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Cross-modal learning for SAR target recognition using optical vision foundation models

arXiv · AI, language, vision and robotics · article · Sep 7, 2026 · UTC

Synthetic Aperture Radar (SAR) is an important modality in a wide range of imaging applications due to its versatile, long range and near all weather operating capabilities. However, Automatic Target Recognition (ATR) remains a challenging problem due to limited labelled data, the strong speckle in SAR images and the significant domain gap between SAR and more abundant optical imagery. In contrast, electro-optical (EO) imagery benefits from massive datasets, clearer visual structure and powerful foundation models. In this work, we investigate how vision foundation models trained on optical dat

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First collected: 2026-09-20T20:32:20.942Z. This is not the publication date.