Table 3 Classification accuracies for the ANN 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 | 98.36 | 96.45 | 97.69 | 95.48 | 98.23 | 89.35 |
B | 95.33 | 71.50 | 67.95 | 53.00 | 88.29 | 49.00 |
C | 95.05 | 86.50 | 79.65 | 90.00 | 77.78 | 87.50 |
D | 92.49 | 93.81 | 81.63 | 95.24 | 81.67 | 93.33 |
E | 93.88 | 87.62 | 92.68 | 90.48 | 94.82 | 87.14 |
F | 40.48 | 85.00 | 41.98 | 85.00 | 39.00 | 97.50 |
G | 100.00 | 64.74 | 87.72 | 57.80 | 100.00 | 64.16 |
H | 96.92 | 100.00 | 97.44 | 69.09 | 95.24 | 90.91 |
I | 50.81 | 63.00 | 79.05 | 83.00 | 48.08 | 75.00 |
J | 100.00 | 96.00 | 99.04 | 82.40 | 100.00 | 94.40 |
K | 93.25 | 94.00 | 97.11 | 67.20 | 95.24 | 64.00 |
L | 97.66 | 97.66 | 85.46 | 90.65 | 94.81 | 93.93 |
M | 91.67 | 82.50 | 84.21 | 56.00 | 93.20 | 48.00 |
N | 88.32 | 98.33 | 70.37 | 19.00 | 58.33 | 30.33 |
O | 94.90 | 96.13 | 62.68 | 86.13 | 80.86 | 66.77 |
P | 97.25 | 82.67 | 77.52 | 66.67 | 70.03 | 92.67 |
Q | 98.60 | 96.36 | 95.67 | 90.45 | 97.20 | 94.55 |
R | 88.46 | 92.00 | 95.45 | 84.00 | 100.00 | 78.00 |
S | 90.57 | 80.00 | 89.09 | 81.67 | 78.67 | 98.33 |
T | 90.91 | 92.31 | 92.65 | 96.92 | 91.80 | 86.15 |
U | 77.78 | 73.50 | 73.50 | 86.00 | 75.86 | 66.00 |
V | 100.00 | 62.00 | 43.21 | 70.00 | 23.27 | 74.00 |
W | 94.36 | 92.00 | 85.29 | 72.50 | 79.49 | 77.50 |
Accuracy (%) = 88.71 | Accuracy (%) = 75.02 | Accuracy (%) = 76.39 | ||||
κ = 0.8811 | κ = 0.7380 | κ = 0.7522 | ||||