Tracking tracer motion in a 4-D electrical resistivity
tomography experiment

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Tracking tracer motion in a 4-D electrical resistivity tomography experiment

A new framework for automatically tracking subsurface tracers in electrical resistivity tomography (ERT) monitoring images is presented. Using computer vision and Bayesian inference techniques, in the form of a Kalman filter, the trajectory of a subsurface tracer is monitored by predicting and updat...

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Bibliographic Details
Main Authors:	Ward, Wil O.C., Wilkinson, Paul B., Chambers, Jon E., Nilsson, Henrik, Kuras, Oliver, Bai, Li
Format:	Article
Published:	American Geophysical Union 2016
Online Access:	https://eprints.nottingham.ac.uk/34202/

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