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Figure 2: On the left, examples of merged bands superimposed onthe original reference spectra
Figure 3: Hierarchies of merged bands obtained for different cri-teria for Pavia data set: spectra piece-wise approximation error(top), between band correlation (middle) and class separability(bottom)
Figure 6: Kappa (in %) reached for rbf SVM classification formerged band subsets selected at the different levels of the hier-archy for Pavia and Indian Pines data sets using the greedy FSalgorithm (x-axis = number of merged bands in the spectral con-figuration corresponding to the hierarchy level).
Figure 7: Computing times and best Kappa coefficients reached on Pavia (for a 5 band subset) and Indian Pines (for a 10 band subset)data sets for band merging criterion “spectra piece-wise approximation error”

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