Abstract
The Bavarian State Office for Surveying and Geoinformation has launched a statewide 3D Building Model with standardized roof shapes without textures for all 8.1 million buildings in Bavaria. For acquisition of the 3D Building Model LiDAR-data are used as data basis as well as the building ground plans of the official cadastral map and a list of standardized roof shapes. The data management of the 3D Building Model is carried out by a central database with the usage of a nationwide standardized data model and the data exchange interface CityGML. On the one hand the update of the 3D Building Model for new buildings is done by terrestrial building measurements within the maintenance process of the cadastre. On the other hand the roofs of buildings which were built after the LiDAR flight and which were not measured terrestrially yet, are captured by means of picture-based digital surface-models derived from image-matching of oriented aerial photographs (DSM from image matching).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aringer K, Hümmer F (2011) Die dritte dimension im Kataster—Aufbau eines landesweiten Gebäudemodells am Beispiel Bayerns. Zeitschrift für Geodäsie, Geoinf Landmanagement (zfv) 4:210–218
Haala N (2011) Multiray photogrammetry and dense image matching. Photogram Week 185–195 (Wichmann Verlag, Berlin/Offenbach)
Rottensteiner F, Sohn G, Jung J, Gerke M, Baillard C, Benitez S, Breitkopf U (2012) The ISPRS benchmark on urban object classification and 3D building reconstruction. In: ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, XXII ISPRS Congress, vol I-3, Melbourne, Australia, 25 Aug–01 Sept
Rottensteiner F, Briese Ch (2003) Automatic generation of building models from LiDAR data and the integration of aerial images. In: International archives of photogrammetry, remote sensing and spatial information sciences, vol XXXIV, part 3/W13, Dresden, Germany, pp 174–180
Schilcher M, Guo Z, Klaus M, Roschlaub R (1998) Semi automatic derivation of 3D-city-models from existing 2D-geoinformation systems, In: Spatial information science and technology SIST, Wuhan, China, 13–16 Dec
Schilcher M, Guo Z, Klaus M, Roschlaub R (1999) Aufbau von 3D-Stadtmodellen auf der Basis von 2D-GIS. Photogram Fernerkundung Geoinf (PFG) 3:157–170
Schilcher M, Roschlaub R (1999) Fortführung und Wiederverwendbarkeit von 3D-Stadtmodellen durch Kombination von GIS und Photogrammetrie. In: von Ebner H, München TU (eds) Festschrift aus Anlass des 60. Geburtstags, pp 267–281
Stolz M (2013) Digitale Oberflächenmodelle aus Bildkorrelation, DVW. eingereicht für 3
Vosselman G (2002) Fusion of laser scanning data, maps and aerial photographs for building reconstruction, In: IEEE international geoscience and remote sensing, symposium on CD-ROM, Toronto, Canada, 24–28 June, pp 85–88
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Aringer, K., Roschlaub, R. (2014). Bavarian 3D Building Model and Update Concept Based on LiDAR, Image Matching and Cadastre Information. In: Isikdag, U. (eds) Innovations in 3D Geo-Information Sciences. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-00515-7_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-00515-7_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00514-0
Online ISBN: 978-3-319-00515-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)