Underwater target tracking method based on channel perception

The invention discloses an underwater target tracking method based on channel perception. The method comprises the following steps: S1, enhancing an underwater fuzzy distorted image; s2, constructing a network model, and performing feature extraction on the template image and the test image by using a backbone network AlexNet; s3, constructing a channel sensing module, and integrating the channel sensing module into the network model; s4, performing off-line training on the network model fused into the channel sensing module by using the large-scale data set; and S5, tracking the selected underwater target by using the trained model, generating a rectangular frame surrounding the target, and obtaining a tracking result. The method solves the problems that an existing tracking algorithm does not have an image preprocessing mechanism and cannot be well applied underwater, and the target tracking result is not accurate enough due to the complex underwater environment. 本发明公开了一种基于通道感知的水下目标跟踪方法，包括如下步骤：步骤S1、对水下模糊失真的