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An iterative retrieval algorithm of ocean surface current based on SAR Doppler centroid anomaly
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Yanping Qin1, Chenqing Fan2, Yubin Zhang1, *
Haiyang Xuebao | 2022, 44(3) : 109 - 117
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Haiyang Xuebao | 2022, 44(3): 109-117
• Article •
An iterative retrieval algorithm of ocean surface current based on SAR Doppler centroid anomaly
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Yanping Qin1, Chenqing Fan2, Yubin Zhang1, *
Affiliations
  • 1. College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
  • 2. First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
Published: 2022-03-01 doi: 10.12284/hyxb2022007
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To overcome the difficulty of removing the wind field contribution in the SAR Doppler centroid anomaly method when retrieving the ocean surface current, in this paper, a secant downhill method based on the M4S model is proposed. The contribution of the wind field is removed by iteratively calculating the sea surface current field in a local area and subsequently estimating the wind contribution factor to the Doppler velocity of the whole SAR map. Our method is used to retrieve the radial velocity of sea surface from Radarsat-2 data. Its retrieval accuracy is verified by matching measured data. The results show that the proposed method not only can possess well convergence and high convergent speed, but also the deviation of the radial velocity of the surface is 0.04 m/s and 0.15 m/s respectively for two scene SAR data used in this paper.

SAR  /  Doppler centroid anomaly  /  ocean surface current  /  secant downhill method
秦艳萍, 范陈清, 张玉滨. 基于SAR多普勒质心频移的海面流场迭代反演算法. 海洋学报, 2022 , 44 (3) : 109 -117 . DOI: 10.12284/hyxb2022007
Yanping Qin, Chenqing Fan, Yubin Zhang. An iterative retrieval algorithm of ocean surface current based on SAR Doppler centroid anomaly[J]. Haiyang Xuebao, 2022 , 44 (3) : 109 -117 . DOI: 10.12284/hyxb2022007
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Year 2022 volume 44 Issue 3
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Article Info
doi: 10.12284/hyxb2022007
  • Receive Date：2020-12-31
  • Online Date：2026-02-01
  • Published：2022-03-01
Article Data
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History
  • Received：2020-12-31
  • Revised：2021-11-01
Funding
Affiliations
    1. College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
    2. First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
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