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Wegner, Jan Dirk [Author]; Ok, A.O. [Author]; Thiele, A. [Author]; Rottensteiner, Franz [Author]; Sörgel, Uwe [Author]

Urban building detection from optical and insar features exploiting context - [published Version]

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  • Media type: E-Article; Text
  • Title: Urban building detection from optical and insar features exploiting context
  • Contributor: Wegner, Jan Dirk [Author]; Ok, A.O. [Author]; Thiele, A. [Author]; Rottensteiner, Franz [Author]; Sörgel, Uwe [Author]
  • imprint: Göttingen : Copernicus GmbH, 2010
  • Published in: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [PCV 2010 - Photogrammetric Computer Vision And Image Analysis, Pt I] 38 (2010), Nr. Part 3A
  • Issue: published Version
  • Language: English
  • DOI: https://doi.org/10.15488/1139
  • ISSN: 2194-9034
  • Keywords: Urban Area ; Optical Stereo Data ; Conditional Random Fields ; Konferenzschrift ; sar ; InSAR Data ; Remote Sensing ; random-fields ; Fusion
  • Origination:
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  • Description: 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.
  • Access State: Open Access
  • Rights information: Attribution (CC BY)