DepthFormer: Depth‐Enhanced Transformer Network for Semantic Segmentation of the Martian Surface From Rover Images
Abstract The Martian surface, with its diverse landforms that reflect the planet's evolution, has attracted increasing scientific interest. While extensive data is needed for interpretation, identifying landform types is crucial. This semantic information reveals underlying features and patterns, of...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
American Geophysical Union (AGU)
2025-06-01
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| Schriftenreihe: | Earth and Space Science |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1029/2024EA003812 |
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