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Two-stage correlation method in low SNR for fast image registration

机译:低信噪比的两阶段相关法快速图像配准

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A two-stage correlation method which can realize fast registration of two digital images in the case of low SNR (signal-to-noise ratio) is proposed, and a new algorithm for roughly searching for a registration position-sequential measure test algorithm (SMTA) is given. Monte-Carlo simulation has shown that the method is over two orders of magnitude faster than the optimal MSD algorithm and far faster than the sequential SSDA, and that its performance is almost as good as the optimal MSD. It can perform well under the condition that the SNR is so low and the length of subimage data is so short that SSDA cannot be used to match at all. The fast correlation method virtually satisfies the demands of some navigation, tracking, and guidance systems for real-time matching.
机译:提出了一种在信噪比低的情况下可以实现两幅数字图像快速配准的两阶段关联方法,提出了一种新的粗略搜索配准位置顺序测量测试算法的算法。 ) 给出。蒙特卡洛仿真显示,该方法比最佳MSD算法快两个数量级,并且比顺序SSDA快得多,并且其性能几乎与最佳MSD一样好。在SNR如此之低且子图像数据的长度如此之短以至于SSDA根本无法匹配的情况下,它可以表现良好。快速相关方法实际上满足了某些导航,跟踪和制导系统进行实时匹配的需求。

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