Utilizing Semantic Segmentation to Analyse Google Street View Imagery for Health-Oriented Urban Planning
After the onset of the Coronavirus Disease 2019 (COVID-19) pandemic, the public health benefits of urban green space (UGS) have attracted increased attention. In exposure science, visibility has been considered a fundamental category for assessing green space exposure, yet evaluations in Denmark ra...
Saved in:
Main Author: | Siyi Qi |
---|---|
Format: | Article |
Language: | Danish |
Published: |
Aalborg University Open Publishing
2024-12-01
|
Series: | Geoforum Perspektiv |
Online Access: | https://discurso.aau.dk/index.php/gfp/article/view/8437 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Urban landscape pattern affects plant diversity in green spaces: Evidence from street view imagery
by: Yang Ye, et al.
Published: (2025-01-01) -
sites.google.com/view/Lapinskas – Mathematical readings
by: Remigijus Lapinskas
Published: (2023-11-01) -
StreetSurfaceVis: a dataset of crowdsourced street-level imagery annotated by road surface type and quality
by: Alexandra Kapp, et al.
Published: (2025-01-01) -
A guided approach for cross-view geolocalization estimation with land cover semantic segmentation
by: Nathan A.Z. Xavier, et al.
Published: (2025-06-01) -
The effect of sensation seeking on intention to consume street food: utilizing the theory of planned behavior
by: Tran Thi Tuyet, et al.
Published: (2025-12-01)