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黔东南地区遥感构造研究与金矿的关系
引用本文:赵震海,况顺达,王成相.黔东南地区遥感构造研究与金矿的关系[J].中国矿业,2006,15(5):80-83,88.
作者姓名:赵震海  况顺达  王成相
作者单位:1. 中国地质大学·武汉,430074;贵州省国土资源厅·贵阳,550001
2. 中国地质大学·北京,100083;贵州省地质调查院·贵阳,550004
3. 贵州省地矿局117地质大队·贵阳,550005
摘    要:本文以TM多光谱遥感数据为数据源,利用MPH矿化弱信息定量化提取技术,在植被土被覆盖严重、地质条件复杂的黔东南地区2.86万m^2的范围内,进行金矿遥感矿化弱信息定量提取,提取出的遥感矿化弱信息带与已知金矿床(点)的吻合较好;对该区进行详细遥感构造解译的基础上,系统分析了该区遥感构造的特征及其与金矿的关系;综合利用各种遥感构造信息、遥感矿化弱信息,结合已有的物化探资料,建立了该地区的遥感找矿模型,圈定出5个金矿成矿远景区,并进一步确定了重点找矿靶区;经地面调查验证后表明,找矿效果良好。

关 键 词:遥感矿化弱信息  黔东南  遥感构造  线性构造  环形构造  遥感找矿模式  金矿
文章编号:1004-4051(2006)05-0080-04
收稿时间:2005-03-08
修稿时间:2005-03-08

RELATIONSHIP BETWEEN REMOTE SENSING STRUCTURE AND GOLD MINE IN SOUTHEAST GUIZHOU PROVINCE
Zhao Zhenhai,Kuang Shunda,Wang chengxiang.RELATIONSHIP BETWEEN REMOTE SENSING STRUCTURE AND GOLD MINE IN SOUTHEAST GUIZHOU PROVINCE[J].China Mining Magazine,2006,15(5):80-83,88.
Authors:Zhao Zhenhai  Kuang Shunda  Wang chengxiang
Abstract:This paper is based on multispectral remote sensing data, using MPH mineralization faint information quantificationally extracting technology. Gold mine remote sensing mineralization faint information is carried out quantificationally extracting in vegetation and land cover seriously and geology setting composite southeast Guizhou province about 2. 86 thousand square km, and the extracted remote sensing mineralization faint information zone is coincident with the known gold mineral deposit dot. Based on remote sensing geological interpretation in detail, the relationship between remote sensing geological characters and gold mine are analyzed systemically. Using all kinds of remote sensing structure information and remote sensing mineralization faint information synthetically, combining existed geophysical and geochemical exploration data, remote sensing finding mine model is built, five gold mine prospecting areas are delineted, furthermore significant finding mine target areas is confirmed. It has obtained good finding mine effect through survey validating in the field.
Keywords:Remote sensing mineralization faint information Southeast Guizhou province Remote sensing structure Lineal structure Circle structure Remote sensing finding mine model Gold mine
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