421 citations · 1.6k across the 35 of their papers we have counts for
6 papers · 1 filter
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…
A Bayesian approach to denoising of single-photon binary images
Yoann Altmann, Reuben Aspden, Miles Padgett +1
This paper discusses new methods for processing images in the photon-limited regime where the number of photons per pixel is binary. We present a new Bayesian denoising method for…
Object Depth Profile and Reflectivity Restoration from Sparse Single-Photon Data Acquired in Underwater Environments
Abderrahim Halimi, Aurora Maccarone, Aongus McCarthy +2
This paper presents two new algorithms for the joint restoration of depth and reflectivity (DR) images constructed from time-correlated single-photon counting (TCSPC) measurements.…
Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodelling Effects
Abderrahim Halimi, Jose Bioucas-Dias, Nicolas Dobigeon +2
This paper presents two novel hyperspectral mixture models and associated unmixing algorithms. The two models assume a linear mixing model corrupted by an additive term whose expre…
Bayesian Filtering of Smooth Signals: Application to Altimetry
Abderrahim Halimi, Gerald S. Buller, Steve McLaughlin +1
This paper presents a novel Bayesian strategy for the estimation of smooth signals corrupted by Gaussian noise. The method assumes a smooth evolution of a succession of continuous…
Robust Bayesian target detection algorithm for depth imaging from sparse single-photon data
Yoann Altmann, Ximing Ren, Aongus McCarthy +2
This paper presents a new Bayesian model and associated algorithm for depth and intensity profiling using full waveforms from time-correlated single-photon counting (TCSPC) measure…