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A human-machine adversarial scoring framework for urban perception assessment using street-view images
16 references·1 citing·51 second hop
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References

  • 2014Urban green space, public health, and environmental justice: The challenge of making cities ‘just green enough’4,734 cited
  • 2014Human–environment interactions in urban green spaces — A systematic review of contemporary issues and prospects for future research924 cited
  • 1979Visual landscapes and psychological well‐being894 cited
  • 2018Measuring human perceptions of a large-scale urban region using machine learning808 cited
  • 2016Green spaces and General Health: Roles of mental health status, social support, and physical activity641 cited
  • 1982Mental Illness in the Community: The Pathway to Psychiatric Care.625 cited
  • 2001The Built Environment and Human Activity Patterns: Exploring the Impacts of Urban Form on Public Health620 cited
  • 2013The Collaborative Image of The City: Mapping the Inequality of Urban Perception609 cited
  • 1999MULTIDIMENSIONAL PERCEPTION OF RESIDENTIAL ENVIRONMENT QUALITY AND NEIGHBOURHOOD ATTACHMENT IN THE URBAN ENVIRONMENT606 cited
  • 2016Deep Learning the City: Quantifying Urban Perception at a Global Scale606 cited
  • 2017Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States547 cited
  • 2016Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model490 cited
  • 2017Classifying urban land use by integrating remote sensing and social media data368 cited

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  • 2015Extracting and understanding urban areas of interest using geotagged photos320 cited
  • 2017Computer vision uncovers predictors of physical urban change300 cited
  • 2017Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data227 cited
  • Cited by

    • 2020A review of urban physical environment sensing using street view imagery in public health studies311 cited