PEOPLE
PI: Sylvain Lobry (UPC)
INRIA PI: Diego Marcos (INRIA)
Camille Kurtz (UPC), Laurent Wendling (UPC), Dino Ienco (INRAE)
Email (for Sylvain Lobry only): firstname.lastname at u-paris.fr
This work is funded by ANR
This page presents the Generalized Earth Observation with Remote Sensing and Text (GEO-ReSeT) project funded by the TSIA program of ANR
By using location on the Earth's surface as the common link between different modalities, a geo-spatial foundation model would be able to incorporate a variety of data sources, including remote sensing imagery, textual descriptions of places, and features in maps. Leveraging the large amounts of available unlabeled geo-spatial data from these different sources, the GEO-ReSeT (Generalized Earth Observation with Remote Sensing and Text) ANR project has the objective to learn a better representation of any geo-spatial location and convey a semantic representation of the information.
Such a foundation model has the potential to revolutionize Earth observation by allowing for few or zero-shot solutions to classical problems such as land-cover and land-use mapping, target detection, and visual question answering. It will also be useful for a wide range of applications with a geo-spatial component, including environmental monitoring, urban planning and agriculture.
PI: Sylvain Lobry (UPC)
INRIA PI: Diego Marcos (INRIA)
Camille Kurtz (UPC), Laurent Wendling (UPC), Dino Ienco (INRAE)
Email (for Sylvain Lobry only): firstname.lastname at u-paris.fr
This work is funded by ANR