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

The Journal of Engineering

Robert Wang¹  Shilin Niu²  Yuexiu Guo²  Zhengwei Guo²  Lin Wu²  Ning Li²  Jianhui Zhao² 

[1] Institute of Electronics;School of Computer and Information Engineering, Henan University;

关键词: radar imaging;    remote sensing by radar;    lakes;    geophysical image processing;    image segmentation;    reservoirs;    synthetic aperture radar;    feature extraction;    water resources;    water quality;    hydrological techniques;    robust boundary extraction;    active contour model;    chinese gf-3 sar data;    multipolarisation synthetic aperture radar mission;    high-resolution sar image products;    water source;    south-to-north water diversion project;    initial boundary;    final water boundary;    danjiangkou reservoir;    chinese gaofen-3 satellite;    gf-3 satellite;    artificial freshwater lake;    water boundary extraction;   

DOI  :  10.1049/joe.2019.0467

来源: DOAJ

【 摘 要 】

Chinese Gaofen-3 (GF-3) satellite is a spaceborne multi-polarisation synthetic aperture radar (SAR) mission in C-band 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.

【 授权许可】

Unknown