Geotomography for the delineation of coal seam structure

Rogers, Philip; Edwards, S A; Young, J.A.; Downey, M.

doi:10.1016/0016-7142(87)90004-4

Cited by 12 publications

(2 citation statements)

References 25 publications

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“…In addition to the measured data, YOULA uses available information (both physical and mathematical) to specify constraints on the solution, such as smoothness and limits on the image bound. YOULA differs from other tomographic reconstruction algorithms such as ART and SIRT in that it operates in the data domain rather than in the image domain (see Rogers et al, 1987). Algorithms such as A R T and SIRT can also be used in hypothesis testing and there are plans to make these algorithms available in the mirp package as alternatives to YOULA.…”

Section: Hypothesis Testing;mentioning

confidence: 97%

“…YOULA combines iterative extrapolation of the measured data based on set theoretic techniques with a standard direct Fourier reconstruction method (Rogers et al, 1987). In addition to the measured data, YOULA uses available information (both physical and mathematical) to specify constraints on the solution, such as smoothness and limits on the image bound.…”

Section: Hypothesis Testing;mentioning

confidence: 99%

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A computer-aided geological interpretation system for subsurface imaging

Young

Rogers

Jordan

et al.

Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium

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We describe a computer-aided geological interpretation system developed for radio attenuation tomographic imaging of subsurface geology with immediate application in mining geophysics. Measurements in remote sensing are often expensive so that, in practice, the data-interpretation process is plagued by insufficient data. Inverse procedures are generally ill-posed leading to the use of regularization techniques which are mathematically tractable but rarely physically relevant to the problem. Our response to this fundamental difficulty has been to invert the normal imaging philosophy. Instead of using the data to reconstruct an image for interpretation by some domain expert, we provide a computational system in which set theoretic techniques are used to modify hypotheses provided by the expert in image form to mal<.-them consistent with the data and other constraints. This is an implementation of the hypothetico-deductive model of scientific method. While the actual image-processing algorithms such as tomographic inversion are based on sophisticated techniques, we have made a considerable effort to remove this level of abstraction for the benefit of geologists and geophysicists who are the target users. By employing X-Windows-based, graphical user interface methods, in conjunction with graphics and image-based visualization, the system can be used intuitively to expiow the possibilities offered by the data without an extensive know!< ige of the processing techniques. The application of the system to field examples from the Australian mining industry will be shown in the interactive presentation.

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Section: Hypothesis Testing;mentioning

confidence: 97%

Section: Hypothesis Testing;mentioning

confidence: 99%