Spatially transferable dwelling extraction from Multi-Sensor imagery in IDP/Refugee Settlements: A meta-Learning approach

Getachew Workineh Gella; Dirk Tiede; Stefan Lang; Lorenz Wendit; Yunya Gao

doi:10.1016/j.jag.2023.103210

Spatially transferable dwelling extraction from Multi-Sensor imagery in IDP/Refugee Settlements: A meta-Learning approach

Getachew Workineh Gella^*, Dirk Tiede, Stefan Lang, Lorenz Wendit, Yunya Gao

^*Korrespondierende/r Autor/-in für diese Arbeit

Geoinformatik

Publikation: Beitrag in Fachzeitschrift › Review article › Peer-reviewed

Originalsprache	Englisch
Aufsatznummer	103210
Fachzeitschrift	International Journal of Applied Earth Observation and Geoinformation
Jahrgang	117
DOIs	https://doi.org/10.1016/j.jag.2023.103210
Publikationsstatus	Veröffentlicht - März 2023

Bibliographische Notiz

Publisher Copyright:
© 2023

Systematik der Wissenschaftszweige 2012

211 Andere Technische Wissenschaften

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

Zugriff auf Dokument

10.1016/j.jag.2023.103210

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Verknüpfung zur Publikation in Scopus

Dieses zitieren

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title = "Spatially transferable dwelling extraction from Multi-Sensor imagery in IDP/Refugee Settlements: A meta-Learning approach",

keywords = "Deep learning, Dwelling extraction, Humanitarian response, MAML, Meta-learning, Self-supervision, Weighted gradient update",

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year = "2023",

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T2 - A meta-Learning approach

AU - Gella, Getachew Workineh

AU - Tiede, Dirk

AU - Lang, Stefan

AU - Wendit, Lorenz

AU - Gao, Yunya

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KW - Dwelling extraction

KW - Humanitarian response

KW - MAML

KW - Meta-learning

KW - Self-supervision

KW - Weighted gradient update

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DO - 10.1016/j.jag.2023.103210

M3 - Review article

AN - SCOPUS:85147100946

SN - 1569-8432

VL - 117

JO - International Journal of Applied Earth Observation and Geoinformation

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