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Prior Information in Support of Deep Learning Methods to Ma..:
, In:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
,
Zhao, Jie
;
Li, Yu
;
Matgen, Patrick
... - p. 5216-5219 , 2022
Link:
https://doi.org/10.1109/IGARSS46834.2022.9883027
RT T1 <cTitle>IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Prior Information in Support of Deep Learning Methods to Map Floodwater in Urbanized Areas</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9883027&Exemplar=1&LAN=DE A1 Zhao, Jie A1 Li, Yu A1 Matgen, Patrick A1 Pelich, Ramona A1 Hostache, Renaud A1 Wagner, Wofgang A1 Chini, Marco YR 2022 SN 2153-7003 K1 Deep learning K1 Urban areas K1 Buildings K1 Geoscience and remote sensing K1 Coherence K1 Probabilistic logic K1 Complexity theory K1 urban flood mapping K1 U-Net K1 urban-aware K1 deep learning K1 multi-temporal SAR SP 5216 OP 5219 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS46834.2022.9883027 DO https://doi.org/10.1109/IGARSS46834.2022.9883027 SF ELIB - SuUB Bremen
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