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1 Ergebnisse
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Disaster assessment using computer vision and satellite ima..:
Danu Kim
;
Jeongkyung Won
;
Eunji Lee
...
https://www.frontiersin.org/articles/10.3389/fenvs.2022.969758/full. , 2022
Link:
https://doi.org/10.3389/fenvs.2022.969758
RT Journal T1 <Title>Disaster assessment using computer vision and satellite imagery: Applications in detecting water-related building damages</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:3e05519f84a94608928af509fab84281&Exemplar=1&LAN=DE A1 Danu Kim A1 Jeongkyung Won A1 Eunji Lee A1 Kyung Ryul Park A1 Jihee Kim A1 Sangyoon Park A1 Hyunjoo Yang A1 Meeyoung Cha PB Frontiers Media S.A. YR 2022 K1 natural disaster K1 computer vision K1 machine learning K1 daytime satellite imagery K1 damage detection K1 disaster response K1 Environmental sciences K1 GE1-350 JF https://www.frontiersin.org/articles/10.3389/fenvs.2022.969758/full LK http://dx.doi.org/https://doi.org/10.3389/fenvs.2022.969758 DO https://doi.org/10.3389/fenvs.2022.969758 SF ELIB - SuUB Bremen
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