• DocumentCode
    3304407
  • Title

    Interpretation of buildings in high resolution sar images based on electromagnetic method

  • Author

    Zhang, Fengli ; Shao, Yun ; Wan, Zi ; Zhang, Xiao

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    2727
  • Lastpage
    2730
  • Abstract
    High resolution SAR (Synthetic Aperture Radar) will provide an innovative tool for urban area applications. Nevertheless, interpretation of SAR image in urban area is far from solved by the increase of spatial resolution. It is usually difficult to establish a determined relationship between scattering centers in high resolution SAR images and the basic units of building targets. In order to thoroughly understand the backscattering behaviour of building targets in high resolution SAR images, a method of high resolution SAR imaging simulation based on electromagnetic model is proposed in this paper, which mainly includes 3-D model establishment for the building target, triangular facets partition, RCS prediction for each facet, and SAR imaging through coherent superposition of echo from each triangular facet. Through comparison of the simulated and the original SAR image, building scatter mechanisms in high resolution SAR images can be well interpreted.
  • Keywords
    backscatter; building; echo; electromagnetic wave scattering; radar cross-sections; radar imaging; synthetic aperture radar; 3D model establishment; RCS prediction; SAR images; backscattering; building targets; coherent superposition; echo; electromagnetic model; scattering centers; spatial resolution; synthetic aperture radar; triangular facets partition; urban area; Buildings; Electromagnetics; Scattering; Solid modeling; Spatial resolution; Synthetic aperture radar; High resolution SAR; building; electromagnetic method; imaging simulation; triangular facet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5649761
  • Filename
    5649761