SatUnreal: A High-Precision Synthetic Dataset for Satellite Stereo Matching via Unreal Engine

arXiv:2609.27442 · cs.CV, eess.IV · Submitted 2026-09-23 · Read on arXiv

cs.CV, eess.IV

Submitted: 2026-09-23

Updated: 2026-09-23

Comments: Accepted at CVPR 2026 Workshop on EarthVision (CVPRW 2026), pp. 7990-7999. Code and dataset: https://github.com/jmp-Telepix/SatUnreal_A_High-Precision_Synthetic_Dataset_for_Satellite_Stereo_Matching_via_UnrealEngine Supplementary material: https://openaccess.thecvf.com/content/CVPR2026W/EarthVision/supplemental/Kim_SatUnreal_A_High-Precision_CVPRW_2026_supplemental.pdf

Journal ref: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2026, pp. 7990-7999

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 7× in this paper · explained in 2 episodes
• Consistency — 7× in this paper · explained in 3 episodes
• Generalization — 6× in this paper · explained in 13 episodes
• Fidelity — 5× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 4× in this paper
• Zero-Shot Transfer — 4× in this paper · explained in 4 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Data Fusion — 3× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Semi-Global Matching — 3× in this paper
• Sim-to-Real Gap — 3× in this paper · explained in 6 episodes
• Temporal consistency — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Optical Flow — 2× in this paper · explained in 2 episodes
• Sim-to-Real Transfer — 2× in this paper · explained in 2 episodes
• Zero-Shot Generalization — 2× in this paper · explained in 5 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Ground Sample Distance — 1× in this paper
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Diachronic Stereo Matching for Multi-Date Satellite Imagery
• What Makes Good Synthetic Training Data for Zero-Shot Stereo Matching?

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