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基于SAR多普勒质心频移的海面流场迭代反演算法

秦艳萍 范陈清 张玉滨

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[J]. 海洋学报,2022,44(3):109–117 doi: 10.12284/hyxb2022007
引用本文: 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[J]. 海洋学报,2022,44(3):109–117 doi: 10.12284/hyxb2022007
Qin Yanping,Fan Chenqing,Zhang Yubin. 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
Citation: Qin Yanping,Fan Chenqing,Zhang Yubin. 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

基于SAR多普勒质心频移的海面流场迭代反演算法

doi: 10.12284/hyxb2022007
基金项目: 国家重点研发计划(2017YFC1405602);国家自然科学基金(62031005,U2006207,41906157)
详细信息
    作者简介:

    秦艳萍(1996-),女,山东省潍坊市人,主要从事海洋遥感方向研究。E-mail:qyp3822@stu.ouc.edu.cn

    通讯作者:

    张玉滨,男,讲师,主要从事海洋遥感方向研究。E-mail:zhangyb@ouc.edu.cn

  • 中图分类号: P731.21;P715.7

An iterative retrieval algorithm of ocean surface current based on SAR Doppler centroid anomaly

  • 摘要: 为了克服SAR多普勒质心频移法反演海面流场时风场贡献去除困难的难题,本文提出了基于M4S模型的弦截下山法,利用其迭代计算局部区域的海面流场;然后估算整幅SAR图像中风场对多普勒速度的风贡献因子$\gamma $;最后去除风场对多普勒速度的贡献。将该算法用于Radarsat-2数据反演海面径向流速,并利用匹配的实测数据验证反演精度。研究结果表明,本文提出的弦截下山法具有良好的收敛性和较高的收敛速度,而且对本文中使用的两景SAR数据,反演的海面径向流速偏差分别为0.04 m/s和0.15 m/s。
  • 图  1  所用Radarsat-2 SAR 数据覆盖区域

    a. 2019年6月23日;b. 2019年6月25日

    Fig.  1  Coverage area of Radarsat-2 SAR data

    a. June 23, 2019; b. June 25, 2019

    图  2  弦截下山法迭代反演流场流程

    Fig.  2  Flow chart of iterative retrieval of current field by secant downhill method

    图  3  2019年6月23日SAR图像反演结果

    a. 实测多普勒中心频率fDc;b. 预测多普勒中心频率fDp;c. 多普勒质心频率异常值fDca;d. 地距多普勒速度Vdop_sar,其中红框区域为利用弦截下山法迭代反演流场的局部区域

    Fig.  3  SAR image retrieval results on June 23, 2019

    a. Measured Doppler center frequency fDc; b. predicted Doppler center frequency fDp; c. Doppler centroid frequency anomaly fDca; d. ground Doppler velocity Vdop_sar, the red box area is the local area of the current field iteratively retrieved by the secant downhill method

    图  4  2019年6月25日SAR数据反演的地距多普勒速度Vdop_car

    Fig.  4  Ground range Doppler velocity retrieved from SAR data on June 25, 2019

    图  5  两景SAR数据对应的海表面径向流速

    a. 2019年6月23日;b. 2019年6月25日。黑色五角星处是实测数据所在位置

    Fig.  5  The radial velocity of the sea surface corresponding to the SAR data of the two scenes

    a. June 23, 2019; b. June 25, 2019. The black five-pointed star is the location of the measured data

    表  1  本文所用Radarsat-2 SAR数据信息

    Tab.  1  Radarsat-2 SAR data information used in this paper

    成像时间(UTC)幅宽/km分辨率/m入射角范围/(°)极化方式升、降轨模式
    2019年6月23日21时53分102.52×109.434.92×11.8341.45~46.70垂直极化(VV)降轨
    2019年6月25日10时11分102.91×109.935.04×11.8333.51~39.74垂直极化(VV)升轨
    下载: 导出CSV

    表  2  海流计实测海流数据

    Tab.  2  Current data measured by ocean current meters

    测量时间(UTC)位置平均流速/(m·s–1平均流向/(°)实测数据在SAR视向方向的分量/(m·s–1
    2019年6月23日21时48–58分21.30°N,118.51°E0.42336.700.23
    2019年6月25日10时6–16分21.80°N,118.29°E0.15283.90–0.14
    下载: 导出CSV
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  • 收稿日期:  2020-12-31
  • 修回日期:  2021-11-01
  • 刊出日期:  2022-03-01

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