A Helicopter Target Detection Method of Over-the-Horizon Radar Based on Deep Learning
Aiming at the difficulty of low-speed target detection and recognition of Over-the-Horizon Radar(OTHR),a helicopter target detection method based on deep learning is proposed.According to the helicopter target spectrum characteristics of OTHR,a special neural network HDNet for OTHR helicopter target detection is designed.The range-Doppler spectrum of the helicopter target is simulated and the dataset is constructed,the dataset is used as the source domain to be transfered to the real measured data.The network model is trained and tested.After the test and validation,the Ap@0.5 of the HDNet network for the simulated helicopter targets detection can reach 92.1％.After fine-tuning the model based on the deep transfer learning method,the detection effect of the network model for the measured data detection is improved obviously.
deep learningOTHRhelicopter targetrange-doppler diagramtarget detection
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