Automatic Building Extraction from Google Earth Images under Complex Backgrounds Based on Deep Instance Segmentation Network

Building damage accounts for a high percentage of post-natural disaster assessment. Extracting buildings from optical remote sensing images is of great significance for natural disaster reduction and assessment. Traditional methods mainly are semi-automatic methods which require human-computer inter...

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Detalles Bibliográficos
Autores principales: Wen, Qi, Jiang, Kaiyu, Wang, Wei, Liu, Qingjie, Guo, Qing, Li, Lingling, Wang, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359531/
https://www.ncbi.nlm.nih.gov/pubmed/30650645
http://dx.doi.org/10.3390/s19020333

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359531/
https://www.ncbi.nlm.nih.gov/pubmed/30650645
http://dx.doi.org/10.3390/s19020333

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