• DocumentCode
    3536858
  • Title

    Polarimetric scattering feature estimation for accurate vegetation area classification

  • Author

    Sato, Ryoichi ; Yamaguchi, Yoshio ; Yamada, Hiroyoshi

  • Author_Institution
    Fac. of Educ., Niigata Univ., Niigata, Japan
  • Volume
    3
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    This paper proposes an accuracy improvement of the vegetation area classification based on the POLSAR image analysis, when vegetation and man-made areas are both included in the radar target region. Here we introduce a simple compensate polarimetric marker, T13 or T31, to accurately distinguish the unexpected scattering from the obliquely oriented man-made targets and the complex volume scattering generated from vegetation area. T13 or T31 is the (1, 3) or (3, 1) elements of the 3×3 averaged coherency matrix ([T]), and has not been effectively utilized in the general scattering power decomposition scheme. By appropriately utilizing T13 (T31), one can extract only the vegetation area from the mixed target region. It is verified from the detailed analysis that the proposed marker T13(T31) works well not only for Pi-SAR data but also for ALOS/PALSAR data.
  • Keywords
    geophysical image processing; radar polarimetry; synthetic aperture radar; vegetation mapping; Advanced Land Observing Satellite data; POLSAR image analysis; Phased Array type L-band Synthetic Aperture Radar data; Polarimetric and Interferometric Airborne SAR; coherency matrix; man-made targets; polarimetric marker; polarimetric scattering feature estimation; polarimetric synthetic aperture radar; radar polarimetry; radar target region; scattering power decomposition; vegetation area classification; volume scattering; Image analysis; Image color analysis; Matrix decomposition; Monitoring; Radar imaging; Radar polarimetry; Radar scattering; Reflection; Urban areas; Vegetation mapping; ALOS/PALSAR; Pi-SAR; Radar polarimetry; polarimetric synthetic aperture radar (POLSAR); scattering power decomposition; vegetation area classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5417912
  • Filename
    5417912