Is a repository of the all pre-trained models for built-up areas extraction from Sentinel-2 (4Bands 10 m resolution data). The models were obtained by training the GHS-S2Net CNN architecture using detailed learning sets per UTM grid zone.
The method is described in Corbane et al. 2020:
Corbane, C., Syrris, V., Sabo, F., Politis, P., Melchiorri, M., Pesaresi, M., Soille, P., Kemper, T., 2020. Convolutional neural networks for global human settlements mapping from Sentinel-2 satellite imagery. Neural Computing & Applications.
doi:10.1007/s00521-020-05449-7
Models were trained using python 3.7.4 and the following libraries:
- tensorflow-gpu==2.0.0
- Keras==2.3.1