 28. April 2021

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