摘要
运用现代数码技术,设计了风浪要素数值化实景监测,对近距离局域风浪进行非入侵式自动图像监测与风浪数值信息提取.在设计中采取不同于常规风浪遥感散射回波反演的方式,通过人机互动,应用相似性搜索判别原理,实现了风浪场中波峰线的自动识别与绘制,并以此为基础进行实况分析与运算,获得波长、周期、波速、波向、波龄以及波高、波陡等各项要素的统计值.针对波高与其他波浪参数无直接解析关系式问题,依据风浪非线性动力统计特性的谱模型,建立了波高逆运算函数方法,通过实验调试参数由实景监测的波长推导出波高等风浪结构要素.经实验室及室外自然条件测试,该监测系统能给出合理的观测时段的风浪要素统计特征值.
As important oceanic environment information,the wind wave elements consist of wind wave kinematics parameters and wind wave structure parameters,which are all expressed in statistic form.The wind wave measurement has been a difficult task for a long time in ocean and water monitoring.A video and digital image system is proposed in this paper to monitor wind wave in a non-intrusive and automatic way.Through a novel inversion method of wind wave image of optical light remoting,and similarity searching recognition method,the wave crest lines can be recognizd and drawn automatically on the monitoring image.According to the crest lines of wind waves,other statistic information including wave length,wave period,wave speed,wave direction,wave age,wave height and wave steepness can be calculated and analyzed.Based on the non-linear dynamic-statistic wave spectrum model and experimental coefficients,an inverse algorithm is designed and applied to calculate wave height from wave length derived from monitoring wave crest line.The lab wind-wave-current flume and open water tests indicate that the system can provide reliable information of wind wave parameters.
出处
《南京信息工程大学学报（自然科学版）》
CAS
2010年第4期344-352,共9页
Journal of Nanjing University of Information Science & Technology（Natural Science Edition）
基金
国家自然科学基金面上项目(4077-6017)
国家908海洋综合调查项目子课题(2654)
国家908扩展项目(908-01-BC21)
淮河流域气象开放基金(20080170)
南京信息工程大学科研基金项目(QD45)
物理海洋学省级精品课程(N1885009006)
南京信息工程大学中央与地方共建流体力学实验中心风波流水槽实验室项目(2007)
局校海洋气象产学研基地合作项目(2007)
关键词
风浪要素
数值实景测量
实验室风波流水槽
室外局地自然环境
风浪图像数值处理
逆运算函数
wind wave parameter
the video ＆ digital image monitoring system
the wind-wave-current flume
outdoor local nature conditions
wind-wave image processing
inverse algorithm
