• DocumentCode
    717978
  • Title

    A multi-phase clustering method for PolSAR image segmentation

  • Author

    Akbarizadeh, Gholamreza ; Rahmani, Masoumeh

  • Author_Institution
    Dept. of Electr. Eng., Shahid Chamran Univ., Ahvaz, Iran
  • fYear
    2015
  • fDate
    10-14 May 2015
  • Firstpage
    319
  • Lastpage
    322
  • Abstract
    In this paper, a new multi-phase clustering method is proposed for PolSAR image segmentation. In this method, the PolSAR image is first segmented with mean-shift method in color space. Then, a texture feature vector for each pixel of the image is formed. Then, a new spectral clustering method is used to combine previous steps. The results show that the proposed method is effective in PolSAR image segmentation.
  • Keywords
    feature extraction; image colour analysis; image segmentation; image texture; pattern clustering; radar imaging; radar polarimetry; spectral analysis; synthetic aperture radar; PolSAR image segmentation; color space; mean-shift method; multiphase spectral clustering method; texture feature vector; Conferences; Decision support systems; Electrical engineering; Erbium; Oceans; Remote sensing; PolSAR image; spectral clustering; texture feature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2015 23rd Iranian Conference on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4799-1971-0
  • Type

    conf

  • DOI
    10.1109/IranianCEE.2015.7146232
  • Filename
    7146232
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=717978