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Outlier detection in 3D coordinate transformation with fuzzy logic

机译:具有模糊逻辑的3D坐标变换中的异常值检测

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Coordinate measurements inevitably contain outliers that affect the results of transformation. Conventional methods based on theleasts squared method determine the outliers by minimizing the selected objective function. Fuzzy Logic can be used to analyze theoutliers. In this study, several outlier detection methods are described and applied to a real case consisting of a triangulation network.Results show that for outlier detection methods are not as efficient as Fuzzy provides a non-iterative solution in contrast to conventionalmethods.
机译:坐标测量不可避免地包含影响变换结果的离群值。基于最小二乘法的传统方法通过最小化所选目标函数来确定离群值。模糊逻辑可用于分析异常值。在这项研究中,描述了几种离群值检测方法并将其应用于由三角网组成的实际案例中。结果表明,与常规方法相比,离群值检测方法不像Fuzzy提供非迭代解决方案那样有效。

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