A new modeling method based on Transformer encoders is proposed for ship recognition based on the Transformer model's excellent serial-data correlation preserving ability and the ability to capture global features.Firstly,the encoder is used to model the ship's high resolution range profile data,and then position coding is used to record the position information between differ-ent sequences.Finally,the self-attention mechanism is used to model the whole ship's high resolution range profile sequence.The experimental data show that the recognition accuracy of the proposed model is 95.98%.It has excellent recognition performance.
关键词
Transformer/舰船识别/高分辨距离像/自注意力机制
Key words
Transformer/ship recognition/high resolution range profile/self-attention mechanism
维普
万方数据