Automatic Impervious Surface Area Detection Using Image Texture Analysis and Neural Computing Models with Advanced Optimizers

Up-to-date information regarding impervious surface is valuable for urban planning and management. The objective of this study is to develop neural computing models used for automatic impervious surface area detection at a regional scale. To achieve this task, advanced optimizers of adaptive moment...

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Detalles Bibliográficos
Autor principal: Hoang, Nhat-Duc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902138/
https://www.ncbi.nlm.nih.gov/pubmed/33643406
http://dx.doi.org/10.1155/2021/8820116

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902138/
https://www.ncbi.nlm.nih.gov/pubmed/33643406
http://dx.doi.org/10.1155/2021/8820116

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