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在条件合适的情况下 ,利用天基和航空 SAR( Synthetic Aperture Radar)可以观察到海上航行的船舶及其航迹。在 SAR图像中观察到的航迹有好几种 ,其中 ,湍流航迹是在所有航迹特征中出现的概率最大的一种 ,它一般是以暗的线的形式出现的 ,针对这一特点我们提出运用形态学算子来检测 SAR图像中的湍流航迹。运用形态学的方法有它自己的优势 :可以有效抑制斑点噪声 ,可以检测大于一定长度的航迹特征 ,而不会因为强的目标淹没弱目标 ,同时该算法很容易用硬件实现并行处理。运用 ERS— 2 SAR图像对算法进行测试 ,结果表明将形态学算子引入到湍流航迹检测工作中不失为一种好方法。
Where conditions permit, maritime vessels and their tracks can be observed using space-based and Synthetic Aperture Radars. There are several kinds of tracks observed in SAR images. Among them, turbulence tracks are the most probable one among all track features. They usually appear in the form of dark lines. We propose the use of morphological operators to detect turbulent trajectories in SAR images. The use of morphological methods has its own advantages: It can effectively suppress speckle noise and can detect trajectory characteristics greater than a certain length, without flooding weak targets due to strong targets. At the same time, the algorithm is easy to implement in parallel with hardware. The ERS-2 SAR image is used to test the algorithm. The results show that it is a good method to introduce the morphological operator into the turbulence track detection.