Method for establishing target pre-judgment optimization model based on full feature fusion

The invention discloses a method for establishing a target pre-judgment optimization model based on full feature fusion, and the method comprises the steps: 1, collecting a plurality of to-be-recognized images, and determining an irregular salient pixel cluster of each to-be-recognized image; 2, performing de-noising enhancement processing on the to-be-recognized image to obtain a de-noised and enhanced image; 3, introducing a quality function, converting the de-noised and enhanced image into a space sequence, and obtaining time sequence information, empty sequence information and an initial pre-judgment model based on the space sequence; 4, fusing the time sequence information and the empty sequence information into the initial pre-judgment model, and fusing the image frames of all the to-be-identified images into the initial pre-judgment model under the condition that the time sequence information is reserved to obtain a target pre-judgment model based on full-feature fusion; and 5, performing intelligent o