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An Improved Method for Road Extraction from High-Resolution Remote-Sensing Images that Enhances Boundary Information
At present, deep-learning methods have been widely used in road extraction from remote-sensing images and have effectively improved the accuracy of road extraction. However, these methods are still affected by the loss of spatial features and the lack of global context information. To solve these pr...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180710/ https://www.ncbi.nlm.nih.gov/pubmed/32272576 http://dx.doi.org/10.3390/s20072064 |