Inferring socioeconomic environment from built environment characteristics based street view images: An approach of Seq2Seq method

Author:

Zhang YanORCID,Zhang Fan,Fang Libo,Chen NengchengORCID

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference65 articles.

1. DFCNN-based semantic recognition of urban functional zones by integrating remote sensing data and POI data;Bao;Remote Sens.,2020

2. The whole is other than the sum of its parts: Sensibility analysis of 360°urban image splitting;Beaucamp;ISPRS Ann. Photogramm., Remote Sens. Spatial Inf. Sci.,2022

3. Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives;Biljecki;Int. J. Appl. Earth Obs. Geoinf.,2023

4. Spatial information and the legibility of urban form: Big data in urban morphology;Boeing;Int. J. Inf. Manage.,2021

5. On the opportunities and risks of foundation models;Bommasani,2021

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1. Nonlinear impacts of urban built environment on freight emissions;Transportation Research Part D: Transport and Environment;2024-09

2. Analysing gender differences in the perceived safety from street view imagery;International Journal of Applied Earth Observation and Geoinformation;2023-11

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