讲座时间

2023年5月9日（周二）

14:00 - 15:30

9th May 2023

Tuesday 14:00 - 15:30

参与方式

方式一：腾讯会议

腾讯会议ID：104359830

密码：152190

方式二：WUPEN视频号

欢迎扫码点击预约

讲座介绍

基于街景大数据的城市感知

Sensing Cities with Street-level Imagery

城市大数据的涌现为感知城市时空动态、评估城市化进程提供了新的途径。街景影像是感知城市物质空间的一种新型地理大数据。近年来，以深度学习和计算机视觉为代表的人工智能技术不断发展，为挖掘街景语义信息、理解和定量表达物质空间提供了强有力的支持。街景影像不但可以作为遥感影像的补充，以人的视角对城市物质空间进行观测；而且可以表达城市社会空间，反演城市物质空间背后的人类活动状况和社会经济环境，为基于大数据的人地关系研究、建成环境量化研究、空间数据挖掘与知识发现研究提供新的视角。本报告将以城市视觉智能框架为线索，从数据、场景、场所、城市等四个尺度介绍街景影像在城市研究中的若干案例。 

The emergence of urban big data has provided a novel approach  to comprehending the spatial and temporal dynamics of cities and evaluating the urbanization process.  Street view images are a new type of geographic big data that can help us understand urban material space.  Recently, advances in artificial intelligence technology, particularly in deep learning and computer vision,  have enabled us to mine semantic information from street view images and gain a quantitative understanding of material space.  Street view images are not only a supplement to remote sensing images,  but they also allow us to observe urban material space from a human perspective.  Furthermore, street view images provide insight into urban social space,  revealing the human activities and socio-economic environment that underlie the urban material space.  This perspective offers new opportunities for research on the relationship between humans and their environment,  the quantification of built environments, spatial data mining, and knowledge discovery based on big data.  This report, based on the framework of urban visual intelligence, introduces several cases that illustrate how street view images have been used in urban research from four dimensions: data, scene, place, and city.

讲座嘉宾

张帆

Dr Fan Zhang

香港科技大学土木与环境工程系助理教授，博士生导师。曾担任麻省理工学院高级研究员，感知城市实验室(MIT Senseable City Laboratory)视觉智能组负责人。曾在北京大学遥感所，联合国亚太经社会(UNESCAP)工作。担任国际摄影测量协会会刊ISPRS Journal of Photogrammetry and Remote Sensing客座编辑，Transactions in Urban Data, Science, and Technology副主编，领域内50余个SCI期刊审稿人，国际华人地理信息科学协会（CPGIS）理事，IEEE GRSS香港分会理事。曾获 Geospatial World 50 Rising Stars、WGDC全球前沿科技青年科学家称号，入选2022年度全球前2%顶尖科学家榜单。主要研究方向为地理大数据与空间智能，发展了城市视觉智能——基于街景影像大数据的城市感知方法体系。

Assistant Professor, Hong Kong University of Science and Technology. Senior Research Associate, MIT. Leader, Urban Visual AI group, MIT Senseable City Lab. Dr Fan Zhang was formerly a Senior Research Fellow at MIT and the lead of the Urban Visual AI group at the MIT Senseable City Lab. His research lies at the intersection of GIScience, Geospatial Data Science, and Computer Vision. Dr Zhang is currently an associate editor of Transactions in Urban Data, Science, and Technology, a guest editor of ISPRS Journal of Photogrammetry and Remote Sensing, and a reviewer for over 40 SCI journals in GIS and Remote Sensing. He was included in the Stanford's list of world's top 2% scientists in 2022. He was recognized as Geospatial World 50 Rising Stars in 2022 and received the Global Young Scientist Award in Frontier Science and Technology at WGDC 2020.

讲座组织

城市科学与规划分实验中心

Centre for Urban Science and Planning,TONGJl

同济大学建筑与城市规划学院

College of Architecture and Urban Planning, TONGJI

世界规划教育网络

World Urban Planning Education Network