Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas-Reference-Cited by-同舟云学术

Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas

Published:2022-07 Issue: Volume:95 Page:101820
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Abascal Angela,Rodríguez-Carreño Ignacio,Vanhuysse Sabine,Georganos Stefanos,Sliuzas Richard,Wolff Eleonore,Kuffer Monika

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Elsevier BV

Subject

Urban Studies,General Environmental Science,Ecological Modeling,Geography, Planning and Development

Reference100 articles.

1. “Domains of deprivation framework” for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A scoping review;Abascal,2021

2. Identifying a slums’ degree of deprivation from VHR images using convolutional neural networks;Ajami;Remote Sensing,2019

3. A state-of-the-art survey on deep learning theory and architectures;Alom;Electronics (Switzerland),2019

4. A spatial approach to identify slum areas in east Wara sub-districts, South Sulawesi;Anurogo;IOP Conference Series: Earth and Environmental Science,2017

5. Population and health dynamics in Nairobi’s informal settlements: Report of the Nairobi cross-sectional slums survey (NCSS). Nairobi: APHRC, April;APHRC,2012

Cited by 25 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. Can consumer big data reveal often-overlooked urban poverty? Evidence from Guangzhou, China;Computers, Environment and Urban Systems;2024-10

2. Spatial inequalities and cities: A review;Environment and Planning B: Urban Analytics and City Science;2024-07-24

3. Large Area Mapping of Urban Deprivation from Sentinel-2 and Google Open Buildings using Deep Learning;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. IDEAMAPS: Modelling Sub-Domains of Deprivation with EO and AI;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

5. Feature-guided deep learning model for mapping deprived areas;2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS);2024-04-08