• DocumentCode
    484529
  • Title

    Polarimetric Scattering Model Decomposition for Pol-InSAR Data

  • Author

    Yamada, H. ; Yamaguchi, Y. ; Sato, R.

  • Author_Institution
    Fac. of Eng., Niigata Univ., Niigata
  • Volume
    4
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    This paper presents scattering model decomposition technique with Pol-InSAR datasets. The target model decomposition based on the scattering mechanisms corresponding to surface, double, and volume scattering, is one of the powerful tools to analyze and classify the ground surface conditions with fully polarimetric SAR data. However, we sometimes meet difficulty that the power of the decomposed component(s) becomes negative. This is caused by assumptions in the decomposition technique. When a Pol-InSAR dataset is available, additional observables can be obtained. These new observables will be available to resolve the difficulty of negative power in the conventional decomposition technique. In this paper, we consider the scattering model decomposition technique with Pol-InSAR data, and propose some modifications for the decomposition.
  • Keywords
    geophysical techniques; radar interferometry; radar polarimetry; radar signal processing; synthetic aperture radar; Pol-InSAR data; ground surface conditions; polarimetric scattering model decomposition; Covariance matrix; Data engineering; Electronic mail; Image analysis; Matrix decomposition; Polarimetric synthetic aperture radar; Power engineering and energy; Radar scattering; Remote monitoring; Shape; ESPRIT algorithm; Forest canopy; Pol-InSAR; scattering model decomposition; volume scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779725
  • Filename
    4779725