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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >A Novel Azimuth Cutoff Implementation to Retrieve Sea Surface Wind Speed From SAR Imagery
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A Novel Azimuth Cutoff Implementation to Retrieve Sea Surface Wind Speed From SAR Imagery

机译：一种新的方位角截止实施，从SAR图像中检索海面风速

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摘要

In this paper, the synthetic aperture radar (SAR) azimuth cutoff method is thoroughly revised and a new and general implementation is proposed. The key roles of the pixel spacing, the size of the image box, and the texture of the SAR scene are analyzed and optimized in terms of azimuth cutoff (lambda(c)) estimation. The reliability of the lambda(c) estimation is analyzed by measuring the distance between the measured and fitted autocorrelation functions. This analysis shows that it is of paramount importance to filter unfeasible/unreliable lambda(c) values. To identify those values in an objective way, a criterion that is based on the chi(2) test performed over a large data set of Sentinel-1 SAR imagery is defined and proven to be effective. The new robust implementation of the lambda(c) estimation at about 1-km grid spacing is then used to produce averaged lambda(c) at about 10-km grid spacing. The performance of the new estimation procedure, analyzed using a lambda(c)-to-wind-speed forward model, is shown to provide improved wind speed retrievals, with a root-mean-square error of 1.8-2 m/s when verified against independent numerical weather prediction model output and scatterometer winds.
机译：在本文中，彻底修改了合成孔径雷达（SAR）方位角切断方法，提出了一种新的和一般的实现。像素间隔，图像框的大小和SAR场景的纹理的关键作用在方位截止（Lambda（C））估计方面进行了分析和优化。通过测量测量和拟合的自相关函数之间的距离来分析Lambda（C）估计的可靠性。此分析表明，对滤波不可行/不可靠的Lambda（C）值是至关重要的。为了以客观方式识别这些值，定义并证明基于在Sentinel-1 SAR图像的大数据集上执行的CHI（2）测试的标准。然后使用约1 km网格间距的Lambda（c）估计的新鲁棒实现在约10公里的网格间距产生平均的λ（c）。使用Lambda（c）-to-to-tur-speed模型分析的新估计程序的性能显示出提供改善的风速检索，在验证时具有1.8-2 m / s的根均方误差针对独立的数字天气预测模型输出和散射仪风。

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