Dong-hui Wang,Xiu-kun Yang,Yan Zhao.A hyperspectral image endmember extraction algorithm based on generalized morphology[J].Optoelectronics Letters,2014,10(5):387-390 A hyperspectral image endmember extraction algorithm based on generalized morphology Author Name Affiliation E-mail Dong-hui Wang  College of Information and Communication Engineering, Harbin Engineering University, Harbin, 150001, China  wangdonghui@hrbeu.edu.cn  Xiu-kun Yang  College of Information and Communication Engineering, Harbin Engineering University, Harbin, 150001, China    Yan Zhao  Electric and Control Engineering College, Heilongjiang University of Science and Technology, Harbin, 150022, China    Abstract:       Generalized morphological operator can generate less statistical bias in the output than classical morphological operator. Comprehensive utilization of spectral and spatial information of pixels, an endmember extraction algorithm based on generalized morphology is proposed. For the limitations of morphological operator in the pixel arrangement rule and replacement criteria, the reference pixel is introduced. In order to avoid the cross substitution phenomenon at the boundary of different object categories in the image, an endmember is extracted by calculating the generalized opening-closing (GOC) operator which uses the modified energy function as a distance measure. The algorithm is verified by using simulated data and real data. Experimental results show that the proposed algorithm can extract endmember automatically without prior knowledge and achieve relatively high extraction accuracy. Hits: 3819 Download times: 0 View Full Text    Download reader