基于遥感视反射率图像的矿化信息识别及其应用

Discrimination of Mineralization Information Based on Apparent Reflectivity Image and Its Application

成矿作用过程中产生的矿化蚀变,在遥感图像上往往是一种非直接的弱相关信息。文章以川西西支沟地区为例,通过典型矿床地面波谱分析,并在视反射率图像模拟及其与典型矿床地面波谱反射率的相关分析基础上,对矿化蚀变信息进行反演识别研究。西支沟地区的研究表明,基于视反射率图像的矿化信息反演识别分析可增强遥感图像矿化信息,在多金属矿化信息识别方面有较理想的找矿预测效果。

This paper deals with the basic principles and technique of mineralization information discrimination based on apparent reflectivity image, and presents a case study carried out by the authors. Based on the study of the apparent reflectivity image and the ground spectra from Ag-polymetallic deposits in Xizhigou area, the authors transformed the TM apparent reflectivity image in the area into the ground-space correlation image with nine ground-space models established by means of a correlation study of the ground-space spectra. Through the analysis of the ground-space correlation image, some mineralization image anomalies in this area have been distinguished and detected. Some basic problems concerning the practical application of the discrimination-classification method for remote sensing have been discussed in the paper. The authors hold that the analysis of TM ground-space spectrum correlation is valuable in the prospecting and prognosis of Ag-poymetallic deposits.