Fractional Order Spectrum in SAR Image Registration

Jianjun Sun, Yan Zhao, Xinbo Li, Shigang Wang, Jian Wei, Shibo Wang

Abstract: SAR image registration is an important processing procedure for change detection and target recognition. However, the registration performance is seriously influenced by Symmetric α Stable (SαS) noises in SAR images. In order to cancel the impact of SαS noises in SAR image applications, a new concept of Fractional Order Spectrum of Cumulant (FOS-C) and SAR image registration based on (FOS-C) are proposed for the first time in this paper. In the proposed method, the images are registered from coarse to precise in three steps. First, the coarse registration based on Fourier Transform is used to estimate the scaling and rotation differences between images. Second, the registration based on FOS-C is designed, and used to provide the rough position of the similar regions. Third, the normalization cross-correlation (NCC) algorithm based on FOS-C is used to achieve the fine registration. Experimental results show that our method outperforms SAR-SIFT and KAZE-SAR.