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引用本文:陆丹,李海森,魏玉阔,周天,么彬.????????С?????????????????????????[J].大地测量与地球动力学,2012,32(1):89-93.
作者姓名:陆丹  李海森  魏玉阔  周天  么彬
作者单位:哈尔滨工程大学水声技术重点实验室,哈尔滨,150001
基金项目:国家863计划项目,国家科技部国际合作项目,国家自然科学基金,中国高等学校博士点基金,水声技术重点实验室基金,中央高校基本科研业务费专项
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A METHOD OF MULTI-BEAM BATHYMETRY OUTLIERS ELIMINATION BASED ON TRIMMED LEAST SQUARES ESTIMATION
Lu Dan , Li Haisen , Wei Yukuo , Zhou Tian , Yao Bin.A METHOD OF MULTI-BEAM BATHYMETRY OUTLIERS ELIMINATION BASED ON TRIMMED LEAST SQUARES ESTIMATION[J].Journal of Geodesy and Geodynamics,2012,32(1):89-93.
Authors:Lu Dan  Li Haisen  Wei Yukuo  Zhou Tian  Yao Bin
Institution:(Science and Technology on Underwater Acoustic Laboratory,Harbin Engineering University,Harbin 150001)
Abstract:Aimed at the problems of outliers in multi-beam bathymetric data affecting the survey results of seafloor terrain,a method of outliers detection and elimination based on trimmed least squares estimation is proposed.This method utilizes the high break point property of trimmed least squares estimation to fit a surface for a relatively accuracy seafloor trend surface,and identifies outliers by comparing the remnant of real depth values and the obtained trend surface with a certain threshold.By using the arrangement of bathymetric data points,a sliding window with variable size to detect and eliminate outliers in unit of survey line is designed.The results shows that this method can be used effectively to detect clusters and discrete outliers exist in seafloor terrain datasets.
Keywords:seafloor terrain survey  multi-beam sounding  trimmed least squares estimation  outliers elimination  trend surface
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