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基于ASTER遥感影像的西昆仑岩性信息提取方法研究
引用本文:余健,张志,李闵佳,陈腾,何文熹.基于ASTER遥感影像的西昆仑岩性信息提取方法研究[J].国土资源遥感,2012(1):22-27.
作者姓名:余健  张志  李闵佳  陈腾  何文熹
作者单位:中国地质大学(武汉)地球科学学院;中国地质大学(武汉)计算机学院
基金项目:中国地质调查局“西昆仑成矿带矿产资源遥感地质调查”项目(编号:1212011120889)资助
摘    要:基于西昆仑西段布伦口地区各岩性段内岩石样品的矿物组成及其光谱特征分析,提取代表各岩性单元的岩性端元波谱曲线;对研究区内ASTER可见光(VNIR)和短波红外(SWIR)数据进行匹配滤波处理,成功提取了研究区内9种重要的岩性单元(包括古元古界布仑阔勒群的黑云石英岩、黑云斜长片麻岩、黑云石英片岩和黑云角闪斜长片麻岩,志留系温泉沟群的绿泥石绢云母板岩、黑色千枚岩和绢云母石英片岩,以及石英闪长岩和英云闪长岩)。经已知地质资料和野外查证资料分析证明,用上述方法提取岩性信息的结果可靠,能为岩性填图及矿床勘查工作提供参考。

关 键 词:ASTER  西昆仑  岩性  匹配滤波

The Methodology of Lithologic Information Extraction by Using ASTER Data in West Kunlun Mountains
YU Jian,ZHANG Zhi,LI Min-jia,CHEN Teng,HE Wen-xi.The Methodology of Lithologic Information Extraction by Using ASTER Data in West Kunlun Mountains[J].Remote Sensing for Land & Resources,2012(1):22-27.
Authors:YU Jian  ZHANG Zhi  LI Min-jia  CHEN Teng  HE Wen-xi
Institution:1(1.The Faculty of Earth Science,China University of Geosciences,Wuhan 430074,China; 2.The Faculty of Computer,China University of Geosciences,Wuhan 430074,China)
Abstract:Based on an analysis of mineral composition and spectral characteristics of samples collected in Bulunkou area of West Kunlun Mountains,the authors extracted the end-member spectra of lithologic units by using ASTER data of the study area,and the ASTER VNIR and SWIR data of the study area were processed by matched filtering method,and then nine important litholigic units in the study area were extracted.These lithologic units include biotite quartzite,biotite plagioclase gneiss,biotite quartz schist and biotite hornblende plagioclase gneiss which belong to Palaeoproterozoic Bulunkuole Group(Pt1) and chlorite sericite slate,black phyllite and sericite quartz schist that belong to Silurian Wenquangou Group(SW) as well as quartz diorite and tonalite.An analysis of geological data available and field survey results demonstrate that the method adopted by the authors can extract credible information and supply references to lithologic mapping and mineral exploration.
Keywords:ASTER  west Kunlun mountain  lithology  matched filtering
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