雷达科学与技术2025，Vol.23Issue(5)：491-502,12.DOI:10.3969/j.issn.1672-2337.2025.05.003
基于双通道图特征联合的海面小目标检测
Sea-Surface Small Target Detection Based on Joint Graph Features in Dual Channels
摘要
Abstract
Currently,sea-surface small targets have become the focus and difficulty of marine radar detection.The existing detection methods are limited to the use of unilateral information such as radar echo amplitude or spectrum,making it difficult to effectively detect small targets.Thus,a sea-surface small target detection method using dual-chan-nel joint graph features(DC-JGF)is proposed in this paper.Firstly,the time-domain phase sequence and the frequency-domain amplitude sequence are extracted from the radar complex echo sequence to generate the time-frequency domain dual channel.In each channel,graphs are generated separately to provide rich correlation information.Secondly,in the time domain channel,the largest and the second-largest eigenvalues of graph Laplacian matrix are fused as the first fea-ture to evaluate the graph density.In the frequency domain channel,by extracting non-zero elements from the diagonal of the degree matrix,the entropy value is calculated as the second feature to measure the dispersion of the vertex distri-bution of the graph.Then,the two features are used as detection statistics to determine whether they fall within the deci-sion region given by the convex hull algorithm with target guidance.The detection results are obtained.Finally,experi-mental results using measured data demonstrate that the proposed detector can achieve robust and efficient detection performance in complex detection environments.关键词
海杂波/目标检测/双通道/连通图/特征联合Key words
sea clutter/target detection/dual channels/connected graph/feature fusion分类
电子信息工程引用本文复制引用
施赛楠,姜苏桐,汪佳俊,李焘..基于双通道图特征联合的海面小目标检测[J].雷达科学与技术,2025,23(5):491-502,12.基金项目
国家自然科学基金(No.62201184) （No.62201184）
江苏省"双创团队"资助项目(No.JSSCTD202308) （No.JSSCTD202308）
