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C. Heipke

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Open access Aug 2026

Domain Adaptation for Deforestation Detection in Remote Sensing: Addressing Class Imbalance and Performance Estimation

Deep learning approaches applied to remote sensing imagery have become essential for large-scale monitoring and quantification of global deforestation. Their performance, however, is strongly constrained by the limited availability of extensive annotated datasets. Domain adaptation has emerged as a promising strategy...

M. Ortega, G. A. O. Pedro da Costa, F. Rottensteiner et al. · 0 citations
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

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