Research on the Identification Method of the Key Parts of Unmanned Ships for Sea Operations
The identification technology of the key parts of ships is the key to exert weapon combat effectiveness of unmanned ships for sea operations.A triangular anchor method based on RDB-YOLOv4 model is proposed to solve such problems as limited target detection angle and poor real-time performance in existing technologies.The visible light-infrared dual channel parallel attention mecha-nism is used to re-cluster the reconnaissance images of unmanned ships,so as to identify the types of ship targets.Based on the characteristic information and position relation of the detected targets,the threshold control method is used to construct the three anchor points with strong immunity.The relative orientation,pitch angle and other parameters of the ship targets are obtained by using plane geometric similarity calculation.In view of the feature position relationship of the reference group,the precise lo-cation of the key parts of the ship is realized by establishing the normalization feature correlation func-tion.The experimental results show that the proposed method reduces the randomness of the identifica-tion of the key parts of the ship targets,can realize the identification of the specific key parts efficiently and accurately,and can provide necessary support for the precise strike on the surface targets.
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