重庆理工大学学报（自然科学版）2017，Vol.31Issue(12)：146-150,172,6.DOI:10.3969/j.issn.1674-8425(z).2017.12.025
一种结合CEM的高光谱遥感影像目标检测算法
Target Detection Algorithm of Hyperspectral Remote Sensing Imagery Combined with CEM
摘要
Abstract
A target detection algorithm based on CEM (Constrained Energy Minimum) is proposed.The virtual dimensionality algorithm is employed to effectively estimate the number of endmembers,and the interested endmembers are extracted from hyperspectral images.MNF (Maximum Noise Fraction) is introduced for the dimensionality reduction of original images.Based on the results of virtual dimensionality,the reasonable number of principle component is selected.According to the target endmembers,an improved CEM detector is used for target detection.Experimental results show that the proposed algorithm provides better performance of target detection for hyperspectral images.关键词
高光谱影像/目标检测/CEM算子/虚拟维数Key words
hyperspectral imagery/target detection/CEM detector/virtual dimensionality分类
信息技术与安全科学引用本文复制引用
杨磊,苏令华,吴宝刚,王宝海,栗铁桩..一种结合CEM的高光谱遥感影像目标检测算法[J].重庆理工大学学报（自然科学版）,2017,31(12):146-150,172,6.基金项目
陕西省自然科学基金资助项目(2016JM4008) （2016JM4008）
