基于SAR图像的水下运动目标探测方法

Detection method of underwater moving target based on SAR image surface characteristic ripple

为了探测合成孔径雷达(Synthetic Aperture Radar,SAR)图像中的水下运动目标,提出一种基于目标的海表面尾迹特征波纹的检测方法。先运用鲁棒性主成分分析(Robust Principal Component Analysis,RPCA)稀疏分解法对SAR图像尾迹波纹进行增强,再将恒虚警率(Constant False Alarm Rate,CFAR)思想应用于灰度归一化Hough变换检测方法以检测线性波纹特征。针对水下目标检测数据匮乏的现状,首先利用舰船尾迹的实测SAR图像对所提的基于运动目标尾迹波纹增强的局部CFAR检测方法进行验证,然后仿真不同海情、航速及潜深条件下的水下运动目标尾迹和海面的混合波纹的SAR图像,并对仿真SAR图像中目标的线性波纹特征进行检测,达到目标探测的目的。检测实验结果表明,提出的方法可有效探测水下运动目标。

In order to detect underwater moving targets in Synthetic Aperture Radar(SAR)images,a method utilizing characteristic ripple of wake on sea surface is proposed.Firstly,Robust Principal Component Analysis(RPCA)sparse decomposition method is used to enhance the wake ripple in SAR images.Then,applying the idea of Constant False Alarm rate(CFAR),a kind of Hough transform is used to detect linear ripple features.Due to the lack of underwater target SAR images data,some SAR images is simulated to obtain the mixed ripples of sea surface and wake of underwater moving target under different sea conditions,diving speeds and depths.Finally,the SAR images of ship wakes and simulated SAR images are used to verify the effectiveness of the proposed method.The experimental results of both real and simulated SAR images demonstrate the feasibility of the proposed method and the effectiveness of the simulation method of SAR images for the wake of moving underwater target.