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
Link To Document :
بازگشت