246 citations · 1.1k across the 36 of their papers we have counts for
4 papers · 1 filter
Statistical modelling and Bayesian inversion for a Compton imaging system: application to radioactive source localisation
Cecilia Tarpau, Ming Fang, Konstantinos C. Zygalakis +3
This paper presents a statistical forward model for a Compton imaging system, called Compton imager. This system, under development at the University of Illinois Urbana Champaign,…
Sparse Linear Spectral Unmixing of Hyperspectral images using Expectation-Propagation
Zeng Li, Yoann Altmann, Jie Chen +2
This paper presents a novel Bayesian approach for hyperspectral image unmixing. The observed pixels are modeled by a linear combination of material signatures weighted by their cor…
Robust spectral unmixing of sparse multispectral Lidar waveforms using gamma Markov random fields
Yoann Altmann, Aurora Maccarone, Aongus McCarthy +4
This paper presents a new Bayesian spectral unmixing algorithm to analyse remote scenes sensed via sparse multispectral Lidar measurements. To a first approximation, in the presenc…
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…