Semi-Supervised ‘Soft’ Extraction of Urban Types Associated with Deprivation-Reference-Cited by-同舟云学术

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Semi-Supervised ‘Soft’ Extraction of Urban Types Associated with Deprivation

Published:2024-07-07 Issue: Volume: Page:1581-1584
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Vanhuysse Sabine¹,Abascal Angela²,Wang Jon³,Georganos Stefanos⁴,Kuffer Monika³,Wolff Eléonore¹

Affiliation:

1. Université Libre de Bruxelles (ULB),Department of Geosciences, Environment and Society,Brussels,Belgium

2. Public University of Navarre,Department of Engineering,Pamplona,Spain

3. University of Twente,Faculty of Geo-Information Science and Earth Observation (ITC),Enschede,The Netherlands

4. Karlstad University,Faculty of Health, Science and Technology,Department of Environmental and Life Sciences, Geomatics,Karlstad,Sweden

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642280.pdf?arnumber=10642280

Reference12 articles.

1. Geospatial information needs for informal settlement upgrading – A review

2. Voices and challenges of marginalized and vulnerable groups in urban informal settlements in Nairobi, Kenya: building on a spectrum of community-based participatory research approaches

3. Putting the Invisible on the Map: Low-Cost Earth Observation for Mapping and Characterizing Deprived Urban Areas (Slums)

4. Capturing deprived areas using unsupervised machine learning and open data: a case study in São Paulo, Brazil

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