Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery using an improved algorithm

SHENG Yexin SHAO Weizeng ZHU Shuai SUN Jian YUAN Xinzhe LI Shuiqing SHI Jian ZUO Juncheng

盛叶新, 邵伟增, 诸帅, 孙建, 袁新哲, 李水清, 史剑, 左军成. 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[J]. 海洋学报英文版, 2018, 37(6): 1-10. doi: 10.1007/s13131-018-1217-1
引用本文: 盛叶新, 邵伟增, 诸帅, 孙建, 袁新哲, 李水清, 史剑, 左军成. 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[J]. 海洋学报英文版, 2018, 37(6): 1-10. doi: 10.1007/s13131-018-1217-1
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. doi: 10.1007/s13131-018-1217-1
Citation: 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. doi: 10.1007/s13131-018-1217-1

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

doi: 10.1007/s13131-018-1217-1
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.

Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery using an improved algorithm

  • 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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出版历程
  • 收稿日期:  2018-01-23
  • 修回日期:  2018-03-21

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