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Wake detection performance analysis in X- and C-band SAR images

机译:X和C波段SAR图像中的唤醒检测性能分析

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A new algorithm for ship wake detection is developed with the aim of ship heading and velocity estimation. It exploits the Radon Transform and utilizes merit indexes in the intensity domain to validate the detected linear features as real components of the ship wake. The algorithm has been applied on 19 wakes in C-band SAR images, gathered by Sentinel 1 mission, with different polarization. Results show that the vast majority of wake features are correctly detected and validated also in critical situations. Moreover, a proper choice of the merit index strongly reduces the false alarm rate.
机译:针对船舶航向和速度估计,开发了一种新的船舶尾迹检测算法。它利用Radon变换并利用强度域中的性能指标来验证检测到的线性特征是否是船尾的真实组成部分。该算法已应用于Sentinel 1任务收集的具有不同极化的C波段SAR图像中的19次唤醒。结果表明,即使在紧急情况下,也能正确检测和验证绝大多数唤醒功能。此外,适当选择优点指标可大大降低误报率。

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