A global aerial-video registration algorithm using the optimal derivative filters is proposed.Firstly,the Hession detector based on optimal derivative filters is presented to determine the location of feature points.To ensure that the same feature points are detected in images with different focus from camera,we choose feature points that constant across the three resolutions.Then the minimum spanning tree(MST) is used to find initial matching.Once matching feature points have been found,the transformation parameters which have global minimum error are then estimated using non-linear least squares(NLLS)and random sample consensus(RANSAC)method.Finally the image registration is finished.Experimental results show that by accurately registering frames at the background using optimal derivative filter and globally-optimal transformation model,the technique is robust under different dynamic scenes and illuminations.