{"title":"利用街景图像和深度学习技术评估街区的视觉相似性","authors":"Deepank Verma, Olaf Mumm, Vanessa Miriam Carlow","doi":"10.1080/13574809.2024.2357804","DOIUrl":null,"url":null,"abstract":"Despite the wide availability of street-view data and advanced computational techniques, the topic of perceived visual similarity in urban design has received little attention. The impact of visual...","PeriodicalId":47466,"journal":{"name":"Journal of Urban Design","volume":"53 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing visual similarity of neighbourhoods with street view images and deep learning techniques\",\"authors\":\"Deepank Verma, Olaf Mumm, Vanessa Miriam Carlow\",\"doi\":\"10.1080/13574809.2024.2357804\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Despite the wide availability of street-view data and advanced computational techniques, the topic of perceived visual similarity in urban design has received little attention. The impact of visual...\",\"PeriodicalId\":47466,\"journal\":{\"name\":\"Journal of Urban Design\",\"volume\":\"53 1\",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Urban Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/13574809.2024.2357804\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"URBAN STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Urban Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/13574809.2024.2357804","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"URBAN STUDIES","Score":null,"Total":0}
Assessing visual similarity of neighbourhoods with street view images and deep learning techniques
Despite the wide availability of street-view data and advanced computational techniques, the topic of perceived visual similarity in urban design has received little attention. The impact of visual...
期刊介绍：
The Journal of Urban Design is a scholarly international journal which advances theory, research and practice in urban design. There is a growing recognition of the need for urban design in shaping, managing and improving the quality of the urban environment. It is now considered one of the core knowledge components of planning and architectural education and practice. Thus, increasing numbers of architects, planners, surveyors, landscape architects and other professions concerned with the quality of urban development are specialising in urban design. The Journal of Urban Design provides a new forum to bring together those contributing to this re-emerging discipline and enables researchers, scholars, practitioners and students to explore its many dimensions. The Journal publishes original articles in specialised areas such as urban aesthetics and townscape; urban structure and form; sustainable development; urban history, preservation and conservation; urban regeneration; local and regional identity; design control and guidance; property development; practice and implementation.
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