Feature-guided deep learning model for mapping deprived areas

Earth Observation (EO) data provides valuable information to localize and monitor deprived areas for the assessment of Sustainable Development Goals (SDGs). We propose a semantic segmentation model that uses a regression output to an important engineered feature as a guide to the weights learning process of the model.