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本文首先导出了噪声中图象匹配的最佳算法,然后给出了两种在低SNR和短数据条件下实现两幅数字图象快速配准的组合相关方法。在实际地形图上的大量仿真匹配结果证明,这两种方法至少比最佳算法快两个数量级,精度也几乎达到最佳。满足了某些导航和精确制导问题中对实时配准的要求。
In this paper, we first derive the best algorithm of image matching in noise, and then present two combined correlation methods for fast registration of two digital images with low SNR and short data. The large number of simulated matches on the actual topographic maps prove that these two methods are at least two orders of magnitude faster than the best ones and their accuracy is almost optimal. Meet the requirements for real-time registration in some navigation and precision guidance problems.