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...

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Detalles Bibliográficos
Autores principales: Wang, Shuai, Yang, Hui, Wu, Qiangqiang, Zheng, Zhiteng, Wu, Yanlan, Li, Junli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180710/
https://www.ncbi.nlm.nih.gov/pubmed/32272576
http://dx.doi.org/10.3390/s20072064

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