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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
Outline
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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
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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多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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