• DocumentCode
    2268841
  • Title

    Polarimetric speckle reduction by using multi-texture maximum likelihood method

  • Author

    Zou, Qi ; Pi, Yiming ; Liu, Guoqing

  • Author_Institution
    Dept. of Electron. Eng., Univeristy of Electron. Sci. & Technol. of China, Sichuan, China
  • Volume
    5
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2287
  • Abstract
    The reduction of speckle in SAR (synthetic aperture radar) image is the prime problem in SAR image processing. The authors propose a new approach in polarimetric SAR speckle reduction. They estimate simultaneously the texture parameters of multi-polarimetric channels by the method of maximum likelihood under the assumption of multi-texture. This approach preserves the polarimetric properties, reduces the couple between polarimetric channels. They also compare it with the PWF (polarimetric whitening filter)
  • Keywords
    geophysical signal processing; geophysical techniques; image texture; maximum entropy methods; radar imaging; radar polarimetry; remote sensing by radar; speckle; synthetic aperture radar; terrain mapping; SAR; geophysical measurement technique; image processing; image texture; land surface; maximum likelihood; multi-polarimetric channels; multi-texture; multi-texture maximum likelihood method; polarimetric speckle reduction; polarimetric whitening filter; radar polarimetry; radar remote sensing; speckle reduction; synthetic aperture radar; terrain mapping; Covariance matrix; Layout; Maximum likelihood detection; Maximum likelihood estimation; Polarization; Radar imaging; Radar polarimetry; Radar scattering; Speckle; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-6359-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.2000.858384
  • Filename
    858384