Monte Carlo Simulation with Experimental Research about Underwater Transmission and Imaging of Laser

Attenuation of the laser beam in underwater transmission and detection due to absorption and scattering results in a rapid reduction in energy and blurring of the image. By combining the bidirectional reflectivity distribution function (BRDF) with the Monte Carlo (MC) method, a full-link underwater...

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Main Authors: Shouchuan Guo, Yan He, Yongqiang Chen, Weibiao Chen, Qi Chen, Yifan Huang
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/18/8959
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author Shouchuan Guo
Yan He
Yongqiang Chen
Weibiao Chen
Qi Chen
Yifan Huang
author_facet Shouchuan Guo
Yan He
Yongqiang Chen
Weibiao Chen
Qi Chen
Yifan Huang
author_sort Shouchuan Guo
collection DOAJ
description Attenuation of the laser beam in underwater transmission and detection due to absorption and scattering results in a rapid reduction in energy and blurring of the image. By combining the bidirectional reflectivity distribution function (BRDF) with the Monte Carlo (MC) method, a full-link underwater imaging process model was established which comprehensively investigated the influence of water quality, transmission distance and target characteristics on imaging performance. In order to describe the transmission process of the light more accurately, by adding particles with both absorption and scattering functions in the medium, the Mie scattering theory was employed to simulate the real channel. Moreover, while setting the gate width, the pre-calibrated detector response curve was employed to build a corresponding relationship between the image grayscale and the detector collection energy, aiming to simulate the working mode of the detector in the experiment. In various imaging scenarios, the maximum relative errors between the simulated images and experimental results were within 30%, which proved the correctness of the imaging simulation model and the feasibility of the imaging MC (IMC) method to evaluate the quality of whole imaging process.
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spelling doaj.art-79d3cafde838464c950d06de23e240112023-11-23T14:50:49ZengMDPI AGApplied Sciences2076-34172022-09-011218895910.3390/app12188959Monte Carlo Simulation with Experimental Research about Underwater Transmission and Imaging of LaserShouchuan Guo0Yan He1Yongqiang Chen2Weibiao Chen3Qi Chen4Yifan Huang5Key Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaKey Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaKey Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaKey Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaKey Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaKey Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaAttenuation of the laser beam in underwater transmission and detection due to absorption and scattering results in a rapid reduction in energy and blurring of the image. By combining the bidirectional reflectivity distribution function (BRDF) with the Monte Carlo (MC) method, a full-link underwater imaging process model was established which comprehensively investigated the influence of water quality, transmission distance and target characteristics on imaging performance. In order to describe the transmission process of the light more accurately, by adding particles with both absorption and scattering functions in the medium, the Mie scattering theory was employed to simulate the real channel. Moreover, while setting the gate width, the pre-calibrated detector response curve was employed to build a corresponding relationship between the image grayscale and the detector collection energy, aiming to simulate the working mode of the detector in the experiment. In various imaging scenarios, the maximum relative errors between the simulated images and experimental results were within 30%, which proved the correctness of the imaging simulation model and the feasibility of the imaging MC (IMC) method to evaluate the quality of whole imaging process.https://www.mdpi.com/2076-3417/12/18/8959Monte CarloMie scatteringrange-gated imaginglidar
spellingShingle Shouchuan Guo
Yan He
Yongqiang Chen
Weibiao Chen
Qi Chen
Yifan Huang
Monte Carlo Simulation with Experimental Research about Underwater Transmission and Imaging of Laser
Applied Sciences
Monte Carlo
Mie scattering
range-gated imaging
lidar
title Monte Carlo Simulation with Experimental Research about Underwater Transmission and Imaging of Laser
title_full Monte Carlo Simulation with Experimental Research about Underwater Transmission and Imaging of Laser
title_fullStr Monte Carlo Simulation with Experimental Research about Underwater Transmission and Imaging of Laser
title_full_unstemmed Monte Carlo Simulation with Experimental Research about Underwater Transmission and Imaging of Laser
title_short Monte Carlo Simulation with Experimental Research about Underwater Transmission and Imaging of Laser
title_sort monte carlo simulation with experimental research about underwater transmission and imaging of laser
topic Monte Carlo
Mie scattering
range-gated imaging
lidar
url https://www.mdpi.com/2076-3417/12/18/8959
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