HUGStereo: A Hierarchical Fusion and Geometry-Aware Refinement Network for High-Resolution Satellite Stereo Matching
End-to-end stereo matching methods designed for terrestrial imagery often perform poorly on satellite data due to complex scenes with abundant occlusions, repetitive and textureless regions, and large variations in scale. To address these challenges, we propose a novel network architecture, HUGStere...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2026-01-01
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| coleção: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/11503019/ |
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