A Target Location Method for UAV Based on Image Registration
Hailin Li · Ship Electronic Engineering · 2012
Aiming at there are variations of scale,rotation and illumination between unmanned aerial vehicles(UAV) images and reference images in the process of target location,an image registration method based on improved SIFT algorithm is proposed.In the feature point matching,the quasi-Euclidean distance instead of Europe is as the similarity measure of feature descriptors to improve the SIFT feature matching efficiency,and it matches feature points according to a coarse-to-fine DoG structure.Experimental results show that the presented method is robust under noises,illumination variations and local scene changes.Hence,the method can be used in target location for UAV.