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REMOTE SENSING FOR LAND & RESOURCES    2015, Vol. 27 Issue (4) : 102-108     DOI: 10.6046/gtzyyg.2015.04.16
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Remote sensing geological interpretation and uranium prospecting perspective analysis of Shengyuan volcanic basin in Jiangxi Province
DONG Lina1, ZHANG Wei1,2, WANG Xue3, CHEN Ling1, YANG Jinzhong1, MO Zifen4
1. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China;
2. The Beidou Aerospace Science and Technology Group, Beijing 100070, China;
3. School of Earth Sciences and Resources, China University of Geosciences(Beijing), Beijing 100083, China;
4. The Nuclear Industry Geological Survey in Jiangxi Province 265 Brigade, Yingtan 335000, China
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Abstract  Remote sensing geological interpretation and anomaly information extraction constitute one of the important research fields of remote sensing geology. Based on ALOS, SPOT5, ETM+ and other multi-source remote sensing data, and combined with digital elevation model(DEM), the authors carried out remote sensing geological interpretation, remote sensing abnormal information extraction and selection for Shengyuan volcanic basin in Jiangxi Province, with much attention paid to the extraction of uranium and polymetallic mineralization information, such as strata, fracture, volcanic edifice and alteration information. In combination with the available geological data, the comprehensive analysis on ArcGIS platform was conducted so as to understand ore-forming geological conditions and make prospecting prediction. The results achieved by the authors can provide basic data and reference for local mineral exploration and resource evaluation.
Keywords road centerline extraction      geodesic distance      Dijkstra algorithm      probabilistic boosting tree     
:  TP79  
Issue Date: 23 July 2015
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ZHOU Shaoguang
XIANG Jing
QIU Wei
SUN Jinyan
FAN Li
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ZHOU Shaoguang,XIANG Jing,QIU Wei, et al. Remote sensing geological interpretation and uranium prospecting perspective analysis of Shengyuan volcanic basin in Jiangxi Province[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(4): 102-108.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2015.04.16     OR     https://www.gtzyyg.com/EN/Y2015/V27/I4/102
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