• DocumentCode
    3406217
  • Title

    Oil spill detection from polarimetric SAR image

  • Author

    Wenguang, Wang ; Fei, Lu ; Peng, Wu ; Jun, Wang

  • Author_Institution
    Sch. of EIE, Beihang Univ., Beijing, China
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    832
  • Lastpage
    835
  • Abstract
    A new combined feature is proposed based on polarimetric features extraction. Moreover, a new oil spills detection method is developed based on the combined feature and max entropy segmentation. The application to NASA/JPL SIR-C data shows that the new combined feature and detection method are effective to oil spills detection.
  • Keywords
    feature extraction; radar imaging; synthetic aperture radar; max entropy segmentation; oil spill detection; polarimetric SAR image; polarimetric feature extraction; synthetic aperture radar; Clutter; Entropy; Feature extraction; Image segmentation; Petroleum; Remote sensing; Scattering; feature extraction; image segmentation; oil spill detection; polarimetric SAR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5655943
  • Filename
    5655943
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3406217