Bayesian estimation of smooth altimetric parameters: Application to conventional and delay/Doppler altimetry

A Halimi, C Mailhes, JY Tourneret… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
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 …

Toward automated non-destructive diagnosis of chloride attack on concrete structures by near infrared spectroscopy

A Watanabe, S Tokuda, Y Mizuta, S Miyamoto… - … and Building Materials, 2021 - Elsevier
This is a fundamental study of a non-destructive and contactless equipment to evaluate the
chloride ion on concrete, with near infrared spectroscopy. Non-destructive measurements on …

Time-Resolved Observation of the Solvation Dynamics of a Rydberg Excited Molecule Deposited on an Argon Cluster. II. DABCO at Long Time Delays

S Awali, JM Mestdagh, MA Gaveau… - The Journal of …, 2021 - ACS Publications
The real-time dynamics of DABCO–argon clusters is investigated in a femtosecond pump–
probe experiment where the pump excites DABCO to the S1 state within the argon cluster …

Time resolved observation of the solvation dynamics of a Rydberg excited molecule deposited on an argon cluster-I: DABCO☆ at short times

S Awali, L Poisson, B Soep, MA Gaveau… - Physical Chemistry …, 2014 - pubs.rsc.org
This paper is a joint experimental and theoretical approach concerning a molecule
deposited on a large argon cluster. The spectroscopy and the dynamics of the deposited …

Unsupervised joint decomposition of a spectroscopic signal sequence

V Mazet, S Faisan, S Awali, MA Gaveau, L Poisson - Signal Processing, 2015 - Elsevier
This paper addresses the problem of decomposing a sequence of spectroscopic signals.
Data are a series of signals modeled as a noisy sum of parametric peaks. We aim to …

Nonlinear regression using smooth Bayesian estimation

A Halimi, C Mailhes… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
This paper proposes a new Bayesian strategy for the estimation of smooth parameters from
nonlinear models. The observed signal is assumed to be corrupted by an independent and …

[PDF][PDF] Unmixing hyperspectral images accounting for temporal and spatial endmember variability

A Halimi, N Dobigeon, JY Tourneret… - Proc. European Signal …, 2015 - honeine.fr
This paper proposes an unsupervised Bayesian algorithm for unmixing successive
hyperspectral images while accounting for temporal and spatial variability of the …

Restoration of depth and intensity images using a graph laplacian regularization

A Halimi, P Connolly, X Ren, Y Altmann… - 2017 IEEE 7th …, 2017 - ieeexplore.ieee.org
This paper presents a new algorithm for the joint restoration of depth and intensity (DI)
images constructed using a gated SPAD-array imaging system. The three dimensional (3D) …

Unmixing multitemporal hyperspectral images accounting for endmember variability

A Halimi, N Dobigeon, JY Toumeret… - 2015 23rd European …, 2015 - ieeexplore.ieee.org
This paper proposes an unsupervised Bayesian algorithm for unmixing successive
hyperspectral images while accounting for temporal and spatial variability of the …

Joint Bayesian decomposition of a spectroscopic signal sequence with RJMCMC

V Mazet, S Faisan, A Massony… - 2012 IEEE Statistical …, 2012 - ieeexplore.ieee.org
This article presents a method for decomposing a sequence of spectroscopic signals into a
sum of peaks whose centers, amplitudes and widths are estimated. Since the peaks exhibit …