Remote sensing-based mineralized alteration information extraction and prospecting prediction of the Beiya gold deposit, Yunnan Province
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摘要: 在利用遥感技术找矿中,矿化蚀变信息识别与提取起着重要作用。以北衙金多金属矿为例,选择Landsat8 OLI数据,根据与矿物蚀变相关的光谱特征,采用主成分分析法,设计了干扰信息(植被、水体和阴影)去除-异常信息提取-异常分级-中值滤波-异常筛选的蚀变信息提取方案,所得结果结合遥感地质解译(岩性、构造)、野外实地查证圈定出研究区内3处找矿远景区,为北衙区地质找矿工作提供了基础数据和决策依据。Abstract: The identification and extraction of mineralized alteration information play an important role in the ore prospecting using remote sensing technology. Taking the Beiya gold polymetallic deposit as an example, this study designed an alteration information extraction scheme using the principal component analysis technique according to Landsat8 OLI data and the spectral characteristics related to mineral alteration. Specifically, the extraction scheme consists of the removal of interference information (vegetation, water, and shadows), extraction of abnormal information, anomaly gradation, median filtering, and anomaly screening successively. According to the anomaly information extracted, as well as geological interpretation of remote sensing data (lithology and structures) and field surveys, three prospecting areas were delineated in the study area. This will provide basic data and decision-making bases for the ore prospecting in the Beiya area.
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