Bridge crack identification method and system based on unmanned aerial vehicle large-scale scene image

The invention relates to the technical field of civil engineering computer vision, in particular to a bridge crack identification method and system based on an unmanned aerial vehicle large-scale scene image. The bridge crack identification method based on the large-scale scene image of the unmanned aerial vehicle comprises the following steps: carrying out image acquisition on a bridge to obtain the large-scale scene image; obtaining a crack high-noise data set according to the large-scene image and a preset classification model; training the single-stage deep learning network model according to the crack high-noise data set to obtain a component crack identification model; inputting a to-be-identified bridge picture into the component crack identification model for calculation to obtain a maximum crack width value; and inputting the maximum crack width value into a display for displaying. The crack feature identification method for the concrete structure bridge combines an unmanned aerial vehicle acquisitio