Robust boundary extraction of great lakes by blocking Active Contour Model using Chinese GF-3 SAR data: a case study of Danjiangkou reservoir, China

被引:4
|
作者
Niu, Shilin [1 ]
Li, Ning [1 ]
Guo, Zhengwei [1 ]
Wang, Robert [2 ]
Guo, Yuexiu [1 ]
Wu, Lin [1 ]
Zhao, Jianhui [1 ]
机构
[1] Henan Univ, Sch Comp & Informat Engn, Kaifeng 475004, Peoples R China
[2] Chinese Acad Sci, Inst Elect, Space Microwave Remote Sensing Syst Dept, Beijing 100190, Peoples R China
来源
JOURNAL OF ENGINEERING-JOE | 2019年 / 2019卷 / 20期
关键词
WATER-LEVEL; IMAGES;
D O I
10.1049/joe.2019.0467
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Chinese Gaofen-3 (GF-3) satellite is a spaceborne multi-polarisation synthetic aperture radar (SAR) mission in Cband and it can be applied in the multiple fields. GF-3 can achieve accurate water boundary extraction based on its high-resolution SAR image products. This paper will study GF-3's capability to extract water boundary. Danjiangkou reservoir, the largest artificial freshwater lake in Asia and water source of Chinese South-to-North Water Diversion Project, is selected as the study region. A novel segmentation method is proposed which consists of two parts: the first part is rough segmentation to get the initial boundary; the second part is fine segmentation to get the final water boundary. Experimental results show that GF-3 has good performance in water boundary exaction by virtue of this novel method.
引用
收藏
页码:6876 / 6879
页数:4
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