This repository aggregates multiple research works on remote sensing using deep learning approaches, including vision transformers (ViT), self-supervised pretraining, and segmentation models like SAM adapted for satellite/aerial imagery. It covers tasks such as change detection, object detection, semantic segmentation, and classification in geospatial contexts.