Feature subset selection with applications to hyperspectral data [image classification examples]

Feature subset selection is very important in high dimensional datasets such as hyperspectral images. In this paper, we define a new feature redundancy measure. Two different feature selection algorithms are proposed based on this measure. Experimental results on a real hyperspectral dataset are presented to demonstrate the effectiveness of our methodology.