Table 1 Mean and standard deviation of the running time in seconds of the proposed method and the time required by affine transformation models
From: Robustly building keypoint mappings with global information on multispectral images
Dataset | Proposed method | Affine transformations | Â | ||
|---|---|---|---|---|---|
|  | μ t (s) | σ t (s) | μ t (s) | σ t (s) |  |
EOIR | 6.23 | 10.29 | 63.35 | 480.56 | Â |
Visible_nir | 5.02 | 4.59 | 155.49 | 228.39 | Â |
Country | 43.27 | 31.97 | 109.82 | 141.35 | Â |
Field | 55.92 | 62.10 | 946.60 | 2540.73 | Â |
Forest | 80.78 | 47.24 | 938.17 | 1181.63 | Â |
Indoor | 46.57 | 48.84 | 875.28 | 1274.22 | Â |
Mountain | 44.01 | 43.74 | 1316.91 | 2601.72 | Â |
Oldbuilding | 72.93 | 74.19 | 1954.95 | 3306.19 | Â |
Street | 43.38 | 38.65 | 954.92 | 3242.05 | Â |
Urban | 94.24 | 67.59 | 5585.69 | 6886.24 | Â |
Water | 26.08 | 25.32 | 259.07 | 444.64 | Â |