| 光谱学与光谱分析 |
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| Quantitative Estimation of CaO Content in Surface Rocks Using Hyperspectral Thermal Infrared Emissivity |
| ZHANG Li-fu1, 2, ZHANG Xue-wen2, HUANG Zhao-qiang3,YANG Hang2,ZHANG Fei-zhou1* |
1. School of Earth and Space Sciences, Peking University, Beijing 100871, China
2. The State Key Laboratory of Remote Sensing Sciences, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China
3. Institute of Mineral Resources, China Metallurgic Geology Bureau, Beijing 100025, China |
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Abstract The objective of the present paper is to study the quantitative relationship between the CaO content and the thermal infrared emissivity spectra. The surface spectral emissivity of 23 solid rocks samples were measured in the field and the first derivative of the spectral emissivity was also calculated. Multiple linear regression (MLR), principal component analysis (PCR) and partial least squares regression (PLSR) were modeled and the regression results were compared. The results show that there is a good relationship between CaO content and thermal emissivity spectra features; emissivities become lower when CaO content increases in the 10.3～13 mm region; the first derivative spectra have a better predictive ability compared to the original emissivity spectra.
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Received: 2011-01-11
Accepted: 2011-05-22
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Corresponding Authors:
ZHANG Fei-zhou
E-mail: zhangfz@pku.edu.cn
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