Feature selection is a widely used technique in hyperspectral data processing,but there is little work concerning the evaluation of the performances with respect to different feature selection methods especially when the ground truth map is absent.This paper analyzes the selection criterion from probabilistic statistics and correlation analysis,and points out the disadvantage of directly using them for evaluation application,and then proposes the evaluation index based on the Tsallis entropy redundancy.This...