Annals of the American Association of Geographers
Volume 114, 2024 - Issue 5
Articles
Urban Visual Intelligence: Studying Cities with Artificial Intelligence and Street-Level Imagery
Fan Zhanga Institute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, ChinaCorrespondence[email protected]
https://orcid.org/0000-0002-3643-018XView further author information
https://orcid.org/0000-0002-3643-018XView further author information, Arianna Salazar-Mirandab Senseable City Lab, Massachusetts Institute of Technology, USA;c Department of Urban Studies and Planning, Massachusetts Institute of Technology, USAhttps://orcid.org/0000-0003-4093-9250View further author information
https://orcid.org/0000-0003-4093-9250View further author information, Fábio Duarteb Senseable City Lab, Massachusetts Institute of Technology, USAhttps://orcid.org/0000-0003-0909-5379View further author information
https://orcid.org/0000-0003-0909-5379View further author information, , , Min Chend Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Chinahttps://orcid.org/0000-0001-8922-8789View further author information
https://orcid.org/0000-0001-8922-8789View further author information, Yu Liua Institute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Chinahttps://orcid.org/0000-0002-0016-2902View further author information
https://orcid.org/0000-0002-0016-2902View further author information, Michael Battye Centre for Advanced Spatial Analysis, Faculty of the Built Environment, University College London, UKhttps://orcid.org/0000-0002-9931-1305View further author information
https://orcid.org/0000-0002-9931-1305View further author information & show all