**Full list of Publications**

**Submitted papers**

- Anomaly detection with high resolution hyperspectral observations, submitted, 2018.

**International journal papers**

- X. Ren, Y. Altmann, R. Tobin, A. McCarthy, S. McLaughlin, G. S. Buller, "Wavelength-time coding for multispectral 3D imaging using single-photon Lidar", Optics Express, vol. 26, no. 23, 2018.
- M. Paff, A. Di Fulvio, Y. Altmann, S. D. Clarke, A. O. Hero, S. A. Pozzi, "Identification of mixed sources with an organic scintillator-based radiation portal monitor", in press, 2018.
- Y. Altmann, S. McLaughlin, M. J. Padgett, V. K Goyal, A. O. Hero, D. Faccio, "Quantum-inspired computational imaging", Science
**361**, 660, 2018. - H. Wendt, S. Combrexelle, Y. Altmann, J-Y. Tourneret, S. MacLaughlin, P. Abry, "Multifractal Analysis of Multivariate Images Using Gamma Markov Random Field Priors",
*SIAM Journal on Imaging Sciences*, vol. 11, no. 2, 2018. - P. Caramazza, K. Wilson, G. Gariepy, J. Leach, S. McLaughlin, D. Faccio, Y. Altmann, "Enhancing the recovery of temporal sequence of images using joint deconvolution",
*Scientific Reports*8, 5257, 2018. - Y. Altmann, A. Maccarone, A. McCarthy, S. McLaughlin, G. S. Buller, "Spectral classification of sparse photon depth images",
*Optics Express*, vol. 26, no.5, 2018. - A. K. Eldaly, Y.Altmann, A. Perperidis, N. Krstajic, T. R. Choudhary, K.Dhaliwal, Stephen McLaughlin, "Deconvolution and restoration of optical endomicroscopy images",
*IEEE Trans. Computational Imaging*, vol. 4, no. 2, June 2018 (Preprint available on arXiv). - X. Ren, P. Connolly, A. Halimi, Y. Altmann, S. McLaughlin, I. Gyongy, R. K. Henderson, G. S. Buller, "High-resolution depth profiling using a range-gated Si CMOS SPAD quanta image sensor",
*Optics Express*, vol. 26, no.5, 2018. - A. Perperidis, H. E. Parker, A. Karam-Eldaly, Y. Altmann, K. Dhaliwal, R. R. Thomson, M.G. Tanner, S. McLaughlin, "Characterization and modelling of inter-core coupling in coherent fiber bundles",
*Optics Express*, vol. 25, no. 10, 2017. - R. E. Warburton, C. Aniculaesei, M. Clerici, Y. Altmann, G. Gariepy, D. T. Reid, S. McLaughlin, M. Petrovich, J. Hayes, R. K. Henderson, D. F. A. Faccio, J. Leach, "Observation of laser pulse propagation in optical fibers with a SPAD camera",
*Scientific Reports*7, 43302, 2017. - R. Tobin, Y. Altmann, X. Ren, A. McCarthy, R. Lamb, S. McLaughlin, G. S. Buller, "Comparative study of sampling strategies for sparse photon multispectral Lidar imaging: towards mosaic filter arrays",
*Journal of Optics*, vol. 19, no. 9, Aug. 2017. - Y. Altmann, R. Aspden, M. Padgett, S. McLaughlin, "A Bayesian approach to denoising of single-photon binary images",
*IEEE Trans. Computational Imaging*, vol. 3, no. 3, 2017. (Preprint available on arXiv). - S. Chan, R. Warburton, G. Gariepy, Y. Altmann, S. McLaughlin, J. Leach, D. Faccio, "Fast tracking of hidden objects with single-pixel detectors",
*Electronics Letters, vol. 53, no. 15, 2017.* - A. Perperidis, A. Akram, Y. Altmann, P. McCool, J. Westerfeld, D. Wilson, K. Dhaliwal, S. McLaughlin, "Automated detection of uninformative frames in pulmonary optical endomicroscopy (OEM)",
