基于SAR子孔径序列图像配准的海洋动态信息获取

合成孔径雷达(SAR)在海洋遥感中发挥着重要的作用。海洋的动态信息如洋流的运动和海浪的传播等是海洋信息中的重要组成部分。但是通常的SAR海洋图像信息处理是将SAR图像作为海面的瞬时状态进行处理,无法获取海洋的动态信息。该文采用子孔径分割的方法获取海面的具有连续时间间隔的序列图像,通过改进的相位相关法对序列图像间的对应部分进行亚像素级配准,获取了海面各个部分的海浪纹理信息运动的速度大小和方向。仿真实验表明改进的配准方法具有1/10像素精度和极强的噪声鲁棒性。对序列图像间相同的舰船目标,分别采用该文提出的配准法与较成熟的"尾迹法"计算的舰船速度基本一致,证明了该文方法的有效性。

Ocean Dynamic Information Acquisition Based on Matching SAR Ocean Sub-aperture Sequence Images

Synthetic Aperture Radar (SAR) plays a very important role in ocean remote sensing. Current movement and ocean wave transmission are crucial constituent part of ocean dynamic information. However, regular SAR ocean image processing treats SAR image as transient state, and can not get dynamic information. This paper gets several sequent time interval images from one image using sub-aperture division method. An optimized phase correlation method is proposed to match the corresponding parts of sequence SAR images. According to the movement quantity and direction, the ocean waves movement tendency can be got. Experimental results show that the optimized method presents 1/10 resolution accuracy and noise robustness. For the same ships in sequence images, the proposed matching method and the “ship wake” method are used to calculate the ship speed. Two results are very close to each other, which proves the proposed method is effective.