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서울시 가로환경 요소의 시각적 특성이 보행만족도에 미치는 영향 분석: 구글 가로이미지와 딥러닝 의미론적 분할 기법을 활용하여

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dc.contributor.author박근덕-
dc.contributor.author기동환-
dc.contributor.author이수기-
dc.date.accessioned2022-07-07T11:09:10Z-
dc.date.available2022-07-07T11:09:10Z-
dc.date.created2021-05-14-
dc.date.issued2020-11-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/144301-
dc.language한국어-
dc.language.isoko-
dc.publisher한국도시설계학회-
dc.title서울시 가로환경 요소의 시각적 특성이 보행만족도에 미치는 영향 분석: 구글 가로이미지와 딥러닝 의미론적 분할 기법을 활용하여-
dc.title.alternativeAnalysis of Visual Characteristics of Urban Street Elements on Walking Satisfaction in Seoul, Korea: Application of Google Steet View and Deep Learning Technique of Semantic Segmentation.-
dc.typeArticle-
dc.contributor.affiliatedAuthor이수기-
dc.identifier.bibliographicCitation한국도시설계학회 추계학술대회논문집, pp.537 - 551-
dc.relation.isPartOf한국도시설계학회 추계학술대회논문집-
dc.citation.title한국도시설계학회 추계학술대회논문집-
dc.citation.startPage537-
dc.citation.endPage551-
dc.type.rimsART-
dc.type.docTypeProceeding-
dc.description.journalClass2-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.identifier.urlhttps://www.auric.or.kr/User/Rdoc/RdocDirectoryStep3.aspx?dbname=RD_R&organCode2=udik02&yearmonth=202011&n=1-
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서울 공과대학 > 서울 도시공학과 > 1. Journal Articles

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