Title | ||
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SAR RFI Suppression for Extended Scene Using Interferometric Data via Joint Low-Rank and Sparse Optimization |
Abstract | ||
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Radio frequency interference (RFI) can significantly pollute synthetic aperture radar (SAR) data and images, which is also harmful to SAR interferometry (InSAR) for retrieving elevational information. To address this issue, in recent years, a class of advanced RFI suppression methods has been proposed based on narrowband properties of RFI and sparsity assumptions of radar echoes or target reflecti... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/LGRS.2020.3011547 | IEEE Geoscience and Remote Sensing Letters |
Keywords | DocType | Volume |
Synthetic aperture radar,Discrete cosine transforms,Mathematical model,Optimization,Radar imaging,Data models | Journal | 18 |
Issue | ISSN | Citations |
11 | 1545-598X | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Huizhang Yang | 1 | 2 | 2.73 |
Chengzhi Chen | 2 | 2 | 2.05 |
Shengyao Chen | 3 | 65 | 13.93 |
Feng Xi | 4 | 44 | 11.75 |
Zhong Liu | 5 | 1 | 2.71 |