• DocumentCode
    245129
  • Title

    SAR image despeckling based on improved non-local means algorithm

  • Author

    Zhao HongYu ; Wang Quan ; Wu WeiWei ; Wang Qingping ; Yuan NaiChang

  • Author_Institution
    Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2014
  • fDate
    3-8 Aug. 2014
  • Firstpage
    844
  • Lastpage
    847
  • Abstract
    To efficiently preserve tiny details and sharpness information of synthetic aperture radar (SAR) images while clearly remove the speckles, an improved non-local means method is proposed. Firstly, aiming at the traditional patch-similarity measurement not precise using in SAR image, we define a new variable to obtain a more precise patch-similarity measurement results. Furthermore, the PDF mapping function using for calculating ratio distance is also modified to get the patch-similarity between pixels more accurate. The experimental results show that both the visual quality and evaluation index of the proposed method outperform the traditional three methods: enhance Lee filtering (ELF), the bilateral Filtering (BF) and the NL-means method.
  • Keywords
    radar imaging; synthetic aperture radar; PDF mapping function; SAR image despeckling; evaluation index; nonlocal means algorithm improvement; patch-similarity measurement; ratio distance; synthetic aperture radar images; visual quality; Filtering; Geophysical measurement techniques; Ground penetrating radar; Nickel; Noise reduction; Speckle; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetics in Advanced Applications (ICEAA), 2014 International Conference on
  • Conference_Location
    Palm Beach
  • Print_ISBN
    978-1-4799-7325-5
  • Type

    conf

  • DOI
    10.1109/ICEAA.2014.6903978
  • Filename
    6903978