In this paper,a novel remote sensing image classification method was proposed,which was based on feature selection and Support Vector Machine （SVM） classifier. A minimal redundancy and maximal relevance criterion based on mutual information was applied to selection a set of informative and non-redundant Gabor texture feature, HSV color feature and spectral feature from high spectral remote sensing image, which are then further enhanced by SVM based on radial basis function for supervise classification. Experimental results show this method leads to promising improve...
