3 papers
cs.CV2026
SARLO-80: Worldwide Slant SAR Language Optic Dataset 80cm
Solène Debuysère, Nicolas Trouvé, Nathan Letheule +2
Multimodal foundation models have advanced rapidly thanks to large optical benchmarks, but comparable resources for synthetic aperture radar (SAR) remain limited. Existing SAR--opt…
cs.CV2025
Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images
Solène Debuysère, Nicolas Trouvé, Nathan Letheule +2
We present a framework for adapting a large pretrained latent diffusion model to high-resolution Synthetic Aperture Radar (SAR) image generation. The approach enables controllable…
eess.IV2025
From Spaceborne to Airborne: SAR Image Synthesis Using Foundation Models for Multi-Scale Adaptation
Solene Debuysere, Nicolas Trouve, Nathan Letheule +2
The availability of Synthetic Aperture Radar (SAR) satellite imagery has increased considerably in recent years, with datasets commercially available. However, the acquisition of h…