434 citations · 831 across the 14 of their papers we have counts for
14 papers
Anomaly detection in satellite imagery through temporal inpainting
Bertrand Rouet-Leduc, Claudia Hulbert
Detecting surface changes from satellite imagery is critical for rapid disaster response and environmental monitoring, yet remains challenging due to the complex interplay between…
Autonomous Detection of Methane Emissions in Multispectral Satellite Data Using Deep Learning
Bertrand Rouet-Leduc, Thomas Kerdreux, Alexandre Tuel +1
Methane is one of the most potent greenhouse gases, and its short atmospheric half-life makes it a prime target to rapidly curb global warming. However, current methane emission mo…
Diffusion Models for Interferometric Satellite Aperture Radar
Alexandre Tuel, Thomas Kerdreux, Claudia Hulbert +1
Probabilistic Diffusion Models (PDMs) have recently emerged as a very promising class of generative models, achieving high performance in natural image generation. However, their p…
Autonomous Extraction of Millimeter-scale Deformation in InSAR Time Series Using Deep Learning
Bertrand Rouet-Leduc, Romain Jolivet, Manon Dalaison +2
Systematic characterization of slip behaviours on active faults is key to unraveling the physics of tectonic faulting and the interplay between slow and fast earthquakes. Interfero…
Tremor Waveform Denoising and Automatic Location with Neural Network Interpretation
Claudia Hulbert, Romain Jolivet, Blandine Gardonio +3
Active faults release tectonic stress imposed by plate motion through a spectrum of slip modes, from slow, aseismic slip, to dynamic, seismic events. Slow earthquakes are often ass…
Machine Learning Reveals the Seismic Signature of Eruptive Behavior at Piton de la Fournaise Volcano
C. X. Ren, A. Peltier, V. Ferrazzini +3
Volcanic tremor is key to our understanding of active magmatic systems but, due to its complexity, there is still a debate concerning its origins and how it can be used to characte…