当前,随着找矿难度的不断加大,勘查工作重点正在向占国土面积一半以上的各种覆盖区转移,深部找矿已成为国家重大战略需求之一,但高海拔、复杂艰险等"难进入"地区的找矿技术还不够成熟,急需发展高效、绿色和较大深度的航空地球物理勘查技术,以解决"难进入"地区的能源资源勘查问题.

Invisible fault identifying in loess area is a difficult problem in active fault study in northern China. Detailed stratigraphic division of loess area by the naked eye is very difficult due to the insignificant difference of the granularities and the colors, which would affect the identification of the obscured fault and paleo -seismic event. Spectral technique has been used for magnetic susceptibility estimation. Magnetic susceptibility (MS) has been considered to be a measure of the degree of pedogenic activity and excellent proxies for terrestrial climatic fluctuations. In this study,multiple linear regression was used to build MS estimation models based on the spectral features. A model was built and was applied to hyperspectral image. Test of datasets indicates that this model is very successful. The applying of this model to hyperspectral image shows that the intensity distribution of MS could be used for stratigraphic division.