• DocumentCode
    2275558
  • Title

    Combining Savitzky-Golay filters and median filters for reducing speckle noise in SAR images

  • Author

    Chinrungrueng, Chedsada

  • Author_Institution
    Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok, Thailand
  • Volume
    1
  • fYear
    2003
  • fDate
    5-8 Oct. 2003
  • Firstpage
    690
  • Abstract
    This paper describes a new filter developed for reducing speckle noise in SAR images. The new filter, referred to as the Savitzky-Golay median hybrid filter, is a two-dimensional extension of the one-dimensional FIR-median hybrid filter. It operates by performing a series of two-dimensional polynomial least squares fitting, and defines its output as the median of the results obtained from such least squares fits. The polynomial least squares fitting performed in the new filter is efficiently implemented based on the simplified procedure developed in the Savitzky-Golay filter. The performance of the proposed filter is compared with that of the median filter, the Lee filter, and the Frost filter in reducing speckle noise of a synthetic image and of a real synthetic aperture radar (SAR) image.
  • Keywords
    least squares approximations; median filters; radar imaging; speckle; synthetic aperture radar; Frost filter; Lee filter; SAR images; Savitzky-Golay filters; one dimensional FIR median hybrid filter; speckle noise reduction; synthetic aperture radar images; synthetic image; two dimensional polynomial least squares fitting; Adaptive filters; Filtering; Finite impulse response filter; Least squares methods; Low pass filters; Noise reduction; Noise shaping; Polynomials; Speckle; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2003. IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7952-7
  • Type

    conf

  • DOI
    10.1109/ICSMC.2003.1243895
  • Filename
    1243895