Weakly Supervised Building Semantic Segmentation Based on Spot-Seeds and Refinement Process

Automatic building semantic segmentation is the most critical and relevant task in several geospatial applications. Methods based on convolutional neural networks (CNNs) are mainly used in current building segmentation. The requirement of huge pixel-level labels is a significant obstacle to achieve...

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Detalles Bibliográficos
Autores principales: Moghalles, Khaled, Li, Heng-Chao, Alazeb, Abdulwahab
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141811/
https://www.ncbi.nlm.nih.gov/pubmed/35626624
http://dx.doi.org/10.3390/e24050741

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141811/
https://www.ncbi.nlm.nih.gov/pubmed/35626624
http://dx.doi.org/10.3390/e24050741

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