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- W4312836314 abstract "This letter considers the problem of the target detection in the nonhomogeneous sea clutter environment, and proposes the complex-valued U-Net based clutter suppression method. Specifically, firstly, the complex signal features of radar echo sequences are extracted by developing the complex-valued convolutional blocks. Secondly, the complex multi-level features are fused, by employing the up-down sampling structure and skip connections, to suppress nonhomogeneous sea clutter. Further, the false alarm controllable detector is designed to detect the targets. Finally, the performance of the proposed method is evaluated via real data. The results show that it has a higher detection probability compared with the real-valued U-Net." @default.
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- W4312836314 date "2022-01-01" @default.
- W4312836314 modified "2023-10-16" @default.
- W4312836314 title "Nonhomogeneous Sea Clutter Suppression Using Complex-Valued U-Net Model" @default.
- W4312836314 doi "https://doi.org/10.1109/lgrs.2022.3214633" @default.
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