Composition of landscape recognition that uses fractal analysis by local inhabitants in Kamakura

Satoshi Yamada, Nobutaka Shintani, Hirotomo Ohuchi

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This paper studies the landscape recognition of the Kamakura historical area by residents of the area. The urban structure that forms the regional environment is quantitatively analyzed using fractal dimensional analyses of a 3-dimension shaded picture, an aerial photo, and a 3-dimension model. Landscape recognition is correlated to the visible area image and the cognitive area chart. The fractal dimension of the 'typical landscape of Kamakura' is analyzed to determine the residents'shared observation of physical or environmental change. Also considered is the residents'acknowledgement of the observation and its relation to the urban structure.

Original languageEnglish
Pages (from-to)209-212
Number of pages4
JournalHuanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science)
Volume35
Issue numberSUPPL.
Publication statusPublished - 2007 Oct
Externally publishedYes

Keywords

  • Aerial photo
  • Fractal
  • Landscape recognition
  • Resident
  • Space
  • Vision

ASJC Scopus subject areas

  • Engineering(all)

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