摘要
安徽庐江何家大岭位于庐枞火山岩盆地,具有典型蚀变特征,文章采用先进星载热辐射与反射辐射计(Advanced Spaceborne Thermal Emission and Reflection Radiometer,ASTER)数据及高光谱数据分析方法,对研究区矿物类型进行识别,识别结果与地质资料较为吻合,说明利用ASTER数据进行岩矿识别具有较好的效果;利用线性波谱分离技术对研究区进行混合像元分解,制作了岩石矿物分布图。
Hejiadaling area is in Lujiang‐Zongyang volcanic rock basin in Anhui Province ,and there are many evidences of hydrothermal alteration in this area .In this paper ,the hyperspectral analysis meth‐ods such as Spectral Analyst of ENVI software and linear spectral unmixing（LSU） are used to process the data obtained by Advanced Spaceborne Thermal Emission and Reflection Radiometer（ASTER） for identifying minerals and rocks .The results from these methods show good match with the geological materials ,indicating that mineral and rock identification by using the data of ASTER is effective .The distribution maps of minerals and rocks are also made with the mixed pixel unmixing by LSU method .
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2015年第9期1260-1264,共5页
Journal of Hefei University of Technology：Natural Science
基金
安徽省国土资源软科学研究资助项目(2012021)
安徽省国土资源科技资助项目(2012-k-25
2011-k-11)
安徽省科技厅科技计划重点科研资助项目(11070403045)
关键词
蚀变异常
岩矿识别
高光谱数据
线性波谱分离
hydrothermal alteration
mineral and rock identification
hyperspectral data
