Crop field extraction from high resolution remote sensing images based on semantic edges and spatial structure map
Crop field boundary extraction is crucial to remote sensing images attained to support agricultural production and planning. In recent years, deep convolutional neural networks (CNNs) have gained significant attention for edge detection tasks. Moreover, transformers have shown superior feature extra...
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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Taylor & Francis Group
2024-01-01
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| Col·lecció: | Geocarto International |
| Matèries: | |
| Accés en línia: | https://www.tandfonline.com/doi/10.1080/10106049.2024.2302176 |
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