Abstract
This paper presents a new Bayesian spectral unmixing algorithm to
analyse remote scenes sensed via multispectral Lidar measurements.
To a first approximation, each Lidar waveform consists of the temporal
signature of the observed target, which depends on the wavelength
of the laser source considered and which is corrupted by Poisson
noise. When the number of spectral bands is large enough, it
becomes possible to identify and quantify the main materials in the
scene, on top of the estimation of classical Lidar-based range profiles.
Thanks to its anomaly detection capability, the proposed hierarchical
Bayesian model, coupled with an efficient Markov chain
Monte Carlo algorithm, allows robust estimation of depth images together
with abundance and outlier maps associated with the observed
3D scene. The proposed methodology is illustrated via experiments
conducted with real multispectral Lidar data.
analyse remote scenes sensed via multispectral Lidar measurements.
To a first approximation, each Lidar waveform consists of the temporal
signature of the observed target, which depends on the wavelength
of the laser source considered and which is corrupted by Poisson
noise. When the number of spectral bands is large enough, it
becomes possible to identify and quantify the main materials in the
scene, on top of the estimation of classical Lidar-based range profiles.
Thanks to its anomaly detection capability, the proposed hierarchical
Bayesian model, coupled with an efficient Markov chain
Monte Carlo algorithm, allows robust estimation of depth images together
with abundance and outlier maps associated with the observed
3D scene. The proposed methodology is illustrated via experiments
conducted with real multispectral Lidar data.
| Original language | English |
|---|---|
| Publication status | Published - 22 Aug 2016 |
| Event | 8th Workshop on Hyperspectral Image and Signal Processing 2016: Evolution in Remote Sensing - UCLA, Los Angeles, United States Duration: 21 Aug 2016 → 24 Aug 2016 Conference number: 8 |
Workshop
| Workshop | 8th Workshop on Hyperspectral Image and Signal Processing 2016 |
|---|---|
| Abbreviated title | WHISPERS 2016 |
| Country/Territory | United States |
| City | Los Angeles |
| Period | 21/08/16 → 24/08/16 |