A Comparative Study on the Mineral Identification Methods Using Hyperspectral Remote Sensing Data
详细信息
- 责任者：Liu Hanhu (State Key Laboratory of Geohazard Prevention and Geoenvironment Protection ; Chengdu University of Technology ; Chengdu 610059 ; China) ; Yang Wunian
- 刊名：Geology and Prospecting
- 出版年：2013
- 卷期：49(2)
- 关键词：高光谱遥感 ; hyperspectral remote sensing ; 矿物学填图 ; mineralogic mapping
- 页码：p.359-366
- 图表：illus., 2 tables, 21 refs.
- 分类号：1600
- issnNo：ISSN0495-5331
- isbnNo：CN11-2043/P
摘要
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.
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