大地测量与地球动力学2012，Vol.32Issue(1)：89-93,113,6.
基于截断最小二乘估计的多波束异常测深值剔除方法
A METHOD OF MULTI-BEAM BATHYMETRY OUTLIERS ELIMINATION BASED ON TRIMMED LEAST SQUARES ESTIMATION
摘要
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.关键词
海底地形勘测/多波束测深/截断最小二乘估计/异常测深值/趋势面Key words
seafloor terrain survey/ multi-beam sounding/ trimmed least squares estimation/ outliers elimination/ trend surface分类
天文与地球科学引用本文复制引用
陆丹,李海森,魏玉阔,周天,么彬..基于截断最小二乘估计的多波束异常测深值剔除方法[J].大地测量与地球动力学,2012,32(1):89-93,113,6.基金项目
国家863计划项目(2007 AA09Z124) （2007 AA09Z124）
国家科技部国际合作项目(2008 DFR70320) （2008 DFR70320）
国家自然科学基金(41006057,41076056,60872107) （41006057,41076056,60872107）
中国高等学校博士点基金(20092304110010,20102304120028) （20092304110010,20102304120028）
水声技术重点实验室基金(9140C2003021003,9140C200403110C20) （9140C2003021003,9140C200403110C20）
中央高校基本科研业务费专项(HEUCFR1012) （HEUCFR1012）
