Artificial Intelligence for Automatic Building Extraction from Urban Aerial Images

Cartographic information is key in urban city planning and management. Deep neural networks allow detecting/extracting buildings from aerial images to gather this cartographic information. This article explores the application of deep neural networks architectures to address automatic building extraction. The results reported that UNet-based architectures provide the most accurate predictions.