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Author

C. Heipke

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Open access Jul 2026

Zero-shot multi-class semantic segmentation of remote sensing images using SAM 2 with prior database information

This work presents a new method for using the VFM Segment Anything Model 2 (SAM 2) for multi-class semantic segmentation of Sentinel-2 images that does not require training data and achieves an overall accuracy of up to 93% at pixel-level using polygon mask prompts.

Paula L. Lippmann, M. Dorozynski, F. Rottensteiner et al. · 0 citations