Combined use of Terrestrial Laser Scanning and UAV Photogrammetry in producing the LoD3 of 3D high building model

  • Affiliations:

    1 Hanoi University of Mining and Geology, Hanoi, Vietnam
    2 University of Science and Technology of Hanoi, Hanoi, Vietnam
    3 Dong Thap University, Dong Thap province, Vietnam
    4 Company of Khanh Hoa province Architectre Construction Consultans Stock, Khanh Hoa province, Vietnam

  • *Corresponding:
    This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Received: 23rd-Feb-2022
  • Revised: 27th-June-2022
  • Accepted: 22nd-July-2022
  • Online: 31st-Aug-2022
Pages: 24 - 34
Views: 2438
Downloads: 2263
Rating: 5.0, Total rating: 226
Yours rating

Abstract:

Both Unmanned Aerial Vehicles (UAVs) and Terrestrial Laser Scanners (TLS) are important techniques for surveying and mapping. UAV equipment is commonly used to collect 2D or 3D data acquisition. Meanwhile, TLS equipment is used for obtaining only 3D data acquisition. However, if both are integrated, they were able to produce more accurate data. Multi-sensor data fusion helps overcome the limitations of a single sensor and enables a complete 3D model for the structure and better object classification. This study focuses on studying the combination of UAV and TLS technologies to collect, process data, and create the complete point cloud between two point clouds of the high building in Ha Long city, Quang Ninh province to establish a 3D model at LoD 3 detail level, with high accuracy. FARO FOCUS3D X130 and DJI Phantom 4 RTK equipments were used to acquire the data in the field. The aerial and ground data were processed using FARO SCENE 2019 and Agisoft PhotoScan software, respectively. The data integration process is done by converting both point clouds into the same coordinate system and then by aligning the same points of both points clouds in Cloud Compare. The result of this study is a 3D model at LoD 3 detail level of the high building based on the point cloud accuracy in centimeter level. The combined use of UAV and TLS technologies has proven to be possible to create a highly accurate 3D model, at the 1:500 scale of urban areas according to current standards.

How to Cite
Le, H.Thu Thi, Nguyen, T.Van, Pham, L.Thi, Tong, S.Si, Nguyen, L.Huu and Vo, O.Dac 2022. Combined use of Terrestrial Laser Scanning and UAV Photogrammetry in producing the LoD3 of 3D high building model (in Vietnamese). Journal of Mining and Earth Sciences. 63, 4 (Aug, 2022), 24-34. DOI:https://doi.org/10.46326/JMES.2022.63(4).03.
References

Biljecki, F., J. Stoter, H. Ledoux, S. Zlatanova and A. Çöltekin , (2015). Applications of 3D City Models: State of the Art Review. ISPRS International Journal of Geo-Information 4(4). 2842-2889.

Biljecki, F.; Ledoux, H.; Stoter, J.,  (2016). An improved LOD specification for 3D building models. Comput. Environ.Urban Syst. 59. 25-37.

BIM forum,  (2013). Level of Development Specification: For Building Information Models. https://bimforum.org/wp-content/ uploads/2013/08/2013-LOD-Specification. pdf.

Vietnam Ministry of Environment and Natural Resources., (2015). Circular 68/2015/TT-BTNMT: Technical regulations for direct topographic measurement for the establishment of topographic maps and geographic base databases at scale 1:500, 1:1000, 1:2000, 1:5000. (In Vietnamese).

DJI, (2018). https://www.dji.com/phantom-4-rtk.

Dang. T. T.,  et al., (2012). The Lidar technology for 3D Bac Giang model. Training Information of Science and Technology of Environment and Natural resources. 11-17. (In Vietnamese).

Do, T. S., Nguyen, A.T., Hoang, H., Vo, T.L., Nguyen, N.T.V., Vo, V.T., Le, N.T.P., Pham, T.T.A., Dang, M.Q., (2019). Integrating point cloud from 3D Laser scanning and Unmanned Aerial Vehicle (UAV) equipments in order to collect construction project information modeling. Vietnam Journal of Construction, Vol. 4. .p 39-42. (In Vietnamese).

Fai, S., Rafeiro, J., (2014). Establishing an Appropriate Level of Detail (LoD) for a Building Information Model (BIM) - West Block, Parliament Hill, Ottawa, Canada. SPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-5, 2014ISPRS Technical Commission V Symposium, 23 - 25 June 2014, Riva del Garda, Italy.

Hannes, P., S. Martin and E. Henri, (2008). A 3-D Model of castle Landenberg (CH) from combined photogrammetric processing of terrestrial and UAV based images. International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences 37. 93-98.

Li, J., Y. Yao, P. Duan, Y. Chen, S. Li and C. Zhang, (2018). Studies on Three-Dimensional (3D) Modeling of UAV Oblique Imagery with the Aid of Loop-Shooting. ISPRS International Journal of Geo-Information 7(9). 356

Maître, H., D.-z. Gui, H. Sun, Z.-j. Lin, C.-c. Zhang, B. Lei, J. Feng and X.-d. Zhi, (2009). Automated texture mapping of 3D city models with images of wide-angle and light small combined digital camera system for UAV. 7498. 74982A.

FARO, (2019). Training manual for SCENE. 1st ed. [pdf file]. USA. Available at https:// faro.app.box.com/s/7v2xdi8j6id4wf9g5jlledha18s9506b/file/438034801350/ [Accessed 8 Oct. 2019].

OGC (Open Geospatial Consortium), (2008). City Geography Markup Language (CityGML) Encoding Standard (Version 1.0.0). Available online: http://portal.opengeospatial.org/files /?artifact_id=28802 (accessed on 20 August 2008).

OGC (Open Geospatial Consortium) (2012). City Geography Markup Language (CityGML) Encoding Standard (Version 2.0). Available online: http://portal.opengeospatial.org/files /?artifact_id=28802 (accessed on 4 April 2012).

Papakonstantinou, A.; Topouzelis, K.; Pavlogeorgatos, G., (2016). Coastline Zones Identification and 3D Coastal Mapping Using UAV Spatial Data. ISPRS Int. J. Geo-Inf.5, 75. OGC, (2012). OpenGIS® city geography markup language (CityGML) encoding standard, version 2.0http://www.opengeospatial.org/ standards/citygml.

Yoo, C. I., Oh, Y. S., and Choi, Y. J., (2018). Coastal mapping of Jinu-Do with UAV for Busan smart city, Korea. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 725-729. https://doi.org/10.5194/isprs-archives-XLII-4-725-2018, 2018.