计算机科学与探索2024，Vol.18Issue(7)：1661-1682,22.DOI:10.3778/j.issn.1673-9418.2311083
全景影像在城市研究中的应用进展综述
Review of Application Progress of Panoramic Imagery in Urban Research
摘要
Abstract
The advances of panoramic imaging technology,the growing popularity of street view imagery tools,and the development in artificial intelligence such as computer vision,machine learning and deep learning,have led to the use of panoramic imagery for large-scale,automated discrimination and parsing in urban research.The rapid development of the aforementioned fields has led to a large number of cross-cutting results between the fields of panoramic imagery,artificial intelligence and urban research in the last two decades.In this paper,CiteSpace and VOSviewer are utilized as analysis platforms to investigate the advancement of panoramic imagery applications in urban research.Firstly,three de-velopmental stages of panoramic imagery in urban research are identified using a literature co-citation clustering net-work and a terminology time zone map.Subsequently,co-authorship network and keyword clustering analysis are employed to investigate the co-authorship relationships,acquisition methods and image information extraction tech-niques.Four main application fields of panoramic imagery in urban research are summarized:urban built environ-ment,urban landscape environment,urban physical environment and smart city.Finally,the primary driving factors for the advancement of panoramic imagery application areas are summarized from a historical perspective.Addition-ally,current challenges and future trends of panoramic imagery application in urban research are discussed.关键词
全景影像/街景图像/城市研究/人工智能/深度学习Key words
panoramic imagery/street view imagery/urban research/artificial intelligence/deep learning分类
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侯鑫,王艳,王绚,范伟..全景影像在城市研究中的应用进展综述[J].计算机科学与探索,2024,18(7):1661-1682,22.基金项目
国家自然科学基金国际(地区)合作与交流项目(52061160366) （地区）
教育部人文社会科学研究规划基金(23YJA630032).This work was supported by the International(Regional)Cooperation and Exchange Program of the National Natural Science Foundation of China(52061160366),and the Liberal Arts and Social Sciences Foundation of the Ministry of Education of China(23YJA630032). （23YJA630032）
