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1
A New 3D Convolution Network for Hyperspectral Unmixing:
, In:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
,
Tao, X.
;
Paoletti, M.E.
;
Han, L.
... - p. 1620-1623 , 2022
Link:
https://doi.org/10.1109/IGARSS46834.2022.9883506
RT T1 <cTitle>IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>A New 3D Convolution Network for Hyperspectral Unmixing</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9883506&Exemplar=1&LAN=DE A1 Tao, X. A1 Paoletti, M.E. A1 Han, L. A1 Wu, Z. A1 Jimenez, L.I. A1 Haut, J.M. A1 Ren, P. A1 Plaza, J. A1 Plaza, A. YR 2022 SN 2153-7003 K1 Deep learning K1 Three-dimensional displays K1 Convolution K1 Fitting K1 Estimation K1 Geoscience and remote sensing K1 Data mining K1 Hyperspectral unmixing K1 convolutional neural network K1 3D convolution SP 1620 OP 1623 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS46834.2022.9883506 DO https://doi.org/10.1109/IGARSS46834.2022.9883506 SF ELIB - SuUB Bremen
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