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Color-restoring and energy-saving imaging monitoring for intelligent offshore engineering

文献类型：期刊论文

作者Quan, Xiangqian7; Chen, Xiangzi4,6; Wei, Yucong5,7; Li, Zizheng2,3; Li, Yun1; Yan, Peng1
刊名OCEAN ENGINEERING
出版日期2024-11-01
卷号311页码:8
关键词Imaging data Machine intelligence Maintenance of offshore structures Unmanned monitoring Vision system of auto underwater vehicle
ISSN号0029-8018
DOI10.1016/j.oceaneng.2024.118951
英文摘要Images play a crucial role in artificial intelligence (AI) for offshore engineering, which provide a large amount of data for machine intelligence to ensure the safe operation and maintenance of offshore structures. However, due to the attenuation of sunlight in water or monitoring at nighttime, underwater imaging monitoring systems need a light source, which consumes a lot of energy and impacts the load capacity of an offshore monitoring system. In addition, due to the nonlinearity of attenuation at different wavelengths, underwater images generally suffer from color deviation, tending to be blue and green, which decreases the accuracy of machine learning and intelligent recognition in unmanned offshore engineering. In order to reduce energy consumption and enhance color restoration, we proposed and designed a three-detector underwater imaging system (TD&TP-UIS) based on a prism, in which three detectors were used to enhance the utilization efficiency of light, and a gated band coating was designed on the prism to enhance the color reproduction. A series of experiments were carried out in water tanks, pools, Qiandao Lake, and other places to verify the advantage of color restoration and energy saving using the TD&TP-UIS.
WOS关键词UNDERWATER ; ENHANCEMENT ; RESTORATION
资助项目Hainan Provincial Natural Science Foundation of China[120QN275] ; Hainan Provincial Natural Science Foundation of China[2019RC258] ; National key research and development program of China[2017YFC0306100] ; Key Laboratory of Space Laser Information Transmission and Detection Technology of the Chinese Academy of Sciences[KJL-2021-001] ; Scientific Instrument Developing Project of the Chinese Academy of Sciences[YJKYYQ20180067] ; Youth Innovation Promotion Association CAS[2020361] ; Science and Technology project of Sanya city[2018KS03] ; Science and Technology project of Sanya city[2017YD13]
WOS研究方向Engineering ; Oceanography
语种英语
WOS记录号WOS:001297668700001
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构Hainan Provincial Natural Science Foundation of China ; National key research and development program of China ; Key Laboratory of Space Laser Information Transmission and Detection Technology of the Chinese Academy of Sciences ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; Youth Innovation Promotion Association CAS ; Science and Technology project of Sanya city
源URL[http://ir.idsse.ac.cn/handle/183446/11423]  
专题深海工程技术部_深海视频技术研究室
通讯作者Chen, Xiangzi
作者单位1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China
2.Sun Yat sen Univ, Frontiers Sci Ctr TianQin, Gravitat Wave Res Ctr CNSA, Sch Phys & Astron, Zhuhai Campus, Zhuhai 519082, Peoples R China
3.Sun Yat sen Univ, TianQin Res Ctr Gravitat Phys, MOE Key Lab TianQin Miss, Zhuhai Campus, Zhuhai 519082, Peoples R China
4.Hainan Trop Ocean Univ, Coll Marine Sci & Technol, Sanya 572022, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
6.Hainan Trop Ocean Univ, Yazhou Bay Innovat Inst, Sanya 572022, Peoples R China
7.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya 572000, Peoples R China
推荐引用方式
GB/T 7714		 Quan, Xiangqian,Chen, Xiangzi,Wei, Yucong,et al. Color-restoring and energy-saving imaging monitoring for intelligent offshore engineering[J]. OCEAN ENGINEERING,2024,311:8.
APA Quan, Xiangqian,Chen, Xiangzi,Wei, Yucong,Li, Zizheng,Li, Yun,&Yan, Peng.(2024).Color-restoring and energy-saving imaging monitoring for intelligent offshore engineering.OCEAN ENGINEERING,311,8.
MLA Quan, Xiangqian,et al."Color-restoring and energy-saving imaging monitoring for intelligent offshore engineering".OCEAN ENGINEERING 311(2024):8.

入库方式： OAI收割

来源：深海科学与工程研究所

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