Classification of hyperspectral images by tensor modeling and additive morphological decomposition

► Additive morphological decomposition without any loss of information is proposed. ► Decomposition is modeled as a tensor structure. ► Tensor PCA is compared versus PCA. ► Proposed workflow performs better than other techniques in HSI classification.