Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Zhitao Deng

Dados Biográficos

ID4181827
NOMEZhitao Deng
PRENOMESZhitao
SOBRENOMEDeng
ASSINATURADENG Z
AFILIAÇÕESChina University of Geosciences (Beijing)
ORCID0009-0005-6408-6602
VERIFICADONão
TOTAL DE OBRAS2
TOTAL DE CITAÇÕES3
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2024
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H1
  • Exploring the impact of urbanization intensity on human perception through street view imagery

    Open Access•Zhitao Deng, Tiantian Qin et al.•ARTICLE•Cities•2026•Referências: 45

    Conventional remote sensing–based measures of urbanization characterize built–unbuilt patterns at coarse spatial scales, limiting their ability to capture localized, human-scale features that shape how cities are experienced. To address this gap, we propose a street-view–derived Urbanization Intensity Index (UII) that operationalizes urbanization as a dual-channel construct combining built-environment exposure and streetscape functional diversity…

  • Urban Perception Assessment from Street View Images Based on a Multifeature Integration Encompassing Human Visual Attention

    Nai Yang, Zhitao Deng et al.•ARTICLE•Annals of the American…•2024•Citada por: 3•Referências: 46

    Urban perception is a multifaceted process, spanning from vision to cognitive interpretation. Earlier studies on urban perception assessment have primarily concentrated on the analysis of graphic features of street view images such as color or semantic elements, neglecting the vital human sensory fixation features in cognitive processes. This study leveraged eye-tracking technology to accumulate human visual attention data during emotion scoring …

  • Urban Perception Assessment from Street View Images Based on a Multifeature Integration Encompassing Human Visual Attention

    Nai Yang, Zhitao Deng et al.•ARTICLE•Annals of the American…•2024•Citada por: 3•Referências: 46

    Urban perception is a multifaceted process, spanning from vision to cognitive interpretation. Earlier studies on urban perception assessment have primarily concentrated on the analysis of graphic features of street view images such as color or semantic elements, neglecting the vital human sensory fixation features in cognitive processes. This study leveraged eye-tracking technology to accumulate human visual attention data during emotion scoring …

  • Urban Perception Assessment from Street View Images Based on a Multifeature Integration Encompassing Human Visual Attention

    Nai Yang, Zhitao Deng et al.•ARTICLE•Annals of the American…•2024•Citada por: 3•Referências: 46

    Urban perception is a multifaceted process, spanning from vision to cognitive interpretation. Earlier studies on urban perception assessment have primarily concentrated on the analysis of graphic features of street view images such as color or semantic elements, neglecting the vital human sensory fixation features in cognitive processes. This study leveraged eye-tracking technology to accumulate human visual attention data during emotion scoring …

  • Exploring the impact of urbanization intensity on human perception through street view imagery

    Open Access•Zhitao Deng, Tiantian Qin et al.•ARTICLE•Cities•2026•Referências: 45

    Conventional remote sensing–based measures of urbanization characterize built–unbuilt patterns at coarse spatial scales, limiting their ability to capture localized, human-scale features that shape how cities are experienced. To address this gap, we propose a street-view–derived Urbanization Intensity Index (UII) that operationalizes urbanization as a dual-channel construct combining built-environment exposure and streetscape functional diversity…

Perception (2 obras) · Automated Road and Building Extraction (1 obra) · Cognitive psychology (1 obra) · Computer Science (1 obra) · Computer vision (1 obra) · Construct (python library (1 obra) · Index (typography (1 obra) · Law (1 obra) · Limiting (1 obra) · Political science (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae