基于ASTER数据的遥感矿化蚀变信息提取方法研究

Remote sensing search for mineral resources has increasingly attracted attention in recent years. To extracting the information of the alteration of rocks and minerals is one of the most important part. At present, most of the research works are on the data of ETM+(TM). In this study, ASTER (Advanced Space - borne Thermal Emission and Reflecation) remote sensing data is used to extract the information of the alteration of rocks and minerals in the western area of Hongqi mountain in the inner mongolia. the Principal Component Analysis(PCA) method based on the method of the crosta. PCA is effectively done by using 1、3、4、N four ASTER bands as input bands to extract the the alteration information of the iron mineralization, kaolinization+ sericitization and chloritization. This study shows that ASTER data has better capability for recognition of clay mineral.It also proves the feasibility of this method in the remote sensing search for mineral resources at such region. And prospecting target optimization have been made for the future work.