基于Toeplitz矩阵特征值分解的SAR图像舰船目标检测方法  被引量:6

Ship Target Detection Method in SAR Imagery Based on Eigenvalue Decomposition of the Toeplitz Matrix

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作  者:谢兆哲 程永强 吴昊[1] 王宏强[1] XIE Zhaozhe;CHENG Yongqiang;WU Hao;WANG Hongqiang(College of Electronic Science,National University of Defense Technology,Changsha,Hunan 410073,China)

机构地区:[1]国防科技大学电子科学学院,湖南长沙410073

出  处:《信号处理》2023年第3期496-504,共9页Journal of Signal Processing

基  金:国家自然科学基金(61871472)。

摘  要:合成孔径雷达(SAR)图像舰船目标检测一直是海洋监测领域的重要手段。经典的恒虚警率(CFAR)检测依赖于分布模型及多参数的准确估计,难以适应复杂多变的海面背景。新兴的信息几何舰船检测方法挖掘了目标与杂波的统计差异,实现舰船的显著性表示,但依然受限于背景杂波的精确建模。考虑到现有方法的局限性,本文提出了一种基于Toeplitz矩阵特征值分解的SAR图像舰船目标检测算法。在无需寻求背景杂波分布模型的前提下,通过构建Toeplitz矩阵,以其特征值均值为检验统计量,充分获取目标与背景杂波的差异。在高分三号卫星和TerraSAR-X卫星实测SAR图像上的实验结果证明,相比于现有的多种典型方法,本文方法取得了更优的检测性能与更快的计算速度。Ship target detection in synthetic aperture radar(SAR)imagery has always been an important means in the field of maritime surveillance.Classical constant false alarm rate(CFAR)detection relies on distribution models and accurate estimation of multiple parameters,making it difficult to adapt to complex and variable sea surface backgrounds.Emerging information geometry ship detection methods,although exploiting the statistical differences between targets and clutter to achieve a salient representation of the ship,are still limited by the accurate modeling of background clutter.Considering the limitations of existing methods,this paper proposes an algorithm based on eigenvalue decomposition of the Toeplitz matrix for ship target detection in SAR imagery.Without seeking a model of the background clutter distribution,the difference between the target and the background clutter is adequately obtained by constructing a Toeplitz matrix with its eigenvalue mean as the test statistic.The experimental results on the measured SAR images from the Gaofen-3 and TerraSAR-X satellites demonstrate that our method achieves better detection performance and faster computational speed compared to a variety of typical methods.

关 键 词:合成孔径雷达(SAR) TOEPLITZ矩阵 特征值均值 舰船检测 

分 类 号:TN957.51[电子电信—信号与信息处理]

 

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