• DocumentCode
    2139135
  • Title

    Joint despeckling and edge detection of SAR images based on the Mumford-Shah functional

  • Author

    Belfiore, S. ; Scopigno, R. ; Grangetto, M. ; Magli, E.

  • Author_Institution
    Ist. Superiore Mario Boella, Torino
  • Volume
    6
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    3915
  • Abstract
    In this paper, we propose a joint despeckling and edge detection algorithm based on the Mumford-Shah functional, which accomplishes the image filtering and segmentation as a result of an analytical variational problem. This approach turns out to be well suited to jointly despeckle and segment SAR image data; the experimental results demonstrate that the proposed technique yields high quality despeckling without impairing critical image features and with the additional advantage to provide a detailed edge map
  • Keywords
    edge detection; filtering theory; geophysical signal processing; geophysical techniques; image segmentation; remote sensing by radar; speckle; synthetic aperture radar; variational techniques; Mumford-Shah functional; SAR images; analytical variational problem; edge detection; geophysical signal processing; image despeckling; image features; image filtering; image segmentation; Algorithm design and analysis; Filtering; Image analysis; Image edge detection; Image segmentation; Noise reduction; Optical scattering; Radar scattering; Speckle; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1369982
  • Filename
    1369982