Extraction of altered minerals from Aster remote sensing data in Gongchangling iron deposit of Liaoning, China

作     者：LUAN Yiming HE Jinxin DONG Yongsheng JIANG Tian XIAO Zhiqiang LUAN Yiming;HE Jinxin;DONG Yongsheng;JIANG Tian;XIAO Zhiqiang

作者机构：College of Earth SciencesJilin UniversityChangchun 130061China 

出 版 物：《Global Geology》 (世界地质（英文版）)

年 卷 期：2022年第25卷第1期

页      面：16-25页

学科分类：081801[工学-矿产普查与勘探] 08[工学] 0818[工学-地质资源与地质工程] 

基　　金：Supported by projects of Institute of Geology,Chinese Academy of Geological Sciences(No.DD20160121) the National Key Research and Development Program of China(No.2020YFA0714103) 

主　　题：multispectral remote sensing Aster data principal component analysis color synthesis Gongchangling iron deposit 

摘      要：The precision of Aster data is higher than that of Landsat series of multispectral remote sensing data,which can more accurately reveal the distribution of altered *** plays an important role in prospecting,but it is rarely used in areas with complex terrain and high vegetation *** on this purpose,this study used Aster remote sensing data,and took Gongchangling iron deposit as a case *** combined the mineral spectrum theory and the basic geologic data of the study area,using the model of principal component analysis(PCA)and color synthesis to extract abnormal altered *** results show that the distribution of identified anomalies is basically consistent with the existing geological data in this study area,which provides a reliable reference for the mineral resources ex-ploration and delineation of mining areas.