Volume I-3
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-3, 317-322, 2012
https://doi.org/10.5194/isprsannals-I-3-317-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-3, 317-322, 2012
https://doi.org/10.5194/isprsannals-I-3-317-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  20 Jul 2012

20 Jul 2012

RECONSTRUCTION OF RECTANGULAR WINDOWS IN MULTI-LOOKING OBLIQUE VIEW ALS DATA

S. Tuttas and U. Stilla S. Tuttas and U. Stilla
  • Photogrammetry and Remote Sensing, Technische Universität München, 80290 München, Germany

Keywords: LIDAR, Urban, Reconstruction, Building, Point Cloud

Abstract. With multi-looking oblique view airborne laser scanning (ALS) it is possible to create point clouds with a nearly complete 3D coverage of a larger area. This allows, in contrast to nadir view ALS, the extraction of façade information. This paper concentrates on the reconstruction of windows. Because of the limited point density, received from oblique view ALS, the approach aims at the reconstruction of rectangular windows from sparse point clouds (<10 points/ m2). In a pre-processing step window centres are determined. For that indoor points, which lie behind the façades planes, are detected. The following reconstruction process consists of two main steps. First the window centres are used to create a hypothesis for the window outline by searching for a rectangle with maximum size, which includes the window centre but no points of the point cloud. In the second step these outlines are represented by probability density functions to model the uncertainty of the edges. All edges of one type, i.e. left, right, upper or lower edge, are combined by multiplication of their functions. Subsequently these functions are used to allocate the final edge positions to each window. The windows can be reconstructed with a width and height error of a few decimetres, what corresponds to the typical point distance in the point cloud, as far as the window centres are provided in a sufficient quality. The approach performs better the more equal windows are arranged in a façade row or column.