3D Remote Sensing Data Processing and Building Reconstruction 3D remote sensing data processing involves using algorithms to extract 3D information from aerial or satellite imagery and other remote sensing data, such as LiDAR. Building reconstruction then uses this information to create digital 3D models of buildings, often through methods like semantic segmentation, model-based fitting, and point cloud reconstruction. These models are valuable for applications like large-scale urban planning and can be generated efficiently using techniques that leverage deep learning and semantic analysis, sometimes from challenging single-view images.
