14 May 2017 Detection and localization of underground networks by fusion of electromagnetic signal and GPR images
Author Affiliations +
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Meriem Hafsi, Meriem Hafsi, Philippe Bolon, Philippe Bolon, Richard Dapoigny, 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); doi: 10.1117/12.2266946; https://doi.org/10.1117/12.2266946
PROCEEDINGS
8 PAGES


SHARE
Back to Top