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Theses

Géo-détection des réseaux enterrés par fusion de données multimodales et raisonnement spatial

Abstract : Our work aims to solve the problem of reliable detection of underground networks by optimization of the existing methods. Four methods are planned to identify the underground pipelines but they have limits and depend on many factors. Our investigation aims to solve the problem of reliable detection of underground networks by aggregation of the existing methods and reasoning at different abstraction levels. For that purpose, we must be able to provide an accurate geo-detection of underground networks regardless of their material, their function or the soil in which they are buried. The information collected in the field or soil by these detection methods will be merged in order to achieve and obtain an accurate and reliable single result of geo-detection. For that, we need to check independently these distinct methods and then to aggregate the information/data they provide. Besides, the first step will consists of the representation of this information into symbolic knowledge. The second step is to overcome the limitations of current methods to provide a reliable and expressive reasoning system
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https://tel.archives-ouvertes.fr/tel-02134561
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Submitted on : Monday, May 20, 2019 - 4:00:12 PM
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  • HAL Id : tel-02134561, version 1

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Meriem Hafsi. Géo-détection des réseaux enterrés par fusion de données multimodales et raisonnement spatial. Traitement du signal et de l'image [eess.SP]. Université Grenoble Alpes, 2018. Français. ⟨NNT : 2018GREAA024⟩. ⟨tel-02134561⟩

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