• DocumentCode
    525557
  • Title

    Infrared satellite image segmentation

  • Author

    Brad, Remus ; Popovici, Zeno O.

  • Author_Institution
    Comput. Sci. & Autom. Dept., Lucian Blaga Univ. of Sibiu, Sibiu, Romania
  • fYear
    2010
  • fDate
    24-26 June 2010
  • Firstpage
    100
  • Lastpage
    105
  • Abstract
    Satellite images are difficult to segment due to the complexity of phenomena captured within. Based on a rarely employed technique presented by Ahuja, we proposed a method for satellite infrared image segmentation. The previously introduced transform is extracting a pixel cohesion force field based on their similarities. We have found that the forces convergence points forms median lines of uniform regions. Combining the features provided by the transform with an adapted segmentation method, a successful region extraction is performed.
  • Keywords
    Artificial satellites; Automation; Clouds; Computer science; Image segmentation; Infrared detectors; Infrared imaging; Karhunen-Loeve transforms; Optical fiber communication; Pixel; Ahuja transform; cloud detection; infrared satellite image; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Roedunet International Conference (RoEduNet), 2010 9th
  • Conference_Location
    Sibiu, Romania
  • ISSN
    2068-1038
  • Print_ISBN
    978-1-4244-7335-9
  • Electronic_ISBN
    2068-1038
  • Type

    conf

  • Filename
    5541602