Abstract
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.
C. Rebelo—CICS.NOVA Interdisciplinary Centre of Social Sciences - Faculdade de Ciencias Sociais e Humanas - Universidade Nova de Lisboa.
J.A. Goncalves—Faculdade de Ciencias da Universidade do Porto.
J. Marnoto—SINFIC, S.A.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Hirschmüller, H., Bucher, T.: Evaluation of Digital Surface Models by Semi-Global Matching. Robotics (2010). http://www.robotic.dlr.de/Heiko.Hirschmueller
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)
Leonard, K., Rousseeuw, P.J.: Finding Groups in Data: An Introduction to Cluster Analysis. John Wiley & Sons, Inc. (2008). doi:10.1002/9780470316801.indauth
Khoshelham, K., Nardinocchi, C., Frontoni, E., Mancini, A., Zingaretti, P.: Performance evaluation of automated approaches to building detection in multi-source aerial data. ISPRS Journal of Photogrammetry and Remote Sensing 65(1), 123–133 (2010)
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)
Lafarge, F., Mallet, C.: Creating large-scale city models from 3D-point clouds: A robust approach with hybrid representation. International Journal of Computer Vision 99(1), 69–85 (2012)
Lemmens, M.: Geo-information: Technologies, Applications and the Environment. Geotechnologies and the Environment. Springer (2011). http://www.google.pt/books?id=n_tUAWYg4UQC
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
Xie, F., Lin, Z., Gui, D., Lin, H.: Study on construction of 3D building based on UAV images (2012)
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Rebelo, C., Rodrigues, A.M., Tenedório, J.A., Goncalves, J.A., Marnoto, J. (2015). Building 3D City Models: Testing and Comparing Laser Scanning and Low-Cost UAV Data Using FOSS Technologies. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9157. Springer, Cham. https://doi.org/10.1007/978-3-319-21470-2_26
Download citation
DOI: https://doi.org/10.1007/978-3-319-21470-2_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-21469-6
Online ISBN: 978-3-319-21470-2
eBook Packages: Computer ScienceComputer Science (R0)