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Research Output 2011 2019

Conference contribution

Joint spectral clustering and range estimation for 3D scene reconstruction using multispectral lidar waveforms

Altmann, Y., Maccarone, A., McCarthy, A., Buller, G. S. & McLaughlin, S., 1 Dec 2016, 2016 24th European Signal Processing Conference (EUSIPCO). IEEE, p. 513-517 5 p. (European Signal Processing Conference (EUSIPCO)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
optical radar
waveforms
methodology
reflectance
wavelengths

Linear spectral unmixing using collaborative sparse regression and correlated supports

Altmann, Y., Pereyra, M. & Dias, J. B., 23 Oct 2017, 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 8075438. (Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pixels
Markov processes

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 proceedingConference contribution

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 proceedingConference contribution

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

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 proceedingConference contribution

Bilinear Model
Hyperspectral Image
Posterior distribution
Joint Distribution
Positivity

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 proceedingConference contribution

Radial basis function networks
abundance estimation
Pixels
reflectance
pixel

On fast object detection using single-photon lidar data

Tachella, J., Altmann, Y., McLaughlin, S. & Tourneret, J-Y., 9 Sep 2019, Wavelets and Sparsity XVIII. Van De Ville, D., Van De Ville, D., Papadakis, M. & Lu, Y. M. (eds.). SPIE, 111380T. (Proceedings of SPIE; vol. 11138).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Object Detection
Lidar
Optical radar
optical radar
Photon

Patch-based sparse representation for bacterial detection

Eldaly, A. K., Altmann, Y., Akram, A., Perperidis, A., Dhaliwal, K. & McLaughlin, S., 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy, April 8-11, 2019. IEEE, p. 657-661 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Bacteria
Glossaries
Atoms

Range estimation from single-photon Lidar data using a stochastic EM approach

Altmann, Y. & McLaughlin, S., 3 Dec 2018, 2018 26th European Signal Processing Conference (EUSIPCO). IEEE, p. 1112-1116 5 p. (European Signal Processing Conference (EUSIPCO)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
optical radar
photons
profiles
waveforms
estimating

Real-time tracking of hidden objects with single-pixel detectors

Warburton, R. E., Chan, S., Gariépy, G., Altmann, Y., McLaughlin, S., Leach, J. & Faccio, D., 25 Jul 2016, Imaging Systems and Applications 2016. Optical Society of America, IT4E.2

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Photons
Pixels
Detectors
Lasers

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 proceedingConference contribution

Pixels

Restoration of Depth and Intensity Images using a Graph Laplacian Regularization

Halimi, A., Connolly, P., Ren, X., Altmann, Y., Gyongy, I., Henderson, R. K., McLaughlin, S. & Buller, G. S., 12 Mar 2018, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE, 8313136

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
pixel
histogram
restoration
statistics
laboratory

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 proceedingConference contribution

Pixels
Wavelength

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 proceedingConference contribution

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

Segmentation bayésienne d’images constantes par morceaux: cas de distorsion non-linéaire, données manquantes et bruit de Poisson

Translated title of the contribution: Bayesian segmentation of piece-wise constant images corrupted by nonlinear distortion, missing data and Poisson noiseGiovannelli, J-F. & Altmann, Y., 27 May 2019, (Accepted/In press) XXVIIème Colloque francophone de traitement du signal et des images (GRETSI 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
segmentation
sampler
pixel
metropolis

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 proceedingConference contribution

Polynomials
Pixels

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 proceedingConference contribution

Target tracking
Photons
Imaging techniques
Optical radar
Impulse response

Three-dimensional imaging under extreme conditions using single-photon counting

Buller, G. S., Halimi, A., Maccarone, A., Ren, X., Tobin, R., Connolly, P. W. R., Greener, Z. M., Altmann, Y. & McCarthy, A., 2018, CLEO: Applications and Technology 2018. Optical Society of America, AW3R.4

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Depth profiling
Photons
Imaging techniques

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 proceedingConference contribution

Pixels

Unsupervised restoration of subsampled images constructed from geometric and binomial data

Altmann, Y., McLaughlin, S. & Padgett, M. J., 12 Mar 2018, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE, p. 1-5 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Restoration
Photons
Image reconstruction
Markov processes
Monte Carlo methods
Paper

Identification of mixed sources with an organic scintillator-based radiation portal monitor

Paff, M., Di Fulvio, A., Altmann, Y., Clarke, S. & Pozzi, S. A., Jul 2017.

Research output: Contribution to conferencePaper

Open Access
File
scintillation counters
monitors
radioactive isotopes
radiation
warning systems

Restoration of intensity and depth images constructed using sparse single-photons data

Halimi, A., Altmann, Y., McCarthy, A., Ren, X., Tobin, R., Buller, G. S. & McLaughlin, S., 28 May 2016, (Accepted/In press).

Research output: Contribution to conferencePaper

Open Access
File
Restoration
Photons
Cosine transforms
Costs

Robust Markov Random Field Outlier Detection and Removal in Subsampled Images

McCool, P., Altmann, Y., Perperidis, A. & McLaughlin, S., 26 Jun 2016.

Research output: Contribution to conferencePaper

Open Access
File

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 conferencePaper

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 conferencePaper

Open Access
File
imagery
outlier