Development of approach to an automated acquisition of static street view images using transformer architecture for analysis of Building characteristics
Abstract Static Street View Images (SSVIs) are widely used in urban studies to analyze building characteristics. Typically, camera parameters such as pitch and heading need precise adjustments to clearly capture these features. However, system errors during image acquisition frequently result in unu...
Saved in:
| Main Author: | Seunghyeon Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-14786-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predicting housing price, housing density, and green area coverage from combined satellite and street view imagery using deep learning
by: Ana Beatriz de Figueiredo Oliveira, et al.
Published: (2025-08-01) -
Integrating street view imagery and taxi trajectory for identifying urban function of street space
by: Mianxin Gao, et al.
Published: (2025-05-01) -
BuildWin-SAM: An Improved SAM-Based Method for Extracting Building Windows From Street View Images
by: Zhengnan Li, et al.
Published: (2025-01-01) -
Towards vertical urban geometry extraction: occlusion-reduced estimation from street view images using diffusion models
by: Yizhen Yan, et al.
Published: (2025-08-01) -
Impact of Streetscape Built Environment Characteristics on Human Perceptions Using Street View Imagery and Deep Learning: A Case Study of Changbai Island, Shenyang
by: Xu Lu, et al.
Published: (2025-05-01)