• DocumentCode
    2107554
  • Title

    Fractal behavior of sea SAR ERS-1 images

  • Author

    Berizzi, F. ; Gamba, P. ; Garzelli, A. ; Bertini, G. ; Acqua, F. Dell´

  • Author_Institution
    Dipt. di Inf. Eng., Pisa Univ., Italy
  • Volume
    2
  • fYear
    2002
  • fDate
    24-28 June 2002
  • Firstpage
    1114
  • Abstract
    Fractal dimension of the sea surface is strictly related to its roughness, and may thus be helpful in determining the sea state, or where motion-damping oil spills are located. A possible way to determine the fractal dimension of the sea surface is that of performing a fractal analysis of remote sensing images, in particular satellite images, which have the advantage of observing a large area at one time. This paper aims to show the utility of fractal analysis of ERS-1 SAR images, and presents the results obtained by three different algorithms. The considered data was sensed by ERS-1 in the Mediterranean Sea at times and locations suitable for comparison with data coming from the Italian "Sistema Ondametrico Nazionale," an environmental measurement system including a number of buoys carrying accelerometers and communications instruments. The experimental results show some accordance between the buoy data and the ERS-1 fractal analysis outcome, but more data are required to provide statistical support to the conclusions.
  • Keywords
    fractals; geophysical signal processing; ocean waves; oceanographic regions; oceanographic techniques; radar imaging; remote sensing by radar; rough surfaces; synthetic aperture radar; water pollution; Mediterranean Sea; fractal behavior; fractal dimension; motion-damping oil spills; satellite images; sea SAR ERS-1 images; sea state; sea surface; Algorithm design and analysis; Fractals; Image analysis; Performance analysis; Petroleum; Remote sensing; Rough surfaces; Satellites; Sea surface; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
  • Print_ISBN
    0-7803-7536-X
  • Type

    conf

  • DOI
    10.1109/IGARSS.2002.1025793
  • Filename
    1025793