摘要
应用ENVI4.6软件,对云南江城大团包铜矿及外围ETM+遥感数据,通过彩色合成、直方图拉伸进行信息增强处理,运用主成分分析和监督分类法,提取了高植被覆盖区遥感影像上铜、铅等植物地球化学异常信息。利用卷积滤波和形态学分析方法进行线性构造解译,利用计盒维数法求得研究区的线性构造分维值,得出本区线性构造具有良好的统计自相似性和分形特征。比较线性构造分维等值线图和植物地球化学异常图可知,线性构造集中区与植被异常区基本吻合,区内已知80%以上的矿点分布于植被异常和线性构造集中区。综合分析地层岩性、构造、矿点、线性构造分维等值线特征和遥感植被异常特征等信息,圈出了9个三级找矿靶区。
This article described the way to extract information of copper and lead anomaly in high vegetation coverage area through a case study from the Datuanbao copper ore deposit and its environs, Jiangcheng,Yunnan Province. Principal component analysis, false color composite, stretch Histogram and supervise classification etc were analyzed in the remote sensing images using ENVI4.6 software. It is suggested that the linear structure, which is delineated by convolution filter and morphological analysis method,is characterized by statistical self-similarity and fractal geometry. It is found that the high value of fractal dimension is roughly coincident with the copper and lead anomaly of vegetation by the comparison between contour maps of plant geochemical anomaly and fractal dimensions, which is calculated by box-counting. As a matter of fact,80 percent of copper and lead deposits or occurrences are located in areas of high value of fractal dimension and vegetation anomaly. By the comprehensive analysis of stratigraphy, igneous rocks,copper and lead mineralizations, fractal dimension of linear structures and vegetation anomaly from remote sensing, nine exploration targets with three levels of probabilities are figured out.
出处
《遥感技术与应用》
CSCD
北大核心
2013年第5期879-889,共11页
Remote Sensing Technology and Application
基金
桂林理工大学广西矿冶与环境科学实验中心
广西隐伏金属矿产勘查重点实验室
中国科学院地球化学研究所矿床地球化学国家重点实验室开放基金项目(200913)
云南省普洱市锦晟矿业投资有限公司项目资助
关键词
ETM+遥感数据
线性构造解译
植物地球化学异常信息提取
找矿预测
ETM
remote sensing
Linear structure interpretation
Extraction of plant geochemical anomaly
Metallogenic prognosis