风云三号卫星MERSI影像提取北极海冰参数的方法研究
Received:January 27, 2016  Revised:June 12, 2016  点此下载全文
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Author NameAffiliationE-mail
Zhou Ying School of Remote Sensing and Information Engineering,Wuhan University zhouying_85@126.com 
Kuang Ding-Bo Laboratory of Remote Sensing Information,Shanghai Institute of Technical Physics of the Chinese Academic of Sciences  
Gong Cai-Lan Laboratory of Remote Sensing Information,Shanghai Institute of Technical Physics of the Chinese Academic of Sciences gcl@mail.sitp.ac.cn 
Hu Yong Laboratory of Remote Sensing Information,Shanghai Institute of Technical Physics of the Chinese Academic of Sciences  
Fang Sheng-Hui School of Remote Sensing and Information Engineering,Wuhan University  
Zhang Yi School of Remote Sensing and Information Engineering,Wuhan University  
Peng Yi School of Remote Sensing and Information Engineering,Wuhan University  
基金项目:国家自然科学基金(41401490);中国科学院上海技术物理研究所创新专项项目(Q-ZY-52)
中文摘要:风云三号卫星MERSI影像的空间分辨率达到250m,不仅可以长期宏观监测海冰整体分布变化,而且能够观测分析破碎冰块的面积、圆度等细节形态特征。从海冰光谱特征和冰块灰度分布特征出发,给出MERSI影像提取海冰整体分布参数和冰块形态参数方法,包括海冰识别、冰块分离提取以及海冰参数提取,利用这些方法成功提取了2014年夏季弗拉姆海峡海冰边缘区的海冰细节信息。给出的方法可为研究分析北极海冰变化及海气相互作用提供方法支持和信息保障。
中文关键词:MERSI影像  海冰分布  冰块形态  特征参数  北极
 
Study on the method to extract parameters of Arctic sea ice from FY-3/MERSI imagery
Abstract:With high spatial resolution of 250 m, MERSI images obtained from FY-3 satellite not only can be used to monitor long term and large scale sea ice distribution, but shape detail characteristics, such as ice block area and roundness, can be extracted and analyzed from these data. Based on the spectralSfeature of sea ice and gray distribution feature of ice block, an integral method and process for extracting the macroscopic sea ice distribution and detail ice block shape parameters was proposed in this paper. This method consisted of sea ice recognition, ice block detection and sea ice parameters extraction. In the summer of 2014, the detail sea ice information of the marginal ice zone in the Fram Strait was extracted accurately by using the proposed method. And consequently this method can provide methodological support and information security for the study on the change of Arctic sea ice and interaction between atmosphere and ocean.
keywords:MERSI imagery  sea ice distribution  ice block shape  characteristic parameter  Arctic
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Copyright:《Journal of Infrared And Millimeter Waves》