基于PLS模型的高光谱遥感地质岩性成分反演分析

Inversion analysis of geological and lithologic components of hyperspectral remote sensing based on PLS model

以高光谱遥感数据为基础,采用偏最小二乘法(PLS)进行建模,对某地区出露玄武岩和花岗岩的岩性成分进行反演分析,结果表明:基于偏最小二乘法高光谱遥感地质岩性反演分析流程更加简便且精度较高,可为研究区地层岩性判别和矿产勘查提供借鉴。

Based on the hyperspectral remote sensing data,the PLS method was used to build model to carry out the inversion analysis for the lithologic components of the exposed basalt and granite in a certain area.Results showed that the process of hyperspectral remote sensing geological lithologic inversion analysis was more simplicity and higher accuracy based on the PLS method,which could provide the reference for the stratigraphic lithologic discrimination and the mineral exploration in the study area.