A novel machine learning based method to compress and reconstruct 3D spatial data from remote sensing
Land surveys are used to find and monitor land features in large areas. Information such as differences in elevation, area and heights of buildings, vegetation, water and roads can be gathered by physically surveying the land. The same information can be gathered using pictures captured remotely by cameras mounted on satellites or tripods, drones and helicopters.