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SAR重构分辨率对海冰侧向融化量预测影响研究

Research on the influence of SAR reconstruction resolution on the prediction of sea ice lateral melting quantity
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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。 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.
作者 谢涛 艾润冰 王彦 刘彬贤 Xie Tao;Ai Runbing;Wang Yan;Liu Binxian(School of Remote Sensing and Geomatics Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China;Zhumadian Meteorological Service,Zhumadian 450003,China;Tianjin Weather Modification Office,Tianjin 300074,China;Tianjin Central Observatory for Oceanic Meteorology,Tianjin 300074,China)
出处 《海洋学报》 CAS CSCD 北大核心 2021年第7期173-182,共10页
基金 国家自然科学基金项目(41675046,41776181) 天津市自然科学基金(19JCYBJC23700)。
关键词 SAR 海冰侧向融化 重构分辨率 边缘检测 SAR lateral melting of sea ice reconstruction resolution edge detection
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