SpaceNet Multi View Dataset

SpaceNet is a multi-view satellite imagery dataset used extensively in research focusing on improving the accuracy and reliability of geospatial analysis. Current research leverages SpaceNet to develop and evaluate advanced models, including neural radiance fields (NeRFs) for efficient view synthesis and deep learning architectures like U-Nets for change detection and forecasting urban development. This dataset's significance lies in its ability to address challenges in areas such as adversarial attacks on aerial imagery, improving the robustness of image classification in astronomy, and enabling more accurate analysis of urban change over time. The resulting advancements have implications for various fields, including urban planning, resource management, and astronomical research.