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Getachew Workineh Gella
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 7
Top Topics
Convolutional Neural Network
Satellite Imagery
Label Noise
Road Extraction
Top Venues
IGARSS
Remote. Sens.
IEEE Trans. Geosci. Remote. Sens.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
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Publications
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Getachew Workineh Gella
,
Charlotte Pelletier
,
Sébastien Lefèvre
,
Lorenz Wendt
,
Dirk Tiede
,
Stefan Lang
Unsupervised Domain Adaptation for Instance Segmentation: Extracting Dwellings in Temporary Settlements Across Various Geographical Settings.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
17 (2024)
Getachew Workineh Gella
,
Hugo Gangloff
,
Lorenz Wendt
,
Dirk Tiede
,
Stefan Lang
Self-Supervised Variational Autoencoder for Unsupervised Object Counting from Very-High-Resolution Satellite Imagery: Applications in Dwelling Extraction in FDP Settlement Areas.
IEEE Trans. Geosci. Remote. Sens.
62 (2024)
Getachew Workineh Gella
,
Hugo Gangloff
,
Lorenz Wendt
,
Dirk Tiede
,
Stefan Lang
Variational Autoencoders for Unsupervised Object Counting from VHR Imagery: Applications in Dwelling Extraction from Forcibly Displaced People Settlement Areas.
IGARSS
(2023)
Niklas Jaggy
,
Getachew Workineh Gella
,
Zahra Dabiri
,
Stefan Lang
,
Lorenz Wendt
,
Andreas Braun
Deep Learning Powered Non-Local Speckle Filtering of Sentinel-1 Imagery and its Potential for Humanitarian Action.
IGARSS
(2023)
Getachew Workineh Gella
,
Dirk Tiede
,
Stefan Lang
,
Lorenz Wendit
,
Yunya Gao
Spatially transferable dwelling extraction from Multi-Sensor imagery in IDP/Refugee Settlements: A meta-Learning approach.
Int. J. Appl. Earth Obs. Geoinformation
117 (2023)
Yunya Gao
,
Stefan Lang
,
Dirk Tiede
,
Getachew Workineh Gella
,
Lorenz Wendt
Comparing the robustness of U-Net, LinkNet, and FPN towards label noise for refugee dwelling extraction from satellite imagery.
GHTC
(2022)
Getachew Workineh Gella
,
Lorenz Wendt
,
Stefan Lang
,
Dirk Tiede
,
Barbara Hofer
,
Yunya Gao
,
Andreas Braun
Mapping of Dwellings in IDP/Refugee Settlements from Very High-Resolution Satellite Imagery Using a Mask Region-Based Convolutional Neural Network.
Remote. Sens.
14 (3) (2022)