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Urban color in public design: a review of spatial aesthetics and behavioral impact in Chinese and South Korean cities using structural equation modelling approaches. [PDF]
Front PsycholYu H, Liu R, Kumar R, Singh S, Kumar R.
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Monitoring crop phenology with street-level imagery using computer vision
Computers and Electronics in Agriculture, 2022 18 ...
Raphaël D'Andrimont +2 more
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Temporal city modeling using street level imagery
Computer Vision and Image Understanding, 2017We propose two methods for detecting city changes depending on available data.Presence of buildings is estimated by comparing street images and a 2D city map.Scene changes are estimated from an image pair roughly aligned with GPS data.The proper use of these images enables temporal city modeling in various situations. Estimation of the temporal changes
Ken Sakurada +2 more
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Text recognition on traffic panels from street-level imagery
2012 IEEE Intelligent Vehicles Symposium, 2012Text detection and recognition in images taken in uncontrolled environments still remains a challenge in computer vision. This paper presents a method to extract the text depicted in road panels in street view images as an application to Intelligent Transportation Systems (ITS).
Álvaro Gonzalez +3 more
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Urban function recognition by integrating social media and street-level imagery
Environment and Planning B: Urban Analytics and City Science, 2020Recognizing urban functions is crucial for understanding urban spatial structures and urban planning. Previous work has investigated urban functions based on human activities that were derived from mobile phone positioning data, check-in data, taxi data, etc.
Chao Ye +4 more
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Geo Journal, 2018 OpenStreetCam and Mapillary are two increasingly popular online services centered on providing street-level imagery through close association with the OpenStreetMap platform and crowdmapping community. While both services provide crowdsourced street-level imagery, the differences in their aims and operations present an opportunity to discuss the ...
Luis F Alvarez Leon, Sterling Quinn
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Every single street? Rethinking full coverage across street‐level imagery platforms
Transactions in GIS, 2019AbstractStreet‐level images taken by vehicles and pedestrians have found a role in various companies’ location‐based intelligence services. Some platforms collect their images using their own cars and drivers, while others rely on crowdsourcing; however, to what extent can we expect crowdsourced approaches to reach the imagery coverage levels obtained ...
Sterling D. Quinn +1 more
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Street-level imagery analytics and applications
ISPRS Journal of Photogrammetry and Remote Sensing, 2023Zhang, Fan +3 more
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Sustainable Cities and SocietyHigh-resolution microclimate data is essential for capturing spatio-temporal heterogeneity of urban climate and heat health management. However, previous studies have relied on dense measurements that require significant costs for equipment, or on physical simulations demanding intensive computational loads. As a potential alternative to these methods,
Kunihiko Fujiwara +2 more
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Mapping urban trees with deep learning and street-level imagery
2020Planning and managing urban trees and forests for livable cities remains an outstanding challenge worldwide owing to scarce information on their spatial distribution, structure and composition. Sources of tree inventory remain limited due to a lack of detailed and consistent inventory assessments.
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