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
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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 |
DOI | 10.1080/2150704x.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
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