• DocumentCode
    1368788
  • Title

    Ray-Tracing Simulation Techniques for Understanding High-Resolution SAR Images

  • Author

    Auer, Stefan ; Hinz, Stefan ; Bamler, Richard

  • Author_Institution
    Remote Sensing Technol., Tech. Univ. Munchen, Munich, Germany
  • Volume
    48
  • Issue
    3
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    1445
  • Lastpage
    1456
  • Abstract
    In this paper, a simulation concept is presented for creating synthetic aperture radar (SAR) reflectivity maps based on ray tracing. Three-dimensional models of man-made objects are illuminated by a virtual SAR sensor whose signal is approximated by rays sent through the model space. To this end, open-source software tools are adapted and extended to derive output data in SAR geometry followed by creating the reflectivity map. Rays can be followed for multiple reflections within the object scene. Signals having different multiple reflection levels are stored in separate image layers. For evaluating the potentials and limits of the simulation approach, simulated reflectivity maps and distribution maps are compared with real TerraSAR-X images for various complex man-made objects like a skyscraper in Tokyo, the Wynn Hotel in Las Vegas, and the Eiffel Tower in Paris. The results show that the simulation can provide very valuable information to interpret complex SAR images or to predict the reflectivity of planned SAR image acquisitions.
  • Keywords
    geophysical image processing; ray tracing; remote sensing by radar; synthetic aperture radar; Eiffel Tower; SAR geometry; SAR image acquisitions; SAR reflectivity maps; TerraSAR-X images; Tokyo skyscraper; Wynn Hotel; high-resolution SAR images; man-made object 3D models; open-source software tools; ray-tracing simulation techniques; simulation concept; synthetic aperture radar; virtual SAR sensor; 3-D modeling; Persistence of Vision Ray (POV Ray); TerraSAR-X; radar scattering; ray tracing; synthetic aperture radar (SAR) simulation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2009.2029339
  • Filename
    5238514