Automatic Optimization for Affine Invariant Feature Matching on Remote Sensing Imagery

An automated optimization method for affine invariant feature matching on remote sensing imagery is proposed.The correct matching rate is developed as an evaluation criterion of the optimized processing for affine invariant feature matching,which guarantees the quality of the optimized processing and realizes automated processing.Overlap rate is calculated by projecting a local region onto the corresponding region based on homograhpy,upon which a correct matching rate is determined.For different purposes,two classical optimization solutions are introduced.The algorithm for each solution is implemented based on the proposed method.By using one stereo satellite image and two stereo aerial images with different types,the experiment indicates that the results of feature matching can be optimized automated and accurately by our method according to corresponding optimization solution.