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An advanced inversion algorithm for significant wave height estimation based on random field

机译：基于随机场的有效波高估计高级反演算法

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摘要

To describe the random movement of ocean wave exactly, the random field theory for local average sampling is introduced. In this work, the rotated empirical orthogonal function analysis (REOF) is proposed to estimate the significant wave height (SWH) from the data captured with marine X-band radar. After obtaining the rotated principal components (PC) of the radar image sequences, the standard deviation of the rotated PC is a new means of estimating SWH. The results show the advanced algorithm has a good correlation between the SWH retrieved by radar and that of the measured with the buoy. The root mean squared error (RMSE) of the SWH between the advanced model and the buoy is only 0.1440 m, which decreased about 22% compared with the EOF analysis.
机译：为了准确描述海浪的随机运动，引入了局部平均采样的随机场理论。在这项工作中，提出了旋转经验正交函数分析（REOF）以从船用X波段雷达捕获的数据中估计有效波高（SWH）。在获得雷达图像序列的旋转主分量（PC）之后，旋转PC的标准偏差是估算SWH的新方法。结果表明，该改进算法在雷达获取的SWH值与浮标测量值之间具有良好的相关性。先进模型与浮标之间SWH的均方根误差（RMSE）仅0.1440 m，与EOF分析相比降低了约22％。

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