• DocumentCode
    13607
  • Title

    Hybrid Freeman/Eigenvalue Decomposition Method With Extended Volume Scattering Model

  • Author

    Singh, Gagan ; Yamaguchi, Yoshio ; Park, Sang-Eun ; Cui, Yan ; Kobayashi, Hideo

  • Author_Institution
    Graduate School of Science and Technology, Niigata University, Niigata , Japan
  • Volume
    10
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan. 2013
  • Firstpage
    81
  • Lastpage
    85
  • Abstract
    In this letter, an advanced version of the hybrid Freeman/eigenvalue decomposition technique for land parameter extraction is presented with an illustrative example of application. The motivation arises from decomposition problems in obtaining a meaningful volume scattering estimation, so that the technique can be used for both oriented objects and vegetation/forest areas. The idea is to improve the accuracy of the required parameter extraction. Two strategies are adopted to increase the applicability of a hybrid Freeman/eigenvalue decomposition technique: One is the unitary transformation of the coherency matrix; the other is to use an extended volume scattering model. The extension of the volume scattering model plays an essential role for the hybrid Freeman/eigenvalue decomposition technique. Since the volume scattering power is evaluated by assuming that the HV component is caused by vegetation only in the existing technique, an extended volume scattering power approach is utilized. It is shown that vegetation areas and oriented objects such as urban building areas are well discriminated by the proposed technique as compared to the existing techniques.
  • Keywords
    Eigenvalues and eigenfunctions; Matrix decomposition; Remote sensing; Scattering; Solid modeling; Urban areas; Vegetation mapping; Coherency matrix; hybrid Freeman/eigenvalue decomposition; polarimetric synthetic aperture radar (POLSAR); unitary transformation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2012.2193373
  • Filename
    6203364