多波束测深异常数据检测与剔除方法研究综述  

A survey offiltering methods in multibeam bathymetry outliers data

作　　者：纪雪[1] 周兴华[1,2] 唐秋华 赵洪臣[1,2] 

机构地区：[1]国家海洋局第一海洋研究所,山东青岛266061 [2]南京大学地理与海洋科学学院,南京210023

出　　处：《测绘科学》2018年第1期38-44,共7页Science of Surveying and Mapping

基　　金：国家自然科学基金项目(40706038);中央级公益性科研院所基本科研业务费专项资金资助项目(2011T05);国家国际科技合作专项资助项目(2014DFA21710);山东省自然科学基金资助项目(ZR2009FM005);海洋公益性行业科研专项(201205004)

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。According to the fact that there is no enough algorithm of muhibeam bathymetric outliers detection and filter, this paper analyzed the research results of muhibeam 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 muhibeam 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.

关 键 词：多波束测深 异常数据 异常值检测 滤波 

分 类 号：P229[天文地球—大地测量学与测量工程]