• DocumentCode
    2281247
  • Title

    Potential and limits of InSAR data for the reconstruction of buildings

  • Author

    Stilla, U. ; Soergel, U. ; Thoennessen, U.

  • Author_Institution
    FGAN-FOM Res. Inst. for Optronics & Pattern Recognition, Ettlingen, Germany
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    64
  • Lastpage
    68
  • Abstract
    The automatic reconstruction of buildings for the generation of city models is of great interest for different tasks. 3D information can be directly obtained from both, laser (LIDAR) and radar (InSAR) measurements. The data acquisition by SAR is described, with emphasis on the special properties of the interferometric SAR principle. A segmentation approach for building reconstruction is proposed. In the case of InSAR, special effects are taken into account, which are caused by the side-looking illumination. The estimation of the signal noise is considered in the segmentation process. Besides the elevation, the intensity information is exploited to detect building areas. The results show that building reconstruction is possible from InSAR, but the achievable level of detail cannot be compared with LIDAR. Inherent geometric constraints which limit the reconstruction of buildings from SAR data of dense urban areas are discussed
  • Keywords
    image reconstruction; image segmentation; radar imaging; radiowave interferometry; remote sensing by radar; synthetic aperture radar; terrain mapping; InSAR data; buildings; city models; data acquisition; elevation information; geometric constraints; intensity information; interferometric SAR; object recognition; radar measurements; reconstruction; segmentation approach; side-looking illumination; signal noise; synthetic aperture radar; urban areas; Cities and towns; Data acquisition; Laser radar; Lighting; Radar measurements; Rough surfaces; Surface roughness; Surface topography; Synthetic aperture radar interferometry; Urban areas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing and Data Fusion over Urban Areas, IEEE/ISPRS Joint Workshop 2001
  • Conference_Location
    Rome
  • Print_ISBN
    0-7803-7059-7
  • Type

    conf

  • DOI
    10.1109/DFUA.2001.985728
  • Filename
    985728