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舰船尾迹图像自适应消噪方法研究
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作者 李晶 《舰船科学技术》 北大核心 2018年第6X期64-66,共3页
普通船舶尾迹图像中噪点所占比重过大,常导致图像失真现象的发生。为解决此问题,提出基于船舶尾迹图像的新型自适应消噪方法。通过航向参数估算、航速参数估算2个步骤,完成基于尾迹图像的船舶参数估算。通过时域图像的自适应消噪、邻域... 普通船舶尾迹图像中噪点所占比重过大,常导致图像失真现象的发生。为解决此问题,提出基于船舶尾迹图像的新型自适应消噪方法。通过航向参数估算、航速参数估算2个步骤,完成基于尾迹图像的船舶参数估算。通过时域图像的自适应消噪、邻域图像的自适应消噪、消噪可信比的确定3个步骤,完成新型自适应消噪方法的搭建。模拟方法运行环境,设计对比实验结果表明,应用新型消噪方法后的船舶尾迹图像中,噪点所占比重得到有效控制,图像失真现象的发生几率,也随之大幅下降。 展开更多
关键词 尾迹图像 自适应方法 舰船消噪 航向参数 航速参数 时域图像 邻域图像 消噪可信比
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A Hybrid Firefly Algorithm for Optimizing Fractional Proportional-Integral-Derivative Controller in Ship Steering 被引量:1
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作者 薛晗 邵哲平 +2 位作者 潘家财 赵强 马峰 《Journal of Shanghai Jiaotong university(Science)》 EI 2016年第4期419-423,共5页
In this paper, a new algorithm which integrates the powerful firefly Mgorithm (FA) and the ant colony optimization (ACO) has been used in tracking control of ship steering for optimization of fractional-order prop... In this paper, a new algorithm which integrates the powerful firefly Mgorithm (FA) and the ant colony optimization (ACO) has been used in tracking control of ship steering for optimization of fractional-order proportional-integral-derivative (FOPID) controller gains. Particle swarm optimization (PSO) algorithm is also used to optimize FOPID controllers, and their performances are compared. It is found that FA optimized FOPID controller gives better performance than others. Sensitivity analysis has been carried out to see the robustness of optimum FOPID gains obtained at nominal conditions to wide changes in system parameters, and the optimum FOPID gains need not be reset for wide changes in system parameters. 展开更多
关键词 firefly algorithm (FA) fractional-order proportional-integral-derivative (FOPID) ant colony optimization (ACO) tracking control ship steering
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