会议论文详细信息
4th International Conference on Advances in Energy Resources and Environment Engineering
A Method for Interpolating Digital Depth Model Based on Semiparametric Regression and Uncertainty Weighting
能源学;生态环境科学
Jia, Shuaidong^1 ; Chen, Qiu^2 ; Tang, Lulu^1 ; Dai, Zeyuan^1 ; Zhang, Lihua^1
Department of Military Oceanography and Hydrograhy and Cartography, Dalian Naval Academy, Dalian, Liaoning
116018, China^1
Navigation Guarantee Bureau of the Naval Staff Department, Beijing
100841, China^2
关键词: Depth models;    Error distributions;    Interpolation function;    Sea floor;    Semi-parametric regressions;    Semiparametric regression model;    Weighting matrices;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/237/3/032001/pdf
DOI  :  10.1088/1755-1315/237/3/032001
学科分类:环境科学(综合)
来源: IOP
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【 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.

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