Inversion Of Sio2 Content In Surface Rock By Thermaln A Ed Remote Sensing

Changbao Yang,Mengyao Zhu, Manting Gao, Qin Zhang

2019 IEEE 4TH INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING (ICSIP 2019)(2019)

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摘要
The content of SiO2 in rocks is an important indicator of magmatic rock classification, and quartz vein is the main indicator of field prospecting. In this paper, 60 rock samples from USGS (U.S. Geological Survey), JPL (Jet Propulsion Laboratory) and MU (Johns Hopkins University) are used to resample the thermal infrared hand to the ASTER thermal infrared hand to study the emissivity characteristics relationship with SiO2 content in the thermal infrared band (8-15 m). Correlation analysis shows that the maximum negative relationship between the Si02 content and the logarithmic transformation In(b13/1)12) spectrum of the ASTER hand is -0.873, and the maximum positive correlation coefficient between SiO2 content and logarithmic transformation In(b13)/In(b12) of ASTER band is 0.793, which indicates that the correlation between SiO2 content and ASTER thermal infrared hand emission spectrum is better. Five regression equations were established by multivariate stepwise regression method and partial least squares regression method. The inversion of SiO2 content in surface rocks in Lin xi area of Inner Mongolia was carried out by ASTER thermal infrared band. This study has important reference significance for the application of thermal infrared remote sensing to extract SiO(2)content in surface rocks and to divide lithology and prospecting.
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关键词
thermal infrared spectroscopy, ASTER, SiO2 content, Multiple regression analysis
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