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A Deep Learning Approach for Automated Building Outlines Ex..:
, In:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
,
Kalantar, Bahareh
;
Ojogbane, Sani Success
;
Seydi, Seyd Teymoor
... - p. 7491-7494 , 2022
Link:
https://doi.org/10.1109/IGARSS46834.2022.9884697
RT T1
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
: T1
A Deep Learning Approach for Automated Building Outlines Extraction in Compact Urban Environments
UL https://suche.suub.uni-bremen.de/peid=ieee-9884697&Exemplar=1&LAN=DE A1 Kalantar, Bahareh A1 Ojogbane, Sani Success A1 Seydi, Seyd Teymoor A1 Halin, Alfian Abdul A1 Mansor, Shattri A1 Ueda, Naonori YR 2022 SN 2153-7003 K1 Deep learning K1 Laser radar K1 Convolution K1 Buildings K1 Urban areas K1 Production K1 Sensors K1 extraction K1 LiDAR K1 CNN K1 high-resolution aerial imagery SP 7491 OP 7494 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS46834.2022.9884697 DO https://doi.org/10.1109/IGARSS46834.2022.9884697 SF ELIB - SuUB Bremen
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