• DocumentCode
    614259
  • Title

    Building characterization using polarimetric tomographic SAR data

  • Author

    Guillaso, Stephane ; D´Hondt, Olivier ; Hellwich, Olaf

  • Author_Institution
    Comput. Vision & Remote Sensing, Berlin Univ. of Technol., Berlin, Germany
  • fYear
    2013
  • fDate
    21-23 April 2013
  • Firstpage
    234
  • Lastpage
    237
  • Abstract
    This paper describes the characterization of buildings using fully polarimetric tomographic SAR data at L-Band. This analysis is performed in three steps. Polarimetric tomographic data are first processed using the high resolution spectral estimator MUSIC (FP-MUSIC-1), assuming 1 scatterer. Then, points of interest are extracted using a novel signal-to-noise index. A strong reduction of artifacts is observed. Finally, detected scatterers are identified by retrieving their polarization state.
  • Keywords
    geophysical image processing; radar imaging; radar polarimetry; remote sensing; synthetic aperture radar; FP-MUSIC-1; L- Band; artifacts reduction; building characterization; high resolution spectral estimator MUSIC; polarimetric tomographic SAR data; polarization state; scatterer detection; signal-to-noise index; Buildings; Estimation; Indexes; Synthetic aperture radar; Three-dimensional displays; Tomography; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event (JURSE), 2013 Joint
  • Conference_Location
    Sao Paulo
  • Print_ISBN
    978-1-4799-0213-2
  • Electronic_ISBN
    978-1-4799-0212-5
  • Type

    conf

  • DOI
    10.1109/JURSE.2013.6550708
  • Filename
    6550708