SCU-Net: Semantic Segmentation Network for Learning Channel Information on Remote Sensing Images

Extracting detailed information from remote sensing images is an important direction in semantic segmentation. Not only the amounts of parameters and calculations of the network model in the learning process but also the prediction effect after learning must be considered. This paper designs a new m...

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Detalles Bibliográficos
Autores principales: Wang, Wei, Kang, Yuxi, Liu, Guanqun, Wang, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013575/
https://www.ncbi.nlm.nih.gov/pubmed/35440946
http://dx.doi.org/10.1155/2022/8469415

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013575/
https://www.ncbi.nlm.nih.gov/pubmed/35440946
http://dx.doi.org/10.1155/2022/8469415

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