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Ideal Regularized Kernel Subspace Alignment for Unsupervise..:
, In:
2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)
,
Fan, Wenqi
;
Wei, Tianhui
;
Peng, Jiangtao
. - p. 1-4 , 2019
Link:
https://doi.org/10.1109/Multi-Temp.2019.8866985
RT T1 <cTitle>2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)</cTitle>: T1 <Title>Ideal Regularized Kernel Subspace Alignment for Unsupervised Domain Adaptation in Hyperspectral Image Classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8866985&Exemplar=1&LAN=DE A1 Fan, Wenqi A1 Wei, Tianhui A1 Peng, Jiangtao A1 Sun, Weiwei YR 2019 K1 Kernel K1 Hyperspectral imaging K1 Principal component analysis K1 Support vector machines K1 Sensors K1 Symmetric matrices K1 Hyperspectral image classification K1 domain adaption K1 subspace alignment K1 ideal kernel K1 regularization SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/Multi-Temp.2019.8866985 DO https://doi.org/10.1109/Multi-Temp.2019.8866985 SF ELIB - SuUB Bremen
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