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 ...
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