AGs-Unet: Building Extraction Model for High Resolution Remote Sensing Images Based on Attention Gates U Network

Building contour extraction from high-resolution remote sensing images is a basic task for the reasonable planning of regional construction. Recently, building segmentation methods based on the U-Net network have become popular as they largely improve the segmentation accuracy by applying ‘skip conn...

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Detalles Bibliográficos
Autores principales: Yu, Mingyang, Chen, Xiaoxian, Zhang, Wenzhuo, Liu, Yaohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031445/
https://www.ncbi.nlm.nih.gov/pubmed/35458917
http://dx.doi.org/10.3390/s22082932

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031445/
https://www.ncbi.nlm.nih.gov/pubmed/35458917
http://dx.doi.org/10.3390/s22082932

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