José Carlos Moreira Bermudez — accepted AI-conference papers

2019

Improved Hyperspectral Unmixing with Endmember Variability Parametrized Using an Interpolated Scaling Tensor

Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez

ICASSP 2019accepted

Endmember (EM) variability has an important impact on the performance of hyperspectral image (HI) analysis algorithms. Recently, extended linear mixing models have been proposed to account for EM variability in the spectral unmixing (SU) problem. The direct use of these models has led to severely il…

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2018

Generalized Linear Mixing Model Accounting for Endmember Variability

Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez

ICASSP 2018accepted

Endmember variability is an important factor for accurately unveiling vital information relating the pure materials and their distribution in hyperspectral images. Recently, the extended linear mixing model (ELMM) has been proposed as a modification of the linear mixing model (LMM) to consider endme…

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