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

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

1.
南京信息工程大学遥感与测绘工程学院，江苏南京 210044
2.
驻马店市气象局，河南驻马店 450003
3.
天津市人工影响天气办公室，天津 300074
4.
天津市海洋中心气象台，天津 300074

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
计量
- 文章访问数: 379
- HTML全文浏览量: 135
- PDF下载量: 20
- 被引次数: 0
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

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

1.
School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
2.
Zhumadian Meteorological Service, Zhumadian 450003, China
3.
Tianjin Weather Modification Office, Tianjin 300074, China
4.
Tianjin Central Observatory for Oceanic Meteorology, Tianjin 300074, China

摘要

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。
- SAR /
- 海冰侧向融化 /
- 重构分辨率 /
- 边缘检测
Abstract: Using RADASAT-2 sea ice SAR images, by the way of Prewitt, Sobel and Canny edge detection operators to calculate the sea ice perimeter in the image, and consider the influence of different image resolutions and different edge detection operators on the calculation results respectively. Combined with the ice lateral melting rate parameterization scheme, the sensitivity experiment of the lateral melting of sea ice to temperature was carried out, and the effect of image reconstruction resolution on the simulation results of sea ice lateral melting was analyzed. The results show that the best edge detection operator corresponding to different degrees of sea ice breakage in the image is different, and the best resolution is also different. Under the condition of only lateral melting, the melting area of sea ice increases exponentially with increasing temperature. The simulation trends of the three operators are basically the same. The Prewitt operator has the best simulation effect, and the corresponding optimal reconstruction resolution is 30 m×30 m, 65 m×65 m and 155 m×155 m.
- SAR /
- lateral melting of sea ice /
- reconstruction resolution /
- edge detection

HTML全文

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

下载: 全尺寸图片幻灯片

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

参考文献(20)

