Single-Cavity Dual-Comb Mueller Polarimetry for Material-Aware LiDAR
- 1Aston University , , ,
- 2University of Warith Al-Anbiyaa , , Karbala Road , ,
Abstract
We demonstrate a single-cavity dual-comb Mueller-matrix polarimetric LiDAR that rapidly retrieves full 4 × 4 Mueller matrices without external polarization-state generators or polarization-state analyzers. The key advance is that the intrinsic polarization beating of the polarization-multiplexed dual-combs from the single source provides a self-scanning incident Stokes-state basis, replacing the sequential polarization-state generation normally required in active Mueller polarimetry. The recovered Mueller matrices are decomposed into physically interpretable descriptors, including diattenuation, polarizance, retardance, depolarization, and polarimetric-purity indices, to construct a multidimensional material-fingerprint space. Experiments on aluminum, wood, plastic, and mirror targets show clear separation of material classes in this physics-based feature space. Combining convex-hull analysis with machine-learning classification yields 93.75% accuracy. These results establish dual-comb Mueller-matrix polarimetry as a compact and practical framework for material-aware remote sensing and other applications requiring interpretable polarization contrast.
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BibTeX
@article{kbashi2026singlecavity,
title = {{Single-Cavity Dual-Comb Mueller Polarimetry for Material-Aware LiDAR}},
author = {Hani J. Kbashi and Sergey Sergeyev},
journal = {ACS omega},
year = {2026},
month = oct,
doi = {10.1021/acsomega.6c08407},
url = {https://europepmc.org/article/PMC/PMC13670291},
note = {CC BY},
}
RIS
TY - JOUR
TI - Single-Cavity Dual-Comb Mueller Polarimetry for Material-Aware LiDAR
AU - Hani J. Kbashi
AU - Sergey Sergeyev
PY - 2026
DA - 2026/10/01
JO - ACS omega
DO - 10.1021/acsomega.6c08407
UR - https://europepmc.org/article/PMC/PMC13670291
AB - We demonstrate a single-cavity dual-comb Mueller-matrix polarimetric LiDAR that rapidly retrieves full 4 × 4 Mueller matrices without external polarization-state generators or polarization-state analyzers. The key advance is that the intrinsic polarization beating of the polarization-multiplexed dual-combs from the single source provides a self-scanning incident Stokes-state basis, replacing the sequential polarization-state generation normally required in active Mueller polarimetry. The recovered Mueller matrices are decomposed into physically interpretable descriptors, including diattenuation, polarizance, retardance, depolarization, and polarimetric-purity indices, to construct a multidimensional material-fingerprint space. Experiments on aluminum, wood, plastic, and mirror targets show clear separation of material classes in this physics-based feature space. Combining convex-hull analysis with machine-learning classification yields 93.75% accuracy. These results establish dual-comb Mueller-matrix polarimetry as a compact and practical framework for material-aware remote sensing and other applications requiring interpretable polarization contrast.
SN - 2470-1343
ER -