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Automatic Data Quality Assessment of Hydrographic Surveys Taking Into Account Experts' Preferences

Abstract

Data quality assessment of hydrographic surveys is a complex problem, since context dependent acquisition conditions using multiple sensors contribute to numerous data imperfections, which have different consequences depending on the intended final product. In this work we propose a generic methodology integrating experts' preferences through multi-criteria preference models with data quality techniques to generate explainable overall quality assessments of hydrographic surveys which depend on the expected end-uses. Four hydrographic surveys of different geographic locations and contrasting characteristics were studied, according to the preferences of an acoustician, an oceanographer, and a hydrographer. The obtained results indicate that each survey was appropriately evaluated, indicating the reasons that led to the specific assessment. Index Terms-hydrographic survey, data quality assessment, preference modelling, multi-criteria decision aiding.
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Dates and versions

hal-03583723 , version 1 (22-02-2022)

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Julian Le Deunf, Arwa Khannoussi, Laurent Lecornu, Patrick Meyer, John Puentes. Automatic Data Quality Assessment of Hydrographic Surveys Taking Into Account Experts' Preferences. OCEANS 2021: San Diego – Porto, Sep 2021, San Diego, United States. pp.1-10, ⟨10.23919/OCEANS44145.2021.9705772⟩. ⟨hal-03583723⟩
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