Multi-scale attention integrated hierarchical networks for high-resolution building footprint extraction

•An attention-based hierarchical framework is proposed for building footprint extraction.•Three CNN modules are applied to learn the features of various types of buildings.•The combination of focal loss and dice Loss outperforms loss functions in literature.•An overlap splicing and voting mechanism is proposed to reduce edge effects.