A STUDY ON HISTORICAL STREETSCAPES WITH THE SEMANTIC SEGMENTATION OF STREET IMAGES

DOI Web Site 6 References
  • UEDA Kentaro
    Formerly Dept. of Arch. and Building Eng., Grad. School of Eng., Osaka City Univ.
  • KOBAYASHI Yuki
    Dept. of Arch. and Building Eng., Grad. School of Eng., Osaka Metropolitan Univ.

Bibliographic Information

Other Title
  • 街路画像を用いたセマンティックセグメンテーションによる歴史的町並みの研究
  • −Case in the post towns along SAIGOKU-KAIDO in Hyogo−
  • −兵庫県の西国街道宿場町を対象として−

Abstract

<p>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.</p>

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