From: CEU-Net: ensemble semantic segmentation of hyperspectral images using clustering
Class Labels | Precision | Recall | f1-score | Support |
---|---|---|---|---|
Scrub | 0.96 | 0.98 | 0.97 | 197 |
Willow Swamp | 0.97 | 0.94 | 0.96 | 72 |
CP Hammock | 0.84 | 0.90 | 0.87 | 63 |
Slash Pine | 0.82 | 0.75 | 0.78 | 67 |
Oak/Broadleaf | 0.85 | 0.79 | 0.82 | 43 |
Hardwood | 0.89 | 0.85 | 0.87 | 47 |
Swamp | 0.90 | 0.90 | 0.90 | 31 |
Graminoid Marsh | 0.97 | 0.94 | 0.95 | 109 |
Spartina Marsh | 0.95 | 1.00 | 0.97 | 135 |
Cattail Marsh | 0.97 | 1.00 | 0.98 | 87 |
Salt Marsh | 1.00 | 0.99 | 0.99 | 97 |
Mud Flats | 0.99 | 0.97 | 0.98 | 121 |
Water | 1.00 | 1.00 | 1.00 | 234 |
Accuracy | Â | Â | 0.95 | 1303 |
Macro Average | 0.93 | 0.92 | 0.93 | 1303 |
Weighted Average | 0.95 | 0.95 | 0.95 | 1303 |