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An Assessment of Waveform Processing for a Single-Beam Bathymetric LiDAR System (SBLS-1)

The single-beam bathymetric light detection and ranging (LiDAR) system 1 (SBLS-1), which is equipped with a 532-nm-band laser projector and two concentric-circle receivers for shallow- and deep-water echo signals, is a lightweight and convenient prototype instrument with low energy consumption. In t...

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Detalles Bibliográficos
Autores principales: Chen, Yifu, Le, Yuan, Wu, Lin, Li, Shuai, Wang, Lizhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571804/
https://www.ncbi.nlm.nih.gov/pubmed/36236786
http://dx.doi.org/10.3390/s22197681
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author Chen, Yifu
Le, Yuan
Wu, Lin
Li, Shuai
Wang, Lizhe
author_facet Chen, Yifu
Le, Yuan
Wu, Lin
Li, Shuai
Wang, Lizhe
author_sort Chen, Yifu
collection PubMed
description The single-beam bathymetric light detection and ranging (LiDAR) system 1 (SBLS-1), which is equipped with a 532-nm-band laser projector and two concentric-circle receivers for shallow- and deep-water echo signals, is a lightweight and convenient prototype instrument with low energy consumption. In this study, a novel LiDAR bathymetric method is utilized to achieve single-beam and dual-channel bathymetric characteristics, and an adaptive extraction method is proposed based on the cumulative standard deviation of the peak and trough, which is mainly used to extract the signal segment and eliminate system and random noise. To adapt the dual-channel bathymetric mechanism, an automatic channel-selection method was used at various water depths. A minimum half-wavelength Gaussian iterative decomposition is proposed to improve the detection accuracy of the surface- and bottom-water waveform components and ensure bathymetric accuracy and reliability. Based on a comparison between the experimental results and in situ data, it was found that the SBLS-1 obtained a bathymetric accuracy and RMSE of 0.27 m and 0.23 m at the Weifang and Qingdao test fields. This indicates that the SBLS-1 was bathymetrically capable of acquiring a reliable, high-efficiency waveform dataset. Hence, the novel LiDAR bathymetric method can effectively achieve high-accuracy near-shore bathymetry.
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spelling pubmed-95718042022-10-17 An Assessment of Waveform Processing for a Single-Beam Bathymetric LiDAR System (SBLS-1) Chen, Yifu Le, Yuan Wu, Lin Li, Shuai Wang, Lizhe Sensors (Basel) Article The single-beam bathymetric light detection and ranging (LiDAR) system 1 (SBLS-1), which is equipped with a 532-nm-band laser projector and two concentric-circle receivers for shallow- and deep-water echo signals, is a lightweight and convenient prototype instrument with low energy consumption. In this study, a novel LiDAR bathymetric method is utilized to achieve single-beam and dual-channel bathymetric characteristics, and an adaptive extraction method is proposed based on the cumulative standard deviation of the peak and trough, which is mainly used to extract the signal segment and eliminate system and random noise. To adapt the dual-channel bathymetric mechanism, an automatic channel-selection method was used at various water depths. A minimum half-wavelength Gaussian iterative decomposition is proposed to improve the detection accuracy of the surface- and bottom-water waveform components and ensure bathymetric accuracy and reliability. Based on a comparison between the experimental results and in situ data, it was found that the SBLS-1 obtained a bathymetric accuracy and RMSE of 0.27 m and 0.23 m at the Weifang and Qingdao test fields. This indicates that the SBLS-1 was bathymetrically capable of acquiring a reliable, high-efficiency waveform dataset. Hence, the novel LiDAR bathymetric method can effectively achieve high-accuracy near-shore bathymetry. MDPI 2022-10-10 /pmc/articles/PMC9571804/ /pubmed/36236786 http://dx.doi.org/10.3390/s22197681 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Yifu
Le, Yuan
Wu, Lin
Li, Shuai
Wang, Lizhe
An Assessment of Waveform Processing for a Single-Beam Bathymetric LiDAR System (SBLS-1)
title An Assessment of Waveform Processing for a Single-Beam Bathymetric LiDAR System (SBLS-1)
title_full An Assessment of Waveform Processing for a Single-Beam Bathymetric LiDAR System (SBLS-1)
title_fullStr An Assessment of Waveform Processing for a Single-Beam Bathymetric LiDAR System (SBLS-1)
title_full_unstemmed An Assessment of Waveform Processing for a Single-Beam Bathymetric LiDAR System (SBLS-1)
title_short An Assessment of Waveform Processing for a Single-Beam Bathymetric LiDAR System (SBLS-1)
title_sort assessment of waveform processing for a single-beam bathymetric lidar system (sbls-1)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571804/
https://www.ncbi.nlm.nih.gov/pubmed/36236786
http://dx.doi.org/10.3390/s22197681
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