3 papers
eess.SP2026
Fast Generation of Representative Synthetic Dataset with Salsa to Train ATR Models with Electromagnetic Couplings Data-Augmentation
Benjamin Camus, Julien Houssay, Corentin Le Barbu +3
This work focuses on training Automatic Target Recognition (ATR) models using simulated Synthetic Aperture Radar (SAR) images to circumvent the lack of real measurements. To obtain…
eess.IV2026
Sim2Real SAR Image Restoration: Metadata-Driven Models for Joint Despeckling and Sidelobes Reduction
Antoine De Paepe, Pascal Nguyen, Michael Mabelle +3
Synthetic aperture radar (SAR) provides valuable information about the Earth's surface under all weather and illumination conditions. However, the inherent phenomenon of speckle an…
cs.CV2025
Combining SAR Simulators to Train ATR Models with Synthetic Data
Benjamin Camus, Julien Houssay, Corentin Le Barbu +3
This work aims to train Deep Learning models to perform Automatic Target Recognition (ATR) on Synthetic Aperture Radar (SAR) images. To circumvent the lack of real labelled measure…