Information Systems Technology
A STUDY ON HISTORICAL STREETSCAPES WITH THE SEMANTIC SEGMENTATION OF STREET IMAGES
−Case in the post towns along SAIGOKU-KAIDO in Hyogo−
2024 Volume 30 Issue 74 Pages 518-523
Details
2024 Volume 30 Issue 74 Pages 518-523
In this study, we aimed to contribute to a better understanding of the current state of the historic streetscapes in the post towns along SAIGOKU-KAIDO in Hyogo, which are currently inadequately preserved. In the analysis, we used semantic segmentation, a type of deep learning, to look for the spots with a high proportion of historical components, the ones that were supposed to be eye-catchers, etc. The analysis produces maps with the characteristics of the post towns along SAIGOKU-KAIDO, which enables you to grasp the current situations and organize where to re-landscape.
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