  For Hyperspectral image (HSI) datasets, each class have their salient feature
and classifiers classify HSI datasets according to the class's saliency
features, however, there will be different salient features when use different
normalization method. In this letter, we report the effect on classifiers by
different normalization methods and recommend the best normalization methods
for classifier after analyzing the impact of different normalization methods on
classifiers. Pavia University datasets, Indian Pines datasets and Kennedy Space
Center datasets will apply to several typical classifiers in order to evaluate
and analysis the impact of different normalization methods on typical
classifiers.
