SEPTEMBER 2022 IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE 271 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 8 7 6 5 4 3 2 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 (a) 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 (e) Class ID Name Proportion (%) of Samples in the Initial Training Data Set 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 (f) Alfalfa 0.4 Cornnotill 14 Cornmintill 8.1 Corn 2.3 Grasspasture 4.7 Grasstrees 7.1 Grasspasturemowed 0.3 (b) 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 (g) 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 (c) 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 (h) 12 34 56 78 910111213141516 Haywindrowed 4.7 Oats 0.2 Soybeannotill 9.5 Soybeanmintill 24 Soybeanclean Wheat Woods 5.8 212 Buildings-GrassTrees-Drives 3.8 Stone-SteelTowers 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 (d) FIGURE 9. For each class, the proportion of queried pixels after steps 5, 10, and 15 on the Indian Pines data set. The class labels and their proportions in the Indian Pines training data set are given in the table. (a) Random sampling. (b) Breaking Tie. (c) Batch-BALD. (d) BALD. (e) VAAL. (f) Core Set. (g) Hierarchical. (h) LAL. Proportion of Added Labels Proportion of Added Labels 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 10 11 12 13 14 15 16 1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 10 11 12 13 14 15 16 1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 10 11 12 13 14 15 16