AAG 2022 Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS: Urban Visual Intelligence
Type: Virtual Paper
Day: 3/1/2022
Start Time: 2:00 PM
End Time: 3:20 PM
Theme:
Sponsor Group(s):
Geographic Information Science and Systems Specialty Group
, Spatial Analysis and Modeling Specialty Group
, Urban Geography Specialty Group
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Organizer(s):
Yuhao Kang
, Fan Zhang
, Duarte Fabio
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Chairs(s):
Yuhao Kang, University of Wisconsin-Madison
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Description:
With the rapid development of cities and globally accelerated urbanization, half of the population live in cities, which occupy the majority of economic activities. A massive amount of image sources including remote sensing imagery, street view imagery as well as geo-tagged social media images provide rich geolocated image data sources for researchers to observe, perceive, and understand the built environment. Benefited from the advances in deep learning and computer vision techniques, high-level semantic information can be now extracted from images automatically and efficiently. In the past few years, various sources of geolocated imagery have been widely used in multiple fields, such as urban planning and design, autonomous vehicles, digital twins, city information modeling, public health, environmental criminology, tourism, real estate and energy consumption. It provides a new perspective to observe human settlement and to further understand the patterns of human-environment interactions.
Presentation(s), if applicable
Jacob Kruse, ; Places for play: Understanding human perception of playability in cities using street view images and deep learning |
Shengyuan Zou, ; Detecting individual abandoned houses from google street view: A hierarchical deep learning approach |
Changyu Han, ; Understanding Building Energy Efficiency in Glasgow by Multi-source Deep Learning Framework |
Yuhao Kang, University of Wisconsin-Madison; Human settlement value assessment from a place perspective: Considering human dynamics and perceptions in house price modeling |
Huan Ning, Pennsylvania State University; Converting street view images to land cover maps for metric mapping: a case study on sidewalk network extraction for the wheelchair users |
SM Ahsanullah, The Ohio State University; Comparison of LULC Change of Cities Sharing International Boundaries Using GIS and Remote Sensing Detroit and Windsor |
Non-Presenting Participants Agenda
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AAG 2022 Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS: Urban Visual Intelligence
Description
Virtual Paper
Contact the Primary Organizer
Yuhao Kang - yuhao.kang@wisc.edu
Session Sponsored By
