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Article

Optimized Classification of Suspended Particles in Seawater by Dense Sampling of Polarized Light Pulses

by 1, 1,2, 1,2, 1,3,4,* and 3,5
1
Institute for Ocean Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
2
Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China
3
Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
4
Shenzhen Key Laboratory of Marine IntelliSensing and Computation, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
5
Department of Physics, Tsinghua University, Beijing 100084, China
*
Author to whom correspondence should be addressed.
Academic Editors: Maria Lepore and Ines Delfino
Sensors 2021, 21(21), 7344; https://doi.org/10.3390/s21217344
Received: 28 September 2021 / Revised: 30 October 2021 / Accepted: 3 November 2021 / Published: 4 November 2021
(This article belongs to the Special Issue Optical Sensors Technology and Applications)
Suspended particles affect the state and vitality of the marine ecosystem. In situ probing and accurately classifying the suspended particles in seawater have an important impact on ecological research and environmental monitoring. Individual measurement of the optical polarization parameters scattered by the suspended particles has been proven to be a powerful tool to classify the particulate compositions in seawater. In previous works, the temporal polarized light pulses are sampled and averaged to evaluate the polarization parameters. In this paper, a method based on dense sampling of polarized light pulses is proposed and the experimental setup is built. The experimental results show that the dense sampling method optimizes the classification and increases the average accuracy by at least 16% than the average method. We demonstrate the feasibility of dense sampling method by classifying the multiple types of particles in mixed suspensions and show its excellent generalization ability by multi-classification of the particles. Additional analysis indicates that the dense sampling method basically takes advantage of the high-quality polarization parameters to optimize the classification performance. The above results suggest that the proposed dense sampling method has the potential to probe the suspended particles in seawater in red-tide early warning, as well as sediment and microplastics monitoring. View Full-Text
Keywords: classification; suspended particles; polarized light pulses; dense sampling classification; suspended particles; polarized light pulses; dense sampling
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MDPI and ACS Style

Guo, Z.; Deng, H.; Li, J.; Liao, R.; Ma, H. Optimized Classification of Suspended Particles in Seawater by Dense Sampling of Polarized Light Pulses. Sensors 2021, 21, 7344. https://doi.org/10.3390/s21217344

AMA Style

Guo Z, Deng H, Li J, Liao R, Ma H. Optimized Classification of Suspended Particles in Seawater by Dense Sampling of Polarized Light Pulses. Sensors. 2021; 21(21):7344. https://doi.org/10.3390/s21217344

Chicago/Turabian Style

Guo, Zhiming, Hanbo Deng, Jiajin Li, Ran Liao, and Hui Ma. 2021. "Optimized Classification of Suspended Particles in Seawater by Dense Sampling of Polarized Light Pulses" Sensors 21, no. 21: 7344. https://doi.org/10.3390/s21217344

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