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KTH Royal Institute of Technology
- Stockholm, Sweden
- https://orcid.org/0000-0003-3560-638X
- https://scholar.google.com/citations?user=_-DKm-wAAAAJ&hl=en
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SiameseSSL
SiameseSSL PublicUrban change detection with a Dual-Task Siamese network and semi-supervised learning
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DDA_UrbanExtraction
DDA_UrbanExtraction PublicUnsupervised domain adaptation for global urban extraction using Sentinel-1 SAR and Sentinel-2 MSI data
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DDA_PopulationMapping
DDA_PopulationMapping PublicDeep learning-based population mapping from Earth observation data in Sub-Saharan Africa
Python 3
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PopulationGrowthMapping_Kigali
PopulationGrowthMapping_Kigali PublicPopulation Growth Mapping in Kigali using bi-temporal Sentinel-2 data and a Siamese network trained with weak supervision at the census level
Python 1
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SemiSupervisedMultiModalCD
SemiSupervisedMultiModalCD PublicSemi-supervsed urban change detection with multi-modal Sentinel-1 SAR and Sentinel-2 MSI data.
Python 3
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