Hyperspectral Feature Selection Based on Mutual Information and Nonlinear Correlation Coefficient


Mutual information (MI) has obvious potential for feature selection, but this has not been fully exploited in the past. In order to make numerical computation easier and more accurate, the MI of the whole multi-dimensional data can be decomposed into an amount of one-dimensional MI and one-dimensional conditional MI components. This paper reveals that using… (More)
DOI: 10.1109/IIH-MSP.2009.71


3 Figures and Tables