一种SAR海洋图像舰船尾迹检测与判别方法

本文针对常规Radon变换域中尾迹峰值检测的不确定性问题,提出了一种基于特征空间决策的尾迹检测算法。该算法首先门限化图像的Radon变换系数,提取出所有可能的峰值点;然后对这些相应的局部峰值的“截面”进行连续小波变换峰值匹配,再根据提取到的参数形成决策矢量在特征空间中进行决策。对仿真和实际数据处理的结果表明,该方法能有效、准确地检测到SAR图像中的舰船尾迹。

Detection and Distinguishing Method of Ship Wakes in SAR Imagery

Aim at the problem of the uncertainty in detecting the ship wake peaks in the conventional Radon transform domain, an algorithm to detect the ship wakes in SAR ocean imagery which makes decision in the feature space is developed in this paper. The algorithm extracts all possible peaks by thresholding the Radon coefficients firstly, and then perform the continuous wavelet transform to peak match for all these local peak sections, and makes decision in the feature space finally using the decision vectors formed by the extracted parameters. The simulation and real data processing results show that the algorithm is reliable and can efficiently improve the accuracy of detection.