246 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université de ToulouseFR21 papers
- Institut de Recherche en Informatique de ToulouseFR17 papers
- Institut National Polytechnique de ToulouseFR12 papers
- École Nationale Supérieure d'Électrotechnique, d'Électronique, d'Informatique, d'Hydraulique et des TélécommunicationsFR11 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Université Toulouse III - Paul SabatierFR6 papers
- Centre National d'Études SpatialesFR3 papers
- Heriot-Watt UniversityGB3 papers
- Institut Universitaire de FranceFR3 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- Thales Alenia Space (France)2 papers
- Université de Technologie de TroyesFR2 papers
21 papers
Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models -- Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops
Florian Mouret, Mohanad Albughdadi, Sylvie Duthoit +3
Missing data is a recurrent problem in remote sensing, mainly due to cloud coverage for multispectral images and acquisition problems. This can be a critical issue for crop monitor…
Outlier detection at the parcel-level in wheat and rapeseed crops using multispectral and SAR time series
Florian Mouret, Mohanad Albughdadi, Sylvie Duthoit +3
This paper studies the detection of anomalous crop development at the parcel-level based on an unsupervised outlier detection technique. The experimental validation is conducted on…
Seeing Around Corners with Edge-Resolved Transient Imaging
Joshua Rapp, Charles Saunders, Julián Tachella +7
Non-line-of-sight (NLOS) imaging is a rapidly growing field seeking to form images of objects outside the field of view, with potential applications in search and rescue, reconnais…
Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers
Julián Tachella, Yoann Altmann, Nicolas Mellado +5
Single-photon lidar has emerged as a prime candidate technology for depth imaging through challenging environments. Until now, a major limitation has been the significant amount of…
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images -- Extended Version
Corbineau Marie-Caroline, Kouamé Denis, Chouzenoux Emilie +2
Joint deconvolution and segmentation of ultrasound images is a challenging problem in medical imaging. By adopting a hierarchical Bayesian model, we propose an accelerated Markov c…
A Tensor Factorization Method for 3D Super-Resolution with Application to Dental CT
Janka Hatvani, Adrian Basarab, Jean-Yves Tourneret +2
Available super-resolution techniques for 3D images are either computationally inefficient prior-knowledge-based iterative techniques or deep learning methods which require a large…
Technical Report: A New Decision-Theory-Based Framework for Echo Canceler Control
Tales Imbiriba, José Carlos M. Bermudez, Jean-Yves Tourneret +1
A control logic has a central role in many echo cancellation systems for optimizing the performance of adaptive filters while estimating the echo path. For reliable control, accura…
A Survey of Stochastic Simulation and Optimization Methods in Signal Processing
Marcelo Pereyra, Philip Schniter, Emilie Chouzenoux +4
Modern signal processing (SP) methods rely very heavily on probability and statistics to solve challenging SP problems. SP methods are now expected to deal with ever more complex m…
Bayesian Estimation of Smooth Altimetric Parameters: Application to Conventional and Delay/Doppler Altimetry
Abderrahim Halimi, Corinne Mailhes, Jean-Yves Tourneret +1
This paper proposes a new Bayesian strategy for the smooth estimation of altimetric parameters. The altimetric signal is assumed to be corrupted by a thermal and speckle noise dist…
Estimating the Intrinsic Dimension of Hyperspectral Images Using an Eigen-Gap Approach
A. Halimi, P. Honeine, M. Kharouf +2
Linear mixture models are commonly used to represent hyperspectral datacube as a linear combinations of endmember spectra. However, determining of the number of endmembers for imag…
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…
Resource Allocation in MIMO Radar With Multiple Targets for Non-Coherent Localization
Nil Garcia, Alexander M. Haimovich, Martial Coulon +1
In a MIMO radar network the multiple transmit elements may emit waveforms that differ on power and bandwidth. In this paper, we are asking, given that these two resources are limit…
Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithm
Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia +1
This paper addresses the problem of estimating the Potts parameter B jointly with the unknown parameters of a Bayesian model within a Markov chain Monte Carlo (MCMC) algorithm. Sta…
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
José M. Bioucas-Dias, Antonio Plaza, Nicolas Dobigeon +4
Imaging spectrometers measure electromagnetic energy scattered in their instantaneous field view in hundreds or thousands of spectral channels with higher spectral resolution than…
Combining Adaptive Coding and Modulation with Hierarchical Modulation in Satcom Systems
Hugo Meric, Jérôme Lacan, Fabrice Arnal +2
We investigate the design of a broadcast system in order to maximise the throughput. This task is usually challenging due to the channel variability. Forty years ago, Cover introdu…
Modelling the Delay Distribution of Binary Spray and Wait Routing Protocol
Rémi Diana, Emmanuel Lochin
This article proposes a stochastic model to obtain the end-to-end delay law between two nodes of a Delay Tolerant Network (DTN). We focus on the commonly used Binary Spray and Wait…
Improving broadcast channel rate using hierarchical modulation
Hugo Meric, Jérôme Lacan, Fabrice Arnal +2
We investigate the design of a broadcast system where the aim is to maximise the throughput. This task is usually challenging due to the channel variability. Modern satellite commu…
Enhancing hyperspectral image unmixing with spatial correlations
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret
This paper describes a new algorithm for hyperspectral image unmixing. Most of the unmixing algorithms proposed in the literature do not take into account the possible spatial corr…
Implementation strategies for hyperspectral unmixing using Bayesian source separation
Frederic Schmidt, Albrecht Schmidt, Erwan Treguier +3
Bayesian Positive Source Separation (BPSS) is a useful unsupervised approach for hyperspectral data unmixing, where numerical non-negativity of spectra and abundances has to be ens…
ECN verbose mode: a statistical method for network path congestion estimation
Remi Diana, Emmanuel Lochin
This article introduces a simple and effective methodology to determine the level of congestion in a network with an ECN-like marking scheme. The purpose of the ECN bit is to notif…
Bayesian orthogonal component analysis for sparse representation
Nicolas Dobigeon, Jean-Yves Tourneret
This paper addresses the problem of identifying a lower dimensional space where observed data can be sparsely represented. This under-complete dictionary learning task can be formu…