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国土资源遥感  2012, Vol. 24 Issue (3): 111-115    DOI: 10.6046/gtzyyg.2012.03.20
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
白云母矿物成分与光谱特征的关系研究
梁树能1,2, 甘甫平1,2, 闫柏锟1,2, 王润生1, 杨苏明1, 张志军3
1. 中国国土资源航空物探遥感中心, 北京 100083;
2. 中国国土资源航空物探遥感中心对地 观测技术工程实验室, 北京 100083;
3. 中国矿业大学(北京), 北京 100083
Relationship Between Composition and Spectral Feature of Muscovite
LIANG Shu-neng1,2, GAN Fu-ping1,2, YAN Bo-kun1,2, WANG Run-sheng1, YANG Su-ming1, ZHANG Zhi-jun3
1. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China;
2. Laboratory of the Earth Observation Technology of AGRS, Beijing 100083, China;
3. China University of Mining & Technology, Beijing 100083, China
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摘要 发掘岩石矿物成分与其光谱特征间的内在关系,为应用高光谱遥感技术探测矿物微观信息提供依据。在岩矿鉴定的基础上,利用TSG(地质光谱专家)软件,分析了岩石样品中白云母矿物的光谱特征; 利用电子探针对白云母矿物进行了微区化学成分研究。在此基础上,统计分析了白云母的光谱变异特征。研究表明: 白云母矿物的诊断吸收特征波长位置随矿物中Al离子数的减少而呈现出向长波方向移动的趋势。
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赵海涛
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关键词 定位定向系统(POS)视准轴偏差光束法平差检校直接地理定位    
Abstract:The aim of this study is the exploration of the intrinsic relationship between chemical composition and spectral features of rocks and minerals so as to detect mineral micro-information based on the hyperspectral remote sensing technology. Based on rock and mineral microscopic identification, the authors analyzed spectral features of muscovite from the rock sample by using TSG geological spectrum analysis software,and studied the chemical composition of muscovite by means of electron microprobe analysis. On such a basis, spectral variational features of muscovite were statistically analyzed. The results indicate that the diagnostic spectral wavelength position of muscovite moves towards the long wavelength with the reduction of Al cations.
Key wordsposition and orientation system(POS)    boresight misalignment    bundle adjustment    calibration    direct georeferencing(DG)
收稿日期: 2011-10-12      出版日期: 2012-08-20
:  TP79  
基金资助:中国国土资源航空物探遥感中心青年创新基金课题(编号: 2010YFL10)资助。
引用本文:   
梁树能, 甘甫平, 闫柏锟, 王润生, 杨苏明, 张志军. 白云母矿物成分与光谱特征的关系研究[J]. 国土资源遥感, 2012, 24(3): 111-115.
LIANG Shu-neng, GAN Fu-ping, YAN Bo-kun, WANG Run-sheng, YANG Su-ming, ZHANG Zhi-jun. Relationship Between Composition and Spectral Feature of Muscovite. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(3): 111-115.
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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2012.03.20      或      https://www.gtzyyg.com/CN/Y2012/V24/I3/111
[1] 潘兆橹,赵爱醒,潘铁虹.结晶学及矿物学[M].北京:地质出版社,2005. Pan Z L,Zhao A X,Pan T H.Crystallography and Mineralogy[M].Beijing:Geological Publishing House,2005(in Chinese).
[2] Lucey P G.Model Near-infrared Optical Constants of Olivine and Pyroxene as a Function of Iron Content[J].Journal of Geophysical Research,1998,103(E1):1703-1713.
[3] Clark R N,King T V V,Klejwa M,et al.High Spectral Resolution Reflectance Spectroscopy of Minerals[J].Journal of Geophysical Research,1990,95(8B):12653-12680.
[4] Wald A E,Salisbury J W.Thermal Infrared Directional Emissivity of Powdered Quartz[J].Journal of Geophysical Research,1995,100(B12):24665-24675.
[5] 闫柏琨,陈伟涛,王润生,等.基于Hapke模型的矿物红外发射光谱随粒度与发射角的变异规律[J].地球科学:中国地质大学学报,2009,34(6):946-954. Yan B K,Chen W T,Wang R S,et al.Variation Law of Mineral Emissivity Spectra with Mineral Granularity and Emission Angle Based on Hapke Model[J].Earth Science:Journal of China University of Geosciences,2009,43(6):946-954(in Chinese with English Abstract).
[6] Denevi B W,Lucey P G,Hochberg E J,et al.Near-infrared Optical Constants of Pyroxene as a Function of Iron and Calcium Content[J].Journal of Geophysical Research,2007,112(E05009):1-13.
[7] Lane M D.Midinfared Optical Constants of Calcite and Their Relationship to Partical Size Effects in Thermal Emission Spectra of Granular Calcite[J].Journal of Geophysical Research,1999,104(E6):14099-14108.
[8] Yang K,Lian C,Huntington J F,et al.Infrared Spectral Reflectance Characterization of the Hydrothermal Alteration at the Tuwu Cu-Au Deposit,Xinjiang,China[J].Mineralium Deposita,2005,40(3):324-336.
[9] CSIRO.Ask"The Spectral Geologist"-TSGTM[EB/OL].http://www.csiro.au/resources/TSG.pdf,2010-11-01.
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