CIOMP OpenIR
River detection in high-resolution SAR data using the Frangi filter and shearlet features
Y.H.Liu; L.B.Peng; S.Q.Huang; X.Y.Wang; Y.Q.Wang; Z.M.Peng
2019
发表期刊Remote Sensing Letters
ISSN2150-704X
卷号10期号:10页码:949-958
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.
关键词extraction,Remote Sensing,Imaging Science & Photographic Technology
DOI10.1080/2150704x.2019.1635286
收录类别SCI ; EI
语种英语
引用统计
文献类型期刊论文
条目标识符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.
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