Visual Evaluation of Urban Streetscape Design Supported by Multisource Data and Deep Learning.

Feng G, Zou G, Wang P

DOI: 10.1155/2022/3287117
Published: 2022
Container: Computational intelligence and neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2022/3287117,
  title = {Visual Evaluation of Urban Streetscape Design Supported by Multisource Data and Deep Learning.},
  author = {Feng G and Zou G and Wang P},
  year = {2022},
  journal = {Computational intelligence and neuroscience},
  doi = {10.1155/2022/3287117},
  url = {https://doi.org/10.1155/2022/3287117}
}

RIS

TY  - JOUR
TI  - Visual Evaluation of Urban Streetscape Design Supported by Multisource Data and Deep Learning.
AU  - Feng G
AU  - Zou G
AU  - Wang P
PY  - 2022
JO  - Computational intelligence and neuroscience
DO  - 10.1155/2022/3287117
UR  - https://doi.org/10.1155/2022/3287117
ER  -

APA

G, F., G, Z., & P, W. (2022). Visual Evaluation of Urban Streetscape Design Supported by Multisource Data and Deep Learning.. Computational intelligence and neuroscience. https://doi.org/10.1155/2022/3287117

Source records

pubmed · retrieved 2026-09-25T14:03:55.927Z