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Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability
Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez
Traditional hyperspectral unmixing methods neglect the underlying variability of spectral signatures often observed in typical hyperspectral images (HI), propagating these missmode…
Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
Image fusion combines data from different heterogeneous sources to obtain more precise information about an underlying scene. Hyperspectral-multispectral (HS-MS) image fusion is cu…
A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
Spectral variability in hyperspectral images can result from factors including environmental, illumination, atmospheric and temporal changes. Its occurrence may lead to the propaga…
A Low-rank Tensor Regularization Strategy for Hyperspectral Unmixing
Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez
Tensor-based methods have recently emerged as a more natural and effective formulation to address many problems in hyperspectral imaging. In hyperspectral unmixing (HU), low-rank c…