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A Method for Sea Surface Wind Field Retrieval from SAR Image Mode Data

机译:一种基于SAR图像模式数据的海面风场反演方法

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摘要

To retrieve wind field from SAR images, the development for surface wind field retrieval from SAR images based on the improvement of new inversion model is present. Geophysical Model Functions (GMFs) have been widely applied for wind field retrieval from SAR images. Among them CMOD4 has a good performance under low and moderate wind conditions. Although CMOD5 is developed recently with a more fundamental basis, it has ambiguity of wind speed and a shape gradient of normalized radar cross section under low wind speed condition. This study proposes a method of wind field retrieval from SAR image by com-bining CMOD5 and CMOD4 Five VV-polarisation RADARSAT2 SAR images are implemented for validation and the retrieval re-sults by a combination method (CMOD5 and CMOD4) together with CMOD4 GMF are compared with QuikSCAT wind data. The root-mean-square error (RMSE) of wind speed is 0.75 m s-1 with correlation coefficient 0.84 using the combination method and the RMSE of wind speed is 1.01 m s-1 with correlation coefficient 0.72 using CMOD4 GMF alone for those cases. The proposed method can be applied to SAR image for avoiding the internal defect in CMOD5 under low wind speed condition.
机译:为了从SAR图像中检索风场,提出了基于新反演模型改进的SAR图像地表风场检索技术。地球物理模型函数(GMF)已广泛应用于从SAR图像中检索风场。其中CMOD4在中低风条件下具有良好的性能。尽管最近开发的CMOD5具有更基本的基础,但它在低风速条件下具有风速歧义性和标准化雷达横截面的形状梯度。本研究提出了一种结合CMOD5和CMOD4的SAR图像风场反演方法。对5个VV极化RADARSAT2 SAR图像进行了验证,结合CMOD5和CMOD4以及CMOD4 GMF对SAR图像进行了检索。与QuikSCAT风数据相比。使用组合方法时,风速的均方根误差(RMSE)为0.75 m s-1,相关系数为0.84,而仅使用CMOD4 GMF,风速的RMSE为1.01 m s-1,相关系数为0.72 。该方法可以应用于SAR图像,避免在低风速条件下CMOD5的内部缺陷。

著录项

  • 来源
    《中国海洋大学学报(英文版)》 |2014年第2期|198-204|共7页
  • 作者单位

    Marine Science and Technical College, Zhejiang 0cean University, Zhoushan 316000, P. R. China;

    Physical 0ceanography Laboratory, 0cean University of China, Qingdao 266100, P. R. China;

    Physical 0ceanography Laboratory, 0cean University of China, Qingdao 266100, P. R. China;

    Marine Science and Technical College, Zhejiang 0cean University, Zhoushan 316000, P. R. China;

  • 收录信息 中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-19 03:49:09
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