*IEEE Trans. Biomedical Engineering*, vol. 64, no. 1, 2017. - Y. Altmann, A. Maccarone, A. McCarthy, G. Newstadt, G. S. Buller, S. McLaughlin, A. Hero, "Robust spectral unmixing of sparse multispectral Lidar waveforms using gamma Markov random fields",
*IEEE Trans. Computational Imaging*, vol.3, no.4, Dec 2017. - Y. Altmann, X. Ren, A. McCarthy, G. S. Buller, S. McLaughlin, "Robust Bayesian target detection algorithm for depth imaging from sparse single-photon data",
*IEEE Trans. Computational Imaging*, vol. 2, no. 4, 2016. (Preprint available on arXiv) - Y. Altmann, X. Ren, A. McCarthy, G. S. Buller, S. McLaughlin, "Lidar waveform based analysis of depth images constructed using sparse single photon data",
*IEEE Trans. Image Processing*, vol. 25, no. 5, May 2016. (Preprint available on arXiv) - Y. Altmann, M. Pereyra, J.Bioucas-Dias, "Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing",
*IEEE Trans. Image Processing*, vol. 24, no. 12, pp 5800-5811, Dec. 2015. (Preprint available on arXiv) - Y. Altmann, M. Pereyra, S. McLaughlin, "Bayesian nonlinear hyperspectral unmixing with spatial residual component analysis",
*IEEE Trans. Computational Imaging*, vol. 1, no. 3, pp 174-185, Sept. 2015. (Preprint available on arXiv) - Y. Altmann, S. McLaughlin, A. Hero, "Robust linear spectral unmixing using anomaly detection",
*IEEE Trans. Computational Imaging*, vol. 1, no. 2, pp 74-85, June 2015. (Preprint available on arXiv) - Y. Altmann, A. Wallace, S. McLaughlin, "Spectral unmixing of Multispectral signals",
*IEEE Trans. Signal Process.*, vol. 63, no. 20, pp. 5525-5534, Oct. 2015. (Preprint available on arXiv) - N. Dobigeon, L. Tits, B. Somers, Y. Altmann and P. Coppin, "A comparison of nonlinear mixing models for vegetated areas using simulated and real hyperspectral data,"
*IEEE J. Sel. Topics Applied Earth Observations and Remote Sensing*, 2014, vol. 7, no. 6, pp. 1869-1878, June 2014 - Y. Altmann, N. Dobigeon and J.-Y. Tourneret, "Unsupervised post-nonlinear unmixing of hyperspectral images using a Hamiltonian Monte Carlo algorithm,"
*IEEE Trans. Image Processing*, vol. 23, no. 6, pp. 2663-2675, June 2014. - Y. Altmann, N. Dobigeon, S. McLaughlin and J.-Y. Tourneret, "Residual component analysis of hyperspectral images - Application to joint nonlinear unmixing and nonlinearity detection,"
*IEEE Trans. Image Processing*, vol. 23, no. 5, pp. 2148-2158, May 2014. - Y. Altmann, N. Dobigeon , S. McLaughlin and J.-Y. Tourneret, "Nonlinear spectral unmixing of hyperspectral images using Gaussian processes,"
*IEEE Trans. Signal Processing*, vol. 61, no. 10, pp. 2442-2453, May 2013. - Y. Altmann, N. Dobigeon and J.-Y. Tourneret, "Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model,"
*IEEE Trans. Image Processing*, vol. 22, no. 4, pp. 1267-1276, Apr. 2013. - Y. Altmann, A. Halimi, N. Dobigeon and J.-Y. Tourneret, "Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery,"
*IEEE Trans. Image Processing*, vol. 21, no. 6, pp. 3017-3025, June 2012. - A. Halimi, Y. Altmann, N. Dobigeon and J.-Y. Tourneret, "Nonlinear unmixing of hyperspectral images using a generalized bilinear model,"
*IEEE Trans. Geoscience and Remote Sensing*, vol. 49, no. 11, pp. 4153-4162, Nov. 2011.

