• DocumentCode
    2062157
  • Title

    Space-frequency and space-scale representation to remove the speckle from homogeneous areas of radar image module

  • Author

    Rougé, Bernard

  • Author_Institution
    Div. of Image Process., CNES, Toulouse, France
  • fYear
    1993
  • fDate
    18-21 Aug 1993
  • Firstpage
    281
  • Abstract
    In order to remove the speckles from homogeneous areas of a radar image module, the author proposes to use the subband basis of the wavelet packet algorithm (Walsh packets decomposition). This decomposition permits a space-scale-frequency analysis well suited to this kind of signal that can be considered as noise depending on the signal (root mean square error (rms) of speckles is proportional to the signal). He uses as a reconstruction method the thresholding of wavelet packet coefficients. He shows some results with images yielded by ERS-1 satellite
  • Keywords
    electrical engineering computing; image reconstruction; remote sensing by radar; speckle; synthetic aperture radar; wavelet transforms; ERS-1 satellite; Walsh packets decomposition; homogeneous areas; noise; radar image module; reconstruction method; space frequency representation; space-scale representation; speckle; subband basis; thresholding; wavelet packet algorithm; Anisotropic magnetoresistance; Frequency; Nonlinear filters; Radar imaging; Radar signal processing; Spaceborne radar; Spatial resolution; Speckle; Synthetic aperture radar; Wavelet packets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
  • Conference_Location
    Tokyo
  • Print_ISBN
    0-7803-1240-6
  • Type

    conf

  • DOI
    10.1109/IGARSS.1993.322551
  • Filename
    322551