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서울시 가로환경 요소의 시각적 특성이 보행만족도에 미치는 영향 분석: 구글 가로이미지와 딥러닝 의미론적 분할 기법을 활용하여Analysis 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.
- Other Titles
- Analysis 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.
- Issue Date
- Nov-2020
- Publisher
- 한국도시설계학회
- Citation
- 한국도시설계학회 추계학술대회논문집, pp.537 - 551
- Indexed
- OTHER
- Journal Title
- 한국도시설계학회 추계학술대회논문집
- Start Page
- 537
- End Page
- 551
- Files in This Item
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Collections - 서울 공과대학 > 서울 도시공학과 > 1. Journal Articles
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Related Researcher
- Lee, Sugie
- COLLEGE OF ENGINEERING (DEPARTMENT OF URBAN PLANNING AND ENGINEERING)