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遥感技术与应用  2010, Vol. 25 Issue (2): 235-239    DOI: 10.11873/j.issn.1004-0323.2010.2.235
研究与应用     
基于ETM遥感影像的海岸线提取与验证研究

王李娟1,牛 铮1,赵德刚2,李英霞1,王忠波3,旷 达1
1.中国科学院遥感应用研究所遥感科学国家重点实验室,北京 100101;
2.南昌大学建筑工程学院,江西 南昌 330031;
3.嘉兴市国土资源局土地勘测信息中心,浙江 嘉兴 314000
The Study of Coastline Extraction and Validation Using ETM Remote Sensing Image
WANG Li-juan1,NIU   Zheng1,ZHAO De-gang2,LI Ying-xia1,WANG Zhong-bo3,KUANG   Da1
1.The State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing Applications, Chinese Academy of Sciences,Beijing 100101,China;2.College of Civil Engineering and Architecture,Nanchang University,Nanchang 330031,China;3.The Bureau of Land and Resources Jiaxing Information Centre of Land Reconnaissance and Survey,Jiaxing 314000,China
 全文: PDF(2841 KB)  
摘要:

利用ETM遥感数据,以黄河三角洲为研究区域,运用边缘检测方法中的Soble算法和修复归一化水体指数法(MNDWI)两种方法对该地区的两种海岸线类型——人工海岸和淤泥质海岸进行海岸线提取研究,并验证评价海岸线提取效果。结果表明,Soble算法提取的海岸线准确度更高,在淤泥质海岸提取中表现更为明显,相对误差由0.025%降低为0.018%。

关键词: 海岸线提取Soble算子MNDWI    
Abstract:

Using the ETM remote sensing image and two kinds of methods—Soble arithmetic which is one of the edge detection methods and MNDWI,there is going to research the coastline extraction in Yellow River delta which has artificial coastline and muddy coastline,then validate and evaluate the coastline extractions.The result indicates that the Soble arithmetic is more accurate.This is especially obvious in the muddy coastline,and we can find that the relative error has reduced to 0.018% from 0.025%.

Key words: Coastline extraction    Soble arithmetic    MNDWI
收稿日期: 2009-11-20 出版日期: 2010-10-19
基金资助:

国家重点基础研究发展计划项目(2007CB714406),国家科技支撑计划(2008BAC34B03),国家自然科学基金(40971202),欧盟项目CEOP-AEGIS(FP7-ENV-2007-1 Grant nr.212921)。

作者简介: 王李娟(1984-),女,硕士研究生,主要从事遥感应用方面的研究。E-mail:muzixin8866@163.com。
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引用本文:

王李娟, 牛 铮, 赵德刚, 李英霞, 王忠波, 旷 达. 基于ETM遥感影像的海岸线提取与验证研究[J]. 遥感技术与应用, 2010, 25(2): 235-239.

WANG Li-juan, NIU Zheng, ZHAO De-gang, LI Ying-xia, WANG Zhong-bo, KUANG D . The Study of Coastline Extraction and Validation Using ETM Remote Sensing Image. Remote Sensing Technology and Application, 2010, 25(2): 235-239.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2010.2.235        http://www.rsta.ac.cn/CN/Y2010/V25/I2/235

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