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Author

F. Rottensteiner

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Open access Sep 2026

Contributions to Integrity and Collaboration in Dynamic Sensor Networks

Reliable and safe navigation of autonomous systems is an active field of research, particularly in the context of complex urban environments. A key challenge is navigation integrity, defined as the trust in the correctness of the estimated system state; the transfer of this concept from aviation to collaborative mu...

Rozhin Moftizadeh, M. Mehltretter, R. Ali et al. · 0 citations
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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