期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：237
期号：3
页码：032001
DOI：10.1088/1755-1315/237/3/032001
出版社：IOP Publishing
摘要：To address a limitation of DDM interpolation not considering the error distribution characteristics, a method for interpolating Digital Depth Model based on semiparametric regression and uncertainty weighting is proposed in this paper. Firstly, the observed error from the raw depths is considered to be random, and the weighting matrix is built for expressing this kind of random error. Secondly, the approximate error from the interpolation function is regarded to be systematic, and the semiparametric regression model is constructed for taking the part of systematic error into consideration. Finally, a new method for interpolating Digital Depth Model is proposed considering both the random and systematic error. The experimental results demonstrate that: (1) the proposed method has improved the quality of DDM; (2) the greater the uncertainties of the depths varies, the higher the proposed method has improved the quality of DDM; (3) the more complex the seafloor topography is, the higher the proposed method has improved the quality of DDM.
