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Ship wake CFAR detection algorithm in SAR images based on length normalized scan

机译:基于长度归一化扫描的SAR图像船尾CFAR检测算法

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Ship wake detection can facilitate ship detection and ship motion parameters retrieval. In this paper, we propose a novel constant false alarm rate (CFAR) ship wake detection algorithm in SAR images based on length normalized scan method. As we all know, range component of ship's movement leads to azimuth offset in SAR images. The start point of wake should be located near the ship in the azimuth. According to this physical facts, length normalized scan is performed on line which may be a wake. By means of linear integral and length normalization technology, linear feature detection is transformed to point detection. Then the probability model in the scan domain is constructed to implement CFAR detection. Different resolution real SAR images are used to validate our proposed method. Experimental results show that this algorithm is effective for ship wake detection and can extract ship's velocity with good accuracy.
机译:船舶航迹检测可以促进船舶检测和船舶运动参数的检索。在本文中,我们提出了一种基于长度归一化扫描方法的SAR图像恒虚警率(CFAR)舰船唤醒检测算法。众所周知,船舶运动的距离分量会导致SAR图像中的方位角偏移。唤醒的起点应位于船上方位角附近。根据这一物理事实,长度标准化扫描是在线执行的,这可能是唤醒。通过线性积分和长度归一化技术,将线性特征检测转换为点检测。然后构造扫描域中的概率模型以实现CFAR检测。使用不同分辨率的实际SAR图像来验证我们提出的方法。实验结果表明,该算法对舰船尾迹检测是有效的,并且能够以较高的精度提取舰船的速度。

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