中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
River detection in high-resolution SAR data using the Frangi filter and shearlet features

文献类型:期刊论文

作者Y.H.Liu; L.B.Peng; S.Q.Huang; X.Y.Wang; Y.Q.Wang; Z.M.Peng
刊名Remote Sensing Letters
出版日期2019
卷号10期号:10页码:949-958
关键词extraction,Remote Sensing,Imaging Science & Photographic Technology
ISSN号2150-704X
DOI10.1080/2150704x.2019.1635286
英文摘要River extraction plays an important role in several applications such as monitoring and navigation, and synthetic aperture radar (SAR) is one of the major sensors of remote sensing. This paper proposes an algorithm to detect a river from high-resolution SAR images mainly based on the Frangi filter and shearlet features with the help of an active contour model (ACM). The Frangi filter is firstly applied to enhance the river and then the shearlet features are computed by the shearlet transform. A rule of feature selection is then proposed to acquire the corresponding features of the river. Finally, binarization and an active contour model are implemented to extract the river. The approach is tested on SAR images and the experimental results demonstrate that the proposed method is effective.
语种英语
源URL[http://ir.ciomp.ac.cn/handle/181722/63169]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
Y.H.Liu,L.B.Peng,S.Q.Huang,et al. River detection in high-resolution SAR data using the Frangi filter and shearlet features[J]. Remote Sensing Letters,2019,10(10):949-958.
APA Y.H.Liu,L.B.Peng,S.Q.Huang,X.Y.Wang,Y.Q.Wang,&Z.M.Peng.(2019).River detection in high-resolution SAR data using the Frangi filter and shearlet features.Remote Sensing Letters,10(10),949-958.
MLA Y.H.Liu,et al."River detection in high-resolution SAR data using the Frangi filter and shearlet features".Remote Sensing Letters 10.10(2019):949-958.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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