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REMOTE SENSING FOR LAND & RESOURCES    2012, Vol. 24 Issue (1) : 132-136     DOI: 10.6046/gtzyyg.2012.01.23
"The Results of Remote Sensing Application of National Mineral Resource Potential Assessment" Column |
The Extraction of Fault Structure and Wall Rock Alteration Remote Sensing Information in Ningxia
ZHANG Yong-ting1, ZHANG Xiao-dong2, LIU Zi-zeng1, ZHANG Yong-jie1, ZHANG Hui-juan1
1. Ningxia Remote Sensing Center, Yinchuan 750021, China;
2. Ningxia Geological Survey Institute, Yinchuan 750021, China
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Abstract  In order to evaluate mineral resources in Ningxia, the authors used ETM+ satellite remote sensing data to extract linear and circular structure information of Ningxia by means of manual visual interpretation and computerization. At the same time, information of iron and hydroxide radical anomalies was collected by the principal components analysis and spectral-angle mapper. In combination with regional geological structure conditions, the authors made an integrated analysis of remote sensing linear character, circular structure and distribution characteristics and anomaly information in Ningxia and its indicative significance for mineral resources. The results show that remote sensing linear structure is almost identical with regional structure distribution of Ningxia, and the remote sensing linear structure and anomaly information can be employed to act as the main forecast factors for mineral resource potential evaluation in Weining North Mountain and Helan Mountain. The identified prospecting targets have provided an ideal indicative reference for mineral exploration, and some targets has already been verified by exploration results.
Keywords shoreline      remote sensing imagery      change analysis      fractal      Jiuduansha Island     
:  TP 79  
Issue Date: 07 March 2012
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FENG Yong-jiu
LIU Dan
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FENG Yong-jiu,LIU Dan,HAN Zhen. The Extraction of Fault Structure and Wall Rock Alteration Remote Sensing Information in Ningxia[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(1): 132-136.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2012.01.23     OR     https://www.gtzyyg.com/EN/Y2012/V24/I1/132
[1] 赵英时.遥感应用分析原理与方法[M].北京:科学出版社,2003.
[2] 李红,朱谷昌,张远飞,等.矿化蚀变区典型地物光谱特征分析与空间结构研究——以内蒙古突泉县—扎鲁特旗成矿带为例[J].国土资源遥感,2010(1):89-96.
[3] 刁海,张达,狄永军,等.基于主成分分析和分形模型的ASTER蚀变异常信息提取[J].国土资源遥感,2011(2):75-81.
[4] 赵鹏大,陈建平.地质异常理论与遥感地质研究[J].大自然探索,1996(2):29-34.
[5] 胡波,朱谷昌,张远飞,等.空间U统计量法在遥感蚀变信息提取中的应用研究[J].国土资源遥感,2011(3):71-77.
[6] 龙晓君,何政伟,刘严松,等.西藏羌多地区遥感蚀变与构造信息提取及成矿预测[J].国土资源遥感,2010(2):63-69.
[7] 刘吉平,赵鹏大,胡光道.遥感影像地质异常分析及其应用[J].地质科技情报,1997(1):111-117.
[8] 卢映祥,陈德友,袁平.战略性矿产远景调查[M].北京:中国地质调查局,2007.
[9] 张玉君,杨建民,陈薇.ETM+(TM)蚀变遥感异常提取方法研究与应用——地质依据和波谱前提[J].国土资源遥感,2002(4):30-38.
[10] 张玉君,曾朝铭,陈薇.ETM+(TM)蚀变遥感异常提取方法研究与应用——方法选择和技术流程[J].国土资源遥感,2003(2):44-51.
[11] 杨金中,方洪宾,张玉君,等.中国西部重要成矿带遥感找矿异常提取的方法研究[J].国土资源遥感,2003(3):50-53.
[12] 何凯涛,甘甫平,王永江,等.高空间分辨率卫星遥感地质微构造及蚀变信息识别[J].国土资源遥感,2009(1):97-100.
[13] 王润生.遥感地质技术发展的战略思考[J].国土资源遥感,2008(1):1-5.
[14] 刘玉英,郝福江.遥感地质学[M].北京:地质出版社,2010.
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