Set-to-Set Distance-Based Spectral-Spatial Classification of Hyperspectral Images.

A novel set-to-set distance-based spectral-spatial classification method for hyperspectral images (HSIs) is proposed. In HSIs, the spatially connected and spectrally similar pixels within each homogeneous region can be considered as one set of test samples, i.e., a test set, which should belong to the same class. In addition, each class of labeled pixels can be regarded as one set of training samp...