• DocumentCode
    143813
  • Title

    Fractal dimension estimation from fully polarimetric SAR data

  • Author

    Di Martino, Gerardo ; Franceschetti, Giorgio ; Iodice, Antonio ; Riccio, Daniele ; Ruello, Giuseppe ; Zinno, Ivana

  • Author_Institution
    DIETI, Univ. di Napoli Federico II, Naples, Italy
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    3482
  • Lastpage
    3485
  • Abstract
    Fractal dimension is widely recognized as key parameter for the geophysical characterization of natural surfaces. A technique for estimating the fractal dimension of a surface from range cuts of an amplitude SAR image has been recently developed by the authors. In this paper, we explore the potentiality of using fully polarimetric SAR data for the retrieval of the fractal dimension along the azimuth direction. This is obtained exploiting the Polarimetric Two-Scale model for the description of polarimetric data. In particular, specific polarimetric combinations are considered, which provide images with strong dependence on the azimuth slopes of the observed surface. The proposed technique is tested on actual fully polarimetric AirSAR L-band data.
  • Keywords
    geophysical techniques; radar polarimetry; remote sensing by radar; synthetic aperture radar; amplitude SAR image; fractal dimension estimation; fully polarimetric SAR data; geophysical characterization; natural surfaces; polarimetric AirSAR L-band data; polarimetric two-scale model; surface fractal dimension; Atmospheric modeling; Azimuth; Estimation; Fractals; Remote sensing; Scattering; Synthetic aperture radar; SAR; fractals; polarimetry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947232
  • Filename
    6947232