• DocumentCode
    1430054
  • Title

    On the Relationship Between Double Bounce and the Orientation of Buildings in VHR SAR Images

  • Author

    Ferro, Adamo ; Brunner, Dominik ; Bruzzone, Lorenzo ; Lemoine, Guido

  • Author_Institution
    Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento, Italy
  • Volume
    8
  • Issue
    4
  • fYear
    2011
  • fDate
    7/1/2011 12:00:00 AM
  • Firstpage
    612
  • Lastpage
    616
  • Abstract
    In this letter, we study empirically the relation between the double-bounce effect of buildings in very high resolution (VHR) synthetic aperture radar (SAR) and the orientation angle for two different ground materials (i.e., asphalt and grass) by analyzing two different TerraSAR-X VHR spaceborne SAR images. Furthermore, we compare our empirical results with the simulations obtained using theoretical electromagnetic models. In order to deal with slightly rough surfaces, we also present a novel model for double-bounce scattering based on the small-perturbation method. We show that the double-bounce effect results in different power signatures, depending on the type of the building and the surrounding ground properties. Finally, we discuss the reliability of theoretical models for predicting the double-bounce power for the analyzed data sets. The models can predict the general behavior of the double bounce but lack in calculating the accurate double-bounce radar cross section reliably.
  • Keywords
    perturbation theory; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; TerraSAR-X VHR spaceborne SAR images; double-bounce effect; double-bounce radar cross section; double-bounce scattering; ground materials; perturbation method; radar remote sensing; synthetic aperture radar; very high resolution; Asphalt; Rough surfaces; Scattering; Surface roughness; Urban areas; Double bounce; radar remote sensing; synthetic aperture radar (SAR); urban areas; very high geometrical resolution images;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2010.2097580
  • Filename
    5692807