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Training a single multi-class convolutional segmentation ne..:
, In:
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
,
Kong, Fanjie
;
Chen, Cheng
;
Huang, Bohao
... - p. 3903-3906 , 2019
Link:
https://doi.org/10.1109/IGARSS.2019.8898617
RT T1
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
: T1
Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: preliminary results
UL https://suche.suub.uni-bremen.de/peid=ieee-8898617&Exemplar=1&LAN=DE A1 Kong, Fanjie A1 Chen, Cheng A1 Huang, Bohao A1 Collins, Leslie M. A1 Bradbury, Kyle A1 Malof, Jordan M. YR 2019 SN 2153-7003 K1 Training K1 Buildings K1 Roads K1 Labeling K1 Image segmentation K1 Convolutional neural networks K1 Satellites K1 semantic segmentation K1 convolutional neural networks K1 deep learning K1 aerial imagery K1 building detection SP 3903 OP 3906 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS.2019.8898617 DO https://doi.org/10.1109/IGARSS.2019.8898617 SF ELIB - SuUB Bremen
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