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首页> 外文期刊>International journal of remote sensing >Application of a new algorithm using Doppler information to retrieve complex wind fields over the Black Sea from ENVISAT SAR images
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Application of a new algorithm using Doppler information to retrieve complex wind fields over the Black Sea from ENVISAT SAR images

机译:一种使用多普勒信息的新算法从ENVISAT SAR图像中检索黑海上复杂风场的应用

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Several algorithms have been proposed to retrieve near-surface wind fields from C-band synthetic aperture radar (SAR) images acquired over the ocean. They mainly differ in the way they retrieve the wind direction. Conventionally, the wind direction is taken from atmospheric models or is extracted from the linear features sometimes visible in SAR images. Recently, a new wind retrieval algorithm has been proposed, which also includes the Doppler shift induced by motions of the sea surface. In this article, we apply three wind retrieval algorithms, including the one using Doppler information, to three complex wind events encountered over the Black Sea and compare the SAR-derived wind fields with model wind fields calculated using the high-resolution weather research and forecasting (WRF) model. It is shown that the new algorithm is very efficient in resolving the 180 degrees ambiguity in the wind direction, which is often a problem in the streak-based wind retrieval algorithms. However, the Doppler-based algorithm only yields good results for wind directions that have a significant component in the look direction of the SAR antenna. Furthermore, it is dependent on good separation of the contributions to the Doppler shift induced by surface currents and wind-related effects (wind drift and wind-sea components of the ocean wave spectrum). We conclude that an optimum wind retrieval algorithm should consist of a combination of the algorithms based on linear features and Doppler information.
机译:已经提出了几种算法来从海洋上获取的C波段合成孔径雷达(SAR)图像中检索近地表风场。它们的主要区别在于获取风向的方式不同。通常,风向是从大气模型中获取的,或者是从有时在SAR图像中可见的线性特征中提取的。最近,已经提出了一种新的风检索算法,该算法还包括由海面运动引起的多普勒频移。在本文中,我们将三种风检索算法(包括一种使用多普勒信息的检索算法)应用于黑海上遇到的三种复杂风事件,并将SAR衍生风场与使用高分辨率天气研究和预报所计算出的模型风场进行比较(WRF)模型。结果表明,新算法在解决风向180度歧义方面非常有效,这在基于条纹的风检索算法中常常是一个问题。但是,基于多普勒的算法仅对在SAR天线的视向中具有重要分量的风向产生良好的结果。此外,它取决于表面电流和与风有关的影响(海浪频谱的风漂移和风海成分)引起的多普勒频移贡献的良好分离。我们得出结论,最佳的风速取回算法应由基于线性特征和多普勒信息的算法组合组成。

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