基于遥感指数的岩性信息提取研究

Lithology Information Extraction Based on Remote Sensing Index

昆仑山中段地区布喀达坂峰自然环境恶劣,岩性分布比较复杂,利用遥感影像准确划分该区岩性地质单元具有重要的意义。Aster影像具备独特的矿物岩石遥感解译的能力,广泛应用于区分岩性地质单元。本文首先在对研究区Aster影像预处理的基础上,分析了不同岩性的光谱特征曲线,构建了不同的矿物遥感指数,提取了该区岩性信息。再通过已有的地质资料和野外验证,对布喀达坂峰进行岩性划分。研究结果表明,不同遥感指数的组合有助于矿物岩石及岩性地质单元的划分,提取结果准确可靠,可以为地质填图及勘探提供一定的参考价值。

The Bukadaban Peak in the middle section of the Kunlun Mountains has a harsh natural environment and complex lithology distribution.It is of great significance to use remote sensing images to accurately divide the lithology and geological units in this area.ASTER imagery has the unique ability of remote sensing interpretation for minerals and rocks,and is widely used to distinguish lithological geological units.Based on the preprocessing of the ASTER image in the study area,this paper analyzes the spectral characteristic curves of different lithologies,constructs different mineral remote sensing indexes,and extracts the lithology information for the area.Then,based on the existing geological data and field verification,the lithology of Bukadaban Peak is divided.The research results show that the combination of different remote sensing indices is helpful to the division of minerals,rocks and lithology-geological units,and the extraction results are accurate and reliable,which can provide certain reference value for geological mapping and exploration.