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Gaussian Mixture Model for Hyperspectral Unmixing with Low-..:
, In:
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
,
Jin, Qiwen
;
Ma, Yong
;
Mei, Xiaoguang
... - p. 294-297 , 2019
Link:
https://doi.org/10.1109/IGARSS.2019.8898410
RT T1 <cTitle>IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Gaussian Mixture Model for Hyperspectral Unmixing with Low-Rank Representation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8898410&Exemplar=1&LAN=DE A1 Jin, Qiwen A1 Ma, Yong A1 Mei, Xiaoguang A1 Dai, Xiaobing A1 Li, Hao A1 Fan, Fan A1 Huang, Jun YR 2019 SN 2153-7003 K1 Asphalt K1 Gaussian mixture model K1 Hyperspectral imaging K1 Correlation K1 Density functional theory K1 Complexity theory K1 Hyperspectral image analysis K1 superpixel segmentation K1 low-rank property SP 294 OP 297 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS.2019.8898410 DO https://doi.org/10.1109/IGARSS.2019.8898410 SF ELIB - SuUB Bremen
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