摘要
新疆塔什库尔干地区矿产资源丰富,但环境恶劣地形复杂其地质勘查工作程度不深,传统地质找矿方法难以展开。针对此问题,该文通过多光谱ASTER遥感卫星影像数据,对其进行最大值、最小值、均值、标准差以及协方差等统计分析,探索选取矿化蚀变异常信息提取各波段波谱特征,在遥感矿化蚀变异常信息提取机理研究和已有地质资料分析基础上应用主成分分析法,辅助研究区矿物蚀变指数(波段比值、运算)和掩膜处理模型,提取出该区域的矿化蚀变异常信息。该研究方法的实现为地质环境恶劣、传统找矿难以展开的地区进行成矿预测与资源评价提供科学有效的解决途径。
It is a mineral-rich area in Taxkorgan of Xinjiang that traditional prospecting method for mine is difficult to start with,and geological exploration is still inadequate because of the severe environment and complex terrain.The statistical analysis is given for maximum,minimum,mean,standard deviation and covariance based on multi-spectral data of ASTER remote sensing image,and each band spectrum character is probed into choosing the mineralizing alteration abnormal information.The PCA method based on the mechanism of mineralizing alteration information and the analytical geological structure has been applied in the study area,in which mineralizing alteration information are put forward with the support of mineral alteration index(band ratio,arithmetic)and masking processing model in the research area.It could provide a scientific solution for mineral resource prediction and assessment about serious geologic environment and difficult field without traditional prospecting method.
出处
《遥感信息》
CSCD
北大核心
2015年第4期109-114,共6页
Remote Sensing Information
基金
四川省教育厅矿产资源发展研究中心项目(13sd1167)
国家自然科学基金项目(41201541)
关键词
特征向量
矿物蚀变指数
主成分分析法
塔什库尔干
多光谱数据
feature vector
mineralized alteration principal
principal component analysis
Taxkorgan
multi-spectral data