URBAN BUILDING DETECTION FROM OPTICAL AND INSAR FEATURES EXPLOITING CONTEXT


Wegner J. D. , OK A. , Thiele A., Rottensteiner F., Soergel U.

ISPRS-Technical-Commission III Symposium on Photogrammetric Computer Vision and Image Analysis (PCV), Saint-Andre, Reunion, 1 - 03 September 2010, vol.38, pp.239-244 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 38
  • City: Saint-Andre
  • Country: Reunion
  • Page Numbers: pp.239-244

Abstract

We investigate the potential of combined features of aerial images and high-resolution interferometric SAR (InSAR) data for building detection in urban areas. It is shown that completeness and correctness may be increased if we integrate both InSAR double-bounce lines and 3D lines of stereo data in addition to building hints of a single optical orthophoto. In order to exploit context information, which is crucial for object detection in urban areas, we use a Conditional Random Field approach. It proves to be a valuable method for context-based building detection with multi-sensor features.