• DocumentCode
    1205937
  • Title

    POLSAR Image Analysis of Wetlands Using a Modified Four-Component Scattering Power Decomposition

  • Author

    Yajima, Yuki ; Yamaguchi, Yoshio ; Sato, Ryoichi ; Yamada, Hiroyoshi ; Boerner, Wolfgang-Martin

  • Author_Institution
    Fac. of Enigineering, Niigata Univ., Niigata
  • Volume
    46
  • Issue
    6
  • fYear
    2008
  • fDate
    6/1/2008 12:00:00 AM
  • Firstpage
    1667
  • Lastpage
    1673
  • Abstract
    It is important to monitor environmental changes of the Earth´s cover by remotely sensed data. This paper analyzes seasonal changes of a wetland by a modified polarimetric four-component scattering power decomposition method. The data sets analyzed here are L- and X-band fully polarimetric synthetic aperture radar (POLSAR) data, which have been acquired by the NICT/JAXA airborne polarimetric and interferometric synthetic aperture radar system in 2004. Since there existed a deficiency in the currently adopted decomposition schemes in that negative powers appear in a few pixels in the image analysis, we modified the approach taking into account physical conditions. It is shown by the modified scheme that the seasonal changes and features of the vegetation near Sakata Lagoon in Niigata, Japan, are observed clearly, demonstrating the utility of POLSAR image analysis for wetland assessments in general.
  • Keywords
    image processing; radar polarimetry; synthetic aperture radar; vegetation; AD 2004; Earth cover; Japan; L-band; NICT-JAXA; Niigata; POLSAR image analysis; Sakata Lagoon; X-band; environmental changes; interferometric synthetic aperture radar system; modified polarimetric four-component scattering power decomposition method; physical conditions; remotely sensed data; seasonal changes; vegetation features; wetlands; Coherency matrix; polarimetric synthetic aperture radar (POLSAR); radar polarimetry; scattering contribution decomposition; symmetric and asymmetric coherency matrix; wetland assessment;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2008.916326
  • Filename
    4505284