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1
On the Deployment of Post-Disaster Building Damage Assessme..:
, In:
2022 IEEE International Conference on Data Mining Workshops (ICDMW)
,
Gholami, Shahrzad
;
Robinson, Caleb
;
Ortiz, Anthony
... - p. 1029-1036 , 2022
Link:
https://doi.org/10.1109/ICDMW58026.2022.00134
RT T1 <cTitle>2022 IEEE International Conference on Data Mining Workshops (ICDMW)</cTitle>: T1 <Title>On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10031100&Exemplar=1&LAN=DE A1 Gholami, Shahrzad A1 Robinson, Caleb A1 Ortiz, Anthony A1 Yang, Siyu A1 Margutti, Jacopo A1 Birge, Cameron A1 Dodhia, Rahul A1 Ferres, Juan Lavista YR 2022 SN 2375-9259 K1 Visualization K1 Image segmentation K1 Satellites K1 Buildings K1 Organizations K1 Predictive models K1 Planning K1 satellite imagery datasets K1 neural networks K1 image segmentation K1 building damage classification K1 natural dis-asters K1 humanitarian action SP 1029 OP 1036 LK http://dx.doi.org/https://doi.org/10.1109/ICDMW58026.2022.00134 DO https://doi.org/10.1109/ICDMW58026.2022.00134 SF ELIB - SuUB Bremen
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