Graphs naturally lend themselves to model the complexities of Hyperspectral Image (HSI) data as well serve semi-supervised classifiers by propagating given labels among nearest neighbours. In this work, we present a novel framework for classification HSI in light very limited amount labelled data, inspired multi-view graph learning and signal processing. Given an priori superpixel-segmented hyp...

The deficiency of the ability for preserving global geometric structure information of data is the main problem of existing semi-supervised dimensionality reduction with pairwise constraints. A dimensionality reduction algorithm called Semi-supervised Sparsity Pairwise Constraint Preserving Projections based on Genetic Algorithm (SSPCPPGA) is proposed. On the one hand, the algorithm fuses unsup...