The accuracy of different methods for water body extraction in mountainous areas
| Serial number . | Method . | Kappa (%) . | Overall accuracy (%) . | Misclassification error (%) . | Omission error (%) . |
|---|---|---|---|---|---|
| 1 | Single-band threshold method based on B4 band | 96.35 | 98.99 | 4.49 | 1.55 |
| 2 | Single-band threshold method based on B6 band | 96.18 | 98.95 | 5.01 | 1.26 |
| 3 | Water index method based on NDWI | 96.8 | 99.12 | 2.6 | 2.75 |
| 4 | Unsupervised classification method based on ISODATA algorithm | 96.61 | 99.07 | 2.88 | 2.79 |
| 5 | Unsupervised classification method based on K-means algorithm | 96.16 | 98.94 | 4.22 | 2.15 |
| 6 | Supervised classification based on SVM | 94.97 | 98.59 | 7.3 | 0.8 |
| 7 | Decision tree model method based on multi-band combined operation | 97.73 | 99.38 | 1.89 | 1.89 |
| Serial number . | Method . | Kappa (%) . | Overall accuracy (%) . | Misclassification error (%) . | Omission error (%) . |
|---|---|---|---|---|---|
| 1 | Single-band threshold method based on B4 band | 96.35 | 98.99 | 4.49 | 1.55 |
| 2 | Single-band threshold method based on B6 band | 96.18 | 98.95 | 5.01 | 1.26 |
| 3 | Water index method based on NDWI | 96.8 | 99.12 | 2.6 | 2.75 |
| 4 | Unsupervised classification method based on ISODATA algorithm | 96.61 | 99.07 | 2.88 | 2.79 |
| 5 | Unsupervised classification method based on K-means algorithm | 96.16 | 98.94 | 4.22 | 2.15 |
| 6 | Supervised classification based on SVM | 94.97 | 98.59 | 7.3 | 0.8 |
| 7 | Decision tree model method based on multi-band combined operation | 97.73 | 99.38 | 1.89 | 1.89 |