摘要
本文以Aster影像为信息源,通过分析Fe离子、Al-OH基团、Mg-OH基团等对典型矿物的影像波谱特征,综合采用主成分分析(PCA),对澳洲西部某矿区开展了矿化蚀变信息提取,信息提取成果与现场反馈结果情况相吻合,区内分布着大量的区域变质成因的矿物异常,本方法验证利用遥感蚀变矿物信息提取技术指导地质找矿是有效的、可行的,这对辅助成矿预测靶区圈定、减少野外工作量具有重要意义。
In this paper,ASTER remote sensing image is used as the data source.By analyzing the image spectrum characteristics of typical minerals such as Fe ion,Al-OH group and Mg-OH group,Principal Component Analysis(PCA)is used to carry out a mining area in western Australia.The mineralization alteration information is extracted.The results show that the extracted information is consistent with the actual situation.There are a large number of mineral anomalies in the regional metamorphism,which proves that the“disturbance anomaly principal component thresholding technique”is effective and feasible.It proves the scientificity and feasibility of using geo-sensing altered mineral information extraction technology to serve geological prospecting work,which is of great significance for more accurately delineating the target area and reducing the prospecting workload.
作者
赵仕宝
蔡进
ZHAO Shi-bao;CAI Jin(Chongqing vocational institute of engineering school,school of Geological surveying and mapping engineering,Chongqing,402260,China;Chongqing Institute of Surveying and Mapping,NASG,Chongqing,401120,China)
出处
《世界有色金属》
2020年第10期186-189,共4页
World Nonferrous Metals
关键词
PCA
ASTER
矿化蚀变
信息提取
遥感
PCA
Aster
mineralization alteration
information extraction
remote sensing
