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A sparsity-based Bayesian approach for hyperspectral unmixi..:
Amiri, F.
;
Kahaei, M. H.
Signal, Image and Video Processing. 12 (2018) 7 - p. 1361-1367 , 2018
Link:
https://doi.org/10.1007/s11760-018-1290-0
RT Journal T1 <Title>A sparsity-based Bayesian approach for hyperspectral unmixing using normal compositional model</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s11760-018-1290-0&Exemplar=1&LAN=DE A1 Amiri, F. A1 Kahaei, M. H. PB Springer Science and Business Media LLC YR 2018 SN 1863-1703 SN 1863-1711 JF Signal, Image and Video Processing VO 12 IS 7 SP 1361 OP 1367 LK http://dx.doi.org/https://doi.org/10.1007/s11760-018-1290-0 DO https://doi.org/10.1007/s11760-018-1290-0 SF ELIB - SuUB Bremen
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