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Reconstruction of 2D parameters using infrared sensors

This paper presents an algorithm used for 2-D parameters estimation, it takes into account the low amount of data provided by dedicated infrared sensors. We use fuzzy modelization to cope with reconstruction uncertainty. The concept of entropy adapted to fuzzy sets is used as a decision criterion to provide a best regularized solution for the ill-posed problem of the reconstruction of 2-D parameters.