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1 Ergebnisse
1
Application of UNet Fully Convolutional Neural Network to I..:
, In:
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
,
McGlinchy, Joe
;
Johnson, Brian
;
Muller, Brian
.. - p. 3915-3918 , 2019
Link:
https://doi.org/10.1109/IGARSS.2019.8900453
RT T1 <cTitle>IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Application of UNet Fully Convolutional Neural Network to Impervious Surface Segmentation in Urban Environment from High Resolution Satellite Imagery</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8900453&Exemplar=1&LAN=DE A1 McGlinchy, Joe A1 Johnson, Brian A1 Muller, Brian A1 Joseph, Maxwell A1 Diaz, Jeremy YR 2019 SN 2153-7003 K1 Training K1 Image segmentation K1 Remote sensing K1 Satellites K1 Surface treatment K1 Sea surface K1 Task analysis K1 Image Segmentation K1 Multispectral Satellite Imagery K1 High Resolution Satellite Imagery K1 Fully Convolutional Neural Network (FCNN) K1 UNet K1 Impervious Surface Mapping SP 3915 OP 3918 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS.2019.8900453 DO https://doi.org/10.1109/IGARSS.2019.8900453 SF ELIB - SuUB Bremen
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