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Bayesian approach for predicting photogrammetric uncertaint..:
Bierlich, KC
;
Schick, RS
;
Hewitt, J
...
Marine Ecology Progress Series. 673 (2021) - p. 193-210 , 2021
Link:
https://doi.org/10.3354/meps13814
RT Journal T1 <Title>Bayesian approach for predicting photogrammetric uncertainty in morphometric measurements derived from drones</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.3354_meps13814&Exemplar=1&LAN=DE A1 Bierlich, KC A1 Schick, RS A1 Hewitt, J A1 Dale, J A1 Goldbogen, JA A1 Friedlaender, AS A1 Johnston, DW PB Inter-Research Science Center YR 2021 SN 0171-8630 SN 1616-1599 JF Marine Ecology Progress Series VO 673 SP 193 OP 210 LK http://dx.doi.org/https://doi.org/10.3354/meps13814 DO https://doi.org/10.3354/meps13814 SF ELIB - SuUB Bremen
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