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1 Ergebnisse
1
In-Depth Mining Spatial Pattern Of Invasive Alien Species B..:
, In:
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
,
Hung, Hao-Yuan
;
Hsu, Chin-Rou
;
Shao, Bao-Hua
.. - p. 6208-6211 , 2023
Link:
https://doi.org/10.1109/IGARSS52108.2023.10282476
RT T1 <cTitle>IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>In-Depth Mining Spatial Pattern Of Invasive Alien Species By Deep Learning From Phenological-Based Drone Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10282476&Exemplar=1&LAN=DE A1 Hung, Hao-Yuan A1 Hsu, Chin-Rou A1 Shao, Bao-Hua A1 Lo, Nan-Chang A1 Huang, Kai-Yi YR 2023 SN 2153-7003 K1 Support vector machines K1 Radio frequency K1 Deep learning K1 Surveys K1 Analytical models K1 Biological system modeling K1 Autonomous aerial vehicles K1 Spartina alterniflora K1 unmanned aerial vehicle K1 machine learning K1 deep learning K1 revalidation SP 6208 OP 6211 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS52108.2023.10282476 DO https://doi.org/10.1109/IGARSS52108.2023.10282476 SF ELIB - SuUB Bremen
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