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1
Developing a Framework for Rapid Collapsed Building Mapping..:
, In:
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
,
Adriano, Bruno
;
Miura, Hiroyuki
;
Liu, Wen
.. - p. 1273-1276 , 2023
Link:
https://doi.org/10.1109/IGARSS52108.2023.10282604
RT T1 <cTitle>IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Developing a Framework for Rapid Collapsed Building Mapping Using Satellite Imagery and Deep Learning Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10282604&Exemplar=1&LAN=DE A1 Adriano, Bruno A1 Miura, Hiroyuki A1 Liu, Wen A1 Matsuoka, Masashi A1 Koshimura, Shunichi YR 2023 SN 2153-7003 K1 Training K1 Deep learning K1 Semantic segmentation K1 Buildings K1 Earthquakes K1 Urban areas K1 Training data K1 Building damage mapping K1 deep learning models K1 building footprint segmentation K1 2007 Peru-Pisco Earthquake K1 2023 Turkey and Syria Earthquakes SP 1273 OP 1276 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS52108.2023.10282604 DO https://doi.org/10.1109/IGARSS52108.2023.10282604 SF ELIB - SuUB Bremen
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