Characteristic Spectrum Linear Inversion Modeling to Extract the Mineral Information
WANG Fei1,2, LIN Qi-zhong1, WANG Qin-jun1，LI Shuai3
1. Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100012, China 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China 3. Indiana University, Indianapolis, IN 46202, USA
Abstract：The rapid identification of the minerals in the field is crucial in the remote sensing geology study and mineral exploration. The characteristic spectrum linear inversion modeling is able to obtain the mineral information quickly in the field study. However, the authors found that there was significant difference among the results of the model using the different kinds of spectra of the same sample. The present paper mainly studied the continuum based fast Fourier transform processing(CFFT) method and the characteristic spectrum linear inversion modeling(CSLM). On one hand, the authors obtained the optimal preferences of the CFFT method when applying it to rock samples: setting the CFFT low-pass frequency to 150 Hz. On the other hand, through the evaluation and study of the results of CSLM using different spectra, the authors found that the ASD spectra which were denoised in the CFFT method could provide better results when using them to extract the mineral information in the field.
王 菲1,2, 蔺启忠1, 王钦军1，李 帅3 . 应用特征光谱线性反演模型快速提取矿物的光谱预处理研究[J]. 光谱学与光谱分析, 2011, 31(05): 1366-1370.
WANG Fei1,2, LIN Qi-zhong1, WANG Qin-jun1，LI Shuai3 . Characteristic Spectrum Linear Inversion Modeling to Extract the Mineral Information. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(05): 1366-1370.
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