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- W2391783570 abstract "This article is based on the trend surface model of traditional ocean depth data filtering,taking into account changes in seabed topography complexity,for those larger changes seabed topography,especially wavy seafloor topography changes,usually polynomial model can not make a good fit seabed topography,there is a larger model error.Because semi-parametric model parameter values can be better with separation model error,so the introduction of non-parametric component based on the trend surface model to represent the trend surface model of the model error,the conventional trend surface model into semi-parametric trend surface models.And in order to make the model established with antipoor,and further introduction of semi-parametric robust trend surface model,for bathymetric data contains a lot of outliers can be effectively filtered." @default.
- W2391783570 created "2016-06-24" @default.
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- W2391783570 date "2015-01-01" @default.
- W2391783570 modified "2023-09-25" @default.
- W2391783570 title "Ocean Depth Data Filtering Based on Semi-parametric Model" @default.
- W2391783570 hasPublicationYear "2015" @default.
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