地质与勘探2013，Vol.49Issue(2)：359-366,8.
高光谱遥感岩矿识别方法对比研究
A Comparative Study on the Mineral Identification Methods Using Hyperspectral Remote Sensing Data
摘要
Abstract
As a new remote sensing technology, the hypersperctral technique is still in an exploring stage in our country. On the basis of hyperspectral remote sensing image processing, this paper studies the classification and recognition of the Cuprite ore district of the U. S. in view of pixel statistics and spectrum characters, and extracts the information of eight kinds of rocks and ores, and assesses the classification accuracies for different classification methods using confusion matrix. The results show that the more concentrated spatial distribution of rocks and minerals exhibits, the more obvious spectrum characters , and the higher classification accuracy. The classification methods based on the spectral characteristics is better than that based on the traditional statistical analysis. This provides a theoretical basis for mineral mapping using the hyperspectral remote sensing technology.关键词
高光谱遥感/分类方法/岩矿/精度评价Key words
hyperspectral remote sensing/ classification method/ rocks and ores/ accuracy assessment分类
天文与地球科学引用本文复制引用
刘汉湖,杨武年,杨容浩..高光谱遥感岩矿识别方法对比研究[J].地质与勘探,2013,49(2):359-366,8.基金项目
国家自然科学基金(41102225)、地质灾害防治与地质环境保护国家重点实验室自主课题(SKLGP2011Z013)资助. （41102225）
