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激光扫描数据的脉冲噪声过滤

Filtering Impulse Noise of Laser Scanned Data

  • 摘要: 在分析冯雷的算法和移动最小二乘中位数法(MLMS)的基础上,提出一种能有效剔除脉冲噪声的算法.该算法利用统计学方法中的数据统计特性和噪声统计特性来解决脉冲噪声过滤问题.实例测试结果表明,该算法能在去除脉冲噪声和保留有用数据点之间取得良好的均衡.

     

    Abstract: On the basis of analyzing Feng Lei's algorithm and the moving least median of squares (MLMS) of Error, the paper presents a new filtering algorithm. The algorithm uses statistic characteristics of data as well as noise to implement the filtering process. Examples indicate that the algorithm achieves good tradeoff between removing outlier points and preserving useful data points.

     

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