• DocumentCode
    526970
  • Title

    The application of optimum partition method in extracting alteration information in taxkorgan region of the West Kunlun

  • Author

    Li-yan, Chen ; Yuan, Fang

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Huanggang Normal Univ., Huanggang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    17-18 July 2010
  • Firstpage
    68
  • Lastpage
    71
  • Abstract
    The study area was located in the southwest of Xinjiang, Taxkorgan area of West Kunlun Mountain. The metallogenic geological background and the ETM image characteristics were studied by remote sensing technology. According to reflectance characteristics of ferrous alteration in different bands, mineral alteration information was extracted quantitatively. The results showed that the optimum partition method was an effective way to extract mineral alteration information. The curve of sum of deviations squares tended to slow when the ETM data was segmented to 6 parts. So the six parts segmentation method was the optimum partition in the area. The first three parts of the segmentation showed strongest distribution of the ferrous alteration. The alteration information distribution was little but concentrated.
  • Keywords
    geophysical prospecting; minerals; remote sensing; topography (Earth); China; ETM data; ETM image; Taxkorgan area; West Kunlun Mountain; Xinjiang; alteration information distribution; deviations squares; ferrous alteration; metallogenic geological background; mineral alteration information; optimum partition method; remote sensing technology; segmentation method; Geographic Information Systems; Image segmentation; Iron; Minerals; Ferrous alteration; Optimum Partition Method; West Kunlun Mountain; component;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7387-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2010.5567280
  • Filename
    5567280