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作 者:李晓芃 陈建平[2] 王翔[2,3] LI Xiaopeng;CHEN Jianping;WANG Xiang(Geological Publishing House,Beijing 100083,China;School of Earth Sciences and Resources,China University of Geosciences(Beijing),Beijing 100083,China;Beijing Xinxing Huaan Intelligent Technology Co.,Ltd.,Beijing 100070,China)
机构地区:[1]地质出版社,北京100083 [2]中国地质大学(北京)地球科学与资源学院,北京100083 [3]北京新兴华安智慧科技有限公司,北京100070
出 处:《中国矿业》2018年第7期150-156,共7页China Mining Magazine
基 金:中国科学院前沿重点研究项目资助(编号:QYZDY-SSW-DQC028)
摘 要:波谱在可见光到红外范围对于月表主要矿物探测是敏感的,矿物的波谱特征主要取决于矿物的组分及其土壤的成熟度,月表的矿物及元素分布对于月球演化与成因有着至关重要的作用,用遥感手段分析月表矿物组分,借助统计学的方法反演矿物含量是十分有价值的。本文依据Change-1干涉成像光谱仪反射率影像,结合LSCC月表矿物样品,分析其波谱特征与矿物元素含量的相关性,采用基于改进的角度参数法与MNF统计方法对FeO、Al2O3全月正面分布进行研究。通过对比前人遥感影像及伽马射线谱仪数据填图的结果,其含量对于月海区域误差不大于0.6%,对于高地误差接近1%。Spectrum is sensitive in detecting primary minerals of the lunar surface between visible light and infrared light.Since spectral characteristics of minerals are decided by their composition as well as the maturity level of soiland because distribution of minerals and elements of the lunar surface plays a crucial role in the evolution of the moon,it is especially worthwhile to analyze the composition of minerals of the lunar surface by remote sensing and to inverse mineral content using statistical method.The correlation between the spectral characteristics of Chang e-1 interference imaging spectrometer(IIM)reflectance images and the mineral content of LSCC lunar surface mineral samples are anaylized,and distribution of FeO and Al2O3 across the lunar nearside is examined using the improved angle parameter method and MNF statistics approach.A comparison of the mapping results of the optical models of and other researchers on Clementine and the gamma ray spectrometer data reveals that the content error is within 0.6%for lunar mare areas and close to 1%for the highland areas.
关 键 词:嫦娥一号 干涉成像光谱仪 FEO AL2O3 MNF LSCC
分 类 号:TD751[矿业工程—矿井通风与安全]
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