Urban Land Use and Land Cover Classification Using Novel Deep Learning Models Based on High Spatial Resolution Satellite Imagery

Urban land cover and land use mapping plays an important role in urban planning and management. In this paper, novel multi-scale deep learning models, namely ASPP-Unet and ResASPP-Unet are proposed for urban land cover classification based on very high resolution (VHR) satellite imagery. The propose...

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Detalles Bibliográficos
Autores principales: Zhang, Pengbin, Ke, Yinghai, Zhang, Zhenxin, Wang, Mingli, Li, Peng, Zhang, Shuangyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263528/
https://www.ncbi.nlm.nih.gov/pubmed/30388781
http://dx.doi.org/10.3390/s18113717

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263528/
https://www.ncbi.nlm.nih.gov/pubmed/30388781
http://dx.doi.org/10.3390/s18113717

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