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首先利用SeaWinds散射计风向作为初始信息进行SAR(Synthetic Aperture Radar)影像海面风场反演,在对SAR影像进行了噪声剔除、辐射定标、极化转换等处理后获得VV极化下各分辨单元的后向散射系数,结合地球物理模式函数获取风速并显示输出海面风场的分布情况。在此基础上,尝试利用WRF(Weather Research Forecast)数值预报模式风向作为初始场从SAR影像中反演风速信息,将结果与之前以散射计风向作为初始信息得到的反演结果进行对比,验证实验方法的正确性,高分辨率数值预报模式风向结合SAR影像将是未来业务化近岸海面风场反演的发展趋势。
Firstly, the wind direction of the SeaWinds scatterometer is used as the initial information to carry out the inversion of the sea surface wind field of the SAR (Synthetic Aperture Radar) image. After the SAR images are removed by noise, radiation calibration and polarization conversion, Of the backscattering coefficient, combined with the geophysical model function to obtain wind speed and output of the sea surface wind field distribution. Based on this, we try to use wind forecast of WRF (Weather Research Forecast) as the initial field to retrieve the wind speed information from the SAR image, and compare the result with the inversion result obtained by using the wind direction of the scatterometer as the initial information. The correctness of the method and the combination of high-resolution numerical prediction mode and wind direction with SAR imagery will be the trend of future operational offshore wind field inversion.