Building 3D City Models: Testing and Comparing Laser Scanning and Low-Cost UAV Data Using FOSS Technologies
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Presently, the use of new technologies for the acquisition of 3D geographical data on time is very important for urban planning. Applications include evaluation and monitoring of urban parameters (ie. volumetric data),indicators of an urban plan, or monitoring built-up areas and illegal buildings. This type of 3D data can be acquired through an Airborne Laser Scanning system, also known as LiDAR (Light Detection And Ranging) or by Unmanned Aerial Vehicles (UAV). The aim of this article is to use and compare these two technologies for extracting building parameters (facade height and volume). Existing literature evaluates each technology separately. This work pioneers benchmarking between LiDAR and UAV point-clouds. The basic function of LiDAR is collecting a georeferenced and dense 3D point-cloud from a laser scanner during flight. Therefore it is possible to obtain a similar 3D point-cloud using processing algorithms for stereo aerial images, obtained by large or small-format digital cameras (the small-format camera implemented in Unmanned Aerial Vehicles). The chosen study area is located in Praia de Faro, an open sandy beach in Algarve (Southern Portugal), limited west by the Ria Formosa barrier island system. The area defined has an extension of 300100m. The methodology is divided in two distinct stages: (1) building parameters extraction, (2) comparative technology analysis. Lidar point-cloud resolution is approximately 6 pts/m2 and UAV point-cloud 60 pts/m2. FOSS technologies have proven to be the most adequate adequate platform for the development and diffusion of advanced analytical tools in the Geographical Information Sciences (GISci). Data management in this paper is supported by a Geographical Database Management System (GDBMS), implemented using PostgreSQL and PostGIS. Statistical analysis is performed using R whilst advanced spatial functions are used in GRASS.
KeywordsLiDAR UAV FOSS Point-cloud Building parameters
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- 1.Hirschmüller, H., Bucher, T.: Evaluation of Digital Surface Models by Semi-Global Matching. Robotics (2010). http://www.robotic.dlr.de/Heiko.Hirschmueller
- 2.Hyyppä, J.: State of the art in laser scanning. In: Fritsch, D. (ed.) Photogrammetric week 2011, No. 2008, pp. 203–216. Institut für Photogrammetrie (2011)Google Scholar
- 3.Leonard, K., Rousseeuw, P.J.: Finding Groups in Data: An Introduction to Cluster Analysis. John Wiley & Sons, Inc. (2008). doi:10.1002/9780470316801.indauthGoogle Scholar
- 5.Küng, O., Strecha, C., Beyeler, A., Zufferey, J.C., Floreano, D., Fua, P., Gervaix, F.: The accuracy of automatic photogrammetric techniques on ultra-light UAV imagery (2012)Google Scholar
- 7.Lemmens, M.: Geo-information: Technologies, Applications and the Environment. Geotechnologies and the Environment. Springer (2011). http://www.google.pt/books?id=n_tUAWYg4UQC
- 8.Tenedório, J.A., Rebelo, C., Estanqueiro, R., Henriques, C.D., Marques, L., Gonçalves, J.A.: New developments in geographical information technology for urban and spatial planning. In: Pinto, N.N., Tenedório, J.A., Antunes, A.P., Roca, J. (eds.) Technologies for Urban and Spatial Planning: Virtual Cities and Territories, Chap. 10, pp. 196–227. IGI Global, Hershey/Pennsylvania (2013). http://www.igi-global.com/chapter/new-developments-in-geographical-information-technology-for-urban-and-spatial-planning/104217 Google Scholar
- 9.Xie, F., Lin, Z., Gui, D., Lin, H.: Study on construction of 3D building based on UAV images (2012)Google Scholar
- 10.Zeng, Q.Z.Q., Lai, J.L.J., Li, X.L.X., Mao, J.M.J., Liu, X.L.X.: Simple building reconstruction from LIDAR point cloud. 2008 International Conference on Audio, Language and Image Processing (2008)Google Scholar