This article aims at providing an efficient algorithm for sea clutter segmentation in coherent radar images. Using multiphase interface motion models, we show that segmentation in the range–time–intensity map gives much more relevant results than segmentation in the range–Doppler Map and avoids the use of assumptions on the clutter frequency response. Several mathematical models are evaluated on real data corresponding to Douglas sea states of approximately 5. Dealing with diffuse interface motion models involving more than two phases allows us to take into account the low contrast, the interference noise, and the contour weakness that are typical of range–time–intensity map images. Sea clutter segmentation allows us, for instance, to obtain oceanographic parameters such as sea state, direction, and velocity of the swell and the wind. It can also be seen as preprocessing that may be useful for target detection.

中文翻译：

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相干雷达图像中海杂波的几何分割：距离-多普勒图与距离-时间-强度图

本文旨在为相干雷达图像中的海杂波分割提供一种有效的算法。使用多相界面运动模型，我们表明距离-时间-强度图中的分割比距离-多普勒图中的分割给出了更多的相关结果，并避免了对杂波频率响应的假设。几个数学模型在对应的真实数据上进行评估道格拉斯海况大约为 5。处理涉及两个以上阶段的漫反射界面运动模型使我们能够考虑范围-时间-强度地图图像中典型的低对比度、干扰噪声和轮廓弱点。例如，海杂波分割使我们能够获得海洋参数，例如海况、方向以及涌浪和风的速度。也可以将其视为可能对目标检测有用的预处理。