Hybrid approach for remote sensing image registration

摘要

Remote sensing image registration is the key issue for change detection. To reduce the effects of misregistration on the accuracy of change detection, a hybrid registration method is proposed in this paper. First, we use the registration approach based on SIFT(Scale Invariant Feature Transform) to get the initial parameters, and then area-based method is employed to refine the performance of registration. In order to improve the efficiency of computation, the multiresolution based coarse-to-fine strategy is adopted during the refined procedure. In contrast with feature-based or area-based method, our hybrid method is accurate, robust and automated since it integrates the merits of both approaches. The experiments on simulated and real images show the promising performance of the proposed method.