Research Article
Classification of ETM+ Remote Sensing Image Based on Hybrid Algorithm of Genetic Algorithm and Back Propagation Neural Network
Table 2
Comparison of production and user accuracies, as a percentage.
| Accuracy | C1 | C2 | C3 | C4 | C5 | C6 | C7 |
| Production accuracy | | | | | | | | MLC | 70.8 | 82.5 | 73.3 | 88.3 | 91.7 | 62.5 | 74.2 | BPNN | 75.0 | 83.3 | 77.5 | 91.7 | 91.7 | 66.7 | 75.0 | GABPNN | 79.2 | 91.7 | 87.5 | 95.8 | 92.5 | 75.0 | 81.7 |
| User accuracy | | | | | | | | MLC | 69.7 | 75.0 | 77.2 | 92.2 | 71.9 | 78.1 | 82.4 | BPNN | 72.6 | 78.1 | 81.6 | 94.8 | 72.9 | 81.6 | 82.6 | GABPNN | 84.1 | 77.5 | 83.3 | 99.1 | 84.7 | 89.1 | 88.3 |
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