IASUNet: building extraction based on impoved attention Swin-UperNet

Abstract Detailed comprehension of the spatial configuration of structures is pivotal for safeguarding and enhancing the natural environment, maintaining urban safety, optimizing the utilization of construction resources, and urban planning. However, most existing models fail to fully capitalize on...

Descrición completa

Detalles Bibliográficos

Principais autores:	Hui Zhang, Yi Ma, Guofang Wang, Taoyang Wang, Zhilin Li
Formato:	Artigo
Idioma:	Inglês
Publicado:	Nature Portfolio 2026-02-01
Series:	Scientific Reports
Assuntos:	Building Semantic segmentation Remote sensing imagery Improved Swin-UperNet
Acceso en liña:	https://doi.org/10.1038/s41598-026-36270-2
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!