Variational Autoencoders for Unsupervised Object Counting from VHR Imagery: Applications in Dwelling Extraction from Forcibly Displaced People Settlement Areas

Getachew Workineh Gella; Hugo Gangloff; Lorenz Wendt; Dirk Tiede; Stefan Lang

doi:10.1109/IGARSS52108.2023.10281849

Variational Autoencoders for Unsupervised Object Counting from VHR Imagery: Applications in Dwelling Extraction from Forcibly Displaced People Settlement Areas

Getachew Workineh Gella^*, Hugo Gangloff, Lorenz Wendt, Dirk Tiede, Stefan Lang

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

Geoinformatik

Publikation: Beitrag in Buch/Bericht/Konferenzband/Gesetzeskommentar › Konferenzbeitrag › Peer-reviewed

Originalsprache	Englisch
Titel	IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers Inc.
Seiten	1162-1165
Seitenumfang	4
ISBN (elektronisch)	9798350320107
DOIs	https://doi.org/10.1109/IGARSS52108.2023.10281849
Publikationsstatus	Veröffentlicht - 2023
Veranstaltung	2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 - Pasadena, USA/Vereinigte Staaten Dauer: 16 Juli 2023 → 21 Juli 2023

Publikationsreihe

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Band	2023-July

Konferenz

Konferenz	2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
Land/Gebiet	USA/Vereinigte Staaten
Ort	Pasadena
Zeitraum	16/07/23 → 21/07/23

Bibliographische Notiz

Publisher Copyright:
© 2023 IEEE.

Systematik der Wissenschaftszweige 2012

107 Andere Naturwissenschaften

UN SDGs

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

Zugriff auf Dokument

10.1109/IGARSS52108.2023.10281849

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Dieses zitieren

Gella, G. W., Gangloff, H., Wendt, L., Tiede, D., & Lang, S. (2023). Variational Autoencoders for Unsupervised Object Counting from VHR Imagery: Applications in Dwelling Extraction from Forcibly Displaced People Settlement Areas. in IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (S. 1162-1165). (International Geoscience and Remote Sensing Symposium (IGARSS); Band 2023-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS52108.2023.10281849

Gella, Getachew Workineh ; Gangloff, Hugo ; Wendt, Lorenz et al. / Variational Autoencoders for Unsupervised Object Counting from VHR Imagery : Applications in Dwelling Extraction from Forcibly Displaced People Settlement Areas. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. S. 1162-1165 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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title = "Variational Autoencoders for Unsupervised Object Counting from VHR Imagery: Applications in Dwelling Extraction from Forcibly Displaced People Settlement Areas",

keywords = "Anomaly detection, Dwelling extraction, Emergency response, Variational Autoencoder",

author = "Gella, {Getachew Workineh} and Hugo Gangloff and Lorenz Wendt and Dirk Tiede and Stefan Lang",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 ; Conference date: 16-07-2023 Through 21-07-2023",

year = "2023",

doi = "10.1109/IGARSS52108.2023.10281849",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

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Gella, GW, Gangloff, H, Wendt, L , Tiede, D & Lang, S 2023, Variational Autoencoders for Unsupervised Object Counting from VHR Imagery: Applications in Dwelling Extraction from Forcibly Displaced People Settlement Areas. in IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. International Geoscience and Remote Sensing Symposium (IGARSS), Bd. 2023-July, Institute of Electrical and Electronics Engineers Inc., S. 1162-1165, 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, USA/Vereinigte Staaten, 16/07/23. https://doi.org/10.1109/IGARSS52108.2023.10281849

Variational Autoencoders for Unsupervised Object Counting from VHR Imagery: Applications in Dwelling Extraction from Forcibly Displaced People Settlement Areas. / Gella, Getachew Workineh; Gangloff, Hugo; Wendt, Lorenz et al.
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. S. 1162-1165 (International Geoscience and Remote Sensing Symposium (IGARSS); Band 2023-July).

Publikation: Beitrag in Buch/Bericht/Konferenzband/Gesetzeskommentar › Konferenzbeitrag › Peer-reviewed

TY - GEN

T1 - Variational Autoencoders for Unsupervised Object Counting from VHR Imagery

T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023

AU - Gella, Getachew Workineh

AU - Gangloff, Hugo

AU - Wendt, Lorenz

AU - Tiede, Dirk

AU - Lang, Stefan

PY - 2023

Y1 - 2023

KW - Anomaly detection

KW - Dwelling extraction

KW - Emergency response

KW - Variational Autoencoder

UR - http://www.scopus.com/inward/record.url?scp=85178372890&partnerID=8YFLogxK

U2 - 10.1109/IGARSS52108.2023.10281849

DO - 10.1109/IGARSS52108.2023.10281849

M3 - Conference contribution

AN - SCOPUS:85178372890

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 1162

EP - 1165

BT - IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 16 July 2023 through 21 July 2023

ER -

Gella GW, Gangloff H, Wendt L , Tiede D , Lang S. Variational Autoencoders for Unsupervised Object Counting from VHR Imagery: Applications in Dwelling Extraction from Forcibly Displaced People Settlement Areas. in IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. S. 1162-1165. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS52108.2023.10281849