Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 625-631, 2016
https://doi.org/10.5194/isprs-archives-XLI-B3-625-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
09 Jun 2016
AUTOMATIC BUILDING EXTRACTION AND ROOF RECONSTRUCTION IN 3K IMAGERY BASED ON LINE SEGMENTS
A. Köhn, J. Tian, and F. Kurz German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), 82234 Weßling, Germany
Keywords: Building detection, line segment detection, DSM, morphological filtering, RANSAC, plane fitting, vegetation identification Abstract. We propose an image processing workflow to extract rectangular building footprints using georeferenced stereo-imagery and a derivative digital surface model (DSM) product. The approach applies a line segment detection procedure to the imagery and subsequently verifies identified line segments individually to create a footprint on the basis of the DSM. The footprint is further optimized by morphological filtering. Towards the realization of 3D models, we decompose the produced footprint and generate a 3D point cloud from DSM height information. By utilizing the robust RANSAC plane fitting algorithm, the roof structure can be correctly reconstructed. In an experimental part, the proposed approach has been performed on 3K aerial imagery.
Conference paper (PDF, 2279 KB)


Citation: Köhn, A., Tian, J., and Kurz, F.: AUTOMATIC BUILDING EXTRACTION AND ROOF RECONSTRUCTION IN 3K IMAGERY BASED ON LINE SEGMENTS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 625-631, https://doi.org/10.5194/isprs-archives-XLI-B3-625-2016, 2016.

BibTeX EndNote Reference Manager XML