Research Article
Unsupervised Classification Method for Polarimetric Synthetic Aperture Radar Imagery Based on Yamaguchi Four-Component Decomposition Model
Table 1
Classification accuracy of six areas.
| | | Surface scattering | Double-bounce scattering | Volume scattering | Helix scattering | The total count |
| | Stembean (FDD) | 178 | 377 | 409 | 0 | 964 | | Stembean (new) | 294 | 476 | 194 | 0 |
| | Wheat (FDD) | 9190 | 146 | 580 | 0 | 9916 | | Wheat (new) | 9456 | 164 | 296 | 0 |
| | Rapeseed (FDD) | 10149 | 0 | 63 | 0 | 10212 | | Rapeseed (new) | 10185 | 0 | 27 | 0 |
| | Forest (FDD) | 5 | 17 | 1168 | 0 | 1190 | | Forest (new) | 43 | 65 | 1082 | 1 |
| | Baresoil (FDD) | 12194 | 72 | 3988 | 0 | 16254 | | Baresoil (new) | 13012 | 67 | 3174 | 1 |
| | Water (FDD) | 2032 | 0 | 4 | 0 | 2036 | | Water (new) | 2036 | 0 | 0 | 0 |
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