A Deep-Learning Method for the Prediction of Socio-Economic Indicators from Street-View Imagery Using a Case Study from Brazil-Reference-Cited by-同舟云学术

A Deep-Learning Method for the Prediction of Socio-Economic Indicators from Street-View Imagery Using a Case Study from Brazil

Published:2022 Issue: Volume:21 Page:
ISSN:1683-1470
Container-title:Data Science Journal
language:en
Short-container-title:

Author:

Machicao Jeaneth^ORCID,Specht Alison^ORCID,Vellenich Danton^ORCID,Meneguzzi Leandro^ORCID,David Romain^ORCID,Stall Shelley^ORCID,Ferraz Katia^ORCID,Mabile Laurence^ORCID,O’Brien Margaret^ORCID,Corrêa Pedro^ORCID

Publisher

Ubiquity Press, Ltd.

Subject

Computer Science Applications,Computer Science (miscellaneous)

Reference28 articles.

1. Interpretable socioeconomic status inference from aerial imagery through urban patterns;Nat Mach Intell,2020

2. Proposta metodológica para o cálculo e análise espacial do IDH intraurbano de Viçosa–MG;Revista Brasileira de Estudos de População,2011

3. Generating Interpretable Poverty Maps using Object Detection in Satellite Images,2020

4. Using satellite imagery to understand and promote sustainable development;Science,2021

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DeepWealth: A generalizable open-source deep learning framework using satellite images for well-being estimation;SoftwareX;2024-09

2. Assessing the Feasibility and Ethics of Economic Status Prediction using Deep Learning on Household Images;ACM Journal on Computing and Sustainable Societies;2024-06-28

3. Using data science for sustainable development in higher education;Sustainable Development;2023-06-21

4. Mitigation Strategies to Improve Reproducibility of Poverty Estimations From Remote Sensing Images Using Deep Learning;Earth and Space Science;2022-08