Lidar bathymetry over 140 m with polarization noise suppression

Abstract Lidar provides unique capabilities for integrated land-sea surveying, delivering highly efficient and accurate bathymetric and topographic measurements. However, depth challenges remain for existing lidar systems due to the weak signal of water bottom and interference from background noise. Here, we demonstrate, to the best of our knowledge, the deepest detectable depth over 140 m ever reported through lidar bathymetry in the South China Sea. Through a comprehensive lidar emulator, key system parameters were optimized to enhance the bottom signal with a 486 nm laser. Additionally, the emulator formulated the polarization detection to suppress the background noise including dark counts and water column backscatter, owing to their polarized differences from bottom signals. Experimental results demonstrated that the SNR enhancement of cross-polarized signals is 1.6 times that of the total signals at depths exceeding 100 m. Meanwhile, 68.7% of the background noise was suppressed by utilization of the cross-polarized channel. The lidar bathymetric data after multiple scattering corrections showed good agreement with shipborne Acoustic Doppler Current Profiler measurements, with a root mean square relative deviation (RMSRD) of 5.23%. The research offers implications for filling knowledge gaps across continental shelves and delivers new insights for improving seafloor monitoring and benthic mapping.

Authors

Institutions

Publication Details

Journal
PhotoniX
Published
2026-03-13
DOI
https://doi.org/10.1186/s43074-026-00231-9
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lidar bathymetry over 140 m with polarization noise suppression

Xueping Wan, Antoine Collin, Qiuling Gu, Daniel Ierodiaconou et al.
PhotoniX
Remote Sensing and LiDAR Applications
article

Lidar bathymetry over 140 m with polarization noise suppression

Xueping Wan, Antoine Collin, Qiuling Gu, Daniel Ierodiaconou, Zhewei Fu, Mingzhu Yuan, Jinghong Xu, Qun Liu, Bingyi Liu, Weibiao Chen, Xiaoquan Song, Han Zhang, Peituo Xu, Yan He, Chong Liu, Lan Wu, Hongkai Zhao, Dong Liu, Yudi Zhou, Ziwei Yao, Yatong Chen, Peng Chen
article en

Abstract

Abstract Lidar provides unique capabilities for integrated land-sea surveying, delivering highly efficient and accurate bathymetric and topographic measurements. However, depth challenges remain for existing lidar systems due to the weak signal of water bottom and interference from background noise. Here, we demonstrate, to the best of our knowledge, the deepest detectable depth over 140 m ever reported through lidar bathymetry in the South China Sea. Through a comprehensive lidar emulator, key system parameters were optimized to enhance the bottom signal with a 486 nm laser. Additionally, the emulator formulated the polarization detection to suppress the background noise including dark counts and water column backscatter, owing to their polarized differences from bottom signals. Experimental results demonstrated that the SNR enhancement of cross-polarized signals is 1.6 times that of the total signals at depths exceeding 100 m. Meanwhile, 68.7% of the background noise was suppressed by utilization of the cross-polarized channel. The lidar bathymetric data after multiple scattering corrections showed good agreement with shipborne Acoustic Doppler Current Profiler measurements, with a root mean square relative deviation (RMSRD) of 5.23%. The research offers implications for filling knowledge gaps across continental shelves and delivers new insights for improving seafloor monitoring and benthic mapping.

PhotoniXVol. 7(1)
Tata Institute of Fundamental Research (IN), Deakin University (AU), École Pratique des Hautes Études (FR), Zhejiang University of Science and Technology (CN), Ministry of Natural Resources (CN), WuXi AppTec (China) (CN), Second Institute of Oceanography (CN), China National Environmental Monitoring Center (CN), Shanghai Institute of Optics and Fine Mechanics (CN), Dahua Technology (China) (CN), National Marine Environmental Monitoring Center, Ocean University of China (CN), Zhejiang University (CN)
National Natural Science Foundation of China, Technische Universität Dresden, Tartu Ülikool, Russian Academy of Sciences, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities, Natural Science Foundation of Zhejiang Province
Life below water
Openalex Percentile: Top 35%
Remote Sensing and LiDAR Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.