张保卫;郭建忠;成毅;张耀南;冯立强;

• 1:中国人民解放军战略支援部队信息工程大学
• 2:河南大学地理与环境学院
• 3:河南省时空大数据产业技术应用研究院
• 4:中国科学院西北生态环境资源研究院

摘要(Abstract)：

海面风速反演模型多基于VV极化SAR数据建立的经验函数，但这类模型并不能直接用于HH极化SAR数据。随着SAR长时间序列观测数据的不断积累，新的风速反演模型应运而生。在已有的HH极化风速反演方法中，对于Sentinel-1 HH极化SAR数据的适用性研究尚不多见。文章旨在解决有关HH极化数据在风速反演时最优模型选择的问题。选取24幅Sentinel-1 HH极化SAR影像，分别利用无需极化率和需要极化率的两类风速模型对海面风速进行反演，通过决定系数、均方根误差、偏差和标准差4个指数，评价模型在风速反演上的精度。实验结果表明，无需极化率风速模型优于需要极化率的模型，且CMODH表现最佳。

关键词(KeyWords)： 地球物理函数;CMODH模型;风速;合成孔径雷达;HH极化

Abstract:

Keywords:

基金项目(Foundation): 山东省重大科技创新工程项目(Y9338301)

作者(Authors): 张保卫;郭建忠;成毅;张耀南;冯立强;

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