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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MDPI AG
2022-09-01
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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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