3. Probabilistic and Bayesian fusion
3.1 Information measures
When a set of images is available, the first task is often to transform it into a smaller, simpler subset, without losing any information.
A principal component analysis approach is often employed, which projects each image onto the eigenvectors of the correlation matrix, thus obtaining new decorrelated images, ranked in descending order of energy. Truncation at
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Probabilistic and Bayesian fusion
Fusion in the theory of belief functions
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