基于改进区域生长法的X波段雷达图像处理  

X-Band Radar Image Processing Based on Improved Region Growing Method

作　　者：刘帅武 王大志[1,2] 左少燕 锁刘佳 王骁 赵永清[1] 刘德旺 吴锋 Liu Shuaiwu;Wang Dazhi;Zuo Shaoyan;Suo Liujia;Wang Xiao;Zhao Yongqing;Liu Dewang;Wu Feng(School of Mechanical Engineering,Dalian University of Technology,Dalian 116086,Liaoning,China;State Key Laboratory of HighPerformance Precision Manufacturing,Dalian 116086,Liaoning,China;PLA Dalian Naval Academy,Dalian 116013,Liaoning,China;School of Aeronautics and Astronautics,Dalian University of Technology,Dalian 116086,Liaoning,China)

机构地区：[1]大连理工大学机械工程学院,辽宁大连116086 [2]高性能精密制造全国重点实验室,辽宁大连116086 [3]中国人民解放军海军大连舰艇学院,辽宁大连116013 [4]大连理工大学力学与航空航天学院,辽宁大连116086

出　　处：《光学学报》2024年第24期225-234,共10页Acta Optica Sinica

基　　金：中央高校基本科研业务费(DUT22LAB405,DUT22QN227)。

摘　　要：提出一种基于改进区域生长法的X波段雷达图像处理方法。该方法针对雷达海表面回波图像中的目标物干扰进行处理,通过目标物干扰识别、目标物干扰修复,还原具有清晰海浪纹理且无目标物干扰的雷达海表面回波图像。最后,采用处理后的X波段雷达图像进行深度卷积神经网络海浪参数反演,反演结果显示,有效波高的平均相对误差减少了43%,均方根误差减少了37%,相关系数提升了2%。所提方法能够有效提高海浪参数的反演精度。Objective The Xband navigation radar offers advantages such as high resolution,low attenuation,and a wide detection range,which makes it suitable for wave parameter inversion.Compared to traditional methods,deep learning approaches can uncover overlooked factors and effectively address uncertainties inherent in conventional inversion techniques.However,Xband radar images annotated with wave parameters face challenges including high acquisition costs,limited high sea state samples,and significant noise interference,which leads to suboptimal performance of deep learning models in predicting wave parameters.To address these issues,our research focuses on enhancing Xband radar image processing.By identifying and mitigating target interference in Xband radar images,we obtain highquality sample data,expand the database capacity,and enhance the accuracy and generalization capabilities of deep neural networks.Consequently,this improves the accuracy of wave parameter inversion results.Methods An improved region growing method is adopted for processing target interference in Xband radar images,which is primarily divided into two sections.The first part involves screening the areas of target interference.Initially,based on the imaging characteristics of bright areas in concentrated target interference,it determines whether there exists a potential interference area of pseudotarget in the Xband radar image.Upon identifying such areas,the seed growth point is determined for the interference area of the pseudotarget.Subsequently,the region growing method is employed to delineate the interference area of the pseudotarget.The termination conditions signal the completion of the growth process.Following final growth,the judgment of whether the grown area constitutes the interference area of the pseudotarget is made based on indicators such as average gradient,which confirms it before proceeding to the second part.The second part involves compensating for the interference area of the target,which involves four steps:image precompen

关 键 词：X波段雷达 图像处理 目标物干扰 改进区域生长法 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]