Hyperspectral unmixing aims at decomposing a hyperspectral image (HSI) into a number of constituted materials and associated proportions. Recently, nonnegative tensor factorization (NTF) based methods ...

Hyperspectral imagery (HSI) denoising is an important preprocessing step for real-world applications. Recently, sparse representation and low-rank representation based methods are proven effective in ...

adaptive-learning tensor-factorization missing-data online-learning tensor-decomposition cp-decomposition tensor-networks tensor-train parafac hosvd tensor-analysis tucker-decomposition ...