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SHENG Yexin,SHAO Weizeng,ZHU Shuai,SUN Jian,YUAN Xinzhe,LI Shuiqing,SHI Jian,ZUO Juncheng. 2018. Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery using an improved algorithm. Acta Oceanologica Sinica, 37(6):1-10
Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery using an improved algorithm
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
Received:January 23, 2018  Revised:March 21, 2018
DOI:10.1007/s13131-018-1217-1
Key words:Gaofen-3  synthetic aperture radar  significant wave height
中文关键词:  高分三号  合成孔径雷达  有效波高
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.
Author NameAffiliationE-mail
SHENG Yexin Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China  
SHAO Weizeng Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China shaoweizeng@zjou.edu.cn 
ZHU Shuai Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China  
SUN Jian Physical Oceanography Laboratory/CIMST, Ocean University of China and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China  
YUAN Xinzhe National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China  
LI Shuiqing Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
Laboratory for Ocean Dynamics and Climate, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China 
 
SHI Jian College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 210007, China  
ZUO Juncheng Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China  
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Abstract:
      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.
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。
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