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Leveraging Multiple PRF Radar for Target Detection and Sea Clutter Suppression with Deep Learning Network

Information and Communication Technology Convergence
In this paper, we propose a deep learning-based network that combines multiple pulse repetition frequency (PRF) and velocity resolution uniformization (VRU) techniques to improve target detection in the presence of sea clutter, particularly in scenarios ...
Hyeonho Noh   +4 more
semanticscholar   +1 more source

Sea Clutter Suppression Based on Radon Transform at High Grazing Angles

2006 CIE International Conference on Radar, 2006
During final guidance, as radar working over sea surface at a very high grazing angle, it is hardly to distinguish target from clutter background due to the strong reflection of the sea surface. A novel method is presented to suppress the sea clutter in this paper. The proposed method based on Radon transform utilizes edge detection technique to find a
null Li Qiang   +3 more
openaire   +1 more source

Sea Clutter Suppression for Marine Surveillance Radar Based on Densenet and Wavelet Transform

IEEE International Geoscience and Remote Sensing Symposium
Marine surveillance radar can monitor the maritime environment under all weather conditions, but the presence of sea clutter significantly impacts its target detection performance.
Zihai Wang   +3 more
semanticscholar   +1 more source

A sea clutter suppression algorithm based on sparse representation

International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), 2022
Jingyi Yan   +4 more
openaire   +1 more source

An Alternating Proximal Method for Sea Clutter Suppression in Over-the-Horizon Radar Systems

IEEE Geoscience and Remote Sensing Letters
The over-the-horizon (OTH) radar systems are seriously affected by sea clutter. The precise estimation of sea clutter covariance (SCC) plays an important role in suppressing the sea clutter, especially in the case of limited samples.
Ruobing Guan   +4 more
semanticscholar   +1 more source

A Novel Automatic Sea Clutter Suppression method Based on Relative Entropy of Radar Plots

International Service Availability Symposium
Marine navigation radars are widely used in the field of ship navigation. Navigation radars monitor sea surface targets in real time, enabling ship navigation functions while also providing collision avoidance capabilities to ensure the safety of ship ...
Hongxia Li, Li Wang
semanticscholar   +1 more source

Matrix Sparse Model Based Spatio-Temporal Spectrum Recovery Method for Bisar Sea Clutter Suppression

IEEE International Geoscience and Remote Sensing Symposium
Sea clutter suppression plays a crucial role in maritime moving target indication. However, in the bistatic SAR (BiSAR) system, traditional space-time adaptive processing (STAP) method can’t satisfy the expected performance due to severe range cell ...
Junao Li   +3 more
semanticscholar   +1 more source

A Sea Clutter Suppression Method based on Neighborhood Self-supervised for Ship Detection in SAR Images

IEEE International Conference on Electronic Information and Communication Technology
Ship detection in Synthetic Aperture Radar (SAR) images plays a considerable role in ocean monitoring and maritime management. However, due to the complex distributions of sea clutter and the low signal-to-clutter ratio of targets, high-precision ship ...
Luwei Wang, Qian Guo, Hui Bi, Yong Li
semanticscholar   +1 more source

An End-to-End Sea Clutter Suppression Method Using Wavelet Convolution-Enhanced Attentional Complex-Valued Neural Network

IEEE Geoscience and Remote Sensing Letters
Marine radar is widely employed in ocean monitoring systems. However, sea clutter significantly impairs radar data interpretability and degrades maritime target detection performance.
Haoxuan Xu, Meiguo Gao
semanticscholar   +1 more source

A Target Detection Method Based on Feature Transformation for Sea Clutter Suppression

IEEE Signal Processing Letters
To address the poor performance of conventional sea clutter suppression methods when target echoes share the same frequency as sea clutter, this letter proposes a suppression approach based on feature transformation.
Zhen Li   +4 more
semanticscholar   +1 more source

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