黄贤源, 隋立芬, 翟国君, 柴洪洲. 利用Bayes估计进行多波束测深异常数据探测[J]. 武汉大学学报 ( 信息科学版), 2010, 35(2): 168-171.
引用本文: 黄贤源, 隋立芬, 翟国君, 柴洪洲. 利用Bayes估计进行多波束测深异常数据探测[J]. 武汉大学学报 ( 信息科学版), 2010, 35(2): 168-171.
HUANG Xianyuan, SUI Lifen, ZHAI Guojun, CHAI Hongzhou. Outliers Detection of Multi-Beam Data Based on Bayes Estimation[J]. Geomatics and Information Science of Wuhan University, 2010, 35(2): 168-171.
Citation: HUANG Xianyuan, SUI Lifen, ZHAI Guojun, CHAI Hongzhou. Outliers Detection of Multi-Beam Data Based on Bayes Estimation[J]. Geomatics and Information Science of Wuhan University, 2010, 35(2): 168-171.

利用Bayes估计进行多波束测深异常数据探测

Outliers Detection of Multi-Beam Data Based on Bayes Estimation

  • 摘要: 在海底地形变化连续、平缓的假设条件下,基于Bayes估计理论提出了多波束测深异常数据探测方法,并与选权迭代加权平均滤波法进行了分析和比较。结果证明,该方法可以解决测深异常值判断标准可靠性的问题,而且能合理、有效地探测出异常值。

     

    Abstract: On the ground of hypothesis that the change of marine terrain is continue and slow,a new method of detecting outliers of multi-beam data by Bayes estimate theory is presented.In order to verify the validities and rationalities of this method,a contrast between this method and the approach of select-weight iterative filter is done.The result shows that the approach can solve the problem of judge-standard reliability and could detect the outliers of Multi-Beam data valid and rational.

     

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