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Hyperspectral Image Classification Based on Generative Adve..:

, In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium,

Zhan, Ying ; Medjadba, Yasmine ; Wang, Guian... - p. 811-814 , 2019

Link: https://doi.org/10.1109/IGARSS.2019.8899291

RT 
T1 <cTitle>IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Hyperspectral Image Classification Based on Generative Adversarial Networks with Feature Fusing and Dynamic Neighborhood Voting Mechanism</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-8899291&Exemplar=1&LAN=DE
				
A1 Zhan, Ying
A1 Medjadba, Yasmine
A1 Wang, Guian
A1 Yu, Xianchuan
A1 Qin, Jin
A1 Huang, Tao
A1 Wu, Kang
A1 Hu, Dan
A1 Zhao, Zhengang
A1 Wang, Yuntao
A1 Cao, Ying
A1 Jiao, RunCheng
YR 2019
SN 2153-7003
K1 Generative adversarial networks
K1 Feature extraction
K1 Hyperspectral imaging
K1 Semisupervised learning
K1 Image classification
K1 Gallium nitride
K1 Hyperspectral images classification
K1 semi-supervised learning (SSL)
K1 generative adversarial networks (GAN)
K1 deep learning
K1 spectral-spatial classification
SP 811
OP 814
LK http://dx.doi.org/https://doi.org/10.1109/IGARSS.2019.8899291
DO https://doi.org/10.1109/IGARSS.2019.8899291
SF ELIB - SuUB Bremen

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