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1
Clustering of Remotely Sensed Time Series using Functional ..:
, In:
2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)
,
Coviello, Luca
;
Martini, Francesco Maria
;
Cesaretti, Lorenzo
... - p. 141-145 , 2022
Link:
https://doi.org/10.1109/MetroAgriFor55389.2022.9964799
RT T1 <cTitle>2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)</cTitle>: T1 <Title>Clustering of Remotely Sensed Time Series using Functional Principal Component Analysis to Monitor Crops</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9964799&Exemplar=1&LAN=DE A1 Coviello, Luca A1 Martini, Francesco Maria A1 Cesaretti, Lorenzo A1 Pesaresi, Simone A1 Solfanelli, Francesco A1 Mancini, Adriano YR 2022 K1 Schedules K1 Time series analysis K1 Crops K1 Vegetation mapping K1 Metrology K1 Indexes K1 Task analysis K1 FPCA K1 time-series K1 crop monitoring K1 clustering K1 machine learning SP 141 OP 145 LK http://dx.doi.org/https://doi.org/10.1109/MetroAgriFor55389.2022.9964799 DO https://doi.org/10.1109/MetroAgriFor55389.2022.9964799 SF ELIB - SuUB Bremen
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