INFORMATION FUSION IN PROBABILITY THEORY
THEORY
Review of Probability Theory
Event
Probability
Random Variable and Probability Distribution
Expectation
Classifiers
An Example
Bayes' Decision Theory
Example
Classifier
Parameters
Conclusion
APPLICATIONS: Fusion by Bayes' Rule
Estimation of the Probabilities
a priori
.
Estimation of the Costs of Bad Classification
T
l
'/
l
.
Computation of the Densities of Probability
f
l
.
Implementation of the Bayes' Rule
Fusion of Four Spectral Bands MSS4 to MSS7 using Bayes' Rule
Fusion of the Spectral Band and the Out-Image Data using Bayes' Rule
IRIT-UPS
.
