• DocumentCode
    2227331
  • Title

    Fractal maps dependence on SAR look angle

  • Author

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

  • Author_Institution
    Univ. di Napoli Federico II, Naples, Italy
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6641
  • Lastpage
    6644
  • Abstract
    In this paper the application of an innovative SAR image processing developed by the authors - that provides a map of the point by point fractal dimension of a single (amplitude) SAR image - to a data-set of COSMO-SkyMed images, with look angles varying from 20° to 45°, is presented. The main objective is the analysis of the fractal behavior of natural and urban scenarios, with particular evidence to the fact that fractal dimension estimation, in the case of SAR images of natural areas, turns out to be independent of the sensor viewing geometry, while for urban areas it is strongly dependent on look angle variations.
  • Keywords
    fractals; geophysical image processing; geophysical techniques; radar imaging; synthetic aperture radar; COSMO-SkyMed images; SAR look angle; fractal maps; innovative SAR image processing; natural scenario; point fractal dimension; single SAR image; urban areas; urban scenario; Business; Estimation; Fractals; Histograms; Image resolution; Synthetic aperture radar; Urban areas; SAR; fractals; spectral analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352076
  • Filename
    6352076