**Book chapters**

- N. Dobigeon, Y. Altmann, N. Brun and S. Moussaoui, "Linear and nonlinear unmixing in hyperspectral imaging," in Resolving spectral mixtures - With application from ultrafast time-resolved spectroscopy to superresolution imaging, C. Ruckebusch , Ed. Oxford, U.K.: Elsevier, Data Handling in Science and Technology Series, 2016.

**International conference papers**

- J. Tachella, Y. Altmann, M. Pereyra, J-Y Tourneret, "Bayesian restoration of high-dimensional photon-starved images",
*Proc. European Signal Processing Conf. (EUSIPCO)*, Rome, Italy, Sept. 2018. - Y. Altmann, S. McLaughlin, "Range Estimation from Single-Photon Lidar Data Using a Stochastic EM Approach",
*Proc. European Signal Processing Conf. (EUSIPCO)*, Rome, Italy, Sept. 2018. - A. K. Eldaly, Y.Altmann, A. Perperidis, Stephen McLaughlin, "Deconvolution of irregularly subsampled images",
*IEEE Workshop on Statistical Signal Processing (SSP)*2018. - Y. Altmann, M. Padgett, S. McLaughlin, "Unsupervised Restoration of Subsampled Images Constructed from Geometric and Binomial data", IEEE CAMSAP, Curacao, Dec. 2017.
- A. Halimi, P. Connolly, X. Ren, I. Gyongy, R. K. Henderson,. S. McLaughlin, G. S. Buller, "Restoration of Depth and Intensity Images using a Graph Laplacian Regularization", IEEE CAMSAP, Curacao, Dec. 2017.
- Y. Altmann, R. Tobin, A. Maccarone, X. Ren, A. McCarthy, G. S. Buller and S. McLaughlin, “Bayesian restoration of reflectivity and range profiles from subsampled single-photon multispectral Lidar data,”
*Proc. European Signal Processing Conf. (EUSIPCO)*, Kos, Greece, Sept. 2017. - M. Paff, A. Di Fulvio, Y. Altmann, S. D. Clarke, S. A. Pozzi, "Identification of mixed sources with an organic scintillator-based radiation portal monitor", Institute of Nuclear Materials Management 58th Annual Meeting, Indian Wells, July 2017.
- Y. Altmann, A. Maccarone, A. Halimi, A. McCarthy, G. S. Buller, S. McLaughlin, “Efficient range estimation and material quantification from multispectral Lidar waveforms,” Sensor Signal Processing for Defence (SSPD) Conference, Edinburgh, U.K., Sept. 2016.
- A. Halimi, Y. Altmann, A. McCarthy, X. Ren,R.Tobin, G. S. Buller, S. McLaughlin, “Robust unmixing algorithms for hyperspectral imagery,” Sensor Signal Processing for Defence (SSPD) Conference, Edinburgh, U.K., Sept. 2016.
- S. Combrexelle, H. Wendt, Y. Altmann, J-Y Tourneret, S. McLaughlin, P. Abry, "Bayesian joint estimation of the multifractality parameter of image patches using gamma Markov random field priors",
*IEEE Intern. Conf. in Image Process. (ICIP),*Phoenix, Arizona, Sept. 2016. - Y. Altmann, A. Maccarone, A. McCarthy, G. S. Buller, S. Mclaughlin, "Joint spectral clustering and range estimation for 3D scene reconstruction using multispectral Lidar waveforms'",
*Proc. European Signal Processing Conf. (EUSIPCO)*, Budapest, Hungary, Sept. 2016. - A. Halimi, Y. Altmann, A. McCarthy, X. Ren, R. Tobin, G. S. Buller, S. Mclaughlin, "Restoration of Intensity and Depth images Constructed Using Sparse Single-Photon Data",
*Proc. European Signal Processing Conf. (EUSIPCO)*, Budapest, Hungary, Sept. 2016. - S. Combrexelle, H. Wendt, Y. Altmann, J-Y Tourneret, S. McLaughlin, P. Abry, "'Bayesian estimation for the local assessment of the multifractality parameter of multivariate time series",
*Proc. European Signal Processing Conf. (EUSIPCO)*, Budapest, Hungary, Sept. 2016. Note: Best paper award. - Y. Altmann, A. Maccarone, A. McCarthy, G. Newstadt, G. S. Buller, S. Mclaughlin, A. Hero, "Robust spectral unmixing of multispectral

Lidar waveforms", IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Los Angeles, California, August 2016. - P. McCool, Y. Altmann, A. Perperidis, Steve McLaughlin, "Robust Markov Random Field Outlier Detection and Removal in Subsampled Images",
*IEEE Workshop on Statistical Signal Processing (SSP)*, Palma de Mallorca, Spain, June 2016. - Y. Altmann, A. Maccarone, A. McCarthy, G. Buller, S. McLaughlin, "Joint range estimation and spectral classification for 3D scene reconstruction using multispectral Lidar waveforms",
*IEEE Workshop on Statistical Signal Processing (SSP)*, Palma de Mallorca, Spain, June 2016. - S. Combrexelle, H. Wendt, J.-Y. Tourneret, Y. Altmann, S. McLaughlin, P. Abry,
*"A Bayesian Approach for the Multifractal Analysis of Spatio-Temporal Data,"*Int. Conf. Systems, Signals and Image Process. (IWSSIP), Bratislava, Slovakia, May 2016*.* - Y. Altmann, X. Ren, A. McCarthy, G. S. Buller, S. McLaughlin, "Target detection for depth imaging using sparse single-photon data", in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Shanghai, China, April 2016. Related technical report
- S. Combrexelle, H. Wendt, Y. Altmann, J.-Y. Tourneret, S. McLaughlin, P. Abry, "A Bayesian framework for the multifractal analysis of images using data augmentation and a Whittle approximation," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Shanghai,

