• DocumentCode
    3563695
  • Title

    SAR image segmentation algorithms: Performance comparison and improvement proposals

  • Author

    Fombellida, Juan ; Melgar, Ignacio ; Gome, Jaime ; Andina, Diego

  • Author_Institution
    Sener Ing. y Sist.
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Several SAR image segmentation algorithms, also known as extended target detection algorithms are studied and the results are compared. The schemata obtained are evaluated using criteria based on the similarity with visual segmentation of the image, and the computational resources used in the process. Finally, based in the algorithms studied some supplementary techniques are proposed in order to improve the segmentation results or the computational cost.
  • Keywords
    image segmentation; object detection; radar imaging; synthetic aperture radar; target tracking; SAR image segmentation algorithms; extended target detection algorithms; synthetic aperture radar; Cost function; Image segmentation; Merging; Neural networks; Object detection; Pixel; Proposals; Speckle; Statistical distributions; Subspace constraints; Synthetic Aperture Radar; fuzzy ART; segmentation; speckle; statistic distribution; watershed; wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2008. WAC 2008. World
  • Print_ISBN
    978-1-889335-38-4
  • Electronic_ISBN
    978-1-889335-37-7
  • Type

    conf

  • Filename
    4699053