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Wind turbine blade defect detection using hyperspectral ima..:
Rizk, Patrick
;
Younes, Rafic
;
Ilinca, Adrian
.
Remote Sensing Applications: Society and Environment. 22 (2021) - p. 100522 , 2021
Link:
https://doi.org/10.1016/j.rsase.2021.100522
RT Journal T1 <Title>Wind turbine blade defect detection using hyperspectral imaging</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.rsase.2021.100522&Exemplar=1&LAN=DE A1 Rizk, Patrick A1 Younes, Rafic A1 Ilinca, Adrian A1 Khoder, Jihan PB Elsevier BV YR 2021 SN 2352-9385 JF Remote Sensing Applications: Society and Environment VO 22 SP 100522 LK http://dx.doi.org/https://doi.org/10.1016/j.rsase.2021.100522 DO https://doi.org/10.1016/j.rsase.2021.100522 SF ELIB - SuUB Bremen
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