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Batch Mode Active Learning Methods for the Interactive Classification of Remote Sensing Images

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Figure

Fig. 1. Multiclass architecture adopted for the BLU technique
Fig. 2. Architecture adopted for the MCLU technique.
Fig. 3. Comparison between the samples selected by (a) the CBD technique presented in [14],
Fig. 4. Overall classification accuracy obtained by the MCLU and BLU uncertainty criteria when combined  with the ABD and CBD diversity techniques in the same conditions for (a) Trento, and b) Pavia data sets
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