Volume XL-1/W1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W1, 213-219, 2013
https://doi.org/10.5194/isprsarchives-XL-1-W1-213-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W1, 213-219, 2013
https://doi.org/10.5194/isprsarchives-XL-1-W1-213-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

  02 May 2013

02 May 2013

FROM DSM TO 3D BUILDING MODELS: A QUANTITATIVE EVALUATION

J. M. Macay Moreia, F. Nex, G. Agugiaro, F. Remondino, and N. J. Lim J. M. Macay Moreia et al.
  • University of Gävle, Sweden
  • University of Extremadura, Spain
  • 3D Optical Metrology unit, Bruno Kessler Foundation (FBK), Trento, Italy

Keywords: 3D buildings, DSM, Quantitative analyses, Geometry, City Model, LoD

Abstract. The paper reviews the state-of-the-art in 3D city models and building block generation, with a description of the most common solutions and approaches. Then the digital reconstruction and comparison of LoD1 and LoD2 building models obtained with commercial packages and using different input data are presented. As input data, a DSM at 1m resolution derived from a GeoEye-1 stereo-pair, a DSM from an aerial block at 50 cm GSD and a LiDAR-based DSM at 1 m resolution are used. The geometric buildings produced with each dataset are evaluated with respect to some ground-truth measurements but also compared between them. Problems such as the quality of the input DSM, the accuracy of the necessary vector datasets containing the building footprints, the flexibility of the approaches and the potentialities of each dataset will be discussed. As reconstruction of the building models is largely influenced by the quality of the building footprints, which may be out-of-date or slightly shifted with respect to the employed DSMs/DTMs, an in-house method is being developed to derive them starting from the produced DSMs.