• DocumentCode
    2229694
  • Title

    Remote sensing information of mineralizing alteration extraction methods

  • Author

    Chen, Li ; Qin, Qiming ; Chen, Chao ; Jiang, Hongbo

  • Author_Institution
    Inst. of Remote Sensing & Geographic Inf. Syst., Peking Univ., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5947
  • Lastpage
    5950
  • Abstract
    Remote sensing technology is considered a fast and effective method to prospect ore. Now, this method is used in Gejiu tin deposit of YunNan in order to extract more accurate mineralization abnormal information. In this study, first through the band math method and principal component analysis method, the mineralization alternation can be extracted in ETM data. Then using ASTER data the limonitization, the chloritization and the dolomitization are extracted by the spectral angle method. At last, the trace elements of the vegetation are statistically analyzed and the vegetation mineralization alteration information is extracted by two different methods in ASTER data. The result shows that the alternation information distributions are consistent in the east-south study area and match with the field exploration. Consequently the extracted results are effective.
  • Keywords
    geophysical image processing; geophysical techniques; minerals; remote sensing; ASTER data; ETM data; Gejiu tin deposit; YunNan; band math method; chloritization; dolomitization; limonitization; mineralization abnormal information; mineralizing alteration extraction methods; principal component analysis method; remote sensing information; remote sensing technology; spectral angle method; vegetation mineralization alteration information; Data mining; Mineralization; Principal component analysis; Remote sensing; Rocks; Vegetation mapping; Remote sensing; information extraction; mineralizing alternation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352254
  • Filename
    6352254