A multiscale region-based approach to automatic SAR image registration using CLPSO

In this paper, a novel approach to automatic SAR image registration is proposed. First, the bi-temporal images are decomposed by wavelet transform. Then, the sensed image and its wavelet approximation component are divided to some saliency region based on spectrum residua approach. And the saliency regions are fitted into ellipses. Finally, the region matching is performed by searching the corresponding regions in the reference image at every layer by the comprehensive learning particle swarm optimization (CLPSO) twice. Thus, the registration in every layer is a coarse-to-fine process, which effectively improves the efficiency, accuracy and stability. The proposed technique is validated by testing on real SAR images and compared with existing state-of-the-art techniques.