Abstract: Dimensionality reduction (DR) is important for feature extraction and classification of hyperspectral images (HSIs). Recently proposed superpixel-based DR models have shown promising ...
Abstract: Linear discriminant analysis (LDA) classification is widely used in the current field of machine learning and data mining. However, its computational complexity tends to cause high ...