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20082026
most citedHyperspectral and Multispectral Image Fusion based on a Sparse Representation

709 citations · 4k across the 65 of their papers we have counts for

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Showing 2013Show all

8 papers · 1 filter

physics.data-an2013

A comparison of nonlinear mixing models for vegetated areas using simulated and real hyperspectral data

Nicolas Dobigeon, Laurent Tits, Ben Somers +2

Spectral unmixing is a crucial processing step when analyzing hyperspectral data. In such analysis, most of the work in the literature relies on the widely acknowledged linear mixi…

math.OC2013

A normalized scaled gradient method to solve non-negativity and equality constrained linear inverse problem - Application to spectral mixture analysis

Céline Theys, Henri Lantéri, Nicolas Dobigeon +3

This paper addresses the problem of minimizing a convex cost function under non-negativity and equality constraints, with the aim of solving the linear unmixing problem encountered…

stat.ME2013★ 3 cited

Joint Bayesian estimation of close subspaces from noisy measurements

Olivier Besson, Nicolas Dobigeon, Jean-Yves Tourneret

In this letter, we consider two sets of observations defined as subspace signals embedded in noise and we wish to analyze the distance between these two subspaces. The latter entai…

stat.ME2013★ 54 cited

Residual component analysis of hyperspectral images -- Application to joint nonlinear unmixing and nonlinearity detection

Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin +1

This paper presents a nonlinear mixing model for joint hyperspectral image unmixing and nonlinearity detection. The proposed model assumes that the pixel reflectances are linear co…

cs.CV2013★ 4 cited

Bayesian Fusion of Multi-Band Images

Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret

In this paper, a Bayesian fusion technique for remotely sensed multi-band images is presented. The observed images are related to the high spectral and high spatial resolution imag…

stat.ME2013★ 82 cited

Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm

Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret

This paper presents a nonlinear mixing model for hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are post-nonlinear functions of unknown pure s…