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高光谱热红外遥感技术在地质找矿中的应用
投稿时间:2017-07-22  修订日期:2018-08-12  点此下载全文
引用本文:刘德长,邱骏挺,闫柏琨,田丰.2018.高光谱热红外遥感技术在地质找矿中的应用[J].地质论评,64(5):1190-1200
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作者单位E-mail
刘德长 1)核工业北京地质研究院遥感信息与图像分析技术国家级重点实验室北京100029 liudc@yeah.net 
邱骏挺 1)核工业北京地质研究院遥感信息与图像分析技术国家级重点实验室北京100029  
闫柏琨 2)中国国土资源航空物探遥感中心北京100083  
田丰 1)核工业北京地质研究院遥感信息与图像分析技术国家级重点实验室北京100029  
基金项目:本文为中国地质调查局航空物探遥感中心工作项目(编号:1212011220277)和HNKF“松辽盆地砂岩型铀矿综合预测评价技术研究”的成果。
中文摘要:高光谱热红外遥感技术用于地质找矿,目前国内外都在探索,由于热红外发射光谱的混合为线性混合,利用线性解混技术可以对硅酸盐类矿物,如石英进行识别和提取。这是其优于可见光—近红外和短波红外之处。大多数金属矿床与石英脉—硅化带的关系密切。另外,石英脉与硅化带的控矿作用又有差异。因此,利用高光谱遥感技术提取石英脉—硅化带,并将二者区分开来,对于金属矿的找矿具有极其重要的意义。航空高光谱热红外遥感技术由于可以获取高空间分辨率(亚米级)的高光谱热红外数据,可以进行热红外矿物精细填图,提取规模小的石英脉或硅化带,从而更具地质找矿价值。本文利用核工业北京地质研究院遥感信息与图像分析技术国家级重点实验室的航空热红外成像系统(TASI),在甘肃北山柳园—方山口和新疆雪米斯坦地区获取了高空间分辨率的高光谱热红外遥感数据,从开展实用化热红外大气校正与光谱重建技术入手,探索了石英脉—硅化带提取与区分,解决了地质找矿中石英脉—硅化带的提取与区分这一具普遍性的关键技术难题,并通过示范应用,取得了明显的找矿效果。
中文关键词:高光谱遥感  热红外  石英脉—硅化带  地质找矿
 
Application of Thermal Inferred Hyperspectral Remote Sensing in Ore Exploration
NameInstitution
LIU Dechang1) National Key Laboratory of Science and Technology on Remote Sensing Information and Image Analysis, Beijing Research Institute of Uranium Geology, Beijing, 100029
QIU Junting1) National Key Laboratory of Science and Technology on Remote Sensing Information and Image Analysis, Beijing Research Institute of Uranium Geology, Beijing, 100029
YAN Bokun2) China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing, 100083
TIAN Feng1) National Key Laboratory of Science and Technology on Remote Sensing Information and Image Analysis, Beijing Research Institute of Uranium Geology, Beijing, 100029
Abstract:The application of thermal inferred hyperspectral remote sensing in ore exploration is a hot topic worldwide. In contrast to the visible and near inferred spectrum, thermal inferred spectrum of mixed materials can be easily unmixed using linear unmixed theory, which permits the content of silicate mineral to be qualitatively estimated. Since lots of ore deposits are spatially associated with quartz and silicate veins, the recognition of these two kinds of veins contribute to ore exploration work. The airborne thermal inferred hyperspectral remote sensing images due to its high spatial and spectral resolutions, can recognize quartz and silicate veins in small scales, thus benefits geological ore exploration. In this study, we acquired the thermal inferred hyperspectral remote sensing data covering the Liuyuan—Fangshankou and Xiemistian areas based on the TASI imager of National Key Laboratory of Science and Technology on Remote Sensing Information and Image Analysis, in an attempt to identify quartz and silicate veins. An application example was used to evaluate the capability of thermal inferred hyperspectral remote sensing in ore prospecting.
keywords:Hyperspectral remote sensing  thermal inferred  quartz—silicate vein  ore exploration
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