Details

Autor(en) / Beteiligte

• Lu Wang
• Fang Fang
• Xiaohui Yuan
• Zhongwen Luo
• Yuanyuan Liu
• Bo Wan
• Yishi Zhao

Titel

Urban function zoning using geotagged photos and openstreetmap

Ist Teil von

• 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017, p.815-818

Ort / Verlag

IEEE

Erscheinungsjahr

2017

Quelle

IEEE

Beschreibungen/Notizen

• Urban function zoning is of great importance for urban structure optimization, urban resource allocation, and urban development planning. Since citizens usually act as a network of motion sensors of the city, their activities could reflect the environment around them. We considered taking advantage of VGI data to classify urban function zones. In this paper, we proposed a framework for automated urban function zoning which is based on VGI geo-tagged photos and OpenStreetMap (OSM) data. Through combining the high-level image features of geo-tagged photos with the road network data, we obtained the functional zoning map of the study area. The experiment result shows the effectiveness of the framework we proposed.