基于聚类分析的多波束测深数据滤波方法研究

摘要

Existing filtering methods on retention issues and effective information filtering effect are not always satisfactory to both sides.This paper proposes to set a small threshold to filter the bathymetric data,remove erroneous data,and then analyze the filter out data in clustering methods to recycle the information,in order to prevent the loss of important information as possible.%现有的多波束测深数据滤波方法，在滤波效果和有效信息的保留问题上还不够完善。文中提出对测深数据滤波时，先设定小阈值，尽可能地剔除错误数据，再对滤出数据作聚类分析回收有效信息，防止信息丢失。