2 papers
eess.SP2018
Bayesian Unmixing using Sparse Dirichlet Prior with Polynomial Post-nonlinear Mixing Model
Fahime Amiri, Mohammad Hossein Kahaei
A sparse Dirichlet prior is proposed for estimating the abundance vector of hyperspectral images with a nonlinear mixing model. This sparse prior is led to an unmixing procedure in…
eess.SP2018
Using Spatial Correlation in Semi-Supervised Hyperspectral Unmixing under Polynomial Post-nonlinear Mixing Model
Fahime Amiri, Mohammad Hossein. Kahaei
This paper presents a semi-supervised hyperspectral unmixing solution that integrate the spatial information in the abundance estimation procedure. The proposed method is applied o…