Abstract
This paper deals with the reconstruction of metallic blocks from gam- magraphic and ultrasonic data. The inverse problems that have to be faced are solved within a Bayesian framework. Firstly, the problem of 3D reconstruction from gammagraphies is discussed. Then, we propose a new deconvolution method for ultrasonic traces. Finally, we present a reconstruction method that accounts for both sets of data: the ultrasonic data is used to detect breaks in the object and those bounds are then incorporated in the prior model for the reconstruction from gammagraphies.
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© 1996 Springer Science+Business Media Dordrecht
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Gautier, S., Le Besnerais, G., Mohammad-Djafari, A., Lavayssière, B. (1996). Data Fusion in the Field of Non Destructive Testing. In: Hanson, K.M., Silver, R.N. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 79. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5430-7_37
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DOI: https://doi.org/10.1007/978-94-011-5430-7_37
Publisher Name: Springer, Dordrecht
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