• DocumentCode
    2210753
  • Title

    Oil Spill Detection Analyses Based on Small Patch Mergence Algorithm of SAR Image

  • Author

    Liu Xiuguo ; Li Yongsheng ; Gao Wei ; Wang Hongping ; Xiao Lin

  • Author_Institution
    Fac. of Inf. Eng., China Univ. of Geosci., Wuhan, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    1352
  • Lastpage
    1355
  • Abstract
    Oil spill has a significant impact on the marine environment, and it damages marine organisms badly. It is very effective for monitoring the marine environment which is polluted by oil spill by SAR techniques. The oil patches can be extracted from SAR images effectively through the adaption threshold segmentation approach. However, this method will produce a large number of noise spots. And they will have a negative effect on the follow-up analysis. This paper summarizes a small patch merge algorithm in the applications of analyzing marine oil spill detection information. The small patches will be merged into the adjacent region if the pixel number of patch is less than the predefined threshold. The experimental results show that the method can effectively eliminate the spots.
  • Keywords
    image segmentation; marine pollution; oil pollution; synthetic aperture radar; SAR image; adaption threshold segmentation; marine environment; marine organisms; noise spots; oil spill detection; small patch mergence algorithm; Algorithm design and analysis; Data mining; Image analysis; Image segmentation; Information analysis; Monitoring; Oil pollution; Organisms; Petroleum; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.794
  • Filename
    5454647