基于Sentinel-1A的长江口近岸风矢量场反演研究

发布时间：2018-05-21 18:31

本文选题：合成孔径雷达SAR + 风场反演　；参考：《华东师范大学学报(自然科学版)》2017年06期

【摘要】：选取长江口外近岸海域,以欧空局发射的Sentinel-1A为SAR图像数据源,利用多级小波变换和傅里叶变换获得高精度风向信息,再利用基于GMF的3种CMOD系列模型反演风速,最后将反演结果与同时相的ECMWF模式风场数据以及五组实测数据进行对比.结果表明,除个别包含复杂纹理特征的SAR子图像以外,SAR风场反演精度整体优于ECMWF模式风场.经过多级小波变换后的风向反演结果更优,均方根误差分别为31.6°,29.7°,23.5°.经过二级小波变换之后的整景SAR图像结合风向信息代入到CMOD系列模型中反演得到的风速精度最优,均方根误差控制在0.8 m/s.比较适合长江口外近海海域的是MOD-IFR2和CMOD4,均方根误差分别为1.08 m/s和1.05 m/s.
[Abstract]:Taking the Sentinel-1A launched by ESA as the data source of SAR images, the wind direction information with high accuracy is obtained by using multistage wavelet transform and Fourier transform, and the wind speed is retrieved by using three CMOD series models based on GMF. Finally, the inversion results are compared with the simultaneous ECMWF model wind field data and five groups of measured data. The results show that the retrieval accuracy of SAR wind field is better than that of ECMWF model except for some sub-images with complex texture features. After multilevel wavelet transform, the wind direction inversion results are better, the root mean square error is 31.6 掳/ 29.7 掳/ 23.5 掳respectively. After the two-stage wavelet transform, the whole SAR image combined with wind direction information is added to the CMOD series model to obtain the best wind speed accuracy, and the root mean square error is controlled at 0.8 m / s. MOD-IFR2 and CMOD4 are suitable for the offshore waters off the Yangtze River Estuary. The root mean square error is 1.08 m / s and 1.05 m / s respectively.
【作者单位】：华东师范大学河口海岸学国家重点实验室;
【基金】：国家自然科学基金(41476151)
【分类号】：TN957.52

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