Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Comprehensive urban space representation with varying numbers of street-level images

Datos Bibliográficos

ID21478747
AutoresYingjing Huang (0000-0002-8772-1403, Peking University), Fan Zhang (0000-0002-3643-018X, Peking University, autor de correspondencia), Yong Gao (0000-0003-0067-9626, Peking University), Wei Tu (0000-0002-2222-5302, Shenzhen University), Fábio Duarte (0000-0003-0909-5379, Massachusetts Institute of Technology), Carlo Ratti (0000-0002-1065-2972, Massachusetts Institute of Technology), Diansheng Guo (0000-0003-3483-4153, Tencent (China)), Yu Liu (0000-0002-0016-2902, Peking University), Liu Yu (0000-0003-0490-0471)
Año2023
Volumen106
Páginas102043
Fecha de publicación2023-12-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaComputers Environment and Urban Systems (JOURNAL)
Identificadores de la revistaISSN: 0198-9715 • E-ISSN: 1873-7587
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.compenvurbsys.2023.102043
OpenAlexW4387532940
IdiomaEN
Citas recibidas8
Referencias citadas55

Cartography · Computer vision · Deep learning · Geography · Grid · Ranging · Telecommunications · Computer Science · Human Mobility and Location-Based Analysis · Impact of Light on Environment and Health · Land Use and Ecosystem Services · Artificial Intelligence

  • Data-driven insights into flood disasters

    Open Access•Hanyu Yin, Cong Huang et al.•Applied Geography•2025

  • Microclimate Vision

    Open Access•Kunihiko Fujiwara, Maxim Khomiakov et al.•Sustainable Cities and Society•2024

  • Evaluation of street-scale air pollution using multi-source data fusion

    Open Access•Zhihao Guo, Xun Zhang et al.•Sustainable Cities and Society•2026

  • Street review

    Open Access•Rashid A Mushkani, Rashid Mushkani et al.•Cities•2025

  • Measuring urban physical environments using image deep features

    Open Access•Yingjing Huang, Fan Zhang et al.•Cities•2025

  • Learning street view representations based on a spatiotemporal contrastive learning framework

    Open Access•Yong Li, Yingjing Huang et al.•Computers Environment and Urban…•2026

  • Mapping urban villages in China

    Open Access•Rui Cao, Wei Tu et al.•Computers Environment and Urban…•2025

  • Urban Visual Intelligence

    Open Access•Fan Zhang, Arianna Salazar-Miranda et al.•Annals of the American…•2024

  • Measuring human perceptions of a large-scale urban region using machine learning

    Open Access•Fan Zhang, Bolei Zhou et al.•Landscape and Urban Planning•2018

  • A new insight into land use classification based on aggregated mobile phone data

    Tao Pei, Stanislav Sobolevsky et al.•International Journal of…•2014

  • Mapping sky, tree, and building view factors of street canyons in a high-density urban environment

    Open Access•Fang-Ying Gong, Zhao-Cheng Zeng et al.•Building and Environment•2018

  • A review of urban physical environment sensing using street view imagery in public health studies

    Open Access•Yuhao Kang, Fan Zhang et al.•Annals of GIS•2020

  • Using deep learning to examine street view green and blue spaces and their associations with geriatric depression in Beijing, China

    Open Access•Marco Helbich, Yao Yao et al.•Environment International•2019

  • Extracting urban functional regions from points of interest and human activities on location‐based social networks

    Open Access•Song Gao, Krzysztof Janowicz et al.•Transactions in GIS•2017

  • The Challenge of Slums

    Open Access•Un-Habitat Un-Habitat, UN‐Habitat UN‐Habitat•Management of Environmental…•2004

  • Crowdsourcing urban form and function

    Andrew Crooks, Dieter Pfoser et al.•International Journal of…•2015

  • Places

    Open Access•Bolei Zhou, Agata Lapedriza et al.•IEEE Transactions on Pattern…•2018

  • Assessing street-level urban greenery using Google Street View and a modified green view index

    Open Access•Xiaojiang Li, Chuanrong Zhang et al.•Urban Forestry & Urban Greening•2015

  • Green streets − Quantifying and mapping urban trees with street-level imagery and computer vision

    Open Access•Ian Seiferling, Nikhil Naik et al.•Landscape and Urban Planning•2017

  • “Perception bias”

    Open Access•Fan Zhang, Zhuangyuan Fan et al.•Landscape and Urban Planning•2021

  • Street view imagery in urban analytics and GIS

    Open Access•Filip Biljecki, Koichi Ito•Landscape and Urban Planning•2021

  • Revealing spatio-temporal evolution of urban visual environments with street view imagery

    Open Access•Xiucheng Liang, Tianhong Zhao et al.•Landscape and Urban Planning•2023

  • The visual quality of streets

    Open Access•Yu Ye, Ye Yu et al.•Environment and Planning B Urban…•2019

  • Urban function recognition by integrating social media and street-level imagery

    Open Access•Chao Ye, Fan Zhang et al.•Environment and Planning B Urban…•2021

  • Systematic review of the use of Google Street View in health research

    Open Access•Amanda Rzotkiewicz, Amber L Pearson et al.•Health & Place•2018

  • Understanding cities with machine eyes

    Open Access•Mohamed R Ibrahim, James Haworth et al.•Cities•2020

  • Residential Satisfaction in China's Informal Settlements

    Open Access•Zhigang Li, Fulong Wu•Urban Geography•2013

  • Understanding architecture age and style through deep learning

    Open Access•Maoran Sun, Fan Zhang et al.•Cities•2022

  • Human settlement value assessment from a place perspective

    Open Access•Yuhao Kang, Fan Zhang et al.•Cities•2021

  • Assessment on the urbanization strategy in China

    Open Access•XingLiang Guan, Houkai Wei et al.•Habitat International•2018

  • Social Sensing

    Yu Liu, Xi Liu et al.•Annals of the Association of…•2015

  • A Computer Movie Simulating Urban Growth in the Detroit Region

    W R Tobler, Waldo Tobler•Economic Geography•1970

  • Building an image of Villages-in-the-City

    Open Access•Him Chung•International Journal of Urban…•2010

  • Urbanization and Informal Development in China

    Open Access•Ya Ping Wang, Yanglin Wang et al.•International Journal of Urban…•2009

Obras citantes distintas8
Citas por año4
Intervalo de citas2024 - 2026 (3)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 8
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae