Abstract：Aimed at the problems of outliers in multibeam 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.
Lu Dan,Li Haisen,Wei Yukuo et al. A METHOD OF MULTIBEAM BATHYMETRY OUTLIERS ELIMINATIONBASED ON TRIMMED LEAST SQUARES ESTIMATION[J]. jgg, 2012, 32(1): 89-93.
