Research Article
Deep Learning-Based Wildfire Image Detection and Classification Systems for Controlling Biomass
Table 6
F-score analysis for RBFN-RAISR technique with existing systems.
| No. of data from dataset | CNN | R-CNN | SVM | ANN | DT | BNN | RBFN-RAISR |
| 100 | 51.89 | 57.45 | 60.34 | 66.34 | 73.34 | 80.56 | 87.34 | 200 | 52.98 | 58.34 | 61.23 | 67.12 | 71.67 | 82.23 | 89.23 | 300 | 53.98 | 59.12 | 63.98 | 68.34 | 75.12 | 80.78 | 89.21 | 400 | 52.76 | 58.34 | 63.19 | 69.21 | 76.56 | 83.19 | 90.43 | 500 | 54.98 | 59.55 | 62.67 | 70.45 | 75.12 | 84.12 | 90.23 | 600 | 55.12 | 58.23 | 64.12 | 71.23 | 78.34 | 85.33 | 92.78 | 700 | 56.77 | 60.22 | 65.56 | 72.89 | 79.22 | 86.12 | 93.33 |
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