Limited access remote sensing

industrial collaborators:	BNFL
academic collaborators:	University of Leeds
initiated :	2003/04/20
last updated:	2007/06/27

A flexible statistical and efficient computational approach to object location applied to electrical tomography
Aykroyd, R. G., Cattle, B.A., A flexible statistical and efficient computational approach to object location applied to electrical tomography, Stat Comput (2006) 16:363–375, Springer.

This paper investigates the use of a Boundary Element Method (BEM) / Markov Chain Monte Carlo (MCMC) approach for electrical resistance tomography (ERT) data. The efficiency of the boundary-element method coupled with the flexibility of the MCMC technique gives a promising new approach to object identification in electrical tomography. Simulated ERT data are used to illustrate the procedures.

 

related resources:

	Limited access remote sensing
	Further reading - Project Summary: Limited-access remote-sensing using inverse problem techniques - High-Energy Gamma Ray Tomography in the Nuclear Industry - An industrial application of gamma-ray emission tomography - Detection of solid deposits using gamma ray emission tomography - Boundary-element approach for the complete-electrode model of EIT - Statistical estimation for passive gamma ray tomography - Object location in electrical impedance tomography - A two-dimensional dual-modality tomography technique for a radioactive waste separation process - A statistical method for passive gamma ray tomography of nuclear waste vaults » A flexible statistical and efficient computational approach to object location applied to electrical tomography

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