Stereo Matching of High-Resolution Satellite Images via Hierarchical ViT and Self-Supervised DINO
Dense matching plays an important role in 3D modeling from satellite images. Its purpose is to establish pixel-by-pixel correspondences between two stereo images. This study presents a learning-based dense matching approach that integrates selfsupervised learning with a multi-head attention mechanis...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-annals.copernicus.org/articles/X-G-2025/357/2025/isprs-annals-X-G-2025-357-2025.pdf |
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