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REMOTE SENSING FOR LAND & RESOURCES    2010, Vol. 22 Issue (2) : 63-67     DOI: 10.6046/gtzyyg.2010.02.14
Technology Application |
Extraction of the Remote Sensing Alteration and Structure Information
and Metallogenic Prognosis in Qiangduo Area,Tibet
LONG Xiao-jun 1,2, HE Zheng-wei 1,2,3, LIU Yan-song 1,2, XIA Fu-rui 1,2
XUE Dong-jian 1,2, LI Zhe 1,2
1. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chenndu University of Technology, Chengdu 610059, China; 2. College of Earth Science, Chengdu University of Technology, Chengdu   610059, China; 3. Beijing Municipal Key Laboratory for Resource Environment and Geo-Graphic Information System, Capital Normal University,  Beijing 100037, China
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Abstract  

 Based on an analysis of the spectral characteristics of surface objects and using ETM remote sensing image,the authors utilized PCI software and employed the mask technique to remove various kinds of disturbance information such as white mud ground,water body, shadow and vegetation. With principal component analysis, band ratio and threshold segmentation techniques, the information of iron staining and hydroxyl alteration in Qangdoi area of western Tibet was extracted. In accordance with the obvious anomalous areas, the reference spectra were built up. The method of spectral-angle mapper was used to remove the pseudo-anomaly  information. In conjunction with the characteristics of linear structure in the study area, the metallogenic prognosis was carried out and,as a result, the prospect areas were delineated. The method for metallogenic prognosis proposed in this paper is fairly flexible and effective,and can provide a reference and effective way for speeding up the geological exploration work in future.

Keywords Snow cover      Climatic characteristic      Persistence     
Issue Date: 29 June 2010
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LONG Xiao-Jun, HE Zheng-Wei, LIU Yan-Song, XIA Fu-Rui, XUE Dong-Jian, LI Zhe. Extraction of the Remote Sensing Alteration and Structure Information
and Metallogenic Prognosis in Qiangduo Area,Tibet[J]. REMOTE SENSING FOR LAND & RESOURCES,2010, 22(2): 63-67.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.02.14     OR     https://www.gtzyyg.com/EN/Y2010/V22/I2/63
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