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Urban neighbourhood environment assessment based on street view image processing: A review of research trends

Environmental Challenges, 2021
The urban neighbourhood is one of the most important places for public activities and behaviour spaces in cities, and the quantification of their environments is receiving increasing attention from researchers. In the era of big data, numerous urban data
Nan He, Guanghao Li
doaj   +3 more sources

Multi‐scale attention encoder for street‐to‐aerial image geo‐localization

CAAI Transactions on Intelligence Technology, 2023
The goal of street‐to‐aerial cross‐view image geo‐localization is to determine the location of the query street‐view image by retrieving the aerial‐view image from the same place.
Songlian Li, Zhigang Tu, Yujin Chen, Tan Yu   +3 more
doaj   +2 more sources

An annotated street view image dataset for automated road damage detection [PDF]

Scientific Data
Road damage is a great threat to the service life and safety of roads, and the early detection of pavement damage can facilitate maintenance and repair.
Miao Ren, Xianfeng Zhang, Xiaobo Zhi, Yuanjia Wei, Ziyuan Feng   +4 more
doaj   +2 more sources

Exploring the relationship between urban visual density and responsible tourism behavior: a multimodal study of Macao [PDF]

Frontiers in Psychology
IntroductionUnderstanding responsible tourism behavior in high-density urban destinations is critical for sustainable tourism development. However, limited research has examined how tourists’ psychological evaluations are situated within objectively ...
Youcheng Wang, Haoran Lyu, Yixi Wu, Yifei Ouyang, Yifei Ouyang   +4 more
doaj   +2 more sources

USE-SVI: A reproducible pipeline for sampling, acquiring, and stitching Street View imagery to support urban analyticsI have shared my data/code at [PDF]

MethodsX
Street-level imagery (SLI) is increasingly used in urban analytics for tasks like estimating greenery, conducting transport audits, and assessing facades.
Iuria Betco, Cláudia M. Viana, Jorge Rocha   +2 more
doaj   +2 more sources

Geospatial dataset on human perceptions of wealth and physical disorder in urban China using street view imagery and deep learningFigshareFigshare [PDF]

Data in Brief
Human perception is often considered a comprehensive evaluation of environmental quality. It is an important indicator of neighbourhood socioeconomic status and has a significant impact on various social outcomes.
Yanji Zhang, Yongyi You, Shaokai Chen, Liang Cai   +3 more
doaj   +2 more sources

Analyzing the Influence of Urban Street Greening and Street Buildings on Summertime Air Pollution Based on Street View Image Data

ISPRS International Journal of Geo-Information, 2020
Transport emissions and street dust are important sources of summertime air pollution in urban centers. Street greening and buildings have an influence on the diffusion of air pollution from streets. For field measurements, many studies have analyzed the
Dong Wu, Jianhua Gong, Jianming Liang, Jin Sun, Guoyong Zhang   +4 more
doaj   +3 more sources

Google street view image availability in the Bronx and San Diego, 2007–2020: Understanding potential biases in virtual audits of urban built environments [PDF]

Health and Place, 2021
Cara M Smith, Joel D Kaufman, Stephen J Mooney   +2 more
exaly   +2 more sources

Assessing Google Street View Image Availability in Latin American Cities [PDF]

Journal of Urban Health, 2020
Dustin Fry, Stephen J Mooney, Daniel A Rodriguez   +2 more
exaly   +2 more sources

Developing Sidewalk Inventory Data Using Street View Images

Sensors, 2021
(1) Background: Public sidewalk GIS data are essential for smart city development. We developed an automated street-level sidewalk detection method with image-processing Google Street View data.
Bumjoon Kang, Sangwon Lee, Shengyuan Zou
doaj   +1 more source