Research Article
Deep Learning-Based Wildfire Image Detection and Classification Systems for Controlling Biomass
Table 8
RMSE analysis for the RBFN-RAISR technique with existing systems.
| No. of data from dataset | CNN | R-CNN | SVM | ANN | DT | BNN | RBFN-RAISR |
| 100 | 51.23 | 46.78 | 39.32 | 40.89 | 34.78 | 32.89 | 21.89 | 200 | 50.56 | 45.99 | 38.12 | 39.87 | 35.12 | 31.87 | 22.78 | 300 | 49.23 | 44.45 | 37.66 | 39.21 | 34.98 | 30.21 | 23.19 | 400 | 48.44 | 43.98 | 36.98 | 39.45 | 34.18 | 29.67 | 22.44 | 500 | 47.12 | 44.34 | 35.12 | 40.21 | 33.66 | 31.67 | 23.55 | 600 | 47.33 | 41.98 | 34.98 | 39.45 | 32.12 | 28.56 | 25.12 | 700 | 47.55 | 40.77 | 33.11 | 38.89 | 30.87 | 28.11 | 24.89 |
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