2017
Hyperspectral unmixing with endmember variability using Partial Membership Latent Dirichlet Allocation
ICASSP 2017accepted
The application of Partial Membership Latent Dirichlet Allocation (PM-LDA) for hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA provides a model for a hyperspectral image analysis that accounts for spectral variability and incorporates spatial information through the use…