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On The Extraction of Training Imagery from Very Large Remot..:
, In:
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
,
Huang, Bohao
;
Reichman, Daniel
;
Collins, Leslie M.
.. - p. 6895-6898 , 2018
Link:
https://doi.org/10.1109/IGARSS.2018.8519523
RT T1 <cTitle>IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>On The Extraction of Training Imagery from Very Large Remote Sensing Datasets for Deep Convolutional Segmenatation Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8519523&Exemplar=1&LAN=DE A1 Huang, Bohao A1 Reichman, Daniel A1 Collins, Leslie M. A1 Bradbury, Kyle A1 Malof, Jordan M. YR 2018 SN 2153-7003 K1 Training K1 Labeling K1 Urban areas K1 Remote sensing K1 Redundancy K1 Image segmentation K1 Computational efficiency K1 semantic segmentation K1 convolutional neural networks K1 remote sensing data K1 aerial imagery K1 building detection SP 6895 OP 6898 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS.2018.8519523 DO https://doi.org/10.1109/IGARSS.2018.8519523 SF ELIB - SuUB Bremen
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