ABSTRACT A SWH model under low sea state is established, the model is based on the information contained in the wave field to extract the deviation between the kurtosis of the Weibull distribution and the kurtosis of the radar image sequence under low sea state firstly. Then, a linear relationship is established to retrieve the SWH under low sea state from the combination of the deviation and the apparent characteristics ratio of the sea surface roughness. Lastly, the SWH derived by using this proposed method matches better with that measured by an in situ buoy nearby under very low sea state.

中文翻译：

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低海况下水平极化X波段航海雷达图像海浪高度反演

摘要 建立了低海况下的SWH模型，该模型首先根据波场中包含的信息，提取出Weibull分布峰度与低海况下雷达图像序列峰度之间的偏差。然后，建立线性关系，从偏差和海面粗糙度表观特征比的组合中反演低海况下的SWH。最后，在极低海况下，使用该方法得出的 SWH 与附近的原位浮标测量的 SWH 更好地匹配。