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物理学报  2011 

Regularization method to retrieve synthetic aperture radar sea surface wind
合成孔径雷达资料反演海面风场的正则化方法研究

Keywords: synthetic aperture radar,regularization,L-curve,variational assimilation
合成孔径雷达
,正则化,L曲线准则,变分同化

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Abstract:

Due to the fact that the error exists in the priori wind direction for the problem of synthetic aperture radar data sea surface wind field retrieval, the regularization method is used to retrieve the wind field, while the L-curve method is adopted to select the optimal regularization parameter. Simulation experiments show that the retrieval accuracy of the regularization method is better than that of the variational method. Further researches in different true wind direction situations indicate that when the real wind direction is in the vicinity of 45 ° or 135 °, the wind speed retrieval accuracy is higher, when the real wind direction is in the vicinity of 0 ° or 90 °, the wind direction retrieval accuracy is higher, this phenomenon may be related to the derivative of backscatter cross section with respect to the wind direction in geophysical model function.

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