Archives
 
Year 2022
 
Vol 63, Issue 4, [08 - 2022]

Study on workflow of acquiring, processing, and classifying LiDAR point cloud for establishment of 3D city models

DOI:10.46326/JMES.2022.63(4).01

  • Affiliations:

    1 Hanoi University of Mining and Geology, Hanoi, Vietnam
    2 Natural resources and Environment One Member Co., Ltd, Hanoi, Vietnam
    3 Goverment office, Hanoi, Vietnam

  • *Corresponding:
    This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Received: 15th-Mar-2022
  • Revised: 30th-June-2022
  • Accepted: 1st-Aug-2022
  • Online: 31st-Aug-2022
Pages: 1 - 12
Views: 3980
View onlineView online
Downloads: 2443
Downdload PDF
★★★★★Rating: 1.0, Total rating: 244
  • ★
  • ★
  • ★
  • ★
  • ★
Yours rating

Abstract:

Along with the development of mapping technologies, the data acquisition system through the aerial laser scanning system has created a huge LiDAR point cloud data source. This is an essential and detailed data source that effectively serves various fields such as making maps and 3D maps, etc. The process of building 3D city models requires processing many types of data, at which point cloud data processing and classification play an essential role in creating an input data source for the model. Study on workflow for acquiring, processing, and classifying point cloud data is meaningful. It plays a vital role in the development and application of LiDAR technique in the current period, especially in building smart cities. The article introduces a method for acquiring, processing, and classifying LiDAR point cloud data to establish 3D city models. Based on the proposed approach, a pilot 3D model of the city in Thuong Ly ward, Hong Bang district, Hai Phong city was generated. The result of point cloud classification’s accuracy is very good, ranging from 92% to 99% depend on type of object. Based on the classification, the city’s 3D model is established with 2nd Level of Detail (LOD2) for Thuong Ly ward. The model is very useful in urban planning and management, and in the number of managing task such as infrastructure development, rescues and disaster prevention, military services and real estate business.

How to Cite
Duong, Q.Anh, Le, H.Dinh, Pham, H.Van, Nguyen, C.Quoc and Bui, Q.Ngoc 2022. Study on workflow of acquiring, processing, and classifying LiDAR point cloud for establishment of 3D city models (in Vietnamese). Journal of Mining and Earth Sciences. 63, 4 (Aug, 2022), 1-12. DOI:https://doi.org/10.46326/JMES.2022.63(4).01.
References

Aravind H., (2019). Advanced methods for tree species classification and biophysical parameter estimation using crown geometric information in high density LiDAR data. PhD Dissertation, International Doctorate School in Information and Communication Technologies, DISI - University of Trento.

Bui, N.Q., (2015). Applicability of Cyber City model in urban planning. National conference on GIS, p 118-122. (In Vietnamese). 

Bui, N.Q., Le, D.H., Duong, A.Q., Nguyen, Q.L., (2021). Rule-based classification of Airborne Laser Scanner data for automatic extraction of 3D objects in the urban area. Journal of the Polish Mineral Engineering Society, Vol. 2, Iss. 48, PP. 103-114. DOI: https://doi.org/10.29227/IM-2021-02-09.

Bui, N.Q., Le, D.H., Nguyen, Q.L., Tong, S.S., Duong, A.Q., Pham, V.H., Phan, T.H., Pham, T.L., (2020). Method of defining the parameters for UAV point cloud classification algorithm. Journal of the Polish Mineral Engineering Society, Vol. 1, Iss. 46, PP. 49-56. DOI: https://doi.org/10. 29227/IM-2020-02-08.

Bui, N.Q., Pham, V.H., (2017). Research on 3D model from unmanned aerial vehicle (UAV) images. Journal of Mining and Geology, Vol. 4, Iss. 58, PP. 1-11. http://tapchi. humg.edu.vn/vi /archives? article=873.

Drogue G., Pfister L., Leviandier T., Humbert J., Hoffmann L., El Idrissi A., J.-F Iffly, (2002). Using 3D dynamic cartography and hydrological modelling for linear streamflow mapping. Computers and Geosciences, Volume 28, Issue 8, October 2002, Pages 981-994.

Fuan T., (2013). Cyber city Implementation, Visualization and applications. Center for Space and Remote Sensing Research, National University Central, Taiwan.

Gerhard G., Lutz Plümer, 2011. Topology of surfaces modelling bridges and tunnels in 3D-GIS. Computers, Environment and Urban Systems, Volume 35, Issue 3, May 2011, Pages 208-216.

Le, D.H., (2019). Research on processing workflow of data obtained from Leica City Mapper Lidar imaging and scanning flight system in establishing Cyber City model. Master Thesis, Hanoi University of Mining and Geology. (in Vietnamese).

Le, V.C., Cao, X.C., Nguyen, Q.L., Le, T.T.H., Tran, T.A., Xuan-Nam, B., (2020). Experimental investigation on the performance of DJI Phantom 4 RTK in the PPK mode for 3D mapping open-pit mines. Journal of the Polish Mineral Engineering Society, Vol. 1, Iss. 2, pp 65-74, DOI: https://doi.org/ 10.29 227/IM-2020-02-10.

Masahiko M., (2004). 3D-GIS Application for Urban Planning based on 3D City Model”, PASCO Corporation, Tokyo, Japan.

Siyka Z., Alias Abdul R., Morakot P., (2002). Trends in 3D GIS development. Journal of Geospatial Engineering, Vol. 4, No. 2, pp.1-10.

Zhao Z., (2012). Research on 3D Digital Map System and Key Technology. Procedia Environmental Sciences, Part A, International Conference of Environmental Science and Engineering, pp 514-520.

Other articles