Proceedings PaperRadon-Space Detection And Estimation
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The problem of reconstructing a multi-dimensional field from noisy, limited projection measurements is approached using an object-based stochastic field model. Objects within a cross-section are characterized by a finite-dimensional set of parameters, which are estimated directly from the projection measurements using maximum likelihood estimation. The computational structure, performance and robustness of the ML estimation procedure are investigated.