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Table 4 Classification accuracies for the MED classifications

From: Classification of hyperspectral imagery with neural networks: comparison to conventional tools

  194-band 30-band 13-band
  User Producer User Producer User Producer
Class Accuracy Accuracy Accuracy
A 98.39 98.39 98.39 98.71 98.39 98.71
B 96.05 36.50 56.76 21.00 66.67 23.00
C 54.63 56.50 42.80 55.00 41.37 51.50
D 91.44 96.67 92.69 96.67 90.67 97.14
E 88.20 67.62 86.55 70.48 87.10 64.29
F 41.05 97.50 40.45 90.00 41.30 95.00
G 100.00 67.05 100.00 65.32 100.00 65.32
H 98.14 95.91 97.42 85.91 98.48 88.64
I 33.49 70.00 24.62 65.00 24.33 64.00
J 100.00 100.00 98.02 98.80 98.81 99.60
K 97.22 84.00 99.06 84.00 97.98 77.60
L 93.69 97.20 93.24 96.73 93.27 97.20
M 98.18 27.00 91.61 16.50 88.24 22.50
N 97.66 83.33 30.11 9.33 61.88 33.00
O 88.86 95.16 60.10 78.71 71.79 81.29
P 80.00 96.00 66.14 97.67 65.31 96.00
Q 99.07 96.82 97.69 95.91 96.76 95.00
R 100.00 94.00 100.00 92.00 93.33 84.00
S 81.94 98.33 67.06 95.00 65.48 91.67
T 45.61 80.00 54.64 81.54 48.21 83.08
U 43.21 78.00 43.73 68.00 33.89 51.00
V 71.43 70.00 47.83 66.00 43.06 62.00
W 95.40 83.00 96.05 73.00 94.70 71.50
  Accuracy (%) = 82.04 Accuracy (%) = 72.85 Accuracy (%) = 73.29
  κ = 0.8107 κ = 0.7140 κ = 0.7187