Autoencoder pretraining raises a U-Net's wetland land-cover accuracy on high-resolution Pleiades imagery from 60.35% to 88.23%, while medium-resolution Sentinel-2 accuracy stays near 85%.
Advances in Neural Information Processing Systems 36 (2024)
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Supervised and self-supervised land-cover segmentation & classification of the Biesbosch wetlands
Autoencoder pretraining raises a U-Net's wetland land-cover accuracy on high-resolution Pleiades imagery from 60.35% to 88.23%, while medium-resolution Sentinel-2 accuracy stays near 85%.