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Yoann Altmann

Dr

 https://orcid.org/0000-0002-3177-9884
20112019
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Research Output 2011 2019

2016

Robust spectral unmixing of multispectral Lidar waveforms

Altmann, Y., Maccarone, A., McCarthy, A., Newstadt, G., Buller, G. S., McLaughlin, S. & Hero, A., 22 Aug 2016.

Research output: Contribution to conference › Paper

Open Access
File
lidar
outlier
laser
anomaly
methodology

Robust unmixing algorithms for hyperspectral imagery

Halimi, A., Altmann, Y., Buller, G. S., McLaughlin, S., Oxford, W., Clarke, D. & Piper, J., 16 Jun 2016, (Accepted/In press).

Research output: Contribution to conference › Paper

Open Access
File
imagery
outlier

Target detection for depth imaging using sparse single-photon data

Altmann, Y., Ren, X., McCarthy, A., Buller, G. S. & McLaughlin, S., 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, p. 3256-3260 5 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Target tracking
Photons
Imaging techniques
Optical radar
Impulse response
2015

Bayesian nonlinear hyperspectral unmixing with spatial residual component analysis

Altmann, Y., Pereyra, M. & McLaughlin, S., 2015, In : IEEE Transactions on Computational Imaging.

Research output: Contribution to journal › Article

File
Markov chain
reflectance
pixel
analysis
methodology

Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing

Altmann, Y., Pereyra, M. & Bioucas-Dias, J., Dec 2015, In : IEEE Transactions on Image Processing. 24, 12, p. 5800-5811 12 p.

Research output: Contribution to journal › Article

Open Access
File
pixel
Markov chain
methodology
material
experiment

Nonlinear spectral unmixing using residual component analysis and a Gamma Markov random field

Altmann, Y., Pereyra, M. & McLaughlin, S., 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE, p. 165-168 4 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Spectral Unmixing
Hyperspectral Image
Random Field
Hierarchical Bayesian Model
Markov Chain Monte Carlo Algorithms

Robust Linear Spectral Unmixing using Anomaly Detection

Altmann, Y., McLaughlin, S. & Hero, A., 2015, In : IEEE Transactions on Computational Imaging.

Research output: Contribution to journal › Article

Open Access
File
anomaly
outlier
reflectance
pixel
detection

Robust linear spectral unmixing using outlier detection

Altmann, Y., McLaughlin, S. & Hero, A., 4 Aug 2015, Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on. IEEE, Vol. 2015-August. p. 2464-2468 5 p. 7178414

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pixels
Wavelength

Spectral Unmixing of Multispectral Lidar Signals

Altmann, Y., Wallace, A. & McLaughlin, S., 15 Oct 2015, In : IEEE Transactions on Signal Processing. 63, 20, p. 5525-5534 10 p.

Research output: Contribution to journal › Article

Open Access
File
Optical radar
Signal analysis
Markov processes
Monte Carlo methods
2014

Nonlinear spectral unmixing of hyperspectral images using residual component analysis

Altmann, Y. & McLaughlin, S., 2014, 2014 Sensor Signal Processing for Defence. IEEE, 5 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

Altmann, Y., Dobigeon, N., McLaughlin, S. & Tourneret, J., 1 May 2014, In : IEEE Transactions on Image Processing. 23, 5, p. 2148-2158 11 p., 6775297.

Research output: Contribution to journal › Article

Open Access
File
Pixels

Residual component analysis of hyperspectral images for joint nonlinear unmixing and nonlinearity detection

Altmann, Y., Dobigeon, N., McLaughlin, S. & Tourneret, J. Y., 1 Jan 2014, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. IEEE, p. 3166-3170 5 p. 6854184

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pixels

Sampling from a multivariate Gaussian distribution truncated on a simplex: a review

Altmann, Y., McLaughlin, S. & Dobigeon, N., 2014, IEEE Workshop on Statistical Signal Processing Proceedings. IEEE, p. 113-116 4 p. 6884588

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gibbs Sampler
Gaussian distribution
Multivariate Distribution
Monte Carlo method
Monte Carlo methods

Unsupervised post-nonlinear unmixing of hyperspectral images using a hamiltonian Monte Carlo algorithm

Altmann, Y., Dobigeon, N. & Tourneret, J-Y., Jun 2014, In : IEEE Transactions on Image Processing. 23, 6, p. 2663-2675 13 p., 6778790.

Research output: Contribution to journal › Article

Hamiltonians
Polynomials
Tuning
Pixels
2013

Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model

Altmann, Y., Dobigeon, N. & Tourneret, J-Y., Apr 2013, In : IEEE Transactions on Image Processing. 22, 4, p. 1267-1276 10 p.

Research output: Contribution to journal › Article

Polynomials
Pixels
Minerals
Statistics

Nonlinear spectral unmixing of hyperspectral images using Gaussian processes

Altmann, Y., Dobigeon, N., McLaughlin, S. & Tourneret, J-Y., 15 May 2013, In : IEEE Transactions on Signal Processing. 61, 10, p. 2442-2453 12 p.

Research output: Contribution to journal › Article

pixel
reflectance
method
state of the art
analysis
2012

Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery

Altmann, Y., Halimi, A., Dobigeon, N. & Tourneret, J-Y., Jun 2012, In : IEEE Transactions on Image Processing. 21, 6, p. 3017-3025

Research output: Contribution to journal › Article

imagery
reflectance
pixel
simulation

Unsupervised nonlinear unmixing of hyperspectral images using Gaussian processes

Altmann, Y., Dobigeon, N., McLaughlin, S. & Tourneret, J-Y., 31 Aug 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, p. 1249-1252 4 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pixels
2011

A post nonlinear mixing model for hyperspectral images unmixing

Altmann, Y., Halimi, A., Dobigeon, N. & Tourneret, J-Y., 20 Oct 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium. IEEE, p. 1882-1885 4 p. (International Geoscience and Remote Sensing Symposium).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

reflectance
pixel
Pixels
Polynomials
simulation

Bilinear models for nonlinear unmixing of hyperspectral images

Altmann, Y., Dobigeon, N. & Tourneret, J-Y., 18 Nov 2011, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 6080928

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nonlinear unmixing of hyperspectral images using a generalized bilinear model

Halimi, A., Altmann, Y., Dobigeon, N. & Tourneret, J-Y., 29 Jul 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP). IEEE, p. 413-416 4 p. (IEEE Statistical Signal Processing Workshop (SSP)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Bilinear Model
Hyperspectral Image
Posterior distribution
Joint Distribution
Positivity

Nonlinear unmixing of hyperspectral images using a generalized bilinear model

Halimi, A., Altmann, Y., Dobigeon, N. & Tourneret, J-Y., Nov 2011, In : IEEE Transactions on Geoscience and Remote Sensing. 49, 11, p. 4153 - 4162 10 p.

Research output: Contribution to journal › Article

Nonlinear unmixing of hyperspectral images using radial basis functions and orthogonal least squares

Altmann, Y., Dobigeon, N., Tourneret, J-Y. & McLaughlin, S., 20 Oct 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium. IEEE, p. 1151-1154 4 p. (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Radial basis function networks
abundance estimation
Pixels
reflectance
pixel

Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery

Altmann, Y., Halimi, A., Dobigeon, N. & Tourneret, J-Y., 12 Jul 2011, 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). IEEE, p. 1009-1012 4 p. (IEEE International Conference on Acoustics, Speech and Signal Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Polynomials
Pixels