| 光谱学与光谱分析 |
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| A Method to Extract Content of Minerals Based on Measured Hyperspectral Data |
| WANG Ya-jun1,2,3, WANG Qin-jun1*, CHEN Yu1, HU Fang1,2, XU Ru1,2, LIN Qi-zhong1 |
| 1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China2. University of Chinese Academy of Sciences，Beijing 100049，China3. North China Power Engineering Co. Ltd. of China Power Engineering Consulting Group, Beijing 100120, China |
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Abstract To improve the accuracy of mineral content extraction by linear decomposition model, a method was established, which took rock spectra with wavelength from 350 to 2 500 nm as the data source, identified minerals based on spectral matching methods, applied Hapke model to transform spectral reflectance into single scattering albedo and resolved single scattering albedo to get mineral content. In this method, sectional noise filtering and regional mineral spectra library were added to improve the identifying accuracy. Based on the analysis on the fifth Baogutu rock body, compared with XRD results, accuracies of quartz, feldspar class and altered minerals identification were 75%, 100% and 92.2% separately. Accuracy of the content extraction of feldspar class, hornblende and altered minerals were 80.5%, 64%, 92.36% separately. This method added mineralogy symbiotic relationship into mineral identification to ensure the reliability, proposed the idea of sectional noise filtering to avoid the influence of filtering algorithm, applied the single scattering albedo to avoid the complex nonlinearly calculations to improve the accuracy theoretically. This method has a certain guiding significance for the work such as rapid analysis of alteration information.
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Received: 2013-06-25
Accepted: 2014-02-09
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Corresponding Authors:
WANG Qin-jun
E-mail: wangqi@radi.ac.cn
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[1] LIU Han-hu, YANG Wu-nian, YANG Rong-hao(刘汉湖, 杨武年, 杨容浩). Acta Petrologica Et Mineralogica(岩石矿物学杂志), 2013, 32(2): 213.
[2] WANG Run-sheng, YANG Su-ming(王润生，杨苏明). Remote Sensing for Land & Resources(国土资源遥感), 2007, 1: 1.
[3] WANG Run-sheng(王润生). Journal of Geo-Information Science(地球信息科学学报), 2009 11(3): 261.
[4] ZHANG Zong-gui, WANG Run-sheng(张宗贵，王润生). Earth Science Frontiers(地学前缘), 2003, 10(3): 437.
[5] WANG Ya-jun, LIN Qin-zhong, WANG Qi-jun(王亚军，蔺启忠，王钦军). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2012，32(8)：2065.
[6] Hapke B. Journal of Geophysical Rearch，1981，86：3039.
[7] Hapke B. Icarus，1984，59(1)：41.
[8] Hapke B. Icarus，1986，67(2)：264.
[9] Clark R N, Swayze G A, Wise R, et al. USGS Digital Spectral Library Splib06a: U. S. Geological Survey, Digital Data Series 231, http://speclab.cr.usgs.gov/spectral. lib06, 2007.
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