A Method for Detecting Small Slow Targets on Sea Surface Based on FC-MCNN

A Method for Detecting Small Slow Targets on Sea Surface Based on FC-MCNN

Detecting small slow targets on sea surface has always been a hot topic in radar target detection. Classical target detection methods based on single input mode are particularly prone to losing the phase information of the radar echo signal, which affects the detection performance of the radar. To s...

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Bibliographic Details
Main Authors: Qing Sun, Jing Zhao, Chunling Xue, Xueting Yang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Target detection
constant false alarm rate (CFAR)
signal processing
convolutional neural network (CNN)
support vector machine (SVM)
Online Access:https://ieeexplore.ieee.org/document/10414104/
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https://ieeexplore.ieee.org/document/10414104/

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