基于TM数据的某矿区遥感矿化蚀变信息提取研究

摘要

矿化蚀变信息是重要的找矿标志,利用遥感技术提取蚀变异常信息在找矿评价预测工作中,是一种快速高效的方法。地表植被和第四系覆盖的干扰,增加了遥感蚀变信息提取的难度。本文以安徽某地区为研究区域,选用TM影像作为数据源,对植被、水体、阴影等干扰因素进行掩膜去除,采用主成分分析技术,标准差倍数法密度分割处理,并与地层信息叠加以消除假异常的方法,成功提取了该区矿化蚀变信息。%The information of mineralized alteration is important prospecting criteria.It is a kind of fast and efficient method to extract altered anomaly information by remote sense technology for the ore prospecting evaluation.However,because of the interference of the vegetation and Quaternary coverage,the extraction of the alteration information by remote sensing is very difficult.In this paper taking the mining area in Anhui province as the study area,choosing the TM images as data sources,after masking the interference factors,such as vegetation,water and shade,etc,the mineralized alteration information are extracted effectively by the principal component analysis technology,density segmentation based on the standard deviation ratio method,and the false abnormal information are further eliminated through overlaying with the strata information.