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...
Main Authors: | Ward, Wil O.C., Wilkinson, Paul B., Chambers, Jon E., Nilsson, Henrik, Kuras, Oliver, Bai, Li |
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Format: | Article |
Language: | English |
Published: |
American Geophysical Union
2016
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Online Access: | http://eprints.nottingham.ac.uk/34202/ http://eprints.nottingham.ac.uk/34202/ http://eprints.nottingham.ac.uk/34202/ http://eprints.nottingham.ac.uk/34202/1/WardEtAl-WRR2016-TrackingIndependentTracerMomentsInA4DElectricalResistivityTomographyExperiment.pdf |
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