The FSO’s land use statistics are an invaluable tool for long-term land observation. This project involves learning and mastering the use of artificial intelligence (AI) technologies to eventually automate (even partially) the visual interpretation of aerial images in order to detect and classify changes.
Among the learning methods that have emerged from AI for image recognition, Deep Learning is particularly adapted to statistics on land use and cover for which learning data are available in very large quantities. This project precedes the development of an externally commissioned IT prototype that is expected to demonstrate this approach for the national territory as a whole at the start of 2019.
The following steps are planned as part of the project:
The objective of the project is to introduce staff from the GEO section to new AI technologies with a view to integrating these into production during 2019.
The following objectives should be fulfilled: