Air combat threat target identification method based on convolutional neural network

The invention discloses an air combat threat target identification method based on a convolutional neural network, and the method comprises the steps: adding an attention mechanism in a backbone network of a ResNet model, enhancing the feature expression capability of a region of interest, reducing the influence of useless information on an identification result, and improving the region focusing capability of a detection model; and then, at the end of the ResNet model, changing a structure of a single full connection layer into a structure of double full connection layers, and carrying out feature mapping on the threat type and the guidance type of the air combat threat target, so that the recognition capability of the model is improved, and the convergence of the model is accelerated. Through the two methods, the improved ResNet model is obtained, the air combat threat target type can be identified by using the improved ResNet model, and an air combat threat target identification task is realized. The metho