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1 Ergebnisse
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A joint learning Im-BiLSTM model for incomplete time-series..:
Chen, Baili
;
Zheng, Hongwei
;
Wang, Lili
...
International Journal of Applied Earth Observation and Geoinformation. 108 (2022) - p. 102762 , 2022
Link:
https://doi.org/10.1016/j.jag.2022.102762
RT Journal T1
A joint learning Im-BiLSTM model for incomplete time-series Sentinel-2A data imputation and crop classification
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jag.2022.102762&Exemplar=1&LAN=DE A1 Chen, Baili A1 Zheng, Hongwei A1 Wang, Lili A1 Hellwich, Olaf A1 Chen, Chunbo A1 Yang, Liao A1 Liu, Tie A1 Luo, Geping A1 Bao, Anming A1 Chen, Xi PB Elsevier BV YR 2022 SN 1569-8432 JF International Journal of Applied Earth Observation and Geoinformation VO 108 SP 102762 LK http://dx.doi.org/https://doi.org/10.1016/j.jag.2022.102762 DO https://doi.org/10.1016/j.jag.2022.102762 SF ELIB - SuUB Bremen
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