Cargando…
Visual Evaluation of Urban Streetscape Design Supported by Multisource Data and Deep Learning
This paper integrates classical design theory, multisource urban data, and deep learning to explore an accurate analytical framework in a new data environment, providing a scientific analysis path for the “where” and “how” of greenways in a high-density built environment. The analysis is based on st...
Autores principales: | Feng, Guanqing, Zou, Guangtian, Wang, Pengjin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8843774/ https://www.ncbi.nlm.nih.gov/pubmed/35178076 http://dx.doi.org/10.1155/2022/3287117 |
Ejemplares similares
-
Retracted: Visual Evaluation of Urban Streetscape Design Supported by Multisource Data and Deep Learning
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
Urban streetscapes : a workbook for designers
por: Gibbons, Johanna
Publicado: (1991) -
Streetscapes
Publicado: (1998) -
The impact of visual complexity on perceived safety and comfort of the users: A study on urban streetscape of Sri Lanka
por: Kawshalya, L. W. G., et al.
Publicado: (2022) -
Is Your Neighborhood Designed to Support Physical Activity? A Brief Streetscape Audit Tool
por: Sallis, James F., et al.
Publicado: (2015)