Results 171 to 180 of about 478 (223)

Sea Clutter Suppression for Radar PPI Images Based on SCS-GAN

IEEE Geoscience and Remote Sensing Letters, 2021
The problem of strong sea clutter, e.g., sea spikes, may bring in low signal-to-clutter ratio (SCR) and cause great interference to radar marine target detection. However, the sea clutter suppression ability of current algorithms is limited with poor generalization under complex marine environment.
Xiaolong Chen, Xiaoqian Mu, Ningbo Liu
exaly   +3 more sources

A Machine Learning Approach to Radar Sea Clutter Suppression

2017 IEEE Radar Conference (RadarConf), 2017
The radar detection of small maritime targets requires special attention to the suppression of sea clutter returns that, in certain circumstances, may be difficult to discriminate from target returns. In this paper, the novel use of machine learning techniques is explored to address this familiar problem.
J Bürger
exaly   +2 more sources

A Novel Sea Clutter Suppression Method Based on Neural Network

2021 IEEE 4th International Conference on Electronic Information and Communication Technology (ICEICT), 2021
In order to suppress sea clutter effectively, it is necessary to estimate the center and width of the power spectrum of sea clutter accurately. Since the complex property of sea clutter, traditional methods cannot estimate the accurate parameters of power spectrum of sea clutter, which leads to the decrease of the clutter suppression performance.
Tao Mingliang, Yifei Fan, Jia Su
exaly   +2 more sources

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