Detection and localization of underground networks by fusion of electromagnetic signal and GPR images

Meriem Hafsi; Philippe Bolon; Richard Dapoigny

doi:10.1117/12.2266946

14 May 2017 Detection and localization of underground networks by fusion of electromagnetic signal and GPR images

Meriem Hafsi, Philippe Bolon, Richard Dapoigny

Proceedings Volume 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017; 1033803 (2017) https://doi.org/10.1117/12.2266946
Event: The International Conference on Quality Control by Artificial Vision 2017, 2017, Tokyo, Japan

Abstract

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.

Citation Download Citation

Meriem Hafsi, Philippe Bolon, and Richard Dapoigny "Detection and localization of underground networks by fusion of electromagnetic signal and GPR images", Proc. SPIE 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017, 1033803 (14 May 2017); https://doi.org/10.1117/12.2266946

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