421 citations · 1.6k across the 35 of their papers we have counts for
5 papers · 1 filter
Lidar waveform based analysis of depth images constructed using sparse single-photon data
Yoann Altmann, Ximing Ren, Aongus McCarthy +2
This paper presents a new Bayesian model and algorithm used for depth and intensity profiling using full waveforms from the time-correlated single photon counting (TCSPC) measureme…
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…
Fast unsupervised Bayesian image segmentation with adaptive spatial regularisation
Marcelo Pereyra, Steve McLaughlin
This paper presents a new Bayesian estimation technique for hidden Potts-Markov random fields with unknown regularisation parameters, with application to fast unsupervised K-class…
Robust Linear Spectral Unmixing using Anomaly Detection
Yoann Altmann, Steve McLaughlin, Alfred Hero
This paper presents a Bayesian algorithm for linear spectral unmixing of hyperspectral images that accounts for anomalies present in the data. The model proposed assumes that the p…
Spectral unmixing of Multispectral Lidar signals
Yoann Altmann, Andrew Wallace, Steve McLaughlin
In this paper, we present a Bayesian approach for spectral unmixing of multispectral Lidar (MSL) data associated with surface reflection from targeted surfaces composed of several…