Research On Aerial Image Stitching Technology Of UAV And Its Application In Highway Pavement Monitoring

Image stitching is a key technology to solve the limitation between imaging range and image resolution in the process of UAV aerial image.The efficiency of image stitching algorithm affects the quality of stitched images.However,the current aerial image stitching algorithm has low accuracy.The overall efficiency is low,which has a certain impact on the application of image stitching technology.This article focuses on the improvement of the aerial image stitching algorithm and its application in highway monitoring.In the process of image stitching algorithm,in order to avoid the influence of feature points outside the overlapped area on the time of image registration and matching accuracy,this paper calculates the effective area between images before feature points extraction.Through this,the mismatching of feature points in similar areas between images is avoided.In order to improve the accuracy between images,this paper uses the uniqueness of sparse coefficient in sparse representation to match feature points.This method can avoid the mismatching of feature points in similar areas between images and improve the registration accuracy.In the part of image fusion,combining the advantages of the two fusion algorithms in the spatial domain and the transform domain,the image fusion algorithm is improved.The aerial images are fused to obtain a stitched image,and the efficiency of the stitching algorithm is improved through experiments.The aerial image stitching algorithm is applied to the stitching of aerial road surface monitoring images to solve the limitation of current monitoring methods and improve the efficiency of monitoring.In view of the difference in image processing from the existing vehicle-mounted system,according to the characteristics of aerial image road surface,different image processing methods are adopted to use the spliced road surface image for road surface monitoring to realize highway road surface monitoring based on the aerial image stitching of UAV.Through the experiment on aerial images,this paper proves that the improved stitching algorithm can reduce the time,improve the accuracy of stitching,and improve the quality of stitched images.The improved algorithm is applied to the road image stitching process of highway monitoring,which improves the deficiencies of the existing monitoring methods and provides a reference for improving the efficiency of highway monitoring.