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MAXIMUM LIKELIHOOD ESTIMATION FOR INSAR IMAGE CO-REGISTRATION 被引量:1
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作者 Li Xinglin Song Hongjun +3 位作者 Robert Wang Shao Yunfeng Zhang Zhiguang Yan He 《Journal of Electronics(China)》 2013年第6期553-560,共8页
This paper presents a closed-form robust phase correlation based algorithm for performing image registration to subpixel accuracy.The subpixel translational shift information is directly obtained from the phase of the... This paper presents a closed-form robust phase correlation based algorithm for performing image registration to subpixel accuracy.The subpixel translational shift information is directly obtained from the phase of the normalized cross power spectrum by using Maximum Likelihood Estimation(MLE).The proposed algorithm also has slighter time complexity.Experimental results show that the proposed algorithm yields superior registration precision on the Cramér-Rao Bound(CRB) in the presence of aliasing and noise. 展开更多
关键词 Cramer-Rao Bound (CRB) Interferometric Synthetic Aperture Radar (InSAR) Maximum Likelihood Estimation (MLE) Phase correlation subpixel image registration
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