Two Deep CNN models, LeNet and GoogLeNet are trained and used for the detection of maritime targets, and their performances are compared. Then the method is�...
Apr 27, 2019 � In this paper, convolutional neural networks are used for the detection of maritime target micro-Doppler. Firstly, using the IPIX measured sea�...
In this paper, convolutional neural networks are used for the detection of maritime target micro-Doppler, and the proposed method can achieve high detection�...
Feb 20, 2019 � Deep CNN-based Radar Detection for Real Maritime Target under Different Sea States and Polarizations � Abstract and Figures � Citations (7)�...
Deep CNN-Based Radar Detection for Real Maritime Target Under ...
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Deep CNN-Based Radar Detection for Real Maritime Target Under Different Sea States and Polarizations. https://doi.org/10.1007/978-981-13-7986-4_29.
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Jul 26, 2023 � We propose a maritime radar target detection method in sea clutter based on deep learning. To better model the sequence correlation of radar echoes.
A model for multitask target detection based on convolutional neural network (CNN), which works directly with radar echo data and eliminates the need for�...
Deep CNN-based radar detection for real maritime target under different sea states and polarizations. Proc 4th Int Conf on Cognitive Systems and Signal�...
The experimental results demonstrated that the CNN-based detector has better detection performance and measuring accuracy in range, velocity, azimuth and�...
Recent research shows that the CNN method can detect ships at sea level but cannot see in detail the movements and types of vessels recorded by the image (Li et�...