421 citations · 2.4k across the 51 of their papers we have counts for
5 papers · 1 filter
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez +1
Multiple Endmember Spectral Mixture Analysis (MESMA) is one of the leading approaches to perform spectral unmixing (SU) considering variability of the endmembers (EMs). It represen…
Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez +1
Sparse hyperspectral unmixing from large spectral libraries has been considered to circumvent limitations of endmember extraction algorithms in many applications. This strategy oft…
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images
Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard +1
Mixing phenomena in hyperspectral images depend on a variety of factors such as the resolution of observation devices, the properties of materials, and how these materials interact…
Band selection in RKHS for fast nonlinear unmixing of hyperspectral images
T. Imbiriba, J. C. M. Bermudez, C. Richard +1
The profusion of spectral bands generated by the acquisition process of hyperspectral images generally leads to high computational costs. Such difficulties arise in particular with…
A graph Laplacian regularization for hyperspectral data unmixing
Rita Ammanouil, André Ferrari, Cédric Richard
This paper introduces a graph Laplacian regularization in the hyperspectral unmixing formulation. The proposed regularization relies upon the construction of a graph representation…