阳凡林, 刘经南, 赵建虎. 多波束测深数据的异常检测和滤波[J]. 武汉大学学报 ( 信息科学版), 2004, 29(1): 80-83.
引用本文: 阳凡林, 刘经南, 赵建虎. 多波束测深数据的异常检测和滤波[J]. 武汉大学学报 ( 信息科学版), 2004, 29(1): 80-83.
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YANG Fanlin, LIU Jingnan, ZHAO Jianhu. Detecting Outliers and Filtering Noises in Multi-Beam Data[J]. Geomatics and Information Science of Wuhan University, 2004, 29(1): 80-83.
Citation: YANG Fanlin, LIU Jingnan, ZHAO Jianhu. Detecting Outliers and Filtering Noises in Multi-Beam Data[J]. Geomatics and Information Science of Wuhan University, 2004, 29(1): 80-83.
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多波束测深数据的异常检测和滤波

Detecting Outliers and Filtering Noises in Multi-Beam Data

    摘要
  • 摘要: 根据较大区域的测深数据的分布特性,提出了一种基于中值滤波、局部方差检测和小波分析相结合的方法来定位异常数据,并滤去随机噪声。

     

    Abstract: This paper combines median filter with local variance estimation and wavelet analysis to remove outliers and noises.Because median filter can distort details in datasets, its result is not ultimate. However, the local variance is calculated through it.Then removing outliers relies on limit errors calculated by the local variance.The algorithm is verified by the real data and simulated data.It can process large quantities of data, rapid speed and robust etc.

     

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