• DocumentCode
    247675
  • Title

    Fractal dimension images from SAR images

  • Author

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

  • Author_Institution
    DIETI, Univ. di Napoli Federico II, Naples, Italy
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    106
  • Lastpage
    110
  • Abstract
    In this paper we present the description of the image-processing issues underlying the estimation of the fractal dimension of natural surfaces from their corresponding synthetic aperture radar images. The choice of the spectral-estimation method is a key issue, due to the special nature of the problem at hand. In particular, fractal spectra present well-known leakage problems; moreover, high-variance issues can arise, due to the limited sample size dictated by the local nature of the problem. Meaningful examples of fractal dimension images are provided and discussed.
  • Keywords
    fractals; radar computing; radar imaging; synthetic aperture radar; SAR images; fractal dimension estimation; fractal dimension images; fractal spectra; high-variance issues; image-processing issues; leakage problems; natural surfaces; spectral-estimation method; synthetic aperture radar images; Estimation; Fractals; Optical surface waves; Rough surfaces; Surface roughness; Surface treatment; Synthetic aperture radar; SAR; fractals; spectral estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025020
  • Filename
    7025020