Development of approach to an automated acquisition of static street view images using transformer architecture for analysis of Building characteristics

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...

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Bibliographic Details
Main Author: Seunghyeon Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Static street view images
Google street view
Building characteristics
Image augmentation
Deep learning
Convolutional neural network
Online Access:https://doi.org/10.1038/s41598-025-14786-3
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https://doi.org/10.1038/s41598-025-14786-3

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