海洋地质与第四纪地质2026，Vol.46Issue(1)：99-113,15.DOI:10.16562/j.cnki.0256-1492.2024082101
海洋多波束测深异常数据自动化检测和处理方法研究进展
Research progress on automated detection and cleaning of abnormal ocean multibeam bathymetry data
摘要
Abstract
Aiming at the automated detection and cleaning of abnormal ocean multibeam bathymetric data,and integrating the research progress at home and abroad,we classified the methods into three categories according to the different processing objectives:detection and processing in bathymetric point data domain,in single ping data domain,and in the domain of constructing surface model.By sorting out the median filtering,clustering algorithm,CSF algorithm,CUBE algorithm,trend surface method,and robust estimation method,we summarized the differences in the processing process,application targets,application criteria,application fields,and result judgment of the methods;classified and compared the three types of methods in a list;and obtained the direction of focus and the type of abnormal data applicable to the processing of the three types of methods.The advantages and shortcomings of the three types of the methods for different targets were analyzed,and the problems and the solutions in the processing and practice of the previous methods were reviewed.关键词
多波束测深/异常数据/自动化/检测和处理Key words
multibeam bathymetry/abnormal data/automatic/detection and cleaning分类
海洋科学引用本文复制引用
罗东旭,杨添贵,陈江欣,徐华宁,吴能友,陆凯,欧文佳,李海龙,傅钰,韩同刚..海洋多波束测深异常数据自动化检测和处理方法研究进展[J].海洋地质与第四纪地质,2026,46(1):99-113,15.基金项目
国家自然科学基金重大研究计划集成项目"西太平洋多圈层相互作用数据集成研究"(92358303) （92358303）
山东省泰山学者建设工程"海底地球流体地质与地球物理学"(tsqn201812118) （tsqn201812118）
山东省面上基金"天然气水合物频变衰减特征定量研究"(ZR2022MD029) （ZR2022MD029）
中国地质调查局地质调查专项项目(DD20230643,DD20191003) （DD20230643,DD20191003）
