摘要
海上船舶的通行安全与规范管理十分重要,而在复杂环境下对海上或出入港船舶的精准识别并据此做出的决策行为是其中的关键环节。基于此,本文构建了面向海上船舶识别的海上智能系统。该智能系统集成智能图像处理组件,对区域内出现的船舶类型进行监测,可智能识别非法捕捞船等异常目标,并可实现相关样本制作、模型训练/测试及识别结果分析与共享等多种功能。
The safety and standard management of offshore ships are extremely important,and the precise identification of offshore ships or in and out of ports and the decisions made accordingly in this complex environment are the key links.Based on this,this paper proposes to construct an intelligent system for marine ship identification,which integrates intelligent image processing components to monitor the ship types appearing in the area,it can intelligently identify anomaly targets such as illegal fishing ships,and realize various functions such as relevant sample production,model training or testing,and identification results analysis and sharing.
作者
聂旭清
黄宁宁
赵钦
凌玉荣
段炼
钟石娟
柳迪
Nie Xuqing;Huang Ningning;Zhao Qin;Ling Yurong;Duan Lian;Zhong Shijuan;Liu Di(Guangdong Bangxin Data Technology Co.,Ltd.,Guangzhou 510000;Intelligence Institution of Nanning Public Security Bureau,Nanning 530001;Information Center of Guangxi Zhuang Autonomous Region,Nanning 530001;Joint Research Center for Urban Health and Security Intelligent Data Analytics,Nanning Normal University,Nanning 530001;School of Geography and Planning,Nanning Normal University,Nanning 530001;School of Natural Resources and Surveying,Nanning Normal University,Nanning 530001)
出处
《中阿科技论坛（中英文）》
2021年第12期76-79,共4页
China-Arab States Science and Technology Forum
基金
国家自然科学基金项目(41961062)
广东省海洋经济发展专项资金(GDNRC[2020]052)
广西自然科学基金项目(2018JJA150089)
广西重点研发计划项目(2019AB16010)
广西研究生教育创新计划项目(JGY2020121)
南宁师范大学2021年新工科研究与实践项目
南宁师范大学大学生创新创业训练计划项目(202110603026,202110603170)。
关键词
船舶识别
深度学习
船只监测
海上人工智能平台
Ship identification
Deep learning
Ship monitoring
Marine artificial intelligence platform
