Open AccessDetection and localization of underground networks by fusion of electromagnetic signal and GPR images
Author(s) -
Meriem Hafsi,
Philippe Bolon,
Richard Dapoigny
Publication year - 2017
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.2266946
Subject(s) - ground penetrating radar , computer science , sensor fusion , process (computing) , representation (politics) , artificial intelligence , signal processing , signal (programming language) , work (physics) , object detection , data mining , real time computing , remote sensing , computer vision , pattern recognition (psychology) , engineering , telecommunications , geology , radar , politics , political science , law , programming language , operating system , mechanical engineering
In this paper, we purpose a new approach to the post-processing of multi-sensor detection based on knowledge representation and data fusion provided by several technologies. The aim is to improve the detection and localization of underground networks. This work is part of the G4M project, leaded by ENGIE LAB CRIGEN, the objective of which is the design of a versatile device for a reliable detection and localization of underground networks. The objective of this work, which is at the core of the G4M project, focuses on the validity of current detection methods, to optimize the process of detection using these methods and to establish a 3D map of subsoil networks.
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