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DING Yingying,ZUO Juncheng,SHAO Weizeng,SHI Jian,YUAN Xinzhe,SUN Jian,HU Jiachen,LI Xiaofeng.Wave parameters retrieval for dual-polarization C-band synthetic aperture radar using a theoretical-based algorithm under cyclonic conditions[J].Acta Oceanologica Sinica,2019,38(5):21-31
基于理论的气旋条件下双极化C波段合成孔径雷达波参数检测
Wave parameters retrieval for dual-polarization C-band synthetic aperture radar using a theoretical-based algorithm under cyclonic conditions
投稿时间:2019-02-20  
DOI:10.1007/s13131-019-1438-y
中文关键词:  波浪参数  合成孔径雷达  气旋
英文关键词:wave parameters  synthetic aperture radar  cyclonic condition
基金项目:The National Key Research and Development Program of China under contract No. 2017YFA0604901; the National Natural Science Foundation of China under contract Nos 41806005 and 41776183; the Public Welfare Technical Applied Research Project of Zhejiang Province of China under contract No. LGF19D060003.
作者单位E-mail
丁莹莹 浙江海洋大学海洋科技学院, 浙江舟山 316000  
左军成 浙江海洋大学海洋科技学院, 浙江舟山 316000  
邵伟增 浙江海洋大学海洋科技学院, 浙江舟山 316000 shaoweizeng@zjou.edu.cn 
史剑 国防科技大学气象海洋学院, 南京 21007  
袁新哲 自然资源部国家卫星海洋应用服务中心, 北京 100081  
孙建 中国海洋大学物理海洋学实验室/CIMST, 青岛海洋科学与技术国家实验室, 山东青岛 266100  
胡佳臣 浙江海洋大学海洋科技学院, 浙江舟山 316000  
李晓峰 全球科学和技术, 国家海洋和大气管理局(NOAA)国家环境卫星, 数据和信息服务(NESDIS), College Park, MD 20740, USA  
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中文摘要:
      将基于理论的反演算法应用于合成孔径雷达(SAR)强度谱的海浪反演,该算法时基于SAR成像机制开发的。在我们先前的研究中,已经表明,参数化第一猜测谱方法(PFSM),适用于低到中海况的C波段和X波段SAR海浪反演。在这项工作中,我们研究了气旋情况下,PFSM算法应用于在超宽幅(EW)和干涉宽幅(IW)模式成像的双极化C波段Sentinel-1(S-1) SAR的适用性。使用C波段交叉极化风速反演模型(C-3PO)模型从垂直-水平(VH) S-1 SAR图像中反演强风,然后从垂直-垂直图像反演台风浪参数。将有效波高(SWH)和平均波周期(MWP)与WAVEWATCH-Ⅲ (WW3)模型的模拟结果进行比较。验证显示SWH的均方根误差(RMSE)为0.69m和-0.01m偏差,MWP的均方根误差为0.62s和-0.17s偏差。虽然PFSM算法依赖于高质量的SAR频谱,但本研究证实了从S-1 SAR图像台风浪反演的适用性。此外,反演结果在旋风眼右侧扇区上的准确度较低,其中涌浪直接影响强风浪,而PFSM算法在旋风眼的左侧和后侧扇区上工作良好,其中风浪和涌浪的相互作用相对较弱。
英文摘要:
      Theoretical-based ocean wave retrieval algorithms are applied by inverting a synthetic aperture radar (SAR) intensity spectrum into a wave spectrum, that has been developed based on a SAR wave mapping mechanism. In our previous studies, it was shown that the wave retrieval algorithm, named the parameterized first-guess spectrum method (PFSM), works for C-band and X-band SAR at low to moderate sea states. In this work, we investigate the performance of the PFSM algorithm when it is applied for dual-polarization c-band sentinel-1 (S-1) SAR acquired in extra wide-swath (EW) and interferometric wide-swath (IW) mode under cyclonic conditions. Strong winds are retrieved from six vertical-horizontal (VH) polarization S-1 SAR images using the c-band cross-polarization coupled-parameters ocean (C-3PO) model and then wave parameters are obtained from the image at the vertical-vertical (VV) polarization channel. significant wave height (SWH) and mean wave period (MWP) are compared with simulations from the WAVEWATCH-Ⅲ (WW3) model. The validation shows a 0.69 m root mean square error (RMSE) of SWH with a -0.01 m bias and a 0.62 s RMSE of MWP with a -0.17 s bias. Although the PFSM algorithm relies on a good quality SAR spectrum, this study confirms the applicability for wave retrieval from an S-1 SAR image. Moreover, it is found that the retrieved results have less accuracy on the right sector of cyclone eyes where swell directly affects strong wind-sea, while the PFSM algorithm works well on the left and rear sectors of cyclone eyes where the interaction of wind-sea and swell is relatively poor.
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