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SHENG Yexin,SHAO Weizeng,ZHU Shuai,SUN Jian,YUAN Xinzhe,LI Shuiqing,SHI Jian,ZUO Juncheng.Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery using an improved algorithm[J].Acta Oceanologica Sinica,2018,37(6):1-10
利用一种改进的算法对中国高分三号同极化SAR图像反演的有效波高的验证
Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery using an improved algorithm
投稿时间:2018-01-23  修订日期:2018-03-21
DOI:10.1007/s13131-018-1217-1
中文关键词:  高分三号  合成孔径雷达  有效波高
英文关键词:Gaofen-3  synthetic aperture radar  significant wave height
基金项目:The National Key Research and Development Program of China under contract Nos 2016YFC1401905 and 2017YFA0604901; the National Natural Science Foundation of China under contract Nos 41776183, 41676014, 41606024 and 41506033; the National Social Science Foundation of China under contract No. 15ZDB170.
作者单位E-mail
盛叶新 海洋科学与技术学院, 浙江海洋大学, 舟山 316000, 中国  
邵伟增 海洋科学与技术学院, 浙江海洋大学, 舟山 316000, 中国 shaoweizeng@zjou.edu.cn 
诸帅 海洋科学与技术学院, 浙江海洋大学, 舟山 316000, 中国  
孙建 物理海洋学教育部重点实验室, 中国海洋大学与青岛海洋科学与技术国家实验室, 青岛 266100, 中国  
袁新哲 国家卫星海洋应用中心, 北京 100081, 中国  
李水清 中国科学院海洋所, 青岛 266071, 中国
海洋动力与气候实验室, 中国海洋大学与青岛海洋科学与技术国家实验室, 青岛 266071, 中国 
 
史剑 国防科技大学气象海洋学院, 南京 210000, 中国  
左军成 海洋科学与技术学院, 浙江海洋大学, 舟山 316000, 中国  
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中文摘要:
      中国高分三号卫星是首个携带C波段(5.3 GHz)合成孔径雷达(SAR)的民用卫星。本研究共收集了1523幅中国海附近2016年8月至2017年12月期间的全极化成像方式的高分三号SAR图像。我们之前的研究显示,使用同极化(VV和HH)高分三号SAR图像,经验算法CSAR_WAVE反演的有效波高(SWH)的均方根误差(RMSE)大约为0.58米左右。1523幅图像的子图像,与空间分辨率为0.125°欧洲中长期天气预报中心(ECMWF)的数据进行匹配。通过收集的数据集,我们提出改进的波浪反演算法CSAR_WAVE2。使用另外92幅高分三号SAR图像进行海浪有效波高反演,与高度计Jason-2的产品进行对比验证,均方根误差为0.52m,因此,结果显示,改进的波浪反演算法在同极化高分三号SAR图像中获得了良好的反演结果。
英文摘要:
      Chinese Gaofen-3 (GF-3) is the first civilian satellite to carry C-band (5.3 GHz) synthetic aperture radar (SAR). During the period of August 2016 to December 2017, 1 523 GF-3 SAR images acquired in quad-polarization (vertical-vertical (VV), horizontal-horizontal (HH), vertical-horizontal (VH), and horizontal-vertical (HV)) mode were recorded, mostly around China's seas. In our previous study, the root mean square error (RMSE) of significant wave height (SWH) was found to be around 0.58 m when compared with retrieval results from a few GF-3 SAR images in co-polarization (VV and HH) with moored measurements by using an empirical algorithm CSAR_WAVE. We collected a number of sub-scenes from these 1 523 images in the co-polarization channel, which were collocated with wind and SWH data from the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis field at a 0.125° grid. Through the collected dataset, an improved empirical wave retrieval algorithm for GF-3 SAR in co-polarization was tuned, herein denoted as CSAR_WAVE2. An additional 92 GF-3 SAR images were implemented in order to validate CSAR_WAVE2 against SWH from altimeter Jason-2, showing an about 0.52 m RMSE of SWH for co-polarization GF-3 SAR. Therefore, we conclude that the proposed empirical algorithm has a good performance for wave retrieval from GF-3 SAR images in co-polarization.
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