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4.4
Classification
4.4.1
Pixel based classification
Statistics estimation
Building the training data set
Performing the learning scheme
Using the classification model
Validating the classification model
Fancy classification results
Example
4.4.2
Fusion of classification maps
Majority voting for the fusion of classifications
Dempster Shafer framework for the fusion of classifications
Recommandations to properly use the fusion of classification maps
4.4.3
Majority voting based classification map regularization
Majority voting for the classification map regularization
Handling ambiguity and not classified pixels in the majority voting based regularization
Recommandations to properly use the majority voting based regularization
Example
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