3D mapping of buried underworld infrastructure using dynamic Bayesian network based multi-sensory image data fusion

Dutta, R, Cohn, AG and Muggleton, JM (2013) 3D mapping of buried underworld infrastructure using dynamic Bayesian network based multi-sensory image data fusion. Journal of Applied Geophysics, 92. 8 - 19. ISSN 0926-9851

Abstract

Metadata

Authors/Creators:
  • Dutta, R
  • Cohn, AG
  • Muggleton, JM
Keywords: Dynamic Bayesian network; ground excitation; ground penetrating radar; image data fusion; pipe excitation; vibro-acoustic
Dates:
  • Published: May 2013
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 20 Mar 2015 15:36
Last Modified: 03 Nov 2016 11:18
Published Version: http://dx.doi.org/10.1016/j.jappgeo.2013.02.005
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.jappgeo.2013.02.005
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