[HTML][HTML] Street view imagery in urban analytics and GIS: A review

F Biljecki, K Ito - Landscape and Urban Planning, 2021 - Elsevier
Street view imagery has rapidly ascended as an important data source for geospatial data
collection and urban analytics, deriving insights and supporting informed decisions. Such …

[HTML][HTML] Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives

F Biljecki, T Zhao, X Liang, Y Hou - International Journal of Applied Earth …, 2023 - Elsevier
Abstract Street View Imagery (SVI) is crucial in estimating indicators such as Sky View Factor
(SVF) and Green View Index (GVI), but (1) approaches and terminology differ across fields …

Measuring perceived psychological stress in urban built environments using Google Street View and deep learning

X Han, L Wang, SH Seo, J He, T Jung - Frontiers in public health, 2022 - frontiersin.org
An urban built environment is an important part of the daily lives of urban residents.
Correspondingly, a poor design can lead to psychological stress, which can be harmful to …

Panoramic street-level imagery in data-driven urban research: A comprehensive global review of applications, techniques, and practical considerations

J Cinnamon, L Jahiu - ISPRS international journal of geo-information, 2021 - mdpi.com
The release of Google Street View in 2007 inspired several new panoramic street-level
imagery platforms including Apple Look Around, Bing StreetSide, Baidu Total View, Tencent …

Building usage prediction in complex urban scenes by fusing text and facade features from street view images using deep learning

SP Ramalingam, V Kumar - Building and Environment, 2025 - Elsevier
Building usage maps are inputs to many urban planning applications, however, the existing
methods and the available data have limitations in generating instance-level high-resolution …

The relation between green visual index and visual comfort in Qingdao coastal streets

D Sun, X Ji, W Gao, F Zhou, Y Yu, Y Meng, M Yang… - Buildings, 2023 - mdpi.com
The public's mental health is obviously impacted by the perception of green quantity in
urban streets. As one of the important urban spatial indicators, the Green View Index (GVI) …

[HTML][HTML] Urban Perception Evaluation and Street Refinement Governance Supported by Street View Visual Elements Analysis

F Tang, P Zeng, L Wang, L Zhang, W Xu - Remote Sensing, 2024 - mdpi.com
As street imagery and big data techniques evolve, opportunities for refined urban
governance emerge. This study delves into effective methods for urban perception …

Urban architectural style recognition and dataset construction method under deep learning of street view images: A case study of Wuhan

H Xu, H Sun, L Wang, X Yu, T Li - ISPRS International Journal of Geo …, 2023 - mdpi.com
The visual quality and spatial distribution of architectural styles represent a city's image,
influence inhabitants' living conditions, and may have positive or negative social …

Measuring the perceptual features of coastal streets: a case study in Qingdao, China

M Lyu, Y Meng, W Gao, Y Yu, X Ji, Q Li… - Environmental …, 2022 - iopscience.iop.org
The coastal streets are the most attractive urban space, improving spatial quality and public
perception of coastal streets is an important work of urban regeneration. The study used …

Assessing the effects of subjective and objective measures on housing prices with street view imagery: A case study of Suzhou

J Zhu, Y Gong, C Liu, J Du, C Song, J Chen, T Pei - Land, 2023 - mdpi.com
The price of a house is affected by both the subjective and objective factors of the street
environment in a neighborhood. However, the relationships between these factors and …