China, April 2016. - Y. Altmann, M. Pereyra, S. McLaughlin, "Nonlinear Spectral Unmixing Using Residual Component Analysis and a Gamma Markov Random Field", IEEE CAMSAP, Cancun, Mexico, Dec. 2015.
- Y.Altmann, M. Pereyra and J.Bioucas-Dias, "Linear spectral unmixing using collaborative sparse regression and correlated supports," IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Tokyo, Japan, June 2015.
- Y.Altmann, S. McLaughlin and A. Hero, "Robust Linear Spectral Unmixing using Outlier detection", in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), 2015.
- Y.Altmann and S. McLaughlin, “Nonlinear Spectral unmixing of hyperspectral images using Residual Component Analysis,”Sensor Signal Processing for Defence (SSPD) Conference, Edinburgh, U.K., Sept. 2014.
- Y. Altmann, S.McLaughlin and N. Dobigeon, "Sampling from a Gaussian distribution truncated on a simplex: A review,"
*IEEE Workshop on Statistical Signal Processing (SSP)*, Gold Coast, Australia, June 2014. - N. Dobigeon, L. Tits, B. Somers, Y. Altmann and P. Coppin, "Nonlinear unmixing of vegetated areas: a model comparison based on simulated and real hyperspectral data," in Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Lausanne, Switzerland, June 2014.
- Y. Altmann, N. Dobigeon, S. McLaughlin and J.-Y. Tourneret, "Residual component analysis of hyperspectral images for joint nonlinear unmixing and nonlinearity detection,"
*in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)*, Florence, Italy, May 2014. - Y. Altmann, N. Dobigeon , and J.-Y. Tourneret, "Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model,"
*Proc. European Signal Processing Conf. (EUSIPCO)*, Marrakech, Marroco, Sept. 2013. - Y. Altmann, N. Dobigeon, J.-Y. Tourneret and S. McLaughlin, "Nonlinear hyperspectral unmixing using Gaussian processes,"
*IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS)*, Gainesville, FL, June 2013. Note: Best Paper Award - Y. Altmann, N. Dobigeon, J.-Y. Tourneret and J. C. M. Bermudez, "A robust test for nonlinear mixture detection in hyperspectral images,"
*in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)*, Vancouver, Canada, 2013, to appear. - Y. Altmann, N. Dobigeon and J.-Y. Tourneret , "Detecting nonlinear mixtures in hyperspectral images,"
*IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS)*, Shangai, China, June 2012. - Y. Altmann, N. Dobigeon, S. McLaughlin and J.-Y. Tourneret, "Nonlinear unmixing of hyperspectral images using Gaussian processes," in
*Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)*, Kyoto, Japan, March 2012, pp. 1249-1252. - Y. Altmann, N. Dobigeon, S. McLaughlin and J.-Y. Tourneret , "Nonlinear unmixing of hyperspectral images using radial basis functions and orthogonal least squares",
*IEEE Int.Geoscience and Remote Sensing Symp. (IGARSS)*, Vancouver, Canada, July 2011, pp. 1151-1154. - Y. Altmann, A. Halimi, N. Dobigeon and J.-Y. Tourneret , "A post nonlinear mixing model for hyperspectral images unmixing",
*IEEE Int.Geoscience and Remote Sensing Symp. (IGARSS),*Vancouver, Canada, July 2011, pp. 1882-1885. - A. Halimi, Y. Altmann, N. Dobigeon, and J.-Y. Tourneret, "Unmixing hyperspectral images using the generalized bilinear model," in
*Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS)*, Vancouver, Canada, July 2011, pp. 1886-1889. - A. Halimi, Y. Altmann, N. Dobigeon and J.-Y. Tourneret, "Nonlinear unmixing of hyperspectral images using a generalized bilinear model,"
*IEEE Workshop on Statistical Signal Processing (SSP)*, Nice, France, June 2011, pp. 413-416. - Y. Altmann, N. Dobigeon and J.-Y. Tourneret , "Bilinear models for nonlinear unmixing of hyperspectral images ",
*IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)*, Lisbon, Portugal, June 2011, pp. 1-4. - Y. Altmann, A. Halimi, N. Dobigeon and J.-Y. Tourneret, "Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery,"
*IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP)*, Prague, Czech Republic, May 2011, pp. 1009-1012.

**National conference papers**

- Y. Altmann, N. Dobigeon, Steve McLaughlin and J.-Y. Tourneret, "Démélange non linéaire d'images hyperspectrales à l'aide de fonctions radiales de base et de moindres carrés orthogonaux,"
*Actes du XXIIIième Colloque GRETSI*, Bordeaux, France, Sept. 2011, in French.

**Theses**

- Y. Altmann, "Nonlinear unmixing of hyperspectral images," PhD. Thesis, INP TOULOUSE, October 2013