A deep learning method for optimizing semantic segmentation accuracy of remote sensing images based on improved UNet

Semantic segmentation of remote sensing imagery (RSI) is critical in many domains due to the diverse landscapes and different sizes of geo-objects that RSI contains, making semantic segmentation challenging. In this paper, a convolutional network, named Adaptive Feature Fusion UNet (AFF-UNet), is pr...

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Detalles Bibliográficos
Autores principales: Wang, Xiaolei, Hu, Zirong, Shi, Shouhai, Hou, Mei, Xu, Lei, Zhang, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172362/
https://www.ncbi.nlm.nih.gov/pubmed/37165042
http://dx.doi.org/10.1038/s41598-023-34379-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172362/
https://www.ncbi.nlm.nih.gov/pubmed/37165042
http://dx.doi.org/10.1038/s41598-023-34379-2

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