Nonlinear models have recently shown interesting properties for spectral unmixing. This paper
studies a generalized bilinear model and a hierarchical Bayesian algorithm for unmixing …

Depth and intensity profiling of targets at a range of up to 10 km is demonstrated using time-of-flight
time-correlated single-photon counting technique. The system comprised a pulsed …

This paper presents a nonlinear mixing model for hyperspectral image unmixing. The
proposed model assumes that the pixel reflectances are nonlinear functions of pure spectral …

We investigate the depth imaging of objects through various densities of different obscurants
(water fog, glycol-based vapor, and incendiary smoke) using a time-correlated single-…

Recently, time-of-flight LiDAR using the single-photon detection approach has emerged as
a potential solution for three-dimensional imaging in challenging measurement scenarios, …

We present and discuss the case for full waveform pixel and image acquisition and
processing to enable LiDAR sensors to penetrate and reconstruct 3D surface maps through …

This paper presents two new algorithms for the joint restoration of depth and reflectivity (DR)
images constructed from time-correlated single-photon counting measurements. Two …

A CMOS single-photon avalanche diode (SPAD) quanta image sensor is used to reconstruct
depth and intensity profiles when operating in a range-gated mode used in conjunction with …

This paper presents an unsupervised Bayesian algorithm for hyperspectral image unmixing,
accounting for endmember variability. The pixels are modeled by a linear combination of …

This paper presents three hyperspectral mixture models jointly with Bayesian algorithms for
supervised hyperspectral unmixing. Based on the residual component analysis model, the …