Table 5 Classification accuracies for the SAM 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 | 98.34 | 95.48 | 98.70 | 73.55 | 98.77 | 77.42 |
B | 96.05 | 36.50 | 54.05 | 20.00 | 55.26 | 21.00 |
C | 54.63 | 56.00 | 35.42 | 42.50 | 38.14 | 45.00 |
D | 91.44 | 96.67 | 91.44 | 96.67 | 91.86 | 96.67 |
E | 88.20 | 67.62 | 89.16 | 70.48 | 89.40 | 64.29 |
F | 41.94 | 65.00 | 40.26 | 77.50 | 42.17 | 87.50 |
G | 100.00 | 8.09 | 100.00 | 18.50 | 100.00 | 24.86 |
H | 98.14 | 95.91 | 97.56 | 90.91 | 98.04 | 90.91 |
I | 33.49 | 70.00 | 24.80 | 63.00 | 26.52 | 61.00 |
J | 100.00 | 100.00 | 98.41 | 99.20 | 98.80 | 99.20 |
K | 97.22 | 84.00 | 99.04 | 82.40 | 97.51 | 78.40 |
L | 93.69 | 97.20 | 94.84 | 94.39 | 94.50 | 96.26 |
M | 100.00 | 27.00 | 94.44 | 17.00 | 92.98 | 26.50 |
N | 97.66 | 83.33 | 5.51 | 2.33 | 12.16 | 6.00 |
O | 88.86 | 95.16 | 49.24 | 62.90 | 49.24 | 62.90 |
P | 80.00 | 96.00 | 72.84 | 95.67 | 70.05 | 94.33 |
Q | 99.07 | 96.82 | 97.71 | 96.82 | 96.77 | 95.45 |
R | 100.00 | 94.00 | 79.63 | 86.00 | 78.43 | 80.00 |
S | 81.94 | 98.33 | 63.01 | 76.67 | 61.04 | 78.33 |
T | 45.61 | 80.00 | 53.54 | 81.54 | 48.21 | 83.08 |
U | 43.21 | 78.00 | 39.21 | 64.50 | 36.67 | 60.50 |
V | 71.43 | 70.00 | 41.94 | 78.00 | 40.79 | 62.00 |
W | 95.40 | 83.00 | 93.46 | 71.50 | 94.70 | 71.50 |
Accuracy (%) = 79.18 | Accuracy (%) = 66.37 | Accuracy (%) = 66.81 | ||||
κ = 0.7808 | κ = 0.6466 | κ = 0.6510 | ||||