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papers

Publications (13)

A Bayesian approach to denoising of single-photon binary images

Yoann Altmann, Reuben Aspden, Miles Padgett +1

Lidar waveform based analysis of depth images constructed using sparse single-photon data

Yoann Altmann, Ximing Ren, Aongus McCarthy +2

Nonlinear spectral unmixing of hyperspectral images using Gaussian processes

Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin +1

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

Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin +1

Robust spectral unmixing of sparse multispectral Lidar waveforms using gamma Markov random fields

Yoann Altmann, Aurora Maccarone, Aongus McCarthy +4

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

Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret

Deconvolution and Restoration of Optical Endomicroscopy Images

Ahmed Karam Eldaly, Yoann Altmann, Antonios Perperidis +4

Robust Linear Spectral Unmixing using Anomaly Detection

Yoann Altmann, Steve McLaughlin, Alfred Hero

Patch-Based Sparse Representation For Bacterial Detection

Ahmed Karam Eldaly, Yoann Altmann, Ahsan Akram +3

physics.ins-det2016

Robust Bayesian target detection algorithm for depth imaging from sparse single-photon data

Yoann Altmann, Ximing Ren, Aongus McCarthy +2

Bayesian nonlinear hyperspectral unmixing with spatial residual component analysis

Yoann Altmann, Marcelo Pereyra, Stephen McLaughlin

physics.data-an2014

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

Nicolas Dobigeon, Laurent Tits, Ben Somers +2

Spectral unmixing of Multispectral Lidar signals

Yoann Altmann, Andrew Wallace, Steve McLaughlin