globalchange  > 气候变化与战略
CSCD记录号: CSCD:5327692
论文题名:
基于TerraSAR-X影像的格陵兰岛海岸水边线提取
其他题名: EXTRACTION OF THE GREENLAND COASTLINE BASED ON TERRASAR-X IMAGERY
作者: 盛佳1; 洪中华2; 张云2; 袁国良1
刊名: 极地研究
ISSN: 1007-7073
出版年: 2014
卷: 26, 期:4, 页码:1043-1052
语种: 中文
中文关键词: 海岸水边线提取 ; 相干斑 ; 支持向量机(SVM) ; 边缘检测
英文关键词: Canny ; coastal water boundary line extraction ; speckle ; Support Vector Machine ( SVM) ; Canny edge detection
WOS学科分类: MULTIDISCIPLINARY SCIENCES
WOS研究方向: Science & Technology - Other Topics
中文摘要: 海岸线是海洋与陆地的交界线,全球气候变化将引起海岸线的变迁,极地区域拥有最大的冰川,冰川的消融将导致全球海岸线的迅速变迁,因此研究极地海岸线具有重要的科学意义。由于潮汐等影响,卫星影像提取的海洋与陆地的交界线只是海岸水边线,本文以格陵兰岛海岸为实验对象,采用Gamma滤波方法对合成孔径雷达(SAR)数据的相干斑进行预处理,提出了应用支持向量机(SVM)和Сarnny边缘检测算子的海岸水边线提取方法,基于TerraSAR-X影像的实验结果表明,本文提取的格陵兰海岸水边线准确率都达60%以上。
英文摘要: Global climate change will cause changes in coastlines, the boundary between land and sea. Polar regions have the largest glaciers, and melting of these glaciers could lead to rapid changes in coastlines throughout the world. Therefore,research on polar coastlines is important. Satellite images can be used to determine the coastal water boundary line. In this paper, we investigated the coast of Greenland using the Gamma filtering method for speckle preprocessing of Synthetic Aperture Radar ( SAR) data. We present a method combining the Support Vector Machine (SVM) and the Canny edge detection operator to extract the coastal water boundary line. Using this approach,the extraction accuracy of the Greenland coastline from TerraSAR-X images was up to 60 percent.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/147971
Appears in Collections:气候变化与战略

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作者单位: 1.上海海事大学, 上海 201306, 中国
2.上海海洋大学, 上海 201306, 中国

Recommended Citation:
盛佳,洪中华,张云,等. 基于TerraSAR-X影像的格陵兰岛海岸水边线提取[J]. 极地研究,2014-01-01,26(4):1043-1052
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