12 citations · 14 across the 7 of their papers we have counts for
4 papers · 1 filter
MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data
Antoine Labatie, Michael Vaccaro, Nina Lardiere +2
Self-supervised learning holds great promise for remote sensing, but standard self-supervised methods must be adapted to the unique characteristics of Earth observation data. We ta…
FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping
Anatol Garioud, Sébastien Giordano, Nicolas David +1
The growing availability of high-quality Earth Observation (EO) data enables accurate global land cover and crop type monitoring. However, the volume and heterogeneity of these dat…
The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generation
Yanis Benidir, Nicolas Gonthier, Clement Mallet
Bi-temporal change detection at scale based on Very High Resolution (VHR) images is crucial for Earth monitoring. This remains poorly addressed so far: methods either require large…
Operational Change Detection for Geographical Information: Overview and Challenges
Nicolas Gonthier
Rapid evolution of territories due to climate change and human impact requires prompt and effective updates to geospatial databases maintained by the National Mapping Agency. This…