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顾及矿物粒径的月表虹湾地区矿物填图 被引量:2

Lunar mineral mapping in Sinus Iridum in consideration of mineral grain sizes
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摘要 月表矿物丰度及其分布的研究对月球资源利用有重要的指导意义。Hapke模型是月表研究最常用的一种模型,粒径是该模型计算时必须明确的参数之一。为了研究月表5种主要矿物(单斜辉石、斜方辉石、斜长石、橄榄石和钛铁矿)的丰度及分布情况,在顾及矿物粒径对其光谱影响的情况下,利用Relab光谱库数据和Hapke辐射传输模型,采用全约束线性分解的方法,建立了5种矿物的反演模型,得到上述5种矿物的模型相关性分别为0.98,0.98,0.83,0.91和0.50,并用Apollo采样点数据对模型精度进行了验证,最后将模型应用到月表虹湾地区的印度探月卫星月球矿物制图仪(moon mineralogy mapper,M^3)高光谱影像上,得到了虹湾地区5种矿物的丰度分布图。结果表明,顾及矿物粒径的全约束线性分解方法可用于月表矿物分布特征研究。 The distribution of the mineral abundances on lunar surface has a significant meaning. Hapke model is one of the most usually used methods for studying lunar surface,and particle size is one of the parameters that must be clearly understood in doing model calculation. Nevertheless,the research on grain size remains very insufficient.To study the distribution of the abundances of five main minerals, i. e., clinopyroxene, orthopyroxene,plagioclase,olivine and ilmenite,the authors considered the influence of grain size and built inverse models of these five minerals by using fully constrained linear-unmixing method with Relab data based on Hapke radioative transfer model,with the correlation coefficients of these five minerals being 0. 98,0. 98,0. 83,0. 91 and 0. 50.Furthermore,the accuracy of this models was verified by using data of Apollo sampling points. At last,the lunar minerals abundance distribution maps of Sinus Iridum were compiled by applying the models to the M^3 hyperspectral data,which shows that the fully constrained linear-unmixing method in consideration of mineral grain sizes can be used to study lunar mineral abundance distribution.
作者 董晓莹 林伟华 刘福江 张琪 常远 DONG Xiaoying;LIN Weihua;LIU Fujiang;ZHANG Qi;CHANG Yuan(Department of Information Engineering,China University of Geosciences(Wuhan),Wuhan 430074,China;Jilin Provincial Communication Planning and Design Institute,Changchun 130021,China)
出处 《国土资源遥感》 CSCD 北大核心 2018年第2期147-153,共7页 Remote Sensing for Land & Resources
基金 湖北省2014年面上自然科学基金项目"基于主动学习的遥感大训练样本选择优化"(编号:2014CFB911) 国家"十二五""863"项目"大规模空间数据融合分析关键技术与应用服务系统"(编号:2014AA121401)和"大规模空间数据挖掘关键技术研究"(编号:2014AA123001)共同资助
关键词 虹湾 矿物粒径 全约束线性分解 M^3 Sinus Iridum mineral grain size full constrained linear- unmixing M^3
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