Research on UAV Remote Sensing Image Registration Based on BBF Optimization Algorithm
Aiming at the problems of brightness,scale and image overlap in UAV remote sensing images,the best bin first(BBF)optimization algorithm is used to design the UAV remote sensing image registration method.According to UAV remote sensing ima-ging principle,the UAV remote sensing image is obtained as a registration object,and the initial remote sensing image is preprocessed by the image fusion and correction.The SIFT feature points and contour features of UAV remote sensing images are extracted,the BBF optimization algorithm is adopted to search the feature matching pairs between current image and reference image to complete the feature matching of the image.Finally,through three steps of rough matching,fine matching and eliminating wrong matching points,the registration results of UAV remote sensing images are obtained.The results show that the accuracy of feature matching points of the optimization method is 5.15％and the missing matching rate is 3.75％,which is significantly better than that of traditional regis-tration algorithms.
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