This repository catalogs deep learning architectures, models, and algorithms specifically designed for satellite and aerial image analysis. It covers key computer vision tasks including image classification, semantic/instance segmentation, object detection, change detection, and regression. The techniques leverage convolutional neural networks and frameworks like PyTorch to address challenges unique to remote sensing data such as large image sizes and diverse object classes.