湖北民族学院学报（自然科学版）2016，Vol.34Issue(1)：84-86,3.DOI:10.13501/j.cnki.42-1569/n.2016.03.022
基于 SAM 分类方法遥感矿物信息提取研究
Extraction of Mineral Information from Remote Sensing Image Based on SAM Classification Method
摘要
Abstract
The ingredients and diagnostic features within the wavelength range of different minerals were described in the paper. According to spectral libraries mineral Endmember pure elements like pop curves, we extracted mineral information from hyperspectral image,such as calcite,alunite,kaolinite and illite,by using SAM classification method.关键词
高光谱影像/矿物提取/纯净像元/波谱角分类Key words
hyperspectral imaging/mineral extraction/pure pixel/spectral angle classification分类
信息技术与安全科学引用本文复制引用
湛国毅,湛青青,吴玲,汪宏晨..基于 SAM 分类方法遥感矿物信息提取研究[J].湖北民族学院学报（自然科学版）,2016,34(1):84-86,3.基金项目
国家自然科学基金项目（41101407）；湖北省自然科学基金项目 （）
