基于102F实测热红外光谱的富硅类岩石SiO_2含量定量反演

Quantitative inversion of SiO_2 contents in silicon rich rocks based on measured 102F thermal infrared spectra

铀多金属矿床的形成与硅化有着密切关系,石英脉也常作为重要的找矿标志,因此,快速识别硅化和行英脉等富硅类岩石(SiO_2>70%)对矿产勘查具有重要的指导意义。为实现岩石SiO_2含量的快速估算,基于102F实测热红外光谱和化学定量分析进行SiO_2含量定量反演,构建了3种反演模型。根据拟合优度最大法和进一步的实验验证,针对102F实测热红外光谱,确定了一种最优反演模型。研究结果为基于航空热红外影像快速识别富硅岩类岩石及其SiO_2含量定量估算提供了技术支撑,具有重要的应用价值。

Formation of uranium-polymetallic deposits are closely related to silicification, quartz vains arecommonly used as important indexes in mineral prospecting. Hence, the quick discrimination silicon rich rocks such as silication and quartz vains （SiO2〉70%） play an important guideline role in mineral prospecting. To estimate SiO2 contents in rocks quickly, we have established 3 kinds inverse models which can invert SiO2 contents, and chemically determined SiO2 contents with measured 102F thermal infrared spectra. According to the degree of and the further validation, the optimal model selected for the data retrieving from 102F spectrometer. The result provides a technical support for fast identification of silicon rich rocks and quantitatively estimation of SiO2 contents with aerial thermal infrared image.