Weak target detection method and system based on mixed attention and harmonic factors

The invention belongs to the technical field related to computer vision, and discloses a weak target detection method based on mixed attention and harmonic factors, which comprises the following steps: acquiring images to form a data set, and then labeling a target to be detected; dividing the detection network into a feature extraction unit, a feature fusion unit and a prediction branch unit, and introducing a mixed attention mechanism to complete the construction of the detection network; training the detection network by adopting a data driving mode, and generating a final detection model; and detecting a real-time image imaged by the sensor by using the final detection model to obtain a weak target existing in the image. The invention further discloses a corresponding system. Through the method, the problems of small target pixel proportion, low target signal intensity, difficulty in target feature extraction, low target and background discrimination and the like of the weak target in a typical task scene