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20222025
most citedGeneral Feature Extraction In SAR Target Classification: A Contrastive Learning Approach Across Sensor Types

1 citations · 1 across the 2 of their papers we have counts for

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cs.CV2024

SAFE: a SAR Feature Extractor based on self-supervised learning and masked Siamese ViTs

Max Muzeau, Joana Frontera-Pons, Chengfang Ren +1

Due to its all-weather and day-and-night capabilities, Synthetic Aperture Radar imagery is essential for various applications such as disaster management, earth monitoring, change…

cs.CV2022

Deep Learning-Based Anomaly Detection in Synthetic Aperture Radar Imaging

Max Muzeau, Chengfang Ren, Sébastien Angelliaume +2

In this paper, we proposed to investigate unsupervised anomaly detection in Synthetic Aperture Radar (SAR) images. Our approach considers anomalies as abnormal patterns that deviat…