[1]	王庆元, 李清泉, 王兰宁. 侧边界融化对北极海冰影响的数值模拟[J]. 极地研究, 2013, 25(1): 84−89. Wang Qingyuan, Li Qingquan, Wang Lanning. Numerical simulations of the effects of lateral melting on Arctic sea ice[J]. Chinese Journal of Polar Research, 2013, 25(1): 84−89.
[2]	Zubov N N. Arctic Ice[M]. U.S. Naval Oceanographic and American Meteorological Society, trans. San Diego: Navy Electronics Laboratory, 1963.
[3]	Maykut G A, Untersteiner N. Some results from a time-dependent thermodynamic model of sea ice[J]. Journal of Geophysical Research, 1971, 76(6): 1550−1575. doi: 10.1029/JC076i006p01550
[4]	Langleben M P. On the factors affecting the rate of ablation of sea ice[J]. Canadian Journal of Earth Sciences, 1966, 3(4): 431−439. doi: 10.1139/e66-032
[5]	Parkinson C L, Washington W M. A large-scale numerical model of sea ice[J]. Journal of Geophysical Research: Oceans, 1979, 84(C1): 311−337. doi: 10.1029/JC084iC01p00311
[6]	Josberger E G, Martin S. A laboratory and theoretical study of the boundary layer adjacent to a vertical melting ice wall in salt water[J]. Journal of Fluid Mechanics, 1981, 111: 439−473. doi: 10.1017/S0022112081002450
[7]	Perovich D K. On the summer decay of a sea ice cover[D]. Seasttle: University of Washington, 1983: 176.
[8]	Maykut G A, Perovich D K. The role of shortwave radiation in the summer decay of a sea ice cover[J]. Journal of Geophysical Research: Oceans, 1987, 92(C7): 7032−7044. doi: 10.1029/JC092iC07p07032
[9]	Steele M. Sea ice melting and floe geometry in a simple ice-ocean model[J]. Journal of Geophysical Research: Oceans, 1992, 97(C11): 17729−17738. doi: 10.1029/92JC01755
[10]	李志军, 张占海, 董西路, 等. 北极海冰生消过程关键指标的观测新技术[J]. 自然科学进展, 2004, 14(9): 1077−1080. doi: 10.3321/j.issn:1002-008X.2004.09.019 Li Zhijun, Zhang Zhanhai, Dong Xilu, et al. New observation techniques for key indicators of Arctic sea ice generation and depletion process[J]. Progress in Natural Science, 2004, 14(9): 1077−1080. doi: 10.3321/j.issn:1002-008X.2004.09.019
[11]	雷瑞波, 李志军, 程斌, 等. 夏季北冰洋浮冰−水道热力学特征现场观测研究[J]. 极地研究, 2010, 22(3): 286−295. Lei Ruibo, Li Zhijun, Cheng Bin, et al. Observations on the thermodynamics mechanism of the floe-lead system in the Arctic ocean during summer[J]. Chinese Journal of Polar Research, 2010, 22(3): 286−295.
[12]	王庆凯, 李志军, 曹晓卫, 等. 实测冰−水侧向界面热力学融化速率[J]. 南水北调与水利科技, 2016, 14(6): 81−86. Wang Qingkai, Li Zhijun, Cao Xiaowei, et al. Analysis of measured thermodynamic melting rate of lateral interface between ice and water[J]. South-to-North Water Transfers and Water Science & Technology, 2016, 14(6): 81−86.
[13]	王庆凯, 方贺, 李志军, 等. 湖冰侧、底部融化现场观测与热力学分析[J]. 水利学报, 2018, 49(10): 1207−1215. Wang Qingkai, Fang He, Li Zhijun, et al. Field investigations on lateral and bottom melting of lake ice and thermodynamic analysis[J]. Journal of Hydraulic Engineering, 2018, 49(10): 1207−1215.
[14]	方贺, 谢涛, 杜路遥, 等. 一种用于观测北极海冰侧边界融化的水下超声波测距系统[J]. 仪表技术与传感器, 2018(9): 45−50. doi: 10.3969/j.issn.1002-1841.2018.09.012 Fang He, Xie Tao, Du Luyao, et al. Underwater ultrasonic distance measurement system for observation Arctic sea ice lateral boundary melting[J]. Instrument Technique and Sensor, 2018(9): 45−50. doi: 10.3969/j.issn.1002-1841.2018.09.012
[15]	Hall R T, Rothrock D A. Photogrammetric observations of the lateral melt of sea ice floes[J]. Journal of Geophysical Research: Oceans, 1987, 92(C7): 7045−7048. doi: 10.1029/JC092iC07p07045
[16]	Xie Tao, Zhao Li, Perrie W, et al. The sea-ice detection capability of synthetic aperture radar[J]. Open Journal Systems, 2017, 2(2): 261.
[17]	Zhao Li, Xie Tao, Meng Lei, et al. Polarization ratio characteristics of electromagnetic scattering from sea ice in polar areas[J]. Chinese Physics B, 2018, 27(12): 124102. doi: 10.1088/1674-1056/27/12/124102
[18]	Xie Tao, Perrie W, Wei Caiying, et al. Discrimination of open water from sea ice in the Labrador Sea using quad-polarized synthetic aperture radar[J]. Remote Sensing of Environment, 2020, 247: 111948. doi: 10.1016/j.rse.2020.111948
[19]	艾润冰, 谢涛, 刘彬贤, 等. 基于气温的浮冰侧向融化速率参数化方案实验研究[J]. 海洋学报, 2020, 42(5): 150−158. Ai Runbing, Xie Tao, Liu Binxian, et al. An experimental study on parametric scheme of lateral melting rate of ice layer based on temperature[J]. Haiyang Xuebao, 2020, 42(5): 150−158.
[20]	江笑婵, 万振凯, 陈利. 基于matlab边缘提取的几种方法的比较[J]. 电脑知识与技术, 2006(1): 138, 141. Jiang Xiaochan, Wan Zhenkai, Chen Li. The comparison of several edge detection methods based on matlab[J]. Computer Knowledge and Technology, 2006(1): 138, 141.