Transformer-Based Semantic Segmentation for Extraction of Building Footprints from Very-High-Resolution Images

Semantic segmentation with deep learning networks has become an important approach to the extraction of objects from very high-resolution remote sensing images. Vision Transformer networks have shown significant improvements in performance compared to traditional convolutional neural networks (CNNs)...

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Detalles Bibliográficos
Autores principales: Song, Jia, Zhu, A-Xing, Zhu, Yunqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255903/
https://www.ncbi.nlm.nih.gov/pubmed/37299892
http://dx.doi.org/10.3390/s23115166

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255903/
https://www.ncbi.nlm.nih.gov/pubmed/37299892
http://dx.doi.org/10.3390/s23115166

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