Robust Regression-Based Markov Random Field for Hyperspectral Image Classification
Recently, regression-based classifiers, such as the sparse representation classifier and collaborative representation classifier, have been proposed for hyperspectral image (HSI) classification.However, HSIs are typically corrupted by noise, occlusion, or data loss.Obtaining a good performance for most regression-based methods is difficult.To addre