Traffic road image atmospheric visibility detection method based on AOD-Net

The invention discloses a traffic road image atmospheric visibility detection method based on AOD-Net, and relates to the technical field of traffic road image atmospheric visibility detection methods. The method comprises an image training part and a visibility detection part, and specifically comprises the following steps: establishing an AOD-Net image processing model; selecting a traffic roadimage to be processed, calling AOD-Net to perform defogging processing on the image, and storing the defogged image; respectively segmenting the original image and the processed image into a 3 * 3 grid sequence image; calculating the image similarity of each grid of the original image and the processed image, and carrying out visibility discrimination; and finally, performing displaying on a system interface. The AOD-Net model based on the deep learning theory is adopted to reversely detect the atmospheric visibility, a novel method and thought are provided for detecting the atmospheric visibility of the traffic road