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SAR重构分辨率对海冰侧向融化量预测影响研究

谢涛 艾润冰 王彦 刘彬贤

谢涛,艾润冰,王彦,等. SAR重构分辨率对海冰侧向融化量预测影响研究[J]. 海洋学报,2021,43(7):173–182 doi: 10.12284/hyxb2021107
引用本文: 谢涛,艾润冰,王彦,等. SAR重构分辨率对海冰侧向融化量预测影响研究[J]. 海洋学报,2021,43(7):173–182 doi: 10.12284/hyxb2021107
Xie Tao,Ai Runbing,Wang Yan, et al. Research on the influence of SAR reconstruction resolution on the prediction of sea ice lateral melting quantity[J]. Haiyang Xuebao,2021, 43(7):173–182 doi: 10.12284/hyxb2021107
Citation: Xie Tao,Ai Runbing,Wang Yan, et al. Research on the influence of SAR reconstruction resolution on the prediction of sea ice lateral melting quantity[J]. Haiyang Xuebao,2021, 43(7):173–182 doi: 10.12284/hyxb2021107

SAR重构分辨率对海冰侧向融化量预测影响研究

doi: 10.12284/hyxb2021107
基金项目: 国家自然科学基金项目(41675046,41776181);天津市自然科学基金(19JCYBJC23700)
详细信息
    作者简介:

    谢涛(1973—),男,湖南省张家界市人,教授,主要从事海洋微波遥感研究。E-mail:xietao@nuist.edu.cn

  • 中图分类号: P731.15

Research on the influence of SAR reconstruction resolution on the prediction of sea ice lateral melting quantity

  • 摘要: 利用RADASAT-2的海冰SAR图像,分别采用Prewitt、Sobel和Canny边缘检测算子计算图像范围内的海冰周长,分析不同图像分辨率、不同边缘检测算子分别对周长计算结果产生的影响。结合冰层侧向融化速率参数化方案进行了海冰侧向融化温度敏感性模拟实验,分析了图像重构分辨率对海冰侧向融化结果的影响。结果表明:海冰破碎程度不同时,对应不同的最佳边缘检测算子和最佳分辨率;仅考虑侧向融化时,随着温度升高,3种算子模拟的海冰面积融化趋势基本一致,均呈指数型增加,Prewitt算子模拟效果最好,对应的最佳重构分辨率为30 m×30 m、65 m×65 m和155 m×155 m。
  • 图  1  Sobel算子对2010年9月11日图像边缘检测的结果

    a. 5 m×5 m分辨率;b. 50 m×50 m分辨率;c. 100 m×100 m分辨率;d. 150 m×150 m分辨率

    Fig.  1  Results of Sobel operator on image edge detection on September 11, 2010

    a. 5 m×5 m resolution; b. 50 m×50 m resolution; c. 100 m×100 m resolution; d. 150 m×150 m resolution

    2  Prewitt算子对2010年9月11日图像边缘检测的结果

    a. 5 m×5 m分辨率;b. 50 m×50 m分辨率;c. 100 m×100 m分辨率;d. 150 m×150 m分辨率

    2  Results of Prewitt operator on image edge detection on September 11, 2010

    a. 5 m×5 m resolution; b. 50 m×50 m resolution; c. 100 m×100 m resolution; d. 150 m×150 m resolution

    图  3  Canny算子对2010年9月11日图像边缘检测的结果

    a. 5 m×5 m分辨率;b. 50 m×50 m分辨率;c. 100 m×100 m分辨率;d. 150 m×150 m分辨率

    Fig.  3  Results of Canny operator on image edge detection on September 11, 2010

    a. 5 m×5 m resolution; b. 50 m×50 m resolution; c. 100 m×100 m resolution; d. 150 m×150 m resolution

    图  4  Sobel算子对2011年1月16日图像边缘检测的结果

    a. 5 m×5 m分辨率;b. 50 m×50 m分辨率;c. 100 m×100 m分辨率;d. 150 m×150 m分辨率

    Fig.  4  Results of Sobel operator on image edge detection on January 16, 2011

    a. 5 m×5 m resolution; b. 50 m×50 m resolution; c. 100 m×100 m resolution; d. 150 m×150 m resolution

    图  5  Prewitt算子对2011年1月16日图像边缘检测的结果

    a. 5 m×5 m分辨率;b. 50 m×50 m分辨率;c. 100 m×100 m分辨率;d. 150 m×150 m分辨率

    Fig.  5  Results of Prewitt operator on image edge detection on January 16, 2011

    a. 5 m×5 m resolution; b. 50 m×50 m resolution; c. 100 m×100 m resolution; d. 150 m×150 m resolution

    图  6  Canny算子对2011年1月16日图像边缘检测的结果

    a. 5 m×5 m分辨率;b. 50 m×50 m分辨率;c. 100 m×100 m分辨率;d. 150 m×150 m分辨率

    Fig.  6  Results of Canny operator on image edge detection on January 16, 2011

    a. 5 m×5 m resolution; b. 50 m×50 m resolution; c. 100 m×100 m resolution; d. 150 m×150 m resolution

    图  7  3种边缘检测算子得到的2010年9月11日海冰周长随分辨率的变化

    Fig.  7  Changes in sea ice perimeter with resolution obtained by three edge detection operators on September 11, 2010

    图  8  3种边缘检测算子得到的2011年1月16日海冰周长随分辨率的变化

    Fig.  8  Changes in sea ice perimeter with resolution obtained by three edge detection operators on January 16, 2011

    图  9  以2010年9月11日图像为例海冰融化面积随温度变化趋势

    Fig.  9  Taking the image of September 11, 2010 as an example, the sea ice melting area changes with temperature

    图  10  以2011年1月16日图像为例海冰融化面积随温度变化趋势

    Fig.  10  Taking the image of January 16, 2011 as an example, the sea ice melting area changes with temperature

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出版历程
  • 收稿日期:  2020-06-19
  • 修回日期:  2020-10-29
  • 网络出版日期:  2021-05-31
  • 刊出日期:  2021-07-25

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