• DocumentCode
    1392385
  • Title

    SAR image heterogeneity and speckle filtering

  • Author

    Chen, S.B. ; Liu, Jian Guo ; Wang, G.Y. ; Li, Qi

  • Author_Institution
    HUST State Key Lab. for Multi-spectral Inf. Process. Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    46
  • Issue
    1
  • fYear
    2010
  • Firstpage
    80
  • Lastpage
    82
  • Abstract
    The ratio of the arithmetic to the geometric mean, a general index to test synthetic aperture radar (SAR) image homogeneity, is applied to the speckle reducing algorithm. A novel filter, based on improved speckle reducing anisotropic diffusion, is designed to denoise the SAR image. Experiments validate the effectiveness of the proposed method.
  • Keywords
    arithmetic; filtering theory; radar imaging; speckle; synthetic aperture radar; SAR image heterogeneity; anisotropic diffusion; arithmetic mean; geometric mean; speckle filtering; synthetic aperture radar;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2010.0846
  • Filename
    5395583
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1392385