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3D City Models

Lupe [1]

For several years 3D city models assume a central role in urban and regional planning, surveying, navigation and telecommunications and also allow in the environmental field precise analyses and simulations of pollutant, flood and noise propagation. The application areas are therefore quite varied and lead at the present time to an increased demand. The challenge in the construction of 3D city models is in particular the large number of different and complex building forms. Thus, the issue is still a very active area of research in various scientific disciplines.

In the research field 3D City Models the Institute of Geodesy and Geoinformation Science (IGG) develops data structures and procedures, which are used for the automatic reconstruction of building plans and 3D buildings. For the modeling of large areas mostly high resolution aerial laser scanning data are taken as the primary data base in order to generate 3D models automatically by using different data- and model-driven methods. Various generalization and restriction rules are applied to create shapely 3D city models so that these results can be used in diverse applications.

Keywords: Reconstruction, Building Plan, Building, Modeling, Laser Scanning Data, Data-driven, Model-driven, Generalization, Restriction, Three-dimensional

Contact:Prof. Dr.-Ing. Martin Kada [2],
Dr.-Ing. Andreas Wichmann [3]

Relevant Publications

Wichmann, A. (2018). Grammar-Guided Reconstruction of Semantic 3D Building Models From Airborne LiDAR Data Using Half-Space Modeling [4].

Link to publication [5]

Kada, M., Wichmann, A., Manzke, N. and Filippovska, Y. (2017). A Data Model for the Interactive Construction and Correction of 3D Building Geometry Based on Planar Half-Spaces [6]. Advances in 3D Geoinformation. Springer International Publishing AG 2017, 461–476.

Link to publication [7]

Wichmann, A. and Kada, M. (2016). Joint Simultaneous Reconstruction of Regularized Building Superstructures from Low-density LiDAR Data Using ICP [8]. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 371–378.

Link to publication [9]

Jung, J., Sohn, G., Bang, K., Wichmann, A., Armenakis, C. and Kada, M. (2016). Matching Aerial Images to 3D Building Models Using Context-Based Geometric Hashing [10]. Sensors, 932.

Link to publication [11]

Albers, B., Kada, M. and Wichmann, A. (2016). Automatic Extraction and Regularization of Building Outlines from Airborne LiDAR Point Clouds [12]. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 555–560.

Link to publication [13]

Wichmann, A., Jung, J., Sohn, G., Kada, M. and Ehlers, M. (2015). Integration of Building Knowledge into Binary Space Partitioning for the Reconstruction of Regularized Building Models [14]. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 541–548.

Link to publication [15]

Wichmann, A. and Kada, M. (2014). 3D Building Adjustment Using Planar Half-Space Regularities [16]. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 189–196.

Link to publication [17]

Kada, M. and Wichmann, A. (2013). Feature-Driven 3D Building Modeling Using Planar Halfspaces [18]. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37–42.

Link to publication [19]

Kada, M. and Wichmann, A. (2012). Sub-Surface Growing and Boundary Generalization for 3D Building Reconstruction [20]. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 233–238.

Link to publication [21]

Haala, N. and Kada, M. (2010). An update on automatic 3D building reconstruction [22]. ISPRS Journal of Photogrammetry and Remote Sensing, 570–580.

Link to publication [23]

Kada, M. (2009). The 3D Berlin project [24]. Photogrammetric Week 0́9. Wichmann Verlag, 331–340.

Link to publication [25]

Kada, M. and McKinley, L. (2009). 3D building reconstruction from LiDAR based on a cell decomposition approach [26]. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 47–52.

Link to publication [27]

Haala, N., Becker, S. and Kada, M. (2007). Cell decomposition for building model generation at different scales [28]. 2007 Urban Remote Sensing Joint Event (IEEE)

Link to publication [29]

Contact

Martin Kada
+49 30 314 23274
2nd Floor,Kaiserin-Augusta-Allee 104-102
Room KAI 2302

Contact

Andreas Wichmann
+49 30 314 29498
5th Floor, Main Building
Room H 5128
e-mail query [30]
Website [31]
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