Assessing visual similarity of neighbourhoods with street view images and deep learning techniques

IF 1.4 Q3 URBAN STUDIES

Journal of Urban Design Pub Date : 2024-05-30 DOI:10.1080/13574809.2024.2357804

Deepank Verma, Olaf Mumm, Vanessa Miriam Carlow

引用次数: 0

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...

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利用街景图像和深度学习技术评估街区的视觉相似性

尽管街景数据和先进的计算技术已被广泛使用，但城市设计中的视觉相似性却鲜有人关注。视觉相似性对城市设计的影响...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Urban Design URBAN STUDIES-

CiteScore

4.70

自引率

4.80%

发文量

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.