Research Article
A Gaussian Process Classification and Target Recognition Algorithm for SAR Images
Table 1
Category and feature information of labeled samples at Pavia University and corresponding categories.
| Category | Ground object information | Number of samples | Proportion of each sample (%) |
| 1 | Asphalt | 161631 | 15.50 | 2 | Meadow | 18649 | 43.60 | 3 | Gravel | 2099 | 4.91 | 4 | Trees | 3064 | 7.16 | 5 | Painted metal sheet | 1345 | 3.14 | 6 | Bare soil | 5029 | 11.76 | 7 | Asphalt waterproofing | 1330 | 3.11 | 8 | Brick from necklace | 3682 | 8.61 | 9 | Shadow | 947 | 2.21 | Total | ā | 42779 | 100 |
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