709 citations · 4k across the 65 of their papers we have counts for
5 papers · 1 filter
Nonlinear spectral unmixing of hyperspectral images using Gaussian processes
Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin +1
This paper presents an unsupervised algorithm for nonlinear unmixing of hyperspectral images. The proposed model assumes that the pixel reflectances result from a nonlinear functio…
Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithm
Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia +1
This paper addresses the problem of estimating the Potts parameter B jointly with the unknown parameters of a Bayesian model within a Markov chain Monte Carlo (MCMC) algorithm. Sta…
Computing the Cramer-Rao bound of Markov random field parameters: Application to the Ising and the Potts models
Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia +1
This report considers the problem of computing the Cramer-Rao bound for the parameters of a Markov random field. Computation of the exact bound is not feasible for most fields of i…
Semi-blind Sparse Image Reconstruction with Application to MRFM
Se Un Park, Nicolas Dobigeon, Alfred O. Hero
We propose a solution to the image deconvolution problem where the convolution kernel or point spread function (PSF) is assumed to be only partially known. Small perturbations gene…
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
José M. Bioucas-Dias, Antonio Plaza, Nicolas Dobigeon +4
Imaging spectrometers measure electromagnetic energy scattered in their instantaneous field view in hundreds or thousands of spectral channels with higher spectral resolution than…