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21 000 birds in 4.5 h: efficient large‐scale seabird detect..:
Kellenberger, Benjamin
;
Veen, Thor
;
Folmer, Eelke
...
Remote Sensing in Ecology and Conservation. 7 (2021) 3 - p. 445-460 , 2021
Link:
https://doi.org/10.1002/rse2.200
RT Journal T1 <Title>21 000 birds in 4.5 h: efficient large‐scale seabird detection with machine learning</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1002_rse2.200&Exemplar=1&LAN=DE A1 Kellenberger, Benjamin A1 Veen, Thor A1 Folmer, Eelke A1 Tuia, Devis A1 Horning, Ned A1 Scales, Kylie PB Wiley YR 2021 SN 2056-3485 SN 2056-3485 JF Remote Sensing in Ecology and Conservation VO 7 IS 3 SP 445 OP 460 LK http://dx.doi.org/https://doi.org/10.1002/rse2.200 DO https://doi.org/10.1002/rse2.200 SF ELIB - SuUB Bremen
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