| 基于Sentinel-1卫星的北冰洋海冰信息提取 |
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| 引用本文： | 罗丽程,张文奇,胡勇,周颖,巩彩兰.基于Sentinel-1卫星的北冰洋海冰信息提取[J].上海航天,2018(3):16-22. |
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| 作者姓名： | 罗丽程 张文奇 胡勇 周颖 巩彩兰 |
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| 作者单位： | 中国科学院上海技术物理研究所;中国科学院大学;中国科学院红外探测与成像技术重点实验室;武汉大学遥感信息工程学院 |
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| 基金项目： | 国家自然科学基金(41401490) |
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| 摘 要： | 为研究北极海冰分布、形态特征的变化规律,基于Sentinel-1卫星的SAR数据,对弗雷姆海峡区域的海冰进行长时间序列的提取及变化分析。对试验影像预处理,利用K-均值聚类算法提取海冰。基于浮冰面积大小,将浮冰进行分类,研究各参数与海冰破碎物理过程的关系,海冰分布以密集度体现,海冰的形态特征以面积、周长、圆度等参数描述。结果表明:利用高分辨率SAR数据,能获取精细的海冰分布信息,将其与传统的海冰密集度产品结合,可构造信息更丰富的多尺度冰情图,为极地海冰监测提供支持,对维护北极航道安全、分析北冰洋海冰气候效应等有重要意义。
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| 关 键 词： | 北极 Sentinel-1卫星 微波遥感 海冰 合成孔径雷达 遥感应用 |
| 收稿时间： | 2018/3/1 0:00:00 |
| 修稿时间： | 2018/4/21 0:00:00 |
Information Extraction of Arctic Sea Ice Based on Sentinel-1 Satellite |
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| LUO Licheng,ZHANG Wenqi,HU Yong,ZHOU Ying and GONG Cailan.Information Extraction of Arctic Sea Ice Based on Sentinel-1 Satellite[J].Aerospace Shanghai,2018(3):16-22. |
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| Authors: | LUO Licheng ZHANG Wenqi HU Yong ZHOU Ying and GONG Cailan |
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| Institution: | Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China;University of Chinese Academy of Sciences, Beijing 100049, China;Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China,Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China;University of Chinese Academy of Sciences, Beijing 100049, China;Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China,Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China;Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China,School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430072, Hubei, China and Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China;Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China |
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| Abstract: | In order to study the distribution and morphological characteristics of Arctic sea ice over time, a long time serial images from Sentinel-1 satellite are used to study the extraction and change of sea ice in the Fram channel region in this paper. After the image preprocessing, the sea ice is extracted by K-Means clustering algorithm. The distribution of sea ice is described in sea ice concentration. The morphological features of sea ice in floating ice area are characterized by area, perimeter and roundness. According to the classification of sea ice area, the variation of each parameter with time is analyzed. In addition, the relationship between the parameters and the physical process of ice breaking is studied. The results show that, based on high resolution SAR data, fine sea ice distribution can be obtained. Combining it with traditional sea ice concentration products, the multi-scale ice map with more abundant information can be constructed. It can provide support for polar sea ice monitoring. It is of great significance for maintaining the safety of Arctic waterway and analyzing the climate effect of Arctic sea ice. |
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| Keywords: | Arctic Sentinel-1 satellite microwave remote sensing sea ice synthetic aperture radar(SAR) remote sensing application |
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