When the error bound of location deviation is known, the original point pattern relaxation matching algorithm is improved to obtain better matching performance.
研究了在已知最大定位误差的情况下时，如何对基本点特征松弛匹配算法进行改进，以提高匹配性能。
The known error bound of location deviation is used to determine the minimum matching merit for two point pairs so that the effect of spurious feature points can be reduced.
基本思想是利用已知的最大定位误差，确定两点对的最小匹配度量，从而减小虚假特征点对匹配结果的影响。
Aimed at the characteristic of bigger single point location error, a new measuring method using two points relative location measurement to reduce location measurement error was put forward.
针对单点定位误差比较大的特点，提出了用两点相对定位的测量方法来减小定位误差。
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