• DocumentCode
    2154295
  • Title

    Research on oil pollution image classification of airborne hyperspectral data based on spectral angle analysis method

  • Author

    Zhiguo, Bu ; Zijiang, Yu ; Suxia, Huo

  • Author_Institution
    North China Sea Environment Monitoring Center, SOA, Qingdao, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    3946
  • Lastpage
    3949
  • Abstract
    This paper first analyzed the characteristics of relevant image classification methods based on the high spectral characteristics of the acquired airborne high spectral data, and then obtained the better airborne oil pollution classification image results of hyperspectral data through the research and using of spectral angle analysis method of image classification, which verified the feasibility of oil pollution discovery and monitoring using airborne hyperspectral data.
  • Keywords
    Hyperspectral imaging; Image classification; Oil pollution; Petroleum; Pixel; hyperspectral data; image classfication; oil seawater; spectral angle analysis method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5691498
  • Filename
    5691498
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2154295