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Author

P. d'Angelo

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Open access Jul 2026

Efficient Fine-Tuning For Building Damage Assessment with High-Resolution Optical Satellite Imagery: A Case Study for War Damage in Ukraine

Abstract. In the aftermath of a disaster, whether natural, industrial, or war-related, a rapid and accurate assessment of building damage is crucial for rescue forces to conduct an effective emergency response. Very high-resolution satellite imagery enables such assessments and serves as an important indicator for unde...

Sebastian Gapp, C. Henry, P. d'Angelo et al. · 0 citations
Open access Jul 2026

From Aerial to Satellite: Can Super-Resolution Enable Label-Free Model Transfer?

This work investigates whether super-resolution (SR) methods can bridge the gap between aerial and high-resolution satellite imagery, enabling a label-free model transfer, meaning without fine-tuning the authors' model with additional manual annotations.

N. Merkle, C. Henry, S. Jangir et al. · 0 citations
Open access Jul 2026

Evaluation of Recent AI-based Point Matching Algorithms Applied on Aerial Images

Overall, state-of-the-art deep learning-based matchers still struggle with large rotations, scale differences, and semantic differences, and strongly benefit from prior image orientation knowledge and lack sub-pixel precision.

Pablo d'Angelo, F. Kurz, Alaa Eddine Ben Zekri et al. · 0 citations

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