• DocumentCode
    2138930
  • Title

    A joint classification technique based on multivariate annealing segmentation and "H/A/α_" decomposition for fully polarimetric SAR images of suburban areas

  • Author

    Lombardo, P. ; Pellizzeri, T. Macrì ; Tomasuolo, A.

  • Author_Institution
    INFOCOM Dept., Rome Univ., Italy
  • Volume
    6
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2922
  • Abstract
    A joint classification technique is proposed for fully polarimetric SAR images of suburban areas. The technique is based on the joint use of H/A/α_ decomposition and multivariate annealing segmentation. This allows one to exploit the information available in the noisy estimate of the anisotropy parameter, retaining the highest possible spatial resolution. This is obtained by jointly processing the anisotropy with entropy and α_ angle, so that it is regularized by their more stable values. The application of the proposed technique to a AIRSAR image of suburban areas shows its practical effectiveness
  • Keywords
    image classification; image segmentation; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; terrain mapping; H/A/α decomposition; L-band AIRSAR image; anisotropy parameter; joint classification technique; multivariate annealing segme fitation; multivariate annealing segmentation; polarimetric SAR images; suburban areas; Anisotropic magnetoresistance; Annealing; Degradation; Eigenvalues and eigenfunctions; Entropy; Image segmentation; Parameter estimation; Reflection; Scattering; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-7031-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2001.978207
  • Filename
    978207