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20222026
most citedRobust SAR ATR on MSTAR with Deep Learning Models trained on Full Synthetic MOCEM data

4 citations · 4 across the 3 of their papers we have counts for

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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…

cs.CV2022★ 4 cited

Robust SAR ATR on MSTAR with Deep Learning Models trained on Full Synthetic MOCEM data

Benjamin Camus, Corentin Le Barbu, Eric Monteux

The promising potential of Deep Learning for Automatic Target Recognition (ATR) on Synthetic Aperture Radar (SAR) images vanishes when considering the complexity of collecting trai…