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The Effect Of Sea State On Ship Wake Detectability In Simulated Sar Imagery

机译:模拟Sar图像中海况对船舶尾迹可探测性的影响

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Ship wake detection methods are mostly based on analyzing real SAR images of the sea surface. This is due to SAR imaging having achieved considerable maturity and becoming effective for their visualization, in particular through Bragg resonance scattering. However, in different environmental conditions, it is often difficult, sometimes impossible, to consider all possible factors that can dramatically change ship wake visualization. In this paper, an analysis of one important sea state factor, namely the fetch length, both for airborne and satellite SAR platforms is investigated and its contribution to the visualization of ship wakes in simulated SAR images is quantified. We study the effect of fetch in terms of wake detectability using a state-of the-art method. The sea surface modelling is performed using the Joint North Sea Wave Project (JONSWAP) spectrum, whilst for Kelvin wake modelling the Michell theory is employed. The simulation results performed help clarify the influence of the sea state on ship wake visualization in SAR imagery.
机译:船舶尾迹检测方法主要基于分析海面的真实SAR图像。这是由于SAR成像已经达到相当成熟,并且对其可视化变得有效,尤其是通过布拉格共振散射。但是,在不同的环境条件下,通常很难(有时甚至是不可能)考虑可以显着改变船尾可视化效果的所有可能因素。在本文中,对机载和卫星SAR平台的一个重要海洋状态因素(即提取长度)进行了分析,并定量了其对模拟SAR图像中的船舶尾迹可视化的贡献。我们使用最先进的方法研究唤醒后可获取性的影响。使用联合北海波浪计划(JONSWAP)频谱执行海面建模,而对于开尔文尾流建模,则采用了Michell理论。进行的仿真结果有助于弄清海态对SAR图像中船舶尾迹可视化的影响。

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