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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eess.SP2025★ 1 cited

General Feature Extraction In SAR Target Classification: A Contrastive Learning Approach Across Sensor Types

M. Muzeau, J. Frontera-Pons, Chengfang Ren +1

The increased availability of SAR data has raised a growing interest in applying deep learning algorithms. However, the limited availability of labeled data poses a significant cha…

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…