Title :
Geotomographic imaging using entropy as a convergence criterion
Author :
Middleton, Nigel T. ; Jiang, Huade
Author_Institution :
Dept. of Eng., Colorado Sch. of Mines, Golden, CO, USA
Abstract :
The formulation of a geotomography reconstruction problem in a statistical setting is described, and a Monte Carlo reconstruction method that is applicable to underdetermined systems is discussed. It is pointed out that the Monte-Carlo method yields many candidate images if the measurement data are undetermined and the need for an entropy-based convergence criterion is considered. The method is demonstrated in a simulation setting with promising results
Keywords :
Monte Carlo methods; computerised tomography; entropy; geophysical techniques; geophysics computing; image processing; Monte Carlo reconstruction method; convergence criterion; entropy; geotomographic imaging; Biomedical imaging; Convergence; Entropy; Equations; Geology; Image reconstruction; Iterative algorithms; Iterative methods; Medical diagnostic imaging; Tomography;
Journal_Title :
Industry Applications, IEEE Transactions on
