基于灰度共生矩阵的航海雷达图像海面风向反演算法  

An algorithm of sea surface wind direction inversion based on Gray level co-occurrence matrix from marine radar images

作　　者：王慧 于大涛[2] 李诗语 邱海洋 朱志宇[3] 智鹏飞 WANG Hui;YU Datao;LI Shiyu;QIU Haiyang;ZHU Zhiyu;ZHI Pengfei(School of Naval Architecture and Ocean Engineering,Guangzhou Maritime University,Guangzhou 510700,China;National Marine EnvironmentalMonitoring Center,Dalian 116023,China;School of Automation,Jiangsu University of Science and Technology,Zhenjiang 212000,China)

机构地区：[1]广州航海学院低空装备与智能控制学院,广东广州510700 [2]国家海洋环境监测中心,辽宁大连116023 [3]江苏科技大学自动化学院,江苏镇江212000

出　　处：《海洋环境科学》2025年第1期135-144,共10页Marine Environmental Science

基　　金：国家青年科学基金项目(41906154,52101358);江苏省重点研发计划社会发展项目(BE2022783);河南省教育厅高等学校重点科研项目(21A590001);安徽省教育厅高校科研重点项目(2023AH051547);广东省自然科学基金(青年提升项目,2024A1515030159)。

摘　　要：针对现有航海雷达图像空间域反演海面风向算法的缺陷,本文提出一种基于灰度共生矩阵角度估计的海面风向反演算法。首先,对小尺度风条纹特征所有像素点进行分类,获取优势像素类别。其次,利用高斯滤波方法获取主要趋势所在像素,并对其进行再分配。最后,利用灰度共生矩阵进行角度估计,根据小尺度风条纹与海面风向关系确定出海面风向信息。在进行计算时矩阵的空间分布发生变化,自动解决了海面风向反演的180°模糊问题。为了验证算法的有效性,本文利用东海实测海洋数据开展实验,结果显示本文算法风向反演结果与参考风向的相关系数达到0.93,均方根误差仅为6.05°,并且该算法有效降低了降雨对风向反演过程的影响,具有很好的工程应用能力。This paper presents an algorithm for retrieving sea surface wind direction,addressing the limitations of existing methods in the spatial domain of marine radar images.Initially,it categorizes all pixel points based on wind streak features in polar coordinate sea surface static feature images.Subsequently,the Gaussian filtering method is applied to identify pixels with the main trend and redistribute them.Finally,employing the gray co-occurrence matrix for angle estimation,the algorithm determines sea surface wind direction based on the relationship between small-scale wind streak and sea surface wind direction.The spatial distribution change in the gray co-occurrence matrix automatically resolves the 180°ambiguity problem in sea surface wind direction inversion.Experimental validation using measured ocean data from the East China Sea demonstrates the effectiveness of proposed algorithm,with a correlation coefficient of 0.93 and a root mean square error of only 6.05°.Furthermore,the algorithm proves capable of mitigating the impact of rainfall on the wind direction retrieving process,confirming its strong engineering application potential.

关 键 词：灰度共生矩阵 高斯滤波 海面风向 航海雷达图像 180°模糊问题 

分 类 号：TN957.52[电子电信—信号与信息处理]