3 papers
eess.IV2021
Robust and Guided Bayesian Reconstruction of Single-Photon 3D Lidar Data: Application to Multispectral and Underwater Imaging
Abderrahim Halimi, Aurora Maccarone, Robert Lamb +2
3D Lidar imaging can be a challenging modality when using multiple wavelengths, or when imaging in high noise environments (e.g., imaging through obscurants). This paper presents a…
stat.AP2016
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…
stat.CO2016
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.…