• DocumentCode
    2587704
  • Title

    Study about Salt Information of Salt Lake by Remote Sensing Technology

  • Author

    Li, Li

  • Author_Institution
    Center for Land & Resources, China Aero Geophys. Survey & Remote Sensing, Beijing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    19-20 Dec. 2010
  • Firstpage
    306
  • Lastpage
    310
  • Abstract
    Based on the principle of spectral responses of remote sensing, using multi-phases TM data and measured points as basic data, the main methods are correlation analysis on spectral data, regression analysis and fitting inversion in the study area of Zhabuye salt lake that lies in Tibet autonomous region. This paper had achieved distributions of the salt content in the lake, meanwhile, generated their contour maps reflecting salt content with method of dual inline encryption. By the method of principal component analysis, extracted salt information on the basis of 3-D salt index. Among those components, the first component is the one reflecting salt content. At last, the paper established salt content model for the salt lake, which is proved to be quadratic polynomial fitting. At last, inverse the salt content models by colors slice. Compare between inversion results and measured data on the aspects of salt contour map, it proved that inversion effect meet the distribution of measured date.
  • Keywords
    lakes; polynomials; principal component analysis; regression analysis; remote sensing; Tibet autonomous region; Zhabuye salt lake; fitting inversion; multiphase TM data; principal component analysis; quadratic polynomial fitting; regression analysis; remote sensing; spectral response; Correlation; Data mining; Geologic measurements; Lakes; Presses; Remote sensing; Sea measurements; Remote Sensing; Salt Lake; correlation analysis; information extraction; the principle component analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (WCSE), 2010 Second World Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9287-9
  • Type

    conf

  • DOI
    10.1109/WCSE.2010.19
  • Filename
    5718398