246 citations · 1.1k across the 36 of their papers we have counts for
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stat.ME2014
Bayesian nonlinear hyperspectral unmixing with spatial residual component analysis
Yoann Altmann, Marcelo Pereyra, Stephen McLaughlin
This paper presents a new Bayesian model and algorithm for nonlinear unmixing of hyperspectral images. The model proposed represents the pixel reflectances as linear combinations o…
stat.CO2014★ 38 cited
Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing
Yoann Altmann, Marcelo Pereyra, Jose Bioucas-Dias
This paper presents a new Bayesian collaborative sparse regression method for linear unmixing of hyperspectral images. Our contribution is twofold; first, we propose a new Bayesian…