The mixels in the hypersepectral images not only influence the accuracy of target detection and classification

but also greatly hinder the development of quantitative remote sensing. The typical endmember extraction algorithms now available are analyzed and summarized. These algorithms can be classified into two types based on the hypothesis of the existence of the pure pixels: endmember identiflcation algorithm and endmember generation algorithm. Six endmember extraction algorithms

including N-FINDR

VCA

SGA

OSP

ICE and MVC-NMF

are introduced and compared using experimental data

which further show their advantages and disadvantages. With results of various methods

the future perspective is proposed for further study.