Volume 5 Number 2 (Feb. 2010)
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JSW 2010 Vol.5(2): 243-250 ISSN: 1796-217X
doi: 10.4304/jsw.5.2.243-250

Lithology Intelligent Analysis in Three Gorges Based on Remote Sensing Image

Xianmin Wang, Ruiqing Niu
Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China

Abstract—In the south area of China, there covers thick soil and flourish vegetation on the top of the rocks, so there is little research on lithology analysis by remote sensing in the south area, and there is also no mature methods on this aspect. Three Gorges are the south area which is thickly covered by soil and flourish vegetation and the lithology analysis is very difficult. Three Gorges possess the characters of complicated terrain, frequent geologic disasters and full-grown vegetation and soil, so it is very important to make lithology analysis in the area. In the paper we made analysis of lithology with remote sensing images focusing on the area of Three Gorges, adopted the idea of oriented-object, built three sorts of guideline sets of spectrum, texture and vegetation covering, made quantification of the guideline sets and based on the algorithm of concept grid mined the association rules of the lithology in the stratums of Three Gorges: Jia Second and Third Sections Jia Ling River Group T1j2 and T1j3, Ba First and Second Sections Ba Dong GroupT2b1 and T2b2, and Da Ye Group T1d.

Index Terms—data mining, remote sensing, lithology, knowledge discovery.

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Cite: Xianmin Wang, Ruiqing Niu, "Lithology Intelligent Analysis in Three Gorges Based on Remote Sensing Image," Journal of Software vol. 5, no. 2, pp. 243-250, 2010.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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