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REMOTE SENSING FOR LAND & RESOURCES    1998, Vol. 10 Issue (3) : 73-77     DOI: 10.6046/gtzyyg.1998.03.17
Geological Construct |
APPLICATION OF TM IMAGE IN PREDICTING GOLD, COPPER AND POLYMETALLIC MINERALIZATION BELT IN THE MIDDLE-LOWER REACH OF YEERQIANGHE RIVER
Guo Hongzhou, Yang Qinghua
Center for Remote Sensing in Geology, Beijing 100083
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Abstract  

On the base of the plate tectonic theory, the middle-lower reach of Yeerqianghe River is prospect area for gold, copper and polymetallic mineralization. Because landform is very complex and transportation condition is seriously bad in this area, the study of exploration geology had not been carried out in detail. For this reason, we have analyzed mineralization condition on the base of TM image feature, extracted a lot of useful information which related to mineralization through processing for Landsat TM data and predicted gold, copper and polymetallic mineralization belt.

Keywords  RPC model      Initial value      Least square method     
Issue Date: 02 August 2011
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QIN Xu-Wen
TIAN Shu-Fang
HONG You-Tang
ZHANG Guo
ZHANG Yong
SUN Xiang-Min
Cite this article:   
QIN Xu-Wen,TIAN Shu-Fang,HONG You-Tang, et al. APPLICATION OF TM IMAGE IN PREDICTING GOLD, COPPER AND POLYMETALLIC MINERALIZATION BELT IN THE MIDDLE-LOWER REACH OF YEERQIANGHE RIVER[J]. REMOTE SENSING FOR LAND & RESOURCES, 1998, 10(3): 73-77.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.1998.03.17     OR     https://www.gtzyyg.com/EN/Y1998/V10/I3/73


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[1] QIN Xu-Wen, TIAN Shu-Fang, HONG You-Tang, ZHANG Guo. THE ALGORITHM FOR PARAMETERS
OF RPC MODEL WITHOUT INITIAL VALUE
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