Enhanced defect sensing technology in turbid water environments using multi-beam sonar
In this paper, we report a novel defect perception technology utilizing multi-beam sonar for applications in turbid water environments. Our goal is to improve the precision and speed of identifying target image defects. We categorize the target image recognition dataset following specific guidelines...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Measurement: Sensors |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917424007815 |
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| _version_ | 1832586193565384704 |
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| author | Wenhui Wang Yikai Li Rufei He Yao Li |
| author_facet | Wenhui Wang Yikai Li Rufei He Yao Li |
| author_sort | Wenhui Wang |
| collection | DOAJ |
| description | In this paper, we report a novel defect perception technology utilizing multi-beam sonar for applications in turbid water environments. Our goal is to improve the precision and speed of identifying target image defects. We categorize the target image recognition dataset following specific guidelines and devise a target image imaging model customized for the distinct characteristics of turbid water settings. By employing the weighted time average (WMT) algorithm, we calculate the time window for each beam within the water environment. Moreover, we utilize the phase difference sequence method to enhance target image details in turbid water, and leverage the time of arrival (TOA) estimation method to suppress background noise and sidelobes. Through the implementation of a dynamic detection threshold, our technology facilitates defect perception in turbid water environments using multi-beam sonar. Experimental results demonstrate that this method achieves an accuracy of 96.05 % in recognizing image defects in turbid water environments, significantly enhancing both the accuracy and efficiency of defect recognition. It also overcomes the typical challenges of underwater detection in turbid and low-light conditions. |
| format | Article |
| id | doaj-art-4c78fac1f75f4a2a84618e720e20e099 |
| institution | Kabale University |
| issn | 2665-9174 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Measurement: Sensors |
| spelling | doaj-art-4c78fac1f75f4a2a84618e720e20e0992025-01-26T05:04:53ZengElsevierMeasurement: Sensors2665-91742025-02-0137101805Enhanced defect sensing technology in turbid water environments using multi-beam sonarWenhui Wang0Yikai Li1Rufei He2Yao Li3Corresponding author.; CSG PGC Power Storage Research Institute, Guangzhou 510635, ChinaCSG PGC Power Storage Research Institute, Guangzhou 510635, ChinaCSG PGC Power Storage Research Institute, Guangzhou 510635, ChinaCSG PGC Power Storage Research Institute, Guangzhou 510635, ChinaIn this paper, we report a novel defect perception technology utilizing multi-beam sonar for applications in turbid water environments. Our goal is to improve the precision and speed of identifying target image defects. We categorize the target image recognition dataset following specific guidelines and devise a target image imaging model customized for the distinct characteristics of turbid water settings. By employing the weighted time average (WMT) algorithm, we calculate the time window for each beam within the water environment. Moreover, we utilize the phase difference sequence method to enhance target image details in turbid water, and leverage the time of arrival (TOA) estimation method to suppress background noise and sidelobes. Through the implementation of a dynamic detection threshold, our technology facilitates defect perception in turbid water environments using multi-beam sonar. Experimental results demonstrate that this method achieves an accuracy of 96.05 % in recognizing image defects in turbid water environments, significantly enhancing both the accuracy and efficiency of defect recognition. It also overcomes the typical challenges of underwater detection in turbid and low-light conditions.http://www.sciencedirect.com/science/article/pii/S2665917424007815Multi beam sonarDefect perceptionSensing technologyMultiple feature recognitionTarget information enhancement |
| spellingShingle | Wenhui Wang Yikai Li Rufei He Yao Li Enhanced defect sensing technology in turbid water environments using multi-beam sonar Measurement: Sensors Multi beam sonar Defect perception Sensing technology Multiple feature recognition Target information enhancement |
| title | Enhanced defect sensing technology in turbid water environments using multi-beam sonar |
| title_full | Enhanced defect sensing technology in turbid water environments using multi-beam sonar |
| title_fullStr | Enhanced defect sensing technology in turbid water environments using multi-beam sonar |
| title_full_unstemmed | Enhanced defect sensing technology in turbid water environments using multi-beam sonar |
| title_short | Enhanced defect sensing technology in turbid water environments using multi-beam sonar |
| title_sort | enhanced defect sensing technology in turbid water environments using multi beam sonar |
| topic | Multi beam sonar Defect perception Sensing technology Multiple feature recognition Target information enhancement |
| url | http://www.sciencedirect.com/science/article/pii/S2665917424007815 |
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