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Nonlinear classification of hyperspectral signatures in hig..:
, In:
2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
,
Schmalz, Mark S.
;
Hayden, Eric
;
Ritter, Gerhard X.
- p. 1-4 , 2013
Link:
https://doi.org/10.1109/WHISPERS.2013.8080739
RT T1
2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
: T1
Nonlinear classification of hyperspectral signatures in high noise
UL https://suche.suub.uni-bremen.de/peid=ieee-8080739&Exemplar=1&LAN=DE A1 Schmalz, Mark S. A1 Hayden, Eric A1 Ritter, Gerhard X. YR 2013 SN 2158-6276 K1 Hyperspectral imaging K1 Lattices K1 Signal to noise ratio K1 Gaussian noise K1 Computational efficiency K1 Standards K1 Hyperspectral signature K1 Nonlinear classification K1 Noise analysis K1 Computational intelligence SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/WHISPERS.2013.8080739 DO https://doi.org/10.1109/WHISPERS.2013.8080739 SF ELIB - SuUB Bremen
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