【摘要】 针对多波束测深数据处理在测深异常数据检测与剔除方法上存在的不足,综合分析了近几十年国内外研究人员在多波束测深异常数据检测与剔除方法方面的研究成果,根据工作原理将其分为基于数据统计理论和基于函数或统计推值比较两类方法,选取中值滤波、小波分析、CUBE算法、趋势面滤波、最小二乘支持向量机滤波法等典型的多波束异常数据检测方法进行重点介绍,并通过列表的方式对不同检测方法进行优缺点对比分析。最后总结了多波束测深异常数据检测与剔除方法研究的现状和趋势。更多还原

【Abstract】 According to the fact that there is no enough algorithm of multibeam bathymetric outliers detection and filter,this paper analyzed the research results of multibeam bathymetric outliers detection and filter in recent decades.According to the working principle,the existing methods are divided into two categories.One method is based on statistical theory of data and the other is based on the function or statistical value comparison.The typical methods of multibeam bathymetric outliers detection and filter,such as median filter、wavelet analysis、CUBE algorithm、trend surface filter、LS-SVM are introduced.The advantage and disadvantage of the different detecting methods are compared through list.This paper summarizes the research status and trend of multibeam bathymetric outliers detection and filter,which has certain significance for the further development of multibeam bathymetric outliers detection and filter.更多还原