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.CV2024
Training Deep Learning Models with Hybrid Datasets for Robust Automatic Target Detection on real SAR images
Benjamin Camus, Théo Voillemin, Corentin Le Barbu +3
In this work, we propose to tackle several challenges hindering the development of Automatic Target Detection (ATD) algorithms for ground targets in SAR images. To address the lack…