A Multi-Stage Deep Learning Framework for Shadow Detection in Aerial Orthophotos
A three-stage multi-resolution segmentation framework that progressively refines shadow predictions from low to high resolution and improves fuzzy Intersection over Union (IoU) by approximately 0.05, and is applicable to other large-scale segmentation tasks requiring extensive receptive fields.