Research Article
Urban Land Use and Land Cover Classification Using Remotely Sensed SAR Data through Deep Belief Networks
Table 4
Confusion matrix (in percent) of the NN method.
| ā | Water | Golf | Pasture | Cons. | LD | Crop1 | Crop2 | Forest | HD | Ind. |
| Water | 78.47 | 2.05 | 0.00 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | Golf | 19.56 | 89.22 | 19.21 | 6.71 | 0.24 | 3.05 | 1.12 | 0.40 | 0.02 | 0.17 | Pasture | 0.00 | 1.93 | 60.95 | 0.77 | 0.13 | 2.68 | 1.18 | 0.13 | 0.01 | 0.01 | Cons. | 1.64 | 3.28 | 0.68 | 63.83 | 0.00 | 0.04 | 9.88 | 0.00 | 0.04 | 0.01 | LD | 0.00 | 0.14 | 0.01 | 0.00 | 57.71 | 5.25 | 0.02 | 2.34 | 5.61 | 2.07 | Crop1 | 0.00 | 0.30 | 2.37 | 0.38 | 1.74 | 79.91 | 0.64 | 0.14 | 0.33 | 0.53 | Crop2 | 0.15 | 2.45 | 14.48 | 26.70 | 0.71 | 3.13 | 86.15 | 0.94 | 0.19 | 0.02 | Forest | 0.00 | 0.47 | 1.96 | 0.18 | 2.06 | 0.64 | 0.98 | 89.08 | 0.16 | 0.09 | HD | 0.00 | 0.06 | 0.33 | 0.37 | 31.99 | 5.13 | 0.03 | 6.21 | 71.95 | 28.95 | Ind. | 0.17 | 0.10 | 0.03 | 0.71 | 5.41 | 0.18 | 0.00 | 0.77 | 21.69 | 68.17 |
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