• DocumentCode
    1986300
  • Title

    Improving PWF Method of Despeckle in Polarimetric SAR Image by Fusion Based on Nonsubsampled Contourlet Transform

  • Author

    De-xiang, Zhang ; Xiao-pei, Wu ; Qing-wei, Gao ; Xiao-jing, Guo

  • Author_Institution
    Key Lab. Of Intell. Comput. & Signal, Process. of Anhui Univ., Hefei
  • Volume
    1
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    328
  • Lastpage
    331
  • Abstract
    A novel and efficient improving PWF method of speckle reduction in polarimetric SAR image by fusion based on nonsubsampled contourlet transform is proposed. First, the three complex elements (HH, HV, and VV) of the polarimetric scattering matrix were decorrelated to form a new elements matrix. Then we show that the sub-band decompositions of the three elements using nonsubsampled contourlet transform, and fusion factor is applied to the decomposed directional high-frequency coefficients to create new sub-band coefficients. Finally, we process and reconstruct multi-resolution contourlet coefficients according to the PWF method. Experimental results show that compared with PWF de-speckling algorithm, the proposed algorithm can achieve an excellent balance between suppresses speckle effectively and preserves image details, and the significant information of original image like textures and contour details is well maintained.
  • Keywords
    geophysical signal processing; image fusion; image texture; matrix algebra; radar imaging; speckle; synthetic aperture radar; transforms; PWF method; multiresolution contourlet coefficients; nonsubsampled contourlet transform; polarimetric SAR image; polarimetric scattering matrix; speckle reduction; Discrete transforms; Discrete wavelet transforms; Filter bank; Image edge detection; Image processing; Image texture analysis; Matrix decomposition; Noise reduction; Signal processing algorithms; Speckle; PWF; despeckling; fusion; nonsubsampled contourlet transform; polarimetric SAR image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3563-0
  • Type

    conf

  • DOI
    10.1109/ETTandGRS.2008.28
  • Filename
    5070163