红外技术2016，Vol.38Issue(6)：481-485,5.
数据约简化的高光谱影像端元提取
Endmember Extraction Algorithm Based on Hyperspectral Data Simplification
摘要
Abstract
This paper proposes a new algorithm which designs a suitable hypersphere in the feature space by utilizing the spatial information of the hyperspectral image in the feature space to separate the simplex vertices outside the hypersphere, then the data inside the hypersphere is excluded and only a small amount of data outside the hypersphere is involved in endmember extraction algorithm. Our analysis indicates that this method can greatly reduce the amount of computation of the endmember extraction algorithm and therefore can improve the operational speed. The final experimental results illustrate that the endmembers extracted from the simplified hyperspectral data by certain algorithms based on convex geometry have high precision and almost are identical to the endmembers extracted from the hyperspectral data before simplification by utilizing same algorithms.关键词
高光谱遥感/端元提取/空间结构信息/超球/混合像元分解Key words
hyperspectral remote sensing/endmember extraction/spatial information/hypersphere/hyperspectral unmixing分类
天文与地球科学引用本文复制引用
徐君,宋凯,李波,蔡体健,王彩玲..数据约简化的高光谱影像端元提取[J].红外技术,2016,38(6):481-485,5.基金项目
国家自然科学青年基金项目（41301382）；教育部人文社科青年基金项目（13YJCZH089）；江西省科技支撑项目（20151BBG70055）。 （）
