Robust Building Extraction for High Spatial Resolution Remote Sensing Images with Self-Attention Network

Building extraction from high spatial resolution remote sensing images is a hot spot in the field of remote sensing applications and computer vision. This paper presents a semantic segmentation model, which is a supervised method, named Pyramid Self-Attention Network (PISANet). Its structure is simp...

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Detalles Bibliográficos
Autores principales: Zhou, Dengji, Wang, Guizhou, He, Guojin, Long, Tengfei, Yin, Ranyu, Zhang, Zhaoming, Chen, Sibao, Luo, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766463/
https://www.ncbi.nlm.nih.gov/pubmed/33348752
http://dx.doi.org/10.3390/s20247241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766463/
https://www.ncbi.nlm.nih.gov/pubmed/33348752
http://dx.doi.org/10.3390/s20247241

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