GMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data

AmirAbbas Davari, Erchan Aptoula, Berrin Yanikoglu +2

The amount of training data that is required to train a classifier scales with the dimensionality of the feature data. In hyperspectral remote sensing, feature data can